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Reading Data
BLOC 2022-2024
Elo June-First 2022
-Competitors = 20-
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1000 |
1 |
1030.40 |
53.9 % |
51.5 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1000 |
2 |
1027.03 |
53.4 % |
51 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1000 |
3 |
1023.66 |
52.9 % |
50.5 % |
Vera BRIONGOS MARTÍN |
FEXME |
1000 |
4 |
1020.29 |
52.4 % |
50 % |
Mar CARREÑO ESCOBAR |
FADMES |
1000 |
5 |
1016.93 |
51.9 % |
49.5 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000 |
6 |
1013.56 |
51.5 % |
49 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1000 |
7 |
1010.19 |
51 % |
48.5 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1000 |
8 |
1006.82 |
50.5 % |
48.1 % |
Candela GARCIA VALLINA |
FEMPA |
1000 |
9 |
1003.45 |
50 % |
47.6 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
1000 |
10 |
1000.08 |
49.5 % |
47.1 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
1000 |
11 |
996.72 |
49 % |
46.6 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
1000 |
12 |
993.35 |
48.5 % |
46.1 % |
Marina PABLO LASSA |
FAM |
1000 |
13 |
989.98 |
48.1 % |
45.6 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
1000 |
14 |
986.61 |
47.6 % |
45.2 % |
Nerea PÉREZ PEREA |
FMM |
1000 |
15 |
983.24 |
47.1 % |
44.7 % |
Jordana PEREZ GRANELL |
FEMECV |
1000 |
16 |
979.87 |
46.6 % |
44.2 % |
Sara FERNANDEZ ALVES |
FMM |
1000 |
17 |
976.51 |
46.1 % |
43.7 % |
Elena CARAMES GONZALEZ |
FEMPA |
1000 |
18 |
973.14 |
45.6 % |
43.3 % |
Samara FERRAGUT MARTINEZ |
FBME |
1000 |
19 |
969.77 |
45.2 % |
42.8 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
1000 |
20 |
966.40 |
44.7 % |
42.3 % |
######Elo History check code Chunk if running Sub16
alone
Elo Accumulated First_June_2022
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1030.40 |
53.9 % |
51.5 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1027.03 |
53.4 % |
51 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1023.66 |
52.9 % |
50.5 % |
Vera BRIONGOS MARTÍN |
FEXME |
1020.29 |
52.4 % |
50 % |
Mar CARREÑO ESCOBAR |
FADMES |
1016.93 |
51.9 % |
49.5 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1013.56 |
51.5 % |
49 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1010.19 |
51 % |
48.5 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1006.82 |
50.5 % |
48.1 % |
Candela GARCIA VALLINA |
FEMPA |
1003.45 |
50 % |
47.6 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
1000.08 |
49.5 % |
47.1 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
996.72 |
49 % |
46.6 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
993.35 |
48.5 % |
46.1 % |
Marina PABLO LASSA |
FAM |
989.98 |
48.1 % |
45.6 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
986.61 |
47.6 % |
45.2 % |
Nerea PÉREZ PEREA |
FMM |
983.24 |
47.1 % |
44.7 % |
Jordana PEREZ GRANELL |
FEMECV |
979.87 |
46.6 % |
44.2 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Elena CARAMES GONZALEZ |
FEMPA |
973.14 |
45.6 % |
43.3 % |
Samara FERRAGUT MARTINEZ |
FBME |
969.77 |
45.2 % |
42.8 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Elo June-First - Abs
-Competitors = 16-
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1000 |
1 |
1030.00 |
54.9 % |
51.8 % |
Aida TORRES ILLAMOLA |
FEEC |
1000 |
2 |
1025.73 |
54.3 % |
51.2 % |
Rut MONSECH GASCA |
FEEC |
1000 |
3 |
1021.47 |
53.7 % |
50.6 % |
Rebeca PEREZ DUATO |
FAM |
1000 |
4 |
1017.20 |
53.1 % |
50 % |
Nora STAURSET HOVDE |
FEMECV |
1000 |
5 |
1012.93 |
52.5 % |
49.4 % |
Maria BENACH ZUBERO |
FEEC |
1000 |
6 |
1008.67 |
51.8 % |
48.8 % |
Maria PAREDES RAMOS |
FEXME |
1000 |
7 |
1004.40 |
51.2 % |
48.2 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1000 |
8 |
1000.13 |
50.6 % |
47.5 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
1000 |
9 |
995.87 |
50 % |
46.9 % |
Miriam DIEZ LUENGO |
FMM |
1000 |
10 |
991.60 |
49.4 % |
46.3 % |
Antia FREITAS RIAL |
FEXME |
1000 |
11 |
987.33 |
48.8 % |
45.7 % |
Haizea OSES SAIZ |
EMF-FVM |
1000 |
12 |
983.07 |
48.2 % |
45.1 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
1000 |
13 |
978.80 |
47.5 % |
44.5 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
1000 |
14 |
974.53 |
46.9 % |
43.9 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
1000 |
15 |
970.27 |
46.3 % |
43.3 % |
Laura VERDASCO URIZAL |
FMM |
1000 |
15 |
970.27 |
46.3 % |
43.3 % |
_* Elo History *_
Elo Accumulated June-First_Abs_2022
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1030.40 |
53.9 % |
51.5 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1030.00 |
54.9 % |
51.8 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1027.03 |
53.4 % |
51 % |
Aida TORRES ILLAMOLA |
FEEC |
1025.73 |
54.3 % |
51.2 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1023.66 |
52.9 % |
50.5 % |
Rut MONSECH GASCA |
FEEC |
1021.47 |
53.7 % |
50.6 % |
Vera BRIONGOS MARTÍN |
FEXME |
1020.29 |
52.4 % |
50 % |
Rebeca PEREZ DUATO |
FAM |
1017.20 |
53.1 % |
50 % |
Mar CARREÑO ESCOBAR |
FADMES |
1016.93 |
51.9 % |
49.5 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1013.56 |
51.5 % |
49 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1010.19 |
51 % |
48.5 % |
Maria BENACH ZUBERO |
FEEC |
1008.67 |
51.8 % |
48.8 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1006.82 |
50.5 % |
48.1 % |
Maria PAREDES RAMOS |
FEXME |
1004.40 |
51.2 % |
48.2 % |
Candela GARCIA VALLINA |
FEMPA |
1003.45 |
50 % |
47.6 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1000.13 |
50.6 % |
47.5 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
1000.08 |
49.5 % |
47.1 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
996.72 |
49 % |
46.6 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
995.87 |
50 % |
46.9 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
993.35 |
48.5 % |
46.1 % |
Miriam DIEZ LUENGO |
FMM |
991.60 |
49.4 % |
46.3 % |
Marina PABLO LASSA |
FAM |
989.98 |
48.1 % |
45.6 % |
Antia FREITAS RIAL |
FEXME |
987.33 |
48.8 % |
45.7 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
986.61 |
47.6 % |
45.2 % |
Nerea PÉREZ PEREA |
FMM |
983.24 |
47.1 % |
44.7 % |
Haizea OSES SAIZ |
EMF-FVM |
983.07 |
48.2 % |
45.1 % |
Jordana PEREZ GRANELL |
FEMECV |
979.87 |
46.6 % |
44.2 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
978.80 |
47.5 % |
44.5 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
974.53 |
46.9 % |
43.9 % |
Elena CARAMES GONZALEZ |
FEMPA |
973.14 |
45.6 % |
43.3 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
970.27 |
46.3 % |
43.3 % |
Laura VERDASCO URIZAL |
FMM |
970.27 |
46.3 % |
43.3 % |
Samara FERRAGUT MARTINEZ |
FBME |
969.77 |
45.2 % |
42.8 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Elo June-Second
-Competitors = 16-
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1030.40 |
1 |
1060.25 |
59 % |
54 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1006.82 |
2 |
1032.54 |
55.1 % |
50 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1027.03 |
3 |
1048.37 |
57.4 % |
52.3 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1023.66 |
4 |
1040.75 |
56.3 % |
51.2 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
993.35 |
5 |
1006.35 |
51.4 % |
46.2 % |
Vera BRIONGOS MARTÍN |
FEXME |
1020.29 |
6 |
1028.87 |
54.6 % |
49.5 % |
Mar CARREÑO ESCOBAR |
FADMES |
1016.93 |
7 |
1021.26 |
53.5 % |
48.4 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
996.72 |
8 |
996.90 |
50 % |
44.9 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1010.19 |
9 |
1006.03 |
51.3 % |
46.2 % |
Jordana PEREZ GRANELL |
FEMECV |
979.87 |
10 |
971.62 |
46.4 % |
41.3 % |
Candela GARCIA VALLINA |
FEMPA |
1003.45 |
11 |
990.79 |
49.1 % |
44 % |
Nerea PÉREZ PEREA |
FMM |
983.24 |
12 |
966.43 |
45.6 % |
40.6 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1013.56 |
13 |
992.31 |
49.3 % |
44.2 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
986.61 |
13 |
965.52 |
45.5 % |
40.5 % |
Marina PABLO LASSA |
FAM |
989.98 |
15 |
960.33 |
44.8 % |
39.8 % |
Samara FERRAGUT MARTINEZ |
FBME |
969.77 |
15 |
940.24 |
41.9 % |
37 % |
#####_ Elo History _
Elo Accumulated June_Second-2023
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1060.25 |
59 % |
54 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1048.37 |
57.4 % |
52.3 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1040.75 |
56.3 % |
51.2 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1032.54 |
55.1 % |
50 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1030.00 |
54.9 % |
51.8 % |
Vera BRIONGOS MARTÍN |
FEXME |
1028.87 |
54.6 % |
49.5 % |
Aida TORRES ILLAMOLA |
FEEC |
1025.73 |
54.3 % |
51.2 % |
Rut MONSECH GASCA |
FEEC |
1021.47 |
53.7 % |
50.6 % |
Mar CARREÑO ESCOBAR |
FADMES |
1021.26 |
53.5 % |
48.4 % |
Rebeca PEREZ DUATO |
FAM |
1017.20 |
53.1 % |
50 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Maria BENACH ZUBERO |
FEEC |
1008.67 |
51.8 % |
48.8 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
1006.35 |
51.4 % |
46.2 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1006.03 |
51.3 % |
46.2 % |
Maria PAREDES RAMOS |
FEXME |
1004.40 |
51.2 % |
48.2 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1000.13 |
50.6 % |
47.5 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
1000.08 |
49.5 % |
47.1 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
996.90 |
50 % |
44.9 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
995.87 |
50 % |
46.9 % |
Aitana NAVARIDAS MARTIN |
FNDME |
992.31 |
49.3 % |
44.2 % |
Miriam DIEZ LUENGO |
FMM |
991.60 |
49.4 % |
46.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Antia FREITAS RIAL |
FEXME |
987.33 |
48.8 % |
45.7 % |
Haizea OSES SAIZ |
EMF-FVM |
983.07 |
48.2 % |
45.1 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
978.80 |
47.5 % |
44.5 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
974.53 |
46.9 % |
43.9 % |
Elena CARAMES GONZALEZ |
FEMPA |
973.14 |
45.6 % |
43.3 % |
Jordana PEREZ GRANELL |
FEMECV |
971.62 |
46.4 % |
41.3 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
970.27 |
46.3 % |
43.3 % |
Laura VERDASCO URIZAL |
FMM |
970.27 |
46.3 % |
43.3 % |
Nerea PÉREZ PEREA |
FMM |
966.43 |
45.6 % |
40.6 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Marina PABLO LASSA |
FAM |
960.33 |
44.8 % |
39.8 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Elo June-Second-Abss
Rebeca PEREZ DUATO |
FAM |
1017.20 |
1 |
1046.80 |
57.8 % |
53.2 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1030.00 |
2 |
1056.15 |
59.1 % |
54.5 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1000.13 |
3 |
1023.11 |
54.5 % |
49.7 % |
Miriam DIEZ LUENGO |
FMM |
991.60 |
4 |
1011.26 |
52.8 % |
48 % |
Maria BENACH ZUBERO |
FEEC |
1008.67 |
5 |
1024.85 |
54.7 % |
50 % |
Antia FREITAS RIAL |
FEXME |
987.33 |
6 |
1000.29 |
51.2 % |
46.5 % |
Rut MONSECH GASCA |
FEEC |
1021.47 |
7 |
1030.83 |
55.6 % |
50.9 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
974.53 |
8 |
980.83 |
48.4 % |
43.7 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
1000.00 |
9 |
1003.45 |
51.7 % |
46.9 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
1000.00 |
10 |
1000.08 |
51.2 % |
46.4 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
995.87 |
11 |
991.93 |
50 % |
45.3 % |
Maria PAREDES RAMOS |
FEXME |
1004.40 |
12 |
997.03 |
50.7 % |
46 % |
Haizea OSES SAIZ |
EMF-FVM |
983.07 |
13 |
972.47 |
47.2 % |
42.5 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
978.80 |
14 |
964.86 |
46.1 % |
41.5 % |
Laura VERDASCO URIZAL |
FMM |
970.27 |
15 |
953.02 |
44.4 % |
39.8 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
1000.00 |
16 |
979.87 |
48.3 % |
43.6 % |
Cristina JARDON SUAREZ |
FEMPA |
1000.00 |
17 |
976.51 |
47.8 % |
43.1 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
970.27 |
18 |
942.92 |
43 % |
38.4 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
1000.00 |
18 |
973.14 |
47.3 % |
42.6 % |
Silvia FAYOS LOZADA |
FEMECV |
1000.00 |
18 |
973.14 |
47.3 % |
42.6 % |
#####_ Elo History _
Elo Accumulated June_Second-Abs 2022
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1060.25 |
59 % |
54 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1056.15 |
59.1 % |
54.5 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1048.37 |
57.4 % |
52.3 % |
Rebeca PEREZ DUATO |
FAM |
1046.80 |
57.8 % |
53.2 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1040.75 |
56.3 % |
51.2 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1032.54 |
55.1 % |
50 % |
Rut MONSECH GASCA |
FEEC |
1030.83 |
55.6 % |
50.9 % |
Vera BRIONGOS MARTÍN |
FEXME |
1028.87 |
54.6 % |
49.5 % |
Aida TORRES ILLAMOLA |
FEEC |
1025.73 |
54.3 % |
51.2 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1023.11 |
54.5 % |
49.7 % |
Mar CARREÑO ESCOBAR |
FADMES |
1021.26 |
53.5 % |
48.4 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Miriam DIEZ LUENGO |
FMM |
1011.26 |
52.8 % |
48 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
1006.35 |
51.4 % |
46.2 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1006.03 |
51.3 % |
46.2 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
1003.45 |
51.7 % |
46.9 % |
Antia FREITAS RIAL |
FEXME |
1000.29 |
51.2 % |
46.5 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
1000.08 |
49.5 % |
47.1 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
1000.08 |
51.2 % |
46.4 % |
Maria PAREDES RAMOS |
FEXME |
997.03 |
50.7 % |
46 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
996.90 |
50 % |
44.9 % |
Aitana NAVARIDAS MARTIN |
FNDME |
992.31 |
49.3 % |
44.2 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
980.83 |
48.4 % |
43.7 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
979.87 |
48.3 % |
43.6 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
973.14 |
47.3 % |
42.6 % |
Elena CARAMES GONZALEZ |
FEMPA |
973.14 |
45.6 % |
43.3 % |
Silvia FAYOS LOZADA |
FEMECV |
973.14 |
47.3 % |
42.6 % |
Haizea OSES SAIZ |
EMF-FVM |
972.47 |
47.2 % |
42.5 % |
Jordana PEREZ GRANELL |
FEMECV |
971.62 |
46.4 % |
41.3 % |
Nerea PÉREZ PEREA |
FMM |
966.43 |
45.6 % |
40.6 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
964.86 |
46.1 % |
41.5 % |
Marina PABLO LASSA |
FAM |
960.33 |
44.8 % |
39.8 % |
Laura VERDASCO URIZAL |
FMM |
953.02 |
44.4 % |
39.8 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
942.92 |
43 % |
38.4 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Elo Nov-2022
-Competitors = 16-
Ainhize BELAR BARRUTIA |
EMF-FVM |
1032.54 |
1 |
1062.21 |
58.8 % |
51 % |
Vera BRIONGOS MARTÍN |
FEXME |
1028.87 |
2 |
1055.00 |
57.8 % |
50 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1048.37 |
3 |
1070.83 |
60 % |
52.3 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1060.25 |
4 |
1079.08 |
61.1 % |
53.5 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
996.90 |
5 |
1012.56 |
51.8 % |
43.9 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1040.75 |
6 |
1052.59 |
57.5 % |
49.7 % |
Aitana NAVARIDAS MARTIN |
FNDME |
992.31 |
7 |
1000.89 |
50.1 % |
42.3 % |
Rocío LEAL ABAD |
FMRM |
1000.00 |
8 |
1005.43 |
50.7 % |
42.9 % |
Marina PABLO LASSA |
FAM |
960.33 |
9 |
961.99 |
44.5 % |
36.9 % |
Mar CARREÑO ESCOBAR |
FADMES |
1021.26 |
10 |
1019.00 |
52.7 % |
44.8 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1006.03 |
11 |
1000.30 |
50 % |
42.2 % |
Nerea PÉREZ PEREA |
FMM |
966.43 |
11 |
960.95 |
44.4 % |
36.8 % |
Julia PACHECO PORRAS |
FDMCM |
1000.00 |
11 |
994.76 |
49.2 % |
41.4 % |
Jordana PEREZ GRANELL |
FEMECV |
971.62 |
14 |
955.44 |
43.6 % |
36.1 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
1000.08 |
15 |
980.17 |
47.1 % |
39.4 % |
Elena CARAMES GONZALEZ |
FEMPA |
973.14 |
16 |
949.84 |
42.8 % |
35.3 % |
Mariana SOUSA |
FCMP |
1000.00 |
17 |
973.43 |
46.1 % |
38.5 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
1006.35 |
18 |
975.73 |
46.5 % |
38.8 % |
Ana MARTINEZ BELDA |
FMRM |
1000.00 |
18 |
969.87 |
45.6 % |
38 % |
#####_ Elo History _
Elo Accumulated June_Second-2023
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1079.08 |
61.1 % |
53.5 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1070.83 |
60 % |
52.3 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1062.21 |
58.8 % |
51 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1056.15 |
59.1 % |
54.5 % |
Vera BRIONGOS MARTÍN |
FEXME |
1055.00 |
57.8 % |
50 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1052.59 |
57.5 % |
49.7 % |
Rebeca PEREZ DUATO |
FAM |
1046.80 |
57.8 % |
53.2 % |
Rut MONSECH GASCA |
FEEC |
1030.83 |
55.6 % |
50.9 % |
Aida TORRES ILLAMOLA |
FEEC |
1025.73 |
54.3 % |
51.2 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1023.11 |
54.5 % |
49.7 % |
Mar CARREÑO ESCOBAR |
FADMES |
1019.00 |
52.7 % |
44.8 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
1012.56 |
51.8 % |
43.9 % |
Miriam DIEZ LUENGO |
FMM |
1011.26 |
52.8 % |
48 % |
Rocío LEAL ABAD |
FMRM |
1005.43 |
50.7 % |
42.9 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
1003.45 |
51.7 % |
46.9 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1000.30 |
50 % |
42.2 % |
Antia FREITAS RIAL |
FEXME |
1000.29 |
51.2 % |
46.5 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
1000.08 |
51.2 % |
46.4 % |
Maria PAREDES RAMOS |
FEXME |
997.03 |
50.7 % |
46 % |
Julia PACHECO PORRAS |
FDMCM |
994.76 |
49.2 % |
41.4 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
980.83 |
48.4 % |
43.7 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
980.17 |
47.1 % |
39.4 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
979.87 |
48.3 % |
43.6 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
975.73 |
46.5 % |
38.8 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
973.14 |
47.3 % |
42.6 % |
Silvia FAYOS LOZADA |
FEMECV |
973.14 |
47.3 % |
42.6 % |
Haizea OSES SAIZ |
EMF-FVM |
972.47 |
47.2 % |
42.5 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
964.86 |
46.1 % |
41.5 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Nerea PÉREZ PEREA |
FMM |
960.95 |
44.4 % |
36.8 % |
Jordana PEREZ GRANELL |
FEMECV |
955.44 |
43.6 % |
36.1 % |
Laura VERDASCO URIZAL |
FMM |
953.02 |
44.4 % |
39.8 % |
Elena CARAMES GONZALEZ |
FEMPA |
949.84 |
42.8 % |
35.3 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
942.92 |
43 % |
38.4 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Elo Nov - Abs
-Competitors = 19-
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1023.11 |
1 |
1052.98 |
57.8 % |
49.7 % |
Aida TORRES ILLAMOLA |
FEEC |
1025.73 |
2 |
1052.03 |
57.6 % |
49.5 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1056.15 |
3 |
1078.72 |
61.3 % |
53.4 % |
Rebeca PEREZ DUATO |
FAM |
1046.80 |
4 |
1065.87 |
59.6 % |
51.5 % |
Lucia MIRANDA CID |
FEEC |
1000.00 |
5 |
1016.09 |
52.5 % |
44.4 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1000.00 |
6 |
1012.54 |
52 % |
43.9 % |
Miriam DIEZ LUENGO |
FMM |
1011.26 |
7 |
1019.86 |
53.1 % |
44.9 % |
Silvia FAYOS LOZADA |
FEMECV |
973.14 |
8 |
978.41 |
47.1 % |
39.1 % |
Maria PAREDES RAMOS |
FEXME |
997.03 |
9 |
998.60 |
50 % |
41.9 % |
Antia FREITAS RIAL |
FEXME |
1000.29 |
10 |
998.29 |
50 % |
41.9 % |
Rut MONSECH GASCA |
FEEC |
1030.83 |
11 |
1025.10 |
53.8 % |
45.7 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1070.83 |
12 |
1061.32 |
58.9 % |
50.9 % |
Haizea OSES SAIZ |
EMF-FVM |
972.47 |
13 |
959.96 |
44.5 % |
36.6 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
964.86 |
14 |
948.84 |
42.9 % |
35.1 % |
Paula TRAVERSO LEBRON |
FEXME |
1000.00 |
14 |
984.09 |
47.9 % |
39.9 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1079.08 |
16 |
1055.30 |
58.1 % |
50 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
979.87 |
17 |
953.10 |
43.5 % |
35.7 % |
Laura VERDASCO URIZAL |
FMM |
953.02 |
17 |
926.40 |
39.8 % |
32.3 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
980.83 |
17 |
954.05 |
43.6 % |
35.8 % |
_* Elo History *_
Elo Accumulated June-First_Abs_2022
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1078.72 |
61.3 % |
53.4 % |
Rebeca PEREZ DUATO |
FAM |
1065.87 |
59.6 % |
51.5 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1062.21 |
58.8 % |
51 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1061.32 |
58.9 % |
50.9 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1055.30 |
58.1 % |
50 % |
Vera BRIONGOS MARTÍN |
FEXME |
1055.00 |
57.8 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1052.98 |
57.8 % |
49.7 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1052.59 |
57.5 % |
49.7 % |
Aida TORRES ILLAMOLA |
FEEC |
1052.03 |
57.6 % |
49.5 % |
Rut MONSECH GASCA |
FEEC |
1025.10 |
53.8 % |
45.7 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Miriam DIEZ LUENGO |
FMM |
1019.86 |
53.1 % |
44.9 % |
Mar CARREÑO ESCOBAR |
FADMES |
1019.00 |
52.7 % |
44.8 % |
Lucia MIRANDA CID |
FEEC |
1016.09 |
52.5 % |
44.4 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
1012.56 |
51.8 % |
43.9 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1012.54 |
52 % |
43.9 % |
Rocío LEAL ABAD |
FMRM |
1005.43 |
50.7 % |
42.9 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
1003.45 |
51.7 % |
46.9 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1000.30 |
50 % |
42.2 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
1000.08 |
51.2 % |
46.4 % |
Maria PAREDES RAMOS |
FEXME |
998.60 |
50 % |
41.9 % |
Antia FREITAS RIAL |
FEXME |
998.29 |
50 % |
41.9 % |
Julia PACHECO PORRAS |
FDMCM |
994.76 |
49.2 % |
41.4 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Paula TRAVERSO LEBRON |
FEXME |
984.09 |
47.9 % |
39.9 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
980.17 |
47.1 % |
39.4 % |
Silvia FAYOS LOZADA |
FEMECV |
978.41 |
47.1 % |
39.1 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
975.73 |
46.5 % |
38.8 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
973.14 |
47.3 % |
42.6 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Nerea PÉREZ PEREA |
FMM |
960.95 |
44.4 % |
36.8 % |
Haizea OSES SAIZ |
EMF-FVM |
959.96 |
44.5 % |
36.6 % |
Jordana PEREZ GRANELL |
FEMECV |
955.44 |
43.6 % |
36.1 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
954.05 |
43.6 % |
35.8 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Elena CARAMES GONZALEZ |
FEMPA |
949.84 |
42.8 % |
35.3 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
948.84 |
42.9 % |
35.1 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
942.92 |
43 % |
38.4 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
MERGING from sub16
Geila MACIÀ MARTÍN |
FEEC |
1000 |
1 |
1030.77 |
52.9 % |
51.1 % |
Júlia BENACH ZUBERO |
FEEC |
1000 |
2 |
1028.21 |
52.6 % |
50.7 % |
Emily Charlotte PESCETTO |
FEEC |
1000 |
3 |
1025.65 |
52.2 % |
50.4 % |
Laia TAULATS MCDONALD |
FAM-AND |
1000 |
4 |
1023.09 |
51.8 % |
50 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1000 |
5 |
1020.53 |
51.5 % |
49.6 % |
Maria FERRÉ PRIM |
FEEC |
1000 |
6 |
1017.97 |
51.1 % |
49.3 % |
Erika CARRASCO AGUILA |
FMM |
1000 |
7 |
1015.41 |
50.7 % |
48.9 % |
Nathalie Joanna VENDSALU |
FEMECV |
1000 |
7 |
1015.41 |
50.7 % |
48.9 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1000 |
9 |
1010.29 |
50 % |
48.2 % |
India PERSSON FERNÁNDEZ |
FADMES |
1000 |
10 |
1007.73 |
49.6 % |
47.8 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1000 |
11 |
1005.17 |
49.3 % |
47.4 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1000 |
12 |
1002.61 |
48.9 % |
47.1 % |
Maite VILA LÓPEZ |
FEXME |
1000 |
13 |
1000.05 |
48.5 % |
46.7 % |
Martina MUÑIZ VALENCIA |
FMM |
1000 |
14 |
997.49 |
48.2 % |
46.3 % |
Amaya DEL POZO CARIION |
FMM |
1000 |
15 |
994.93 |
47.8 % |
46 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCM |
1000 |
16 |
992.37 |
47.4 % |
45.6 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
1000 |
17 |
989.81 |
47.1 % |
45.2 % |
Maria SANTOS GONZÁLEZ |
FEXME |
1000 |
18 |
987.25 |
46.7 % |
44.9 % |
Paula HUERGO MIYAR |
FEMPA |
1000 |
19 |
984.69 |
46.3 % |
44.5 % |
Ayla RUBIO GARCIA |
FMM |
1000 |
20 |
982.13 |
46 % |
44.1 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
1000 |
21 |
979.57 |
45.6 % |
43.8 % |
Aitana GARCÍA BERNABEU |
FEMECV |
1000 |
22 |
977.01 |
45.2 % |
43.4 % |
Lucia LORES REY |
FEGAMON |
1000 |
23 |
974.45 |
44.9 % |
43 % |
Alba MARTÍNEZ LLARÍA |
FMM |
1000 |
24 |
971.89 |
44.5 % |
42.7 % |
Cristina CHAMON GARCÍA |
FDMCM |
1000 |
25 |
969.33 |
44.1 % |
42.3 % |
Alejandra MARTÍN GARCÍA |
FDMCM |
1000 |
26 |
966.77 |
43.8 % |
42 % |
Geila MACIÀ MARTÍN |
FEEC |
1030.77 |
1 |
1061.61 |
56.1 % |
52.7 % |
Júlia BENACH ZUBERO |
FEEC |
1028.21 |
2 |
1056.85 |
55.4 % |
52.1 % |
Nathalie Joanna VENDSALU |
FEMECV |
1015.41 |
3 |
1041.88 |
53.3 % |
49.9 % |
Emily Charlotte PESCETTO |
FEEC |
1025.65 |
4 |
1049.88 |
54.4 % |
51.1 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1020.53 |
5 |
1042.57 |
53.4 % |
50 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1002.61 |
6 |
1022.50 |
50.5 % |
47.1 % |
Erika CARRASCO AGUILA |
FMM |
1015.41 |
7 |
1033.05 |
52 % |
48.6 % |
Laia TAULATS MCDONALD |
FAM-AND |
1023.09 |
7 |
1040.71 |
53.1 % |
49.7 % |
Martina MUÑIZ VALENCIA |
FMM |
997.49 |
9 |
1010.78 |
48.8 % |
45.4 % |
India PERSSON FERNÁNDEZ |
FADMES |
1007.73 |
10 |
1018.78 |
50 % |
46.6 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1010.29 |
11 |
1019.12 |
50 % |
46.6 % |
Maite VILA LÓPEZ |
FEXME |
1000.05 |
12 |
1006.71 |
48.2 % |
44.9 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCM |
992.37 |
13 |
996.84 |
46.8 % |
43.5 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1005.17 |
14 |
1007.40 |
48.3 % |
45 % |
Aitana GARCÍA BERNABEU |
FEMECV |
977.01 |
15 |
977.12 |
44 % |
40.7 % |
Alba MARTÍNEZ LLARÍA |
FMM |
971.89 |
16 |
969.81 |
43 % |
39.7 % |
Alejandra MARTÍN GARCÍA |
FDMCM |
966.77 |
17 |
962.49 |
41.9 % |
38.7 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
989.81 |
18 |
983.26 |
44.9 % |
41.5 % |
Amaya DEL POZO CARRION |
FMM |
1000.00 |
19 |
991.21 |
46 % |
42.7 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
979.57 |
20 |
968.63 |
42.8 % |
39.5 % |
Lucia LORES REY |
FEGAMON |
974.45 |
21 |
961.32 |
41.8 % |
38.5 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
1000.00 |
22 |
984.59 |
45 % |
41.7 % |
Lara PRIDA SEOANE |
FEGAMON |
1000.00 |
23 |
982.38 |
44.7 % |
41.4 % |
Sara GUERRERO RODRÍGUEZ |
FDMESCyL |
1000.00 |
24 |
980.17 |
44.4 % |
41.1 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
1000.00 |
25 |
977.97 |
44.1 % |
40.8 % |
Maria SANTOS GONZÁLEZ |
FEXME |
987.25 |
26 |
963.05 |
42 % |
38.8 % |
Paula HUERGO MIYAR |
FEMPA |
984.69 |
26 |
960.50 |
41.6 % |
38.4 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
1000.00 |
26 |
975.76 |
43.8 % |
40.5 % |
Lucía SÁNCHEZ SANTAMARÍA |
FDMESCyL |
1000.00 |
26 |
975.76 |
43.8 % |
40.5 % |
Raquel GEIJO RODRÍGUEZ |
FDMESCyL |
1000.00 |
26 |
975.76 |
43.8 % |
40.5 % |
Geila MACIÀ MARTÍN |
FEEC |
1061.61 |
1 |
1091.93 |
59.1 % |
54.1 % |
Júlia BENACH ZUBERO |
FEEC |
1056.85 |
2 |
1084.52 |
58.1 % |
53.1 % |
Emily Charlotte PESCETTO |
FEEC |
1049.88 |
3 |
1074.92 |
56.7 % |
51.7 % |
Laia TAULATS MCDONALD |
FAM-AND |
1040.71 |
4 |
1063.12 |
55 % |
50 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1042.57 |
5 |
1062.30 |
54.9 % |
49.9 % |
Nathalie Joanna VENDSALU |
FEMECV |
1041.88 |
6 |
1058.95 |
54.4 % |
49.4 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCM |
996.84 |
7 |
1011.43 |
47.6 % |
42.6 % |
Maria FERRÉ PRIM |
FEEC |
1017.97 |
8 |
1029.80 |
50.3 % |
45.2 % |
India PERSSON FERNÁNDEZ |
FADMES |
1018.78 |
9 |
1027.94 |
50 % |
45 % |
Erika CARRASCO AGUILA |
FMM |
1033.05 |
10 |
1039.49 |
51.7 % |
46.6 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1007.40 |
11 |
1011.28 |
47.6 % |
42.6 % |
Martina MUÑIZ VALENCIA |
FMM |
1010.78 |
12 |
1011.98 |
47.7 % |
42.7 % |
Maite VILA LÓPEZ |
FEXME |
1006.71 |
13 |
1005.26 |
46.7 % |
41.7 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1022.50 |
14 |
1018.32 |
48.6 % |
43.6 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1019.12 |
14 |
1014.95 |
48.1 % |
43.1 % |
Paula HUERGO MIYAR |
FEMPA |
960.50 |
14 |
956.57 |
39.9 % |
35.1 % |
Sofía PEÑA PÉREZ |
FMM |
1000.00 |
14 |
996.08 |
45.4 % |
40.5 % |
Maria SANTOS GONZÁLEZ |
FEXME |
963.05 |
18 |
948.45 |
38.8 % |
34.1 % |
Meia LEÓN VILCHES |
FEXME |
1000.00 |
19 |
982.75 |
43.5 % |
38.6 % |
Alba MARTÍNEZ LLARÍA |
FMM |
969.81 |
20 |
949.85 |
38.9 % |
34.3 % |
Alejandra MARTÍN GARCÍA |
FDMCM |
962.49 |
20 |
942.56 |
38 % |
33.3 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
983.26 |
20 |
963.24 |
40.8 % |
36 % |
Lara PRIDA SEOANE |
FEGAMON |
982.38 |
20 |
962.36 |
40.7 % |
35.9 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
1000.00 |
20 |
980.08 |
43.2 % |
38.3 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
984.59 |
25 |
951.23 |
39.1 % |
34.4 % |
Elo 2023 March
-Competitors = r
-
[1] 7
[1] 2
Intza ELIZALDE LARRARTE |
EMF-FVM |
1018.32 |
1 |
1048.76 |
68.5 % |
58.4 % |
Laia TAULATS MCDONALD |
FAM-AND |
1063.12 |
2 |
1090.18 |
73.4 % |
64 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1061.32 |
3 |
1081.46 |
72.4 % |
62.8 % |
Mar CARREÑO ESCOBAR |
FADMES |
1019.00 |
4 |
1036.49 |
67 % |
56.6 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
963.24 |
5 |
981.11 |
59.6 % |
48.7 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1000.00 |
6 |
1014.52 |
64.1 % |
53.5 % |
Nerea PÉREZ PEREA |
FMM |
960.95 |
7 |
969.60 |
58 % |
47 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1011.28 |
8 |
1019.35 |
64.7 % |
54.2 % |
India PERSSON FERNÁNDEZ |
FADMES |
1027.94 |
9 |
1032.74 |
66.5 % |
56.1 % |
Irati ASO ESAIN |
FNDME |
1000.00 |
10 |
1001.72 |
62.4 % |
51.7 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1000.30 |
11 |
995.63 |
61.6 % |
50.8 % |
Julia PACHECO PORRAS |
FDMCM |
994.76 |
11 |
990.17 |
60.8 % |
50 % |
Alba MARTÍNEZ LLARÍA |
FMM |
949.85 |
13 |
942.18 |
54.1 % |
43.1 % |
Maria SANTOS GONZÁLEZ |
FEXME |
948.45 |
14 |
937.58 |
53.4 % |
42.5 % |
Sofía PEÑA PÉREZ |
FMM |
996.08 |
15 |
981.81 |
59.7 % |
48.8 % |
Amaya DEL POZO CARRION |
FMM |
991.21 |
16 |
973.76 |
58.5 % |
47.6 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
968.63 |
16 |
951.28 |
55.4 % |
44.4 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
980.17 |
18 |
953.37 |
55.7 % |
44.7 % |
Lucia LORES REY |
FEGAMON |
961.32 |
18 |
937.60 |
53.4 % |
42.5 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
951.23 |
20 |
921.15 |
51.1 % |
40.2 % |
Elena CARAMES GONZALEZ |
FEMPA |
949.84 |
21 |
913.83 |
50 % |
39.2 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
975.76 |
22 |
939.18 |
53.6 % |
42.7 % |
#####_ Elo History _
Elo Accumulated March_2023
Laia TAULATS MCDONALD |
FAM-AND |
1090.18 |
73.4 % |
64 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1081.46 |
72.4 % |
62.8 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1078.72 |
61.3 % |
53.4 % |
Rebeca PEREZ DUATO |
FAM |
1065.87 |
59.6 % |
51.5 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1062.21 |
58.8 % |
51 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1055.30 |
58.1 % |
50 % |
Vera BRIONGOS MARTÍN |
FEXME |
1055.00 |
57.8 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1052.98 |
57.8 % |
49.7 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1052.59 |
57.5 % |
49.7 % |
Aida TORRES ILLAMOLA |
FEEC |
1052.03 |
57.6 % |
49.5 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1048.76 |
68.5 % |
58.4 % |
Mar CARREÑO ESCOBAR |
FADMES |
1036.49 |
67 % |
56.6 % |
India PERSSON FERNÁNDEZ |
FADMES |
1032.74 |
66.5 % |
56.1 % |
Rut MONSECH GASCA |
FEEC |
1025.10 |
53.8 % |
45.7 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Miriam DIEZ LUENGO |
FMM |
1019.86 |
53.1 % |
44.9 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1019.35 |
64.7 % |
54.2 % |
Lucia MIRANDA CID |
FEEC |
1016.09 |
52.5 % |
44.4 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1014.52 |
64.1 % |
53.5 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
1012.56 |
51.8 % |
43.9 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1012.54 |
52 % |
43.9 % |
Rocío LEAL ABAD |
FMRM |
1005.43 |
50.7 % |
42.9 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
1003.45 |
51.7 % |
46.9 % |
Irati ASO ESAIN |
FNDME |
1001.72 |
62.4 % |
51.7 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
1000.08 |
51.2 % |
46.4 % |
Maria PAREDES RAMOS |
FEXME |
998.60 |
50 % |
41.9 % |
Antia FREITAS RIAL |
FEXME |
998.29 |
50 % |
41.9 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
995.63 |
61.6 % |
50.8 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Paula TRAVERSO LEBRON |
FEXME |
984.09 |
47.9 % |
39.9 % |
Sofía PEÑA PÉREZ |
FMM |
981.81 |
59.7 % |
48.8 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
981.11 |
59.6 % |
48.7 % |
Silvia FAYOS LOZADA |
FEMECV |
978.41 |
47.1 % |
39.1 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
975.73 |
46.5 % |
38.8 % |
Amaya DEL POZO CARRION |
FMM |
973.76 |
58.5 % |
47.6 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
973.14 |
47.3 % |
42.6 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Nerea PÉREZ PEREA |
FMM |
969.60 |
58 % |
47 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Haizea OSES SAIZ |
EMF-FVM |
959.96 |
44.5 % |
36.6 % |
Jordana PEREZ GRANELL |
FEMECV |
955.44 |
43.6 % |
36.1 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
954.05 |
43.6 % |
35.8 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
953.37 |
55.7 % |
44.7 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
951.28 |
55.4 % |
44.4 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
948.84 |
42.9 % |
35.1 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
942.92 |
43 % |
38.4 % |
Alba MARTÍNEZ LLARÍA |
FMM |
942.18 |
54.1 % |
43.1 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Lucia LORES REY |
FEGAMON |
937.60 |
53.4 % |
42.5 % |
Maria SANTOS GONZÁLEZ |
FEXME |
937.58 |
53.4 % |
42.5 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
921.15 |
51.1 % |
40.2 % |
Elena CARAMES GONZALEZ |
FEMPA |
913.83 |
50 % |
39.2 % |
Elo March-Abs 2023
-Competitors = r
-
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1078.72 |
1 |
1108.96 |
58.6 % |
54.2 % |
Aida TORRES ILLAMOLA |
FEEC |
1052.03 |
2 |
1079.71 |
54.5 % |
50 % |
Rut MONSECH GASCA |
FEEC |
1025.10 |
3 |
1050.22 |
50.3 % |
45.8 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1062.21 |
4 |
1084.51 |
55.2 % |
50.7 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1052.98 |
5 |
1072.65 |
53.5 % |
49 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1012.54 |
6 |
1029.71 |
47.3 % |
42.9 % |
Lucia MIRANDA CID |
FEEC |
1016.09 |
7 |
1030.58 |
47.5 % |
43 % |
Vera BRIONGOS MARTÍN |
FEXME |
1055.00 |
8 |
1066.66 |
52.6 % |
48.1 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
1000.08 |
9 |
1009.31 |
44.4 % |
40 % |
Antia FREITAS RIAL |
FEXME |
998.29 |
10 |
1004.86 |
43.8 % |
39.4 % |
Irati ZABALA MUXIKA |
EMF-FVM |
1000.00 |
11 |
1004.07 |
43.7 % |
39.3 % |
Laia TAULATS MCDONALD |
FAM-AND |
1090.18 |
12 |
1091.04 |
56.1 % |
51.6 % |
Paula TRAVERSO LEBRON |
FEXME |
984.09 |
13 |
982.72 |
40.7 % |
36.4 % |
Maria PAREDES RAMOS |
FEXME |
998.60 |
14 |
994.50 |
42.3 % |
38 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1055.30 |
15 |
1048.30 |
50 % |
45.5 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
1003.45 |
16 |
994.00 |
42.2 % |
37.9 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1081.46 |
17 |
1069.02 |
53 % |
48.5 % |
Haizea OSES SAIZ |
EMF-FVM |
959.96 |
18 |
945.35 |
35.6 % |
31.6 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1052.59 |
19 |
1034.93 |
48.1 % |
43.6 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
954.05 |
20 |
934.13 |
34.1 % |
30.2 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
948.84 |
21 |
926.28 |
33.1 % |
29.3 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
973.14 |
21 |
950.48 |
36.3 % |
32.2 % |
Silvia FAYOS LOZADA |
FEMECV |
978.41 |
21 |
955.73 |
37 % |
32.9 % |
María FEO MIGUELA |
FNDME |
1000.00 |
21 |
977.40 |
39.9 % |
35.7 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
1000.00 |
21 |
977.40 |
39.9 % |
35.7 % |
#####_ Elo History _
Elo Accumulated Second_2023
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1108.96 |
58.6 % |
54.2 % |
Laia TAULATS MCDONALD |
FAM-AND |
1091.04 |
56.1 % |
51.6 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1084.51 |
55.2 % |
50.7 % |
Aida TORRES ILLAMOLA |
FEEC |
1079.71 |
54.5 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1072.65 |
53.5 % |
49 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1069.02 |
53 % |
48.5 % |
Vera BRIONGOS MARTÍN |
FEXME |
1066.66 |
52.6 % |
48.1 % |
Rebeca PEREZ DUATO |
FAM |
1065.87 |
59.6 % |
51.5 % |
Rut MONSECH GASCA |
FEEC |
1050.22 |
50.3 % |
45.8 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1048.76 |
68.5 % |
58.4 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1048.30 |
50 % |
45.5 % |
Mar CARREÑO ESCOBAR |
FADMES |
1036.49 |
67 % |
56.6 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
India PERSSON FERNÁNDEZ |
FADMES |
1032.74 |
66.5 % |
56.1 % |
Lucia MIRANDA CID |
FEEC |
1030.58 |
47.5 % |
43 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1029.71 |
47.3 % |
42.9 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Miriam DIEZ LUENGO |
FMM |
1019.86 |
53.1 % |
44.9 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1019.35 |
64.7 % |
54.2 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1014.52 |
64.1 % |
53.5 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
1012.56 |
51.8 % |
43.9 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
1009.31 |
44.4 % |
40 % |
Rocío LEAL ABAD |
FMRM |
1005.43 |
50.7 % |
42.9 % |
Antia FREITAS RIAL |
FEXME |
1004.86 |
43.8 % |
39.4 % |
Irati ZABALA MUXIKA |
EMF-FVM |
1004.07 |
43.7 % |
39.3 % |
Irati ASO ESAIN |
FNDME |
1001.72 |
62.4 % |
51.7 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
995.63 |
61.6 % |
50.8 % |
Maria PAREDES RAMOS |
FEXME |
994.50 |
42.3 % |
38 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
994.00 |
42.2 % |
37.9 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Paula TRAVERSO LEBRON |
FEXME |
982.72 |
40.7 % |
36.4 % |
Sofía PEÑA PÉREZ |
FMM |
981.81 |
59.7 % |
48.8 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
981.11 |
59.6 % |
48.7 % |
María FEO MIGUELA |
FNDME |
977.40 |
39.9 % |
35.7 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
977.40 |
39.9 % |
35.7 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
975.73 |
46.5 % |
38.8 % |
Amaya DEL POZO CARRION |
FMM |
973.76 |
58.5 % |
47.6 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Nerea PÉREZ PEREA |
FMM |
969.60 |
58 % |
47 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Silvia FAYOS LOZADA |
FEMECV |
955.73 |
37 % |
32.9 % |
Jordana PEREZ GRANELL |
FEMECV |
955.44 |
43.6 % |
36.1 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
953.37 |
55.7 % |
44.7 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
951.28 |
55.4 % |
44.4 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Haizea OSES SAIZ |
EMF-FVM |
945.35 |
35.6 % |
31.6 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
942.92 |
43 % |
38.4 % |
Alba MARTÍNEZ LLARÍA |
FMM |
942.18 |
54.1 % |
43.1 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Lucia LORES REY |
FEGAMON |
937.60 |
53.4 % |
42.5 % |
Maria SANTOS GONZÁLEZ |
FEXME |
937.58 |
53.4 % |
42.5 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
934.13 |
34.1 % |
30.2 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
926.28 |
33.1 % |
29.3 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
921.15 |
51.1 % |
40.2 % |
Elena CARAMES GONZALEZ |
FEMPA |
913.83 |
50 % |
39.2 % |
Elo 2023 May
-Competitors = r
-
Laia TAULATS MCDONALD |
FAM-AND |
1091.04 |
1 |
1121.25 |
66 % |
59.5 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1014.52 |
2 |
1042.46 |
55.3 % |
48.3 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1069.02 |
3 |
1094.19 |
62.5 % |
55.7 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1048.76 |
4 |
1071.45 |
59.3 % |
52.5 % |
India PERSSON FERNÁNDEZ |
FADMES |
1032.74 |
5 |
1052.93 |
56.8 % |
49.8 % |
Mar CARREÑO ESCOBAR |
FADMES |
1036.49 |
6 |
1054.11 |
56.9 % |
50 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
975.73 |
7 |
991.03 |
47.9 % |
41 % |
Amaya DEL POZO CARRION |
FMM |
973.76 |
8 |
986.51 |
47.2 % |
40.4 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
995.63 |
9 |
1005.73 |
50 % |
43.1 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1019.35 |
10 |
1026.79 |
53 % |
46.1 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
1012.56 |
10 |
1020.03 |
52.1 % |
45.1 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
921.15 |
12 |
923.86 |
38.4 % |
32.1 % |
Irati ASO ESAIN |
FNDME |
1001.72 |
13 |
1001.56 |
49.4 % |
42.5 % |
Nerea PÉREZ PEREA |
FMM |
969.60 |
14 |
967.00 |
44.4 % |
37.7 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
953.37 |
15 |
948.28 |
41.8 % |
35.2 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
981.11 |
16 |
973.35 |
45.4 % |
38.6 % |
Alba MARTÍNEZ LLARÍA |
FMM |
942.18 |
17 |
932.01 |
39.5 % |
33.1 % |
Jordana PEREZ GRANELL |
FEMECV |
955.44 |
18 |
942.66 |
41 % |
34.5 % |
Elena CARAMES GONZALEZ |
FEMPA |
913.83 |
19 |
898.65 |
35.1 % |
29 % |
Lucia LORES REY |
FEGAMON |
937.60 |
20 |
919.77 |
37.9 % |
31.6 % |
Maria SANTOS GONZÁLEZ |
FEXME |
937.58 |
20 |
919.75 |
37.9 % |
31.6 % |
Rocío LEAL ABAD |
FMRM |
1005.43 |
20 |
987.33 |
47.4 % |
40.5 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
1000.00 |
23 |
974.41 |
45.5 % |
38.7 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
951.28 |
24 |
923.16 |
38.3 % |
32 % |
Paula MENESES BALLESTEROS |
FDMCM |
1000.00 |
24 |
971.85 |
45.1 % |
38.4 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
980.08 |
24 |
952.00 |
42.3 % |
35.7 % |
#####_ Elo History _
Elo Accumulated Third_2023
Laia TAULATS MCDONALD |
FAM-AND |
1121.25 |
66 % |
59.5 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1108.96 |
58.6 % |
54.2 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1094.19 |
62.5 % |
55.7 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1084.51 |
55.2 % |
50.7 % |
Aida TORRES ILLAMOLA |
FEEC |
1079.71 |
54.5 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1072.65 |
53.5 % |
49 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1071.45 |
59.3 % |
52.5 % |
Vera BRIONGOS MARTÍN |
FEXME |
1066.66 |
52.6 % |
48.1 % |
Rebeca PEREZ DUATO |
FAM |
1065.87 |
59.6 % |
51.5 % |
Mar CARREÑO ESCOBAR |
FADMES |
1054.11 |
56.9 % |
50 % |
India PERSSON FERNÁNDEZ |
FADMES |
1052.93 |
56.8 % |
49.8 % |
Rut MONSECH GASCA |
FEEC |
1050.22 |
50.3 % |
45.8 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1048.30 |
50 % |
45.5 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1042.46 |
55.3 % |
48.3 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Lucia MIRANDA CID |
FEEC |
1030.58 |
47.5 % |
43 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1029.71 |
47.3 % |
42.9 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1026.79 |
53 % |
46.1 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
1020.03 |
52.1 % |
45.1 % |
Miriam DIEZ LUENGO |
FMM |
1019.86 |
53.1 % |
44.9 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
1009.31 |
44.4 % |
40 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1005.73 |
50 % |
43.1 % |
Antia FREITAS RIAL |
FEXME |
1004.86 |
43.8 % |
39.4 % |
Irati ZABALA MUXIKA |
EMF-FVM |
1004.07 |
43.7 % |
39.3 % |
Irati ASO ESAIN |
FNDME |
1001.56 |
49.4 % |
42.5 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Maria PAREDES RAMOS |
FEXME |
994.50 |
42.3 % |
38 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
994.00 |
42.2 % |
37.9 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
991.03 |
47.9 % |
41 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Amaya DEL POZO CARRION |
FMM |
986.51 |
47.2 % |
40.4 % |
Paula TRAVERSO LEBRON |
FEXME |
982.72 |
40.7 % |
36.4 % |
Sofía PEÑA PÉREZ |
FMM |
981.81 |
59.7 % |
48.8 % |
María FEO MIGUELA |
FNDME |
977.40 |
39.9 % |
35.7 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
977.40 |
39.9 % |
35.7 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
974.41 |
45.5 % |
38.7 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
973.35 |
45.4 % |
38.6 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Nerea PÉREZ PEREA |
FMM |
967.00 |
44.4 % |
37.7 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Silvia FAYOS LOZADA |
FEMECV |
955.73 |
37 % |
32.9 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
952.00 |
42.3 % |
35.7 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
948.28 |
41.8 % |
35.2 % |
Haizea OSES SAIZ |
EMF-FVM |
945.35 |
35.6 % |
31.6 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
942.92 |
43 % |
38.4 % |
Jordana PEREZ GRANELL |
FEMECV |
942.66 |
41 % |
34.5 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
934.13 |
34.1 % |
30.2 % |
Alba MARTÍNEZ LLARÍA |
FMM |
932.01 |
39.5 % |
33.1 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
926.28 |
33.1 % |
29.3 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
923.16 |
38.3 % |
32 % |
Lucia LORES REY |
FEGAMON |
919.77 |
37.9 % |
31.6 % |
Maria SANTOS GONZÁLEZ |
FEXME |
919.75 |
37.9 % |
31.6 % |
Elena CARAMES GONZALEZ |
FEMPA |
898.65 |
35.1 % |
29 % |
Elo May-Abs 2023
-Competitors = r
-
Aida TORRES ILLAMOLA |
FEEC |
1079.71 |
1 |
1109.90 |
60.8 % |
52.4 % |
Rebeca PEREZ DUATO |
FAM |
1065.87 |
2 |
1093.08 |
58.5 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1072.65 |
3 |
1096.78 |
59 % |
50.5 % |
Maria PAREDES RAMOS |
FEXME |
994.50 |
4 |
1015.92 |
47.5 % |
39 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1029.71 |
5 |
1047.93 |
52.1 % |
43.5 % |
Rut MONSECH GASCA |
FEEC |
1050.22 |
6 |
1065.30 |
54.6 % |
46 % |
Miriam DIEZ LUENGO |
FMM |
1019.86 |
7 |
1032.03 |
49.8 % |
41.3 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1084.51 |
8 |
1093.35 |
58.5 % |
50 % |
Paula TRAVERSO LEBRON |
FEXME |
982.72 |
9 |
988.95 |
43.6 % |
35.4 % |
Lucia MIRANDA CID |
FEEC |
1030.58 |
10 |
1033.56 |
50 % |
41.5 % |
Laia TAULATS MCDONALD |
FAM-AND |
1121.25 |
11 |
1120.80 |
62.3 % |
53.9 % |
Vera BRIONGOS MARTÍN |
FEXME |
1066.66 |
12 |
1063.39 |
54.3 % |
45.7 % |
Silvia FAYOS LOZADA |
FEMECV |
955.73 |
13 |
949.89 |
38.2 % |
30.5 % |
Antia FREITAS RIAL |
FEXME |
1004.86 |
14 |
995.76 |
44.6 % |
36.3 % |
Irati ZABALA MUXIKA |
EMF-FVM |
1004.07 |
15 |
991.93 |
44 % |
35.8 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1048.30 |
16 |
1032.91 |
49.9 % |
41.4 % |
María FEO MIGUELA |
FNDME |
977.40 |
17 |
959.28 |
39.5 % |
31.6 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
1009.31 |
18 |
988.00 |
43.5 % |
35.3 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
926.28 |
19 |
902.28 |
32 % |
25 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
934.13 |
20 |
907.05 |
32.6 % |
25.5 % |
Claudia LARA PINILLOS |
FADMES |
1000.00 |
21 |
969.65 |
40.9 % |
32.9 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
942.92 |
22 |
909.71 |
32.9 % |
25.8 % |
#####_ Elo History _
Elo Accumulated May-Abs_2023
Laia TAULATS MCDONALD |
FAM-AND |
1120.80 |
62.3 % |
53.9 % |
Aida TORRES ILLAMOLA |
FEEC |
1109.90 |
60.8 % |
52.4 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1108.96 |
58.6 % |
54.2 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1096.78 |
59 % |
50.5 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1094.19 |
62.5 % |
55.7 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1093.35 |
58.5 % |
50 % |
Rebeca PEREZ DUATO |
FAM |
1093.08 |
58.5 % |
50 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1071.45 |
59.3 % |
52.5 % |
Rut MONSECH GASCA |
FEEC |
1065.30 |
54.6 % |
46 % |
Vera BRIONGOS MARTÍN |
FEXME |
1063.39 |
54.3 % |
45.7 % |
Mar CARREÑO ESCOBAR |
FADMES |
1054.11 |
56.9 % |
50 % |
India PERSSON FERNÁNDEZ |
FADMES |
1052.93 |
56.8 % |
49.8 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1047.93 |
52.1 % |
43.5 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1042.46 |
55.3 % |
48.3 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Lucia MIRANDA CID |
FEEC |
1033.56 |
50 % |
41.5 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1032.91 |
49.9 % |
41.4 % |
Miriam DIEZ LUENGO |
FMM |
1032.03 |
49.8 % |
41.3 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1026.79 |
53 % |
46.1 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
1020.03 |
52.1 % |
45.1 % |
Maria PAREDES RAMOS |
FEXME |
1015.92 |
47.5 % |
39 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1005.73 |
50 % |
43.1 % |
Irati ASO ESAIN |
FNDME |
1001.56 |
49.4 % |
42.5 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Antia FREITAS RIAL |
FEXME |
995.76 |
44.6 % |
36.3 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
994.00 |
42.2 % |
37.9 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Irati ZABALA MUXIKA |
EMF-FVM |
991.93 |
44 % |
35.8 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
991.03 |
47.9 % |
41 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Paula TRAVERSO LEBRON |
FEXME |
988.95 |
43.6 % |
35.4 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
988.00 |
43.5 % |
35.3 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Amaya DEL POZO CARRION |
FMM |
986.51 |
47.2 % |
40.4 % |
Sofía PEÑA PÉREZ |
FMM |
981.81 |
59.7 % |
48.8 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
977.40 |
39.9 % |
35.7 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
974.41 |
45.5 % |
38.7 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
973.35 |
45.4 % |
38.6 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Claudia LARA PINILLOS |
FADMES |
969.65 |
40.9 % |
32.9 % |
Nerea PÉREZ PEREA |
FMM |
967.00 |
44.4 % |
37.7 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
María FEO MIGUELA |
FNDME |
959.28 |
39.5 % |
31.6 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
952.00 |
42.3 % |
35.7 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Silvia FAYOS LOZADA |
FEMECV |
949.89 |
38.2 % |
30.5 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
948.28 |
41.8 % |
35.2 % |
Haizea OSES SAIZ |
EMF-FVM |
945.35 |
35.6 % |
31.6 % |
Jordana PEREZ GRANELL |
FEMECV |
942.66 |
41 % |
34.5 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Alba MARTÍNEZ LLARÍA |
FMM |
932.01 |
39.5 % |
33.1 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
923.16 |
38.3 % |
32 % |
Lucia LORES REY |
FEGAMON |
919.77 |
37.9 % |
31.6 % |
Maria SANTOS GONZÁLEZ |
FEXME |
919.75 |
37.9 % |
31.6 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
909.71 |
32.9 % |
25.8 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
907.05 |
32.6 % |
25.5 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
902.28 |
32 % |
25 % |
Elena CARAMES GONZALEZ |
FEMPA |
898.65 |
35.1 % |
29 % |
Elo 2023 June
-Competitors = r
-
India PERSSON FERNÁNDEZ |
FADMES |
1052.93 |
1 |
1083.24 |
61.7 % |
50 % |
Laia TAULATS MCDONALD |
FAM-AND |
1120.80 |
2 |
1148.06 |
70.1 % |
59.2 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1026.79 |
3 |
1051.64 |
57.3 % |
45.5 % |
Mar CARREÑO ESCOBAR |
FADMES |
1054.11 |
4 |
1076.06 |
60.7 % |
49 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1071.45 |
5 |
1090.55 |
62.7 % |
51.1 % |
Sofía PEÑA PÉREZ |
FMM |
981.81 |
6 |
998.50 |
49.7 % |
38 % |
Amaya DEL POZO CARRION |
FMM |
986.51 |
7 |
1000.40 |
50 % |
38.3 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1094.19 |
8 |
1104.85 |
64.6 % |
53.1 % |
Alba MARTÍNEZ LLARÍA |
FMM |
932.01 |
9 |
940.56 |
41.5 % |
30.5 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1042.46 |
9 |
1050.55 |
57.2 % |
45.3 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1005.73 |
11 |
1008.41 |
51.2 % |
39.4 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
973.35 |
12 |
973.38 |
46.1 % |
34.7 % |
Nerea PÉREZ PEREA |
FMM |
967.00 |
13 |
964.27 |
44.8 % |
33.5 % |
Irati ASO ESAIN |
FNDME |
1001.56 |
14 |
995.91 |
49.4 % |
37.7 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
991.03 |
15 |
982.64 |
47.4 % |
35.9 % |
Naroa MORALES ALMAZAN |
FNDME |
1000.00 |
15 |
991.69 |
48.7 % |
37.1 % |
Lucia LORES REY |
FEGAMON |
919.77 |
17 |
906.11 |
36.8 % |
26.5 % |
Natalia PÉREZ VALLE |
FMM |
1000.00 |
17 |
986.13 |
47.9 % |
36.4 % |
Elena CARAMES GONZALEZ |
FEMPA |
898.65 |
19 |
879.50 |
33.3 % |
23.6 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
1020.03 |
20 |
997.60 |
49.6 % |
37.9 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
948.28 |
21 |
923.37 |
39.1 % |
28.5 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
923.16 |
22 |
895.57 |
35.4 % |
25.3 % |
Jordana PEREZ GRANELL |
FEMECV |
942.66 |
23 |
912.21 |
37.6 % |
27.2 % |
Maria SANTOS GONZÁLEZ |
FEXME |
919.75 |
24 |
886.61 |
34.2 % |
24.4 % |
#####_ Elo History _
Elo Accumulated June_2023
Laia TAULATS MCDONALD |
FAM-AND |
1148.06 |
70.1 % |
59.2 % |
Aida TORRES ILLAMOLA |
FEEC |
1109.90 |
60.8 % |
52.4 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1108.96 |
58.6 % |
54.2 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1104.85 |
64.6 % |
53.1 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1096.78 |
59 % |
50.5 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1093.35 |
58.5 % |
50 % |
Rebeca PEREZ DUATO |
FAM |
1093.08 |
58.5 % |
50 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1090.55 |
62.7 % |
51.1 % |
India PERSSON FERNÁNDEZ |
FADMES |
1083.24 |
61.7 % |
50 % |
Mar CARREÑO ESCOBAR |
FADMES |
1076.06 |
60.7 % |
49 % |
Rut MONSECH GASCA |
FEEC |
1065.30 |
54.6 % |
46 % |
Vera BRIONGOS MARTÍN |
FEXME |
1063.39 |
54.3 % |
45.7 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1051.64 |
57.3 % |
45.5 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1050.55 |
57.2 % |
45.3 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1047.93 |
52.1 % |
43.5 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Lucia MIRANDA CID |
FEEC |
1033.56 |
50 % |
41.5 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1032.91 |
49.9 % |
41.4 % |
Miriam DIEZ LUENGO |
FMM |
1032.03 |
49.8 % |
41.3 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Maria PAREDES RAMOS |
FEXME |
1015.92 |
47.5 % |
39 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1008.41 |
51.2 % |
39.4 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Amaya DEL POZO CARRION |
FMM |
1000.40 |
50 % |
38.3 % |
Sofía PEÑA PÉREZ |
FMM |
998.50 |
49.7 % |
38 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
997.60 |
49.6 % |
37.9 % |
Irati ASO ESAIN |
FNDME |
995.91 |
49.4 % |
37.7 % |
Antia FREITAS RIAL |
FEXME |
995.76 |
44.6 % |
36.3 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
994.00 |
42.2 % |
37.9 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Irati ZABALA MUXIKA |
EMF-FVM |
991.93 |
44 % |
35.8 % |
Naroa MORALES ALMAZAN |
FNDME |
991.69 |
48.7 % |
37.1 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Paula TRAVERSO LEBRON |
FEXME |
988.95 |
43.6 % |
35.4 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
988.00 |
43.5 % |
35.3 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Natalia PÉREZ VALLE |
FMM |
986.13 |
47.9 % |
36.4 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
982.64 |
47.4 % |
35.9 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
977.40 |
39.9 % |
35.7 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
974.41 |
45.5 % |
38.7 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
973.38 |
46.1 % |
34.7 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Claudia LARA PINILLOS |
FADMES |
969.65 |
40.9 % |
32.9 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Nerea PÉREZ PEREA |
FMM |
964.27 |
44.8 % |
33.5 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
María FEO MIGUELA |
FNDME |
959.28 |
39.5 % |
31.6 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
952.00 |
42.3 % |
35.7 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Silvia FAYOS LOZADA |
FEMECV |
949.89 |
38.2 % |
30.5 % |
Haizea OSES SAIZ |
EMF-FVM |
945.35 |
35.6 % |
31.6 % |
Alba MARTÍNEZ LLARÍA |
FMM |
940.56 |
41.5 % |
30.5 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
923.37 |
39.1 % |
28.5 % |
Jordana PEREZ GRANELL |
FEMECV |
912.21 |
37.6 % |
27.2 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
909.71 |
32.9 % |
25.8 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
907.05 |
32.6 % |
25.5 % |
Lucia LORES REY |
FEGAMON |
906.11 |
36.8 % |
26.5 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
902.28 |
32 % |
25 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
895.57 |
35.4 % |
25.3 % |
Maria SANTOS GONZÁLEZ |
FEXME |
886.61 |
34.2 % |
24.4 % |
Elena CARAMES GONZALEZ |
FEMPA |
879.50 |
33.3 % |
23.6 % |
Elo June-Abs 2023
-Competitors = r
-
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1108.96 |
1 |
1138.90 |
64.8 % |
52.2 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1096.78 |
2 |
1123.40 |
62.8 % |
50 % |
Rut MONSECH GASCA |
FEEC |
1065.30 |
3 |
1088.69 |
58 % |
45 % |
Aida TORRES ILLAMOLA |
FEEC |
1109.90 |
4 |
1129.73 |
63.6 % |
50.9 % |
Maria PAREDES RAMOS |
FEXME |
1015.92 |
5 |
1032.80 |
50 % |
37.2 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1047.93 |
6 |
1061.30 |
54.1 % |
41.2 % |
Paula TRAVERSO LEBRON |
FEXME |
988.95 |
7 |
999.22 |
45.2 % |
32.9 % |
Lucia MIRANDA CID |
FEEC |
1033.56 |
8 |
1040.25 |
51.1 % |
38.3 % |
Irati ZABALA MUXIKA |
EMF-FVM |
991.93 |
9 |
995.45 |
44.6 % |
32.4 % |
Laia TAULATS MCDONALD |
FAM-AND |
1148.06 |
10 |
1147.52 |
65.9 % |
53.5 % |
Haizea OSES SAIZ |
EMF-FVM |
945.35 |
11 |
942.34 |
37.3 % |
26.1 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1093.35 |
12 |
1086.30 |
57.6 % |
44.7 % |
Antia FREITAS RIAL |
FEXME |
995.76 |
13 |
985.79 |
43.3 % |
31.2 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
988.00 |
14 |
974.69 |
41.7 % |
29.8 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1032.91 |
15 |
1016.03 |
47.6 % |
35 % |
María FEO MIGUELA |
FNDME |
959.28 |
16 |
939.37 |
36.9 % |
25.7 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
907.05 |
17 |
884.00 |
29.8 % |
20.1 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
994.00 |
18 |
967.19 |
40.7 % |
28.9 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
902.28 |
19 |
872.51 |
28.4 % |
19.1 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
977.40 |
20 |
943.93 |
37.5 % |
26.2 % |
#####_ Elo History _
Elo Accumulated June-Abs_2023
Laia TAULATS MCDONALD |
FAM-AND |
1147.52 |
65.9 % |
53.5 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1138.90 |
64.8 % |
52.2 % |
Aida TORRES ILLAMOLA |
FEEC |
1129.73 |
63.6 % |
50.9 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1123.40 |
62.8 % |
50 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1104.85 |
64.6 % |
53.1 % |
Rebeca PEREZ DUATO |
FAM |
1093.08 |
58.5 % |
50 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1090.55 |
62.7 % |
51.1 % |
Rut MONSECH GASCA |
FEEC |
1088.69 |
58 % |
45 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1086.30 |
57.6 % |
44.7 % |
India PERSSON FERNÁNDEZ |
FADMES |
1083.24 |
61.7 % |
50 % |
Mar CARREÑO ESCOBAR |
FADMES |
1076.06 |
60.7 % |
49 % |
Vera BRIONGOS MARTÍN |
FEXME |
1063.39 |
54.3 % |
45.7 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1061.30 |
54.1 % |
41.2 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1051.64 |
57.3 % |
45.5 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1050.55 |
57.2 % |
45.3 % |
Lucia MIRANDA CID |
FEEC |
1040.25 |
51.1 % |
38.3 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Maria PAREDES RAMOS |
FEXME |
1032.80 |
50 % |
37.2 % |
Miriam DIEZ LUENGO |
FMM |
1032.03 |
49.8 % |
41.3 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1016.03 |
47.6 % |
35 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1008.41 |
51.2 % |
39.4 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Amaya DEL POZO CARRION |
FMM |
1000.40 |
50 % |
38.3 % |
Paula TRAVERSO LEBRON |
FEXME |
999.22 |
45.2 % |
32.9 % |
Sofía PEÑA PÉREZ |
FMM |
998.50 |
49.7 % |
38 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
997.60 |
49.6 % |
37.9 % |
Irati ASO ESAIN |
FNDME |
995.91 |
49.4 % |
37.7 % |
Irati ZABALA MUXIKA |
EMF-FVM |
995.45 |
44.6 % |
32.4 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Naroa MORALES ALMAZAN |
FNDME |
991.69 |
48.7 % |
37.1 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Natalia PÉREZ VALLE |
FMM |
986.13 |
47.9 % |
36.4 % |
Antia FREITAS RIAL |
FEXME |
985.79 |
43.3 % |
31.2 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
982.64 |
47.4 % |
35.9 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
974.69 |
41.7 % |
29.8 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
974.41 |
45.5 % |
38.7 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
973.38 |
46.1 % |
34.7 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Claudia LARA PINILLOS |
FADMES |
969.65 |
40.9 % |
32.9 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
967.19 |
40.7 % |
28.9 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Nerea PÉREZ PEREA |
FMM |
964.27 |
44.8 % |
33.5 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
952.00 |
42.3 % |
35.7 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Silvia FAYOS LOZADA |
FEMECV |
949.89 |
38.2 % |
30.5 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
943.93 |
37.5 % |
26.2 % |
Haizea OSES SAIZ |
EMF-FVM |
942.34 |
37.3 % |
26.1 % |
Alba MARTÍNEZ LLARÍA |
FMM |
940.56 |
41.5 % |
30.5 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
María FEO MIGUELA |
FNDME |
939.37 |
36.9 % |
25.7 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
923.37 |
39.1 % |
28.5 % |
Jordana PEREZ GRANELL |
FEMECV |
912.21 |
37.6 % |
27.2 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
909.71 |
32.9 % |
25.8 % |
Lucia LORES REY |
FEGAMON |
906.11 |
36.8 % |
26.5 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
895.57 |
35.4 % |
25.3 % |
Maria SANTOS GONZÁLEZ |
FEXME |
886.61 |
34.2 % |
24.4 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
884.00 |
29.8 % |
20.1 % |
Elena CARAMES GONZALEZ |
FEMPA |
879.50 |
33.3 % |
23.6 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
872.51 |
28.4 % |
19.1 % |
Elo 2023 Nov
-Competitors = r
-
Laia TAULATS MCDONALD |
FAM-AND |
1147.52 |
1 |
1176.66 |
76.8 % |
62.2 % |
India PERSSON FERNÁNDEZ |
FADMES |
1083.24 |
2 |
1108.43 |
69.1 % |
52.6 % |
Mar CARREÑO ESCOBAR |
FADMES |
1076.06 |
3 |
1097.03 |
67.7 % |
51 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1051.64 |
4 |
1068.47 |
64 % |
46.9 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
923.37 |
5 |
936.67 |
45.4 % |
29.3 % |
Amaya DEL POZO CARRION |
FMM |
1000.40 |
6 |
1008.99 |
55.8 % |
38.5 % |
Nerea PÉREZ PEREA |
FMM |
964.27 |
7 |
968.80 |
50 % |
33.2 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1090.55 |
8 |
1090.11 |
66.8 % |
50 % |
Maria SANTOS GONZÁLEZ |
FEXME |
886.61 |
9 |
883.04 |
37.9 % |
23.3 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
982.64 |
10 |
974.27 |
50.8 % |
33.9 % |
Naroa MORALES ALMAZAN |
FNDME |
991.69 |
11 |
979.00 |
51.5 % |
34.5 % |
Lucia LORES REY |
FEGAMON |
906.11 |
12 |
889.63 |
38.8 % |
24 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
973.38 |
13 |
952.26 |
47.6 % |
31.1 % |
Jordana PEREZ GRANELL |
FEMECV |
912.21 |
14 |
887.17 |
38.5 % |
23.7 % |
Irati ASO ESAIN |
FNDME |
995.91 |
15 |
966.13 |
49.6 % |
32.9 % |
Alba MARTÍNEZ LLARÍA |
FMM |
940.56 |
16 |
906.83 |
41.2 % |
25.8 % |
#####_ Elo History _
Elo Accumulated Nov_2023
Laia TAULATS MCDONALD |
FAM-AND |
1176.66 |
76.8 % |
62.2 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1138.90 |
64.8 % |
52.2 % |
Aida TORRES ILLAMOLA |
FEEC |
1129.73 |
63.6 % |
50.9 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1123.40 |
62.8 % |
50 % |
India PERSSON FERNÁNDEZ |
FADMES |
1108.43 |
69.1 % |
52.6 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1104.85 |
64.6 % |
53.1 % |
Mar CARREÑO ESCOBAR |
FADMES |
1097.03 |
67.7 % |
51 % |
Rebeca PEREZ DUATO |
FAM |
1093.08 |
58.5 % |
50 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1090.11 |
66.8 % |
50 % |
Rut MONSECH GASCA |
FEEC |
1088.69 |
58 % |
45 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1086.30 |
57.6 % |
44.7 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1068.47 |
64 % |
46.9 % |
Vera BRIONGOS MARTÍN |
FEXME |
1063.39 |
54.3 % |
45.7 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1061.30 |
54.1 % |
41.2 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1050.55 |
57.2 % |
45.3 % |
Lucia MIRANDA CID |
FEEC |
1040.25 |
51.1 % |
38.3 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Maria PAREDES RAMOS |
FEXME |
1032.80 |
50 % |
37.2 % |
Miriam DIEZ LUENGO |
FMM |
1032.03 |
49.8 % |
41.3 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1016.03 |
47.6 % |
35 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Amaya DEL POZO CARRION |
FMM |
1008.99 |
55.8 % |
38.5 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1008.41 |
51.2 % |
39.4 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Paula TRAVERSO LEBRON |
FEXME |
999.22 |
45.2 % |
32.9 % |
Sofía PEÑA PÉREZ |
FMM |
998.50 |
49.7 % |
38 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
997.60 |
49.6 % |
37.9 % |
Irati ZABALA MUXIKA |
EMF-FVM |
995.45 |
44.6 % |
32.4 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Natalia PÉREZ VALLE |
FMM |
986.13 |
47.9 % |
36.4 % |
Antia FREITAS RIAL |
FEXME |
985.79 |
43.3 % |
31.2 % |
Naroa MORALES ALMAZAN |
FNDME |
979.00 |
51.5 % |
34.5 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
974.69 |
41.7 % |
29.8 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
974.41 |
45.5 % |
38.7 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
974.27 |
50.8 % |
33.9 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Claudia LARA PINILLOS |
FADMES |
969.65 |
40.9 % |
32.9 % |
Nerea PÉREZ PEREA |
FMM |
968.80 |
50 % |
33.2 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
967.19 |
40.7 % |
28.9 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Irati ASO ESAIN |
FNDME |
966.13 |
49.6 % |
32.9 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
952.26 |
47.6 % |
31.1 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
952.00 |
42.3 % |
35.7 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Silvia FAYOS LOZADA |
FEMECV |
949.89 |
38.2 % |
30.5 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
943.93 |
37.5 % |
26.2 % |
Haizea OSES SAIZ |
EMF-FVM |
942.34 |
37.3 % |
26.1 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
María FEO MIGUELA |
FNDME |
939.37 |
36.9 % |
25.7 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
936.67 |
45.4 % |
29.3 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
909.71 |
32.9 % |
25.8 % |
Alba MARTÍNEZ LLARÍA |
FMM |
906.83 |
41.2 % |
25.8 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
895.57 |
35.4 % |
25.3 % |
Lucia LORES REY |
FEGAMON |
889.63 |
38.8 % |
24 % |
Jordana PEREZ GRANELL |
FEMECV |
887.17 |
38.5 % |
23.7 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
884.00 |
29.8 % |
20.1 % |
Maria SANTOS GONZÁLEZ |
FEXME |
883.04 |
37.9 % |
23.3 % |
Elena CARAMES GONZALEZ |
FEMPA |
879.50 |
33.3 % |
23.6 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
872.51 |
28.4 % |
19.1 % |
Elo 2023 Nov-Sub20
-Competitors = r
-
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1138.90 |
1 |
1164.87 |
86.8 % |
67.1 % |
Lucia MIRANDA CID |
FEEC |
1040.25 |
2 |
1058.32 |
78.1 % |
52.5 % |
Miriam DIEZ LUENGO |
FMM |
1032.03 |
3 |
1041.07 |
76.3 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1123.40 |
4 |
1122.13 |
83.7 % |
61.5 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1016.03 |
5 |
1006.99 |
72.6 % |
45.1 % |
Aitana PICÓ I LÓPEZ |
FEMECV |
1000.00 |
6 |
982.56 |
69.7 % |
41.7 % |
María FEO MIGUELA |
FNDME |
939.37 |
7 |
913.03 |
60.7 % |
32.4 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
872.51 |
8 |
837.81 |
50 % |
23.7 % |
#####_ Elo History _
Elo Accumulated Nov-Sub20_2023
Laia TAULATS MCDONALD |
FAM-AND |
1176.66 |
76.8 % |
62.2 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1164.87 |
86.8 % |
67.1 % |
Aida TORRES ILLAMOLA |
FEEC |
1129.73 |
63.6 % |
50.9 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1122.13 |
83.7 % |
61.5 % |
India PERSSON FERNÁNDEZ |
FADMES |
1108.43 |
69.1 % |
52.6 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1104.85 |
64.6 % |
53.1 % |
Mar CARREÑO ESCOBAR |
FADMES |
1097.03 |
67.7 % |
51 % |
Rebeca PEREZ DUATO |
FAM |
1093.08 |
58.5 % |
50 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1090.11 |
66.8 % |
50 % |
Rut MONSECH GASCA |
FEEC |
1088.69 |
58 % |
45 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1086.30 |
57.6 % |
44.7 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1068.47 |
64 % |
46.9 % |
Vera BRIONGOS MARTÍN |
FEXME |
1063.39 |
54.3 % |
45.7 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1061.30 |
54.1 % |
41.2 % |
Lucia MIRANDA CID |
FEEC |
1058.32 |
78.1 % |
52.5 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1050.55 |
57.2 % |
45.3 % |
Miriam DIEZ LUENGO |
FMM |
1041.07 |
76.3 % |
50 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Maria PAREDES RAMOS |
FEXME |
1032.80 |
50 % |
37.2 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Amaya DEL POZO CARRION |
FMM |
1008.99 |
55.8 % |
38.5 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1008.41 |
51.2 % |
39.4 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1006.99 |
72.6 % |
45.1 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Paula TRAVERSO LEBRON |
FEXME |
999.22 |
45.2 % |
32.9 % |
Sofía PEÑA PÉREZ |
FMM |
998.50 |
49.7 % |
38 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
997.60 |
49.6 % |
37.9 % |
Irati ZABALA MUXIKA |
EMF-FVM |
995.45 |
44.6 % |
32.4 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Natalia PÉREZ VALLE |
FMM |
986.13 |
47.9 % |
36.4 % |
Antia FREITAS RIAL |
FEXME |
985.79 |
43.3 % |
31.2 % |
Aitana PICÓ I LÓPEZ |
FEMECV |
982.56 |
69.7 % |
41.7 % |
Naroa MORALES ALMAZAN |
FNDME |
979.00 |
51.5 % |
34.5 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
974.69 |
41.7 % |
29.8 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
974.41 |
45.5 % |
38.7 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
974.27 |
50.8 % |
33.9 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Claudia LARA PINILLOS |
FADMES |
969.65 |
40.9 % |
32.9 % |
Nerea PÉREZ PEREA |
FMM |
968.80 |
50 % |
33.2 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
967.19 |
40.7 % |
28.9 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Irati ASO ESAIN |
FNDME |
966.13 |
49.6 % |
32.9 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
952.26 |
47.6 % |
31.1 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
952.00 |
42.3 % |
35.7 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Silvia FAYOS LOZADA |
FEMECV |
949.89 |
38.2 % |
30.5 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
943.93 |
37.5 % |
26.2 % |
Haizea OSES SAIZ |
EMF-FVM |
942.34 |
37.3 % |
26.1 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
936.67 |
45.4 % |
29.3 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
María FEO MIGUELA |
FNDME |
913.03 |
60.7 % |
32.4 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
909.71 |
32.9 % |
25.8 % |
Alba MARTÍNEZ LLARÍA |
FMM |
906.83 |
41.2 % |
25.8 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
895.57 |
35.4 % |
25.3 % |
Lucia LORES REY |
FEGAMON |
889.63 |
38.8 % |
24 % |
Jordana PEREZ GRANELL |
FEMECV |
887.17 |
38.5 % |
23.7 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
884.00 |
29.8 % |
20.1 % |
Maria SANTOS GONZÁLEZ |
FEXME |
883.04 |
37.9 % |
23.3 % |
Elena CARAMES GONZALEZ |
FEMPA |
879.50 |
33.3 % |
23.6 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
837.81 |
50 % |
23.7 % |
Elo 2023 Nov-Abs
-Competitors = r
-
Rebeca PEREZ DUATO |
FAM |
1093.08 |
1 |
1123.10 |
59 % |
50 % |
Maria PAREDES RAMOS |
FEXME |
1032.80 |
2 |
1059.89 |
50 % |
41 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1164.87 |
3 |
1188.20 |
67.7 % |
59.3 % |
Aida TORRES ILLAMOLA |
FEEC |
1129.73 |
4 |
1150.00 |
62.7 % |
53.9 % |
Rut MONSECH GASCA |
FEEC |
1088.69 |
5 |
1105.93 |
56.6 % |
47.5 % |
Lucia MIRANDA CID |
FEEC |
1058.32 |
6 |
1072.49 |
51.8 % |
42.8 % |
Miriam DIEZ LUENGO |
FMM |
1041.07 |
7 |
1052.12 |
48.9 % |
39.9 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1061.30 |
8 |
1069.06 |
51.3 % |
42.3 % |
Paula TRAVERSO LEBRON |
FEXME |
999.22 |
9 |
1004.06 |
42 % |
33.5 % |
Laia TAULATS MCDONALD |
FAM-AND |
1176.66 |
10 |
1177.54 |
66.3 % |
57.8 % |
Silvia FAYOS LOZADA |
FEMECV |
949.89 |
11 |
948.56 |
34.5 % |
26.8 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1122.13 |
12 |
1116.83 |
58.1 % |
49.1 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
1006.99 |
13 |
999.00 |
41.3 % |
32.9 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
974.69 |
14 |
963.65 |
36.5 % |
28.5 % |
Antia FREITAS RIAL |
FEXME |
985.79 |
15 |
971.50 |
37.5 % |
29.5 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
909.71 |
16 |
892.56 |
27.6 % |
21 % |
Aitana PICÓ I LÓPEZ |
FEMECV |
982.56 |
17 |
961.88 |
36.3 % |
28.3 % |
Marina REVERT LLOMPART |
FBME |
1000.00 |
18 |
976.12 |
38.2 % |
30 % |
María FEO MIGUELA |
FNDME |
913.03 |
19 |
886.26 |
26.9 % |
20.4 % |
Amaya DEL POZO CARRION |
FMM |
1008.99 |
20 |
978.59 |
38.5 % |
30.3 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
837.81 |
21 |
804.94 |
18.7 % |
13.8 % |
#####_ Elo History _
Elo Accumulated Nov-Abs_2023
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1188.20 |
67.7 % |
59.3 % |
Laia TAULATS MCDONALD |
FAM-AND |
1177.54 |
66.3 % |
57.8 % |
Aida TORRES ILLAMOLA |
FEEC |
1150.00 |
62.7 % |
53.9 % |
Rebeca PEREZ DUATO |
FAM |
1123.10 |
59 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1116.83 |
58.1 % |
49.1 % |
India PERSSON FERNÁNDEZ |
FADMES |
1108.43 |
69.1 % |
52.6 % |
Rut MONSECH GASCA |
FEEC |
1105.93 |
56.6 % |
47.5 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1104.85 |
64.6 % |
53.1 % |
Mar CARREÑO ESCOBAR |
FADMES |
1097.03 |
67.7 % |
51 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1090.11 |
66.8 % |
50 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1086.30 |
57.6 % |
44.7 % |
Lucia MIRANDA CID |
FEEC |
1072.49 |
51.8 % |
42.8 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1069.06 |
51.3 % |
42.3 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1068.47 |
64 % |
46.9 % |
Vera BRIONGOS MARTÍN |
FEXME |
1063.39 |
54.3 % |
45.7 % |
Maria PAREDES RAMOS |
FEXME |
1059.89 |
50 % |
41 % |
Miriam DIEZ LUENGO |
FMM |
1052.12 |
48.9 % |
39.9 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1050.55 |
57.2 % |
45.3 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1008.41 |
51.2 % |
39.4 % |
Paula TRAVERSO LEBRON |
FEXME |
1004.06 |
42 % |
33.5 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
999.00 |
41.3 % |
32.9 % |
Sofía PEÑA PÉREZ |
FMM |
998.50 |
49.7 % |
38 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
997.60 |
49.6 % |
37.9 % |
Irati ZABALA MUXIKA |
EMF-FVM |
995.45 |
44.6 % |
32.4 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Natalia PÉREZ VALLE |
FMM |
986.13 |
47.9 % |
36.4 % |
Naroa MORALES ALMAZAN |
FNDME |
979.00 |
51.5 % |
34.5 % |
Amaya DEL POZO CARRION |
FMM |
978.59 |
38.5 % |
30.3 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Marina REVERT LLOMPART |
FBME |
976.12 |
38.2 % |
30 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
974.41 |
45.5 % |
38.7 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
974.27 |
50.8 % |
33.9 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Antia FREITAS RIAL |
FEXME |
971.50 |
37.5 % |
29.5 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Claudia LARA PINILLOS |
FADMES |
969.65 |
40.9 % |
32.9 % |
Nerea PÉREZ PEREA |
FMM |
968.80 |
50 % |
33.2 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
967.19 |
40.7 % |
28.9 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Irati ASO ESAIN |
FNDME |
966.13 |
49.6 % |
32.9 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
963.65 |
36.5 % |
28.5 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Aitana PICÓ I LÓPEZ |
FEMECV |
961.88 |
36.3 % |
28.3 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
952.26 |
47.6 % |
31.1 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
952.00 |
42.3 % |
35.7 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Silvia FAYOS LOZADA |
FEMECV |
948.56 |
34.5 % |
26.8 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
943.93 |
37.5 % |
26.2 % |
Haizea OSES SAIZ |
EMF-FVM |
942.34 |
37.3 % |
26.1 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
936.67 |
45.4 % |
29.3 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
Alba MARTÍNEZ LLARÍA |
FMM |
906.83 |
41.2 % |
25.8 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
895.57 |
35.4 % |
25.3 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
892.56 |
27.6 % |
21 % |
Lucia LORES REY |
FEGAMON |
889.63 |
38.8 % |
24 % |
Jordana PEREZ GRANELL |
FEMECV |
887.17 |
38.5 % |
23.7 % |
María FEO MIGUELA |
FNDME |
886.26 |
26.9 % |
20.4 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
884.00 |
29.8 % |
20.1 % |
Maria SANTOS GONZÁLEZ |
FEXME |
883.04 |
37.9 % |
23.3 % |
Elena CARAMES GONZALEZ |
FEMPA |
879.50 |
33.3 % |
23.6 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
804.94 |
18.7 % |
13.8 % |
Anchoring ‘elo.last.accum’ 2023
MERGING FROM SUB16-2023
Geila MACIÀ MARTÍN |
FEEC |
1149.83 |
65.9 % |
63.4 % |
Júlia BENACH ZUBERO |
FEEC |
1142.29 |
64.9 % |
62.4 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1102.11 |
59.5 % |
56.8 % |
Emily Charlotte PESCETTO |
FEEC |
1074.92 |
56.7 % |
51.7 % |
Laia TAULATS MCDONALD |
FAM-AND |
1063.12 |
55 % |
50 % |
Nathalie Joanna VENDSALU |
FEMECV |
1058.95 |
54.4 % |
49.4 % |
Erika CARRASCO AGUILA |
FMM |
1054.54 |
52.8 % |
50 % |
Emily Charlotte PESCETTO BUDDEN |
FEEC |
1054.14 |
52.7 % |
49.9 % |
Maria FERRÉ PRIM |
FEEC |
1051.99 |
55.7 % |
50 % |
Ines ALLENDE LOPEZ |
EMF-FVM |
1045.92 |
51.5 % |
48.8 % |
Aina VILA CANTERO |
FEEC |
1044.80 |
51.4 % |
48.6 % |
Martina MUÑIZ VALENCIA |
FMM |
1035.46 |
50 % |
47.3 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCM |
1035.31 |
50 % |
47.2 % |
Swann LAMBLIN BURGUET |
FEEC |
1035.05 |
50 % |
47.2 % |
Candela AMADOR DEL CASTILLO |
FMM |
1032.72 |
49.6 % |
46.9 % |
Udane MUGICA LASA |
EMF-FVM |
1031.80 |
49.5 % |
46.7 % |
Maria FARRÉ PRIM |
FEEC |
1028.21 |
49 % |
46.2 % |
India PERSSON FERNÁNDEZ |
FADMES |
1027.94 |
50 % |
45 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1022.43 |
48.1 % |
45.4 % |
Maite VILA LÓPEZ |
FEXME |
1018.74 |
47.6 % |
44.9 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1018.32 |
48.6 % |
43.6 % |
Naroa AYERDI ARIZ |
FNDME |
1014.95 |
47.1 % |
44.3 % |
Amanda BECERRA ESPINOSA |
FEXME |
1013.02 |
46.8 % |
44.1 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1011.28 |
47.6 % |
42.6 % |
Loreto PEINADO FRANGANILLO |
FMM |
1008.25 |
46.1 % |
43.4 % |
Clara SALA PÉREZ |
FEMECV |
1004.92 |
45.6 % |
42.9 % |
Sofía PEÑA PÉREZ |
FMM |
996.08 |
45.4 % |
40.5 % |
Edurne MARTÍNEZ ALMENDROS |
FDMESCyL |
995.05 |
44.2 % |
41.5 % |
Amaya DEL POZO CARIION |
FMM |
994.93 |
47.8 % |
46 % |
Lucía LÓPEZ SÁNCHEZ |
FEXME |
992.20 |
43.8 % |
41.1 % |
Amaya DEL POZO CARRION |
FMM |
991.21 |
46 % |
42.7 % |
Alba SÁNCHEZ GARCÍA |
FMRM |
990.11 |
43.5 % |
40.8 % |
Elena FERREIRO RODRIGUEZ |
FEGAMON |
989.36 |
43.4 % |
40.7 % |
Alba DÍAZ MARTÍNEZ |
FEMECV |
987.03 |
43.1 % |
40.4 % |
Nora GARCÍA MAESTU |
FEGAMON |
986.18 |
46.3 % |
40.6 % |
Noa PERSSON FERNÁNDEZ |
FADMES |
985.19 |
42.8 % |
40.1 % |
Berta GONZÁLEZ MARTÍNEZ |
FDMCM |
984.91 |
42.8 % |
40.1 % |
Paula MARTÍNEZ AGUDO |
FMM |
984.02 |
42.7 % |
40 % |
Meia LEÓN VILCHES |
FEXME |
983.40 |
42.6 % |
39.9 % |
África PIÉDROLA SÁNCHEZ |
FADMES |
982.63 |
42.5 % |
39.8 % |
Elba VERGÉS SOLÉ |
FEEC |
982.49 |
42.5 % |
39.8 % |
Patricia LEAL ABAD |
FMRM |
982.49 |
42.5 % |
39.8 % |
Ayla RUBIO GARCIA |
FMM |
982.13 |
46 % |
44.1 % |
Sara GUERRERO RODRÍGUEZ |
FDMESCyL |
980.17 |
44.4 % |
41.1 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
980.08 |
43.2 % |
38.3 % |
Alejandra MUÑOZ RODRÍGUEZ |
FADMES |
977.92 |
41.8 % |
39.1 % |
Anna Sofia BETHENCOURT NEMECKOVA |
FECAMON |
977.54 |
45 % |
39.4 % |
Aitana GARCÍA BERNABEU |
FEMECV |
977.12 |
44 % |
40.7 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
975.76 |
43.8 % |
40.5 % |
Lucía SÁNCHEZ SANTAMARÍA |
FDMESCyL |
975.76 |
43.8 % |
40.5 % |
Raquel GEIJO RODRÍGUEZ |
FDMESCyL |
975.76 |
43.8 % |
40.5 % |
Sofia SUAREZ DIAZ |
FEMPA |
974.08 |
44.6 % |
39 % |
Eva RABADÁN GARCÍA |
FDMCM |
973.35 |
41.2 % |
38.5 % |
Inés PORRERO MORA |
FDMCM |
973.35 |
41.2 % |
38.5 % |
Ana SECO GABARRI |
FNDME |
971.27 |
40.9 % |
38.2 % |
Nora ECHEVARRIA NUÑEZ |
EMF-FVM |
969.67 |
40.7 % |
38 % |
Cristina CHAMON GARCÍA |
FDMCM |
969.33 |
44.1 % |
42.3 % |
Vega SÁNCHEZ ESCUDERO |
FDMESCyL |
968.89 |
43.8 % |
38.3 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
968.63 |
42.8 % |
39.5 % |
Sofia PÉREZ PEREA |
FMM |
967.34 |
40.3 % |
37.7 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
963.24 |
40.8 % |
36 % |
Lucia LORES REY |
FEGAMON |
961.32 |
41.8 % |
38.5 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
951.23 |
39.1 % |
34.4 % |
Alba MARTÍNEZ LLARÍA |
FMM |
949.85 |
38.9 % |
34.3 % |
Maria SANTOS GONZÁLEZ |
FEXME |
948.45 |
38.8 % |
34.1 % |
Emma QUEIJO NAVEIRA |
FEGAMON |
946.72 |
37.5 % |
35 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
945.64 |
37.4 % |
34.8 % |
Carla PEREZ AMBRONA |
FMM |
943.88 |
37.1 % |
34.6 % |
Paula HUERGO MIYAR |
FEMPA |
939.58 |
36.6 % |
34 % |
Lara PRIDA SEOANE |
FEGAMON |
917.39 |
33.7 % |
31.2 % |
Alejandra MARTÍN GARCÍA |
FDMCM |
915.89 |
33.5 % |
31 % |
Júlia BENACH ZUBERO |
FEEC |
1142.29 |
1 |
1173.06 |
66.8 % |
62.8 % |
Geila MACIÀ MARTÍN |
FEEC |
1149.83 |
2 |
1178.98 |
67.6 % |
63.6 % |
Emily Charlotte PESCETTO BUDDEN |
FEEC |
1054.14 |
3 |
1081.91 |
54.4 % |
50 % |
Clara SALA PÉREZ |
FEMECV |
1004.92 |
4 |
1031.22 |
47.1 % |
42.8 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1102.11 |
5 |
1126.57 |
60.7 % |
56.4 % |
Maria FARRÉ PRIM |
FEEC |
1028.21 |
6 |
1051.25 |
50 % |
45.6 % |
Erika CARRASCO AGUILA |
FMM |
1054.54 |
7 |
1075.91 |
53.5 % |
49.1 % |
Udane MUGICA LASA |
EMF-FVM |
1031.80 |
8 |
1051.63 |
50.1 % |
45.7 % |
Ines ALLENDE LOPEZ |
EMF-FVM |
1045.92 |
9 |
1064.11 |
51.9 % |
47.4 % |
Edurne MARTÍNEZ ALMENDROS |
FDMESCyL |
995.05 |
10 |
1011.77 |
44.3 % |
40 % |
Maite VILA LÓPEZ |
FEXME |
1018.74 |
11 |
1033.80 |
47.5 % |
43.1 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1022.43 |
12 |
1035.88 |
47.8 % |
43.4 % |
Loreto PEINADO FRANGANILLO |
FMM |
1008.25 |
13 |
1020.14 |
45.5 % |
41.2 % |
Aina VILA CANTERO |
FEEC |
1044.80 |
14 |
1055.00 |
50.5 % |
46.1 % |
Candela AMADOR DEL CASTILLO |
FMM |
1032.72 |
15 |
1041.35 |
48.6 % |
44.2 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCM |
1035.31 |
16 |
1042.33 |
48.7 % |
44.3 % |
Amanda BECERRA ESPINOSA |
FEXME |
1013.02 |
17 |
1018.50 |
45.3 % |
41 % |
Martina MUÑIZ VALENCIA |
FMM |
1035.46 |
18 |
1039.28 |
48.3 % |
43.9 % |
Meia LEÓN VILCHES |
FEXME |
983.40 |
18 |
987.35 |
40.9 % |
36.7 % |
Paula HUERGO MIYAR |
FEMPA |
939.58 |
20 |
940.44 |
34.6 % |
30.7 % |
Berta GONZÁLEZ MARTÍNEZ |
FDMCM |
984.91 |
21 |
984.06 |
40.4 % |
36.3 % |
Elna ROTGÉS CASELLAS |
FEEC |
1000.00 |
22 |
997.62 |
42.3 % |
38.1 % |
Naroa AYERDI ARIZ |
FNDME |
1014.95 |
23 |
1010.82 |
44.2 % |
39.9 % |
Alba DÍAZ MARTÍNEZ |
FEMECV |
987.03 |
24 |
981.37 |
40.1 % |
35.9 % |
Elba VERGÉS SOLÉ |
FEEC |
982.49 |
24 |
976.85 |
39.5 % |
35.3 % |
Elena FERREIRO RODRIGUEZ |
FEGAMON |
989.36 |
24 |
983.70 |
40.4 % |
36.2 % |
Eva RABADÁN GARCÍA |
FDMCM |
973.35 |
24 |
967.73 |
38.2 % |
34.1 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
945.64 |
24 |
940.09 |
34.5 % |
30.7 % |
Noa PERSSON FERNÁNDEZ |
FADMES |
985.19 |
24 |
979.54 |
39.8 % |
35.7 % |
Nora ECHEVARRIA NUÑEZ |
EMF-FVM |
969.67 |
24 |
964.06 |
37.7 % |
33.7 % |
Sofia PÉREZ PEREA |
FMM |
967.34 |
24 |
961.73 |
37.4 % |
33.4 % |
Swann LAMBLIN BURGUET |
FEEC |
1035.05 |
24 |
1029.27 |
46.8 % |
42.5 % |
Enara MALO SANTOS |
FNDME |
1000.00 |
24 |
994.42 |
41.9 % |
37.7 % |
Gaia POLINI MARTÍNEZ |
FEEC |
1000.00 |
24 |
994.42 |
41.9 % |
37.7 % |
Sara SANMARTÍN CALVO |
FNDME |
1000.00 |
24 |
994.42 |
41.9 % |
37.7 % |
Carla PEREZ AMBRONA |
FMM |
943.88 |
36 |
919.13 |
31.9 % |
28.1 % |
Emma QUEIJO NAVEIRA |
FEGAMON |
946.72 |
36 |
921.97 |
32.2 % |
28.5 % |
Nora GARCÍA MAESTU |
FEGAMON |
986.18 |
36 |
961.33 |
37.3 % |
33.3 % |
Asia LATORRE CORO |
FAM |
1000.00 |
36 |
975.22 |
39.2 % |
35.1 % |
Lucía LÓPEZ SÁNCHEZ |
FEXME |
992.20 |
40 |
960.93 |
37.3 % |
33.3 % |
Anna Sofia BETHENCOURT NEMECKOVA |
FECAMON |
977.54 |
41 |
944.71 |
35.1 % |
31.2 % |
Geila MACIÀ MARTÍN |
FEEC |
1178.98 |
67.6 % |
63.6 % |
Júlia BENACH ZUBERO |
FEEC |
1173.06 |
66.8 % |
62.8 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1126.57 |
60.7 % |
56.4 % |
Emily Charlotte PESCETTO BUDDEN |
FEEC |
1081.91 |
54.4 % |
50 % |
Erika CARRASCO AGUILA |
FMM |
1075.91 |
53.5 % |
49.1 % |
Emily Charlotte PESCETTO |
FEEC |
1074.92 |
56.7 % |
51.7 % |
Ines ALLENDE LOPEZ |
EMF-FVM |
1064.11 |
51.9 % |
47.4 % |
Laia TAULATS MCDONALD |
FAM-AND |
1063.12 |
55 % |
50 % |
Nathalie Joanna VENDSALU |
FEMECV |
1058.95 |
54.4 % |
49.4 % |
Aina VILA CANTERO |
FEEC |
1055.00 |
50.5 % |
46.1 % |
Maria FERRÉ PRIM |
FEEC |
1051.99 |
55.7 % |
50 % |
Udane MUGICA LASA |
EMF-FVM |
1051.63 |
50.1 % |
45.7 % |
Maria FARRÉ PRIM |
FEEC |
1051.25 |
50 % |
45.6 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCM |
1042.33 |
48.7 % |
44.3 % |
Candela AMADOR DEL CASTILLO |
FMM |
1041.35 |
48.6 % |
44.2 % |
Martina MUÑIZ VALENCIA |
FMM |
1039.28 |
48.3 % |
43.9 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1035.88 |
47.8 % |
43.4 % |
Maite VILA LÓPEZ |
FEXME |
1033.80 |
47.5 % |
43.1 % |
Clara SALA PÉREZ |
FEMECV |
1031.22 |
47.1 % |
42.8 % |
Swann LAMBLIN BURGUET |
FEEC |
1029.27 |
46.8 % |
42.5 % |
India PERSSON FERNÁNDEZ |
FADMES |
1027.94 |
50 % |
45 % |
Loreto PEINADO FRANGANILLO |
FMM |
1020.14 |
45.5 % |
41.2 % |
Amanda BECERRA ESPINOSA |
FEXME |
1018.50 |
45.3 % |
41 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1018.32 |
48.6 % |
43.6 % |
Edurne MARTÍNEZ ALMENDROS |
FDMESCyL |
1011.77 |
44.3 % |
40 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1011.28 |
47.6 % |
42.6 % |
Naroa AYERDI ARIZ |
FNDME |
1010.82 |
44.2 % |
39.9 % |
Elna ROTGÉS CASELLAS |
FEEC |
997.62 |
42.3 % |
38.1 % |
Sofía PEÑA PÉREZ |
FMM |
996.08 |
45.4 % |
40.5 % |
Amaya DEL POZO CARIION |
FMM |
994.93 |
47.8 % |
46 % |
Enara MALO SANTOS |
FNDME |
994.42 |
41.9 % |
37.7 % |
Gaia POLINI MARTÍNEZ |
FEEC |
994.42 |
41.9 % |
37.7 % |
Sara SANMARTÍN CALVO |
FNDME |
994.42 |
41.9 % |
37.7 % |
Amaya DEL POZO CARRION |
FMM |
991.21 |
46 % |
42.7 % |
Alba SÁNCHEZ GARCÍA |
FMRM |
990.11 |
43.5 % |
40.8 % |
Meia LEÓN VILCHES |
FEXME |
987.35 |
40.9 % |
36.7 % |
Berta GONZÁLEZ MARTÍNEZ |
FDMCM |
984.06 |
40.4 % |
36.3 % |
Paula MARTÍNEZ AGUDO |
FMM |
984.02 |
42.7 % |
40 % |
Elena FERREIRO RODRIGUEZ |
FEGAMON |
983.70 |
40.4 % |
36.2 % |
África PIÉDROLA SÁNCHEZ |
FADMES |
982.63 |
42.5 % |
39.8 % |
Patricia LEAL ABAD |
FMRM |
982.49 |
42.5 % |
39.8 % |
Ayla RUBIO GARCIA |
FMM |
982.13 |
46 % |
44.1 % |
Alba DÍAZ MARTÍNEZ |
FEMECV |
981.37 |
40.1 % |
35.9 % |
Sara GUERRERO RODRÍGUEZ |
FDMESCyL |
980.17 |
44.4 % |
41.1 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
980.08 |
43.2 % |
38.3 % |
Noa PERSSON FERNÁNDEZ |
FADMES |
979.54 |
39.8 % |
35.7 % |
Alejandra MUÑOZ RODRÍGUEZ |
FADMES |
977.92 |
41.8 % |
39.1 % |
Aitana GARCÍA BERNABEU |
FEMECV |
977.12 |
44 % |
40.7 % |
Elba VERGÉS SOLÉ |
FEEC |
976.85 |
39.5 % |
35.3 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
975.76 |
43.8 % |
40.5 % |
Lucía SÁNCHEZ SANTAMARÍA |
FDMESCyL |
975.76 |
43.8 % |
40.5 % |
Raquel GEIJO RODRÍGUEZ |
FDMESCyL |
975.76 |
43.8 % |
40.5 % |
Asia LATORRE CORO |
FAM |
975.22 |
39.2 % |
35.1 % |
Sofia SUAREZ DIAZ |
FEMPA |
974.08 |
44.6 % |
39 % |
Inés PORRERO MORA |
FDMCM |
973.35 |
41.2 % |
38.5 % |
Ana SECO GABARRI |
FNDME |
971.27 |
40.9 % |
38.2 % |
Cristina CHAMON GARCÍA |
FDMCM |
969.33 |
44.1 % |
42.3 % |
Vega SÁNCHEZ ESCUDERO |
FDMESCyL |
968.89 |
43.8 % |
38.3 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
968.63 |
42.8 % |
39.5 % |
Eva RABADÁN GARCÍA |
FDMCM |
967.73 |
38.2 % |
34.1 % |
Nora ECHEVARRIA NUÑEZ |
EMF-FVM |
964.06 |
37.7 % |
33.7 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
963.24 |
40.8 % |
36 % |
Sofia PÉREZ PEREA |
FMM |
961.73 |
37.4 % |
33.4 % |
Nora GARCÍA MAESTU |
FEGAMON |
961.33 |
37.3 % |
33.3 % |
Lucia LORES REY |
FEGAMON |
961.32 |
41.8 % |
38.5 % |
Lucía LÓPEZ SÁNCHEZ |
FEXME |
960.93 |
37.3 % |
33.3 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
951.23 |
39.1 % |
34.4 % |
Alba MARTÍNEZ LLARÍA |
FMM |
949.85 |
38.9 % |
34.3 % |
Maria SANTOS GONZÁLEZ |
FEXME |
948.45 |
38.8 % |
34.1 % |
Anna Sofia BETHENCOURT NEMECKOVA |
FECAMON |
944.71 |
35.1 % |
31.2 % |
Paula HUERGO MIYAR |
FEMPA |
940.44 |
34.6 % |
30.7 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
940.09 |
34.5 % |
30.7 % |
Emma QUEIJO NAVEIRA |
FEGAMON |
921.97 |
32.2 % |
28.5 % |
Carla PEREZ AMBRONA |
FMM |
919.13 |
31.9 % |
28.1 % |
Lara PRIDA SEOANE |
FEGAMON |
917.39 |
33.7 % |
31.2 % |
Alejandra MARTÍN GARCÍA |
FDMCM |
915.89 |
33.5 % |
31 % |
Elo April 2024
-Competitors = r
-
re-instating ‘elo.last.accum’
elo.last.accum <- elo.23.accum
Laia TAULATS MCDONALD |
FAM-AND |
1177.54 |
1 |
1206.17 |
82 % |
67.3 % |
Maria FARRÉ PRIM |
FEEC |
1065.30 |
2 |
1094.33 |
70.5 % |
51.9 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1153.89 |
3 |
1180.83 |
79.7 % |
64 % |
Erika CARRASCO AGUILA |
FMM |
1099.99 |
4 |
1125.17 |
74.1 % |
56.4 % |
Meia LEÓN VILCHES |
FEXME |
998.21 |
5 |
1021.77 |
61.2 % |
41.6 % |
India PERSSON FERNÁNDEZ |
FADMES |
1108.43 |
6 |
1128.03 |
74.4 % |
56.8 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1090.11 |
7 |
1107.94 |
72.1 % |
53.9 % |
Martina MUÑIZ VALENCIA |
FMM |
1055.04 |
8 |
1072.80 |
67.9 % |
48.9 % |
Hirune JACOBS HAMMU |
FECAMON |
1000.00 |
9 |
1016.02 |
60.4 % |
40.8 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1068.47 |
10 |
1080.79 |
68.9 % |
50 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1039.86 |
11 |
1052.01 |
65.2 % |
45.9 % |
Maite VILA LÓPEZ |
FEXME |
1054.63 |
12 |
1064.86 |
66.9 % |
47.7 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1050.55 |
13 |
1057.33 |
65.9 % |
46.6 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
930.86 |
14 |
937.65 |
49.3 % |
30.5 % |
Elba VERGÉS SOLÉ |
FEEC |
970.89 |
15 |
975.69 |
54.7 % |
35.3 % |
Naroa MORALES ALMAZAN |
FNDME |
979.00 |
16 |
980.61 |
55.4 % |
36 % |
Maria SANTOS GONZÁLEZ |
FEXME |
883.04 |
17 |
883.37 |
41.5 % |
24.3 % |
Irati ASO ESAIN |
FNDME |
966.13 |
18 |
964.05 |
53.1 % |
33.8 % |
Alba MARTÍNEZ LLARÍA |
FMM |
906.83 |
19 |
903.25 |
44.3 % |
26.5 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCLM |
1051.35 |
20 |
1046.53 |
64.5 % |
45.1 % |
Marta RIVERA GALLERA |
FMM |
980.65 |
21 |
974.13 |
54.5 % |
35.1 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
952.26 |
22 |
942.75 |
50 % |
31.1 % |
Alejandra MUÑOZ RODRÍGUEZ |
FADMES |
977.92 |
23 |
967.65 |
53.6 % |
34.3 % |
Elna ROTGÉS CASELLAS |
FEEC |
997.62 |
23 |
987.30 |
56.4 % |
36.9 % |
Gaia POLINI MARTÍNEZ |
FEEC |
994.42 |
25 |
980.34 |
55.4 % |
35.9 % |
Libe CASTILLO EGUREN |
EMF-FVM |
1000.00 |
26 |
984.02 |
55.9 % |
36.4 % |
Paula HUERGO MIYAR |
FEMPA |
940.44 |
26 |
924.62 |
47.4 % |
28.9 % |
Lara PRIDA SEOANE |
FEGAMON |
917.39 |
28 |
897.86 |
43.6 % |
25.9 % |
Amalia GARCÍA-COSIO ROMAGOSA |
FBME |
1000.00 |
29 |
978.38 |
55.1 % |
35.7 % |
Malena ECHALAR CÁRDENAS |
FAM |
1000.00 |
29 |
978.38 |
55.1 % |
35.7 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
952.00 |
31 |
925.55 |
47.5 % |
29 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
895.57 |
31 |
869.47 |
39.6 % |
22.9 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
974.41 |
33 |
944.05 |
50.2 % |
31.3 % |
Lucia LORES REY |
FEGAMON |
889.63 |
33 |
859.80 |
38.3 % |
21.9 % |
Andrea HERREROS BELMAR |
FDMCLM |
1000.00 |
33 |
970.85 |
54 % |
34.7 % |
#####_ Elo History _
Elo Accumulated April_2024
Laia TAULATS MCDONALD |
FAM-AND |
1206.17 |
82 % |
67.3 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1188.20 |
67.7 % |
59.3 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1180.83 |
79.7 % |
64 % |
Aida TORRES ILLAMOLA |
FEEC |
1150.00 |
62.7 % |
53.9 % |
India PERSSON FERNÁNDEZ |
FADMES |
1128.03 |
74.4 % |
56.8 % |
Erika CARRASCO AGUILA |
FMM |
1125.17 |
74.1 % |
56.4 % |
Rebeca PEREZ DUATO |
FAM |
1123.10 |
59 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1116.83 |
58.1 % |
49.1 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1107.94 |
72.1 % |
53.9 % |
Rut MONSECH GASCA |
FEEC |
1105.93 |
56.6 % |
47.5 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1104.85 |
64.6 % |
53.1 % |
Mar CARREÑO ESCOBAR |
FADMES |
1097.03 |
67.7 % |
51 % |
Maria FARRÉ PRIM |
FEEC |
1094.33 |
70.5 % |
51.9 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1086.30 |
57.6 % |
44.7 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1080.79 |
68.9 % |
50 % |
Martina MUÑIZ VALENCIA |
FMM |
1072.80 |
67.9 % |
48.9 % |
Lucia MIRANDA CID |
FEEC |
1072.49 |
51.8 % |
42.8 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1069.06 |
51.3 % |
42.3 % |
Maite VILA LÓPEZ |
FEXME |
1064.86 |
66.9 % |
47.7 % |
Vera BRIONGOS MARTÍN |
FEXME |
1063.39 |
54.3 % |
45.7 % |
Maria PAREDES RAMOS |
FEXME |
1059.89 |
50 % |
41 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1057.33 |
65.9 % |
46.6 % |
Miriam DIEZ LUENGO |
FMM |
1052.12 |
48.9 % |
39.9 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1052.01 |
65.2 % |
45.9 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCLM |
1046.53 |
64.5 % |
45.1 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Meia LEÓN VILCHES |
FEXME |
1021.77 |
61.2 % |
41.6 % |
Hirune JACOBS HAMMU |
FECAMON |
1016.02 |
60.4 % |
40.8 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1008.41 |
51.2 % |
39.4 % |
Paula TRAVERSO LEBRON |
FEXME |
1004.06 |
42 % |
33.5 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
999.00 |
41.3 % |
32.9 % |
Sofía PEÑA PÉREZ |
FMM |
998.50 |
49.7 % |
38 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
997.60 |
49.6 % |
37.9 % |
Irati ZABALA MUXIKA |
EMF-FVM |
995.45 |
44.6 % |
32.4 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Elna ROTGÉS CASELLAS |
FEEC |
987.30 |
56.4 % |
36.9 % |
Natalia PÉREZ VALLE |
FMM |
986.13 |
47.9 % |
36.4 % |
Libe CASTILLO EGUREN |
EMF-FVM |
984.02 |
55.9 % |
36.4 % |
Naroa MORALES ALMAZAN |
FNDME |
980.61 |
55.4 % |
36 % |
Gaia POLINI MARTÍNEZ |
FEEC |
980.34 |
55.4 % |
35.9 % |
Amaya DEL POZO CARRION |
FMM |
978.59 |
38.5 % |
30.3 % |
Amalia GARCÍA-COSIO ROMAGOSA |
FBME |
978.38 |
55.1 % |
35.7 % |
Malena ECHALAR CÁRDENAS |
FAM |
978.38 |
55.1 % |
35.7 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Marina REVERT LLOMPART |
FBME |
976.12 |
38.2 % |
30 % |
Elba VERGÉS SOLÉ |
FEEC |
975.69 |
54.7 % |
35.3 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
974.27 |
50.8 % |
33.9 % |
Marta RIVERA GALLERA |
FMM |
974.13 |
54.5 % |
35.1 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Antia FREITAS RIAL |
FEXME |
971.50 |
37.5 % |
29.5 % |
Andrea HERREROS BELMAR |
FDMCLM |
970.85 |
54 % |
34.7 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Claudia LARA PINILLOS |
FADMES |
969.65 |
40.9 % |
32.9 % |
Nerea PÉREZ PEREA |
FMM |
968.80 |
50 % |
33.2 % |
Alejandra MUÑOZ RODRÍGUEZ |
FADMES |
967.65 |
53.6 % |
34.3 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
967.19 |
40.7 % |
28.9 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Irati ASO ESAIN |
FNDME |
964.05 |
53.1 % |
33.8 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
963.65 |
36.5 % |
28.5 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Aitana PICÓ I LÓPEZ |
FEMECV |
961.88 |
36.3 % |
28.3 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Silvia FAYOS LOZADA |
FEMECV |
948.56 |
34.5 % |
26.8 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
944.05 |
50.2 % |
31.3 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
943.93 |
37.5 % |
26.2 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
942.75 |
50 % |
31.1 % |
Haizea OSES SAIZ |
EMF-FVM |
942.34 |
37.3 % |
26.1 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
937.65 |
49.3 % |
30.5 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
936.67 |
45.4 % |
29.3 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
925.55 |
47.5 % |
29 % |
Paula HUERGO MIYAR |
FEMPA |
924.62 |
47.4 % |
28.9 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
Alba MARTÍNEZ LLARÍA |
FMM |
903.25 |
44.3 % |
26.5 % |
Lara PRIDA SEOANE |
FEGAMON |
897.86 |
43.6 % |
25.9 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
892.56 |
27.6 % |
21 % |
Jordana PEREZ GRANELL |
FEMECV |
887.17 |
38.5 % |
23.7 % |
María FEO MIGUELA |
FNDME |
886.26 |
26.9 % |
20.4 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
884.00 |
29.8 % |
20.1 % |
Maria SANTOS GONZÁLEZ |
FEXME |
883.37 |
41.5 % |
24.3 % |
Elena CARAMES GONZALEZ |
FEMPA |
879.50 |
33.3 % |
23.6 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
869.47 |
39.6 % |
22.9 % |
Lucia LORES REY |
FEGAMON |
859.80 |
38.3 % |
21.9 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
804.94 |
18.7 % |
13.8 % |
Elo April-Abs 2024
-Competitors = r
-
Geila MACIÀ MARTÍN |
FEEC |
1209.55 |
1 |
1239.91 |
71.8 % |
62.5 % |
Rebeca PEREZ DUATO |
FAM |
1123.10 |
2 |
1150.88 |
60.4 % |
50 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1188.20 |
3 |
1213.25 |
68.6 % |
58.9 % |
Júlia BENACH ZUBERO |
FEEC |
1201.96 |
4 |
1224.96 |
70 % |
60.5 % |
Miriam DIEZ LUENGO |
FMM |
1052.12 |
5 |
1072.82 |
49.3 % |
39 % |
Emily Charlotte PESCETTO BUDDEN |
FEEC |
1107.66 |
6 |
1126.04 |
57 % |
46.4 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1116.83 |
7 |
1132.33 |
57.8 % |
47.3 % |
Paula TRAVERSO LEBRON |
FEXME |
1004.06 |
8 |
1017.59 |
41.5 % |
31.7 % |
Isis SANZ PÉREZ |
FAM |
1000.00 |
9 |
1011.36 |
40.6 % |
30.9 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1069.06 |
10 |
1077.38 |
50 % |
39.6 % |
Maria PAREDES RAMOS |
FEXME |
1059.89 |
11 |
1065.79 |
48.3 % |
38 % |
Laia TAULATS MCDONALD |
FAM-AND |
1206.17 |
12 |
1209.00 |
68.1 % |
58.3 % |
India PERSSON FERNÁNDEZ |
FADMES |
1128.03 |
13 |
1128.71 |
57.3 % |
46.8 % |
Martina MUÑIZ VALENCIA |
FMM |
1072.80 |
14 |
1071.26 |
49.1 % |
38.7 % |
Rut MONSECH GASCA |
FEEC |
1105.93 |
15 |
1101.78 |
53.5 % |
43 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1180.83 |
16 |
1173.91 |
63.5 % |
53.3 % |
Erika CARRASCO AGUILA |
FMM |
1125.17 |
17 |
1116.02 |
55.5 % |
45 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
974.27 |
18 |
963.31 |
34.1 % |
25.4 % |
María FEO MIGUELA |
FNDME |
886.26 |
19 |
873.16 |
23.6 % |
16.8 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1080.79 |
20 |
1064.45 |
48.1 % |
37.8 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
999.00 |
21 |
980.55 |
36.4 % |
27.3 % |
Idoia MARTÍNEZ IRISARRI |
EMF-FVM |
1000.00 |
22 |
979.36 |
36.3 % |
27.1 % |
Aitana PICÓ I LÓPEZ |
FEMECV |
961.88 |
23 |
938.66 |
31 % |
22.8 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
892.56 |
24 |
867.13 |
23 % |
16.3 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
936.67 |
24 |
911.08 |
27.7 % |
20.1 % |
Nerea PÉREZ PEREA |
FMM |
968.80 |
24 |
943.09 |
31.6 % |
23.2 % |
Sara SAMANIEGO PAMIES |
FEEC |
1000.00 |
24 |
974.43 |
35.6 % |
26.6 % |
#####_ Elo History _
Elo Accumulated April-Abs_2024
Geila MACIÀ MARTÍN |
FEEC |
1239.91 |
71.8 % |
62.5 % |
Júlia BENACH ZUBERO |
FEEC |
1224.96 |
70 % |
60.5 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1213.25 |
68.6 % |
58.9 % |
Laia TAULATS MCDONALD |
FAM-AND |
1209.00 |
68.1 % |
58.3 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1173.91 |
63.5 % |
53.3 % |
Rebeca PEREZ DUATO |
FAM |
1150.88 |
60.4 % |
50 % |
Aida TORRES ILLAMOLA |
FEEC |
1150.00 |
62.7 % |
53.9 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1132.33 |
57.8 % |
47.3 % |
India PERSSON FERNÁNDEZ |
FADMES |
1128.71 |
57.3 % |
46.8 % |
Emily Charlotte PESCETTO BUDDEN |
FEEC |
1126.04 |
57 % |
46.4 % |
Erika CARRASCO AGUILA |
FMM |
1116.02 |
55.5 % |
45 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1107.94 |
72.1 % |
53.9 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1104.85 |
64.6 % |
53.1 % |
Rut MONSECH GASCA |
FEEC |
1101.78 |
53.5 % |
43 % |
Mar CARREÑO ESCOBAR |
FADMES |
1097.03 |
67.7 % |
51 % |
Maria FARRÉ PRIM |
FEEC |
1094.33 |
70.5 % |
51.9 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1086.30 |
57.6 % |
44.7 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1077.38 |
50 % |
39.6 % |
Miriam DIEZ LUENGO |
FMM |
1072.82 |
49.3 % |
39 % |
Lucia MIRANDA CID |
FEEC |
1072.49 |
51.8 % |
42.8 % |
Martina MUÑIZ VALENCIA |
FMM |
1071.26 |
49.1 % |
38.7 % |
Maria PAREDES RAMOS |
FEXME |
1065.79 |
48.3 % |
38 % |
Maite VILA LÓPEZ |
FEXME |
1064.86 |
66.9 % |
47.7 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1064.45 |
48.1 % |
37.8 % |
Vera BRIONGOS MARTÍN |
FEXME |
1063.39 |
54.3 % |
45.7 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1057.33 |
65.9 % |
46.6 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1052.01 |
65.2 % |
45.9 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCLM |
1046.53 |
64.5 % |
45.1 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Meia LEÓN VILCHES |
FEXME |
1021.77 |
61.2 % |
41.6 % |
Paula TRAVERSO LEBRON |
FEXME |
1017.59 |
41.5 % |
31.7 % |
Hirune JACOBS HAMMU |
FECAMON |
1016.02 |
60.4 % |
40.8 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Isis SANZ PÉREZ |
FAM |
1011.36 |
40.6 % |
30.9 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1008.41 |
51.2 % |
39.4 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Sofía PEÑA PÉREZ |
FMM |
998.50 |
49.7 % |
38 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
997.60 |
49.6 % |
37.9 % |
Irati ZABALA MUXIKA |
EMF-FVM |
995.45 |
44.6 % |
32.4 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Elna ROTGÉS CASELLAS |
FEEC |
987.30 |
56.4 % |
36.9 % |
Natalia PÉREZ VALLE |
FMM |
986.13 |
47.9 % |
36.4 % |
Libe CASTILLO EGUREN |
EMF-FVM |
984.02 |
55.9 % |
36.4 % |
Naroa MORALES ALMAZAN |
FNDME |
980.61 |
55.4 % |
36 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
980.55 |
36.4 % |
27.3 % |
Gaia POLINI MARTÍNEZ |
FEEC |
980.34 |
55.4 % |
35.9 % |
Idoia MARTÍNEZ IRISARRI |
EMF-FVM |
979.36 |
36.3 % |
27.1 % |
Amaya DEL POZO CARRION |
FMM |
978.59 |
38.5 % |
30.3 % |
Amalia GARCÍA-COSIO ROMAGOSA |
FBME |
978.38 |
55.1 % |
35.7 % |
Malena ECHALAR CÁRDENAS |
FAM |
978.38 |
55.1 % |
35.7 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Marina REVERT LLOMPART |
FBME |
976.12 |
38.2 % |
30 % |
Elba VERGÉS SOLÉ |
FEEC |
975.69 |
54.7 % |
35.3 % |
Sara SAMANIEGO PAMIES |
FEEC |
974.43 |
35.6 % |
26.6 % |
Marta RIVERA GALLERA |
FMM |
974.13 |
54.5 % |
35.1 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Antia FREITAS RIAL |
FEXME |
971.50 |
37.5 % |
29.5 % |
Andrea HERREROS BELMAR |
FDMCLM |
970.85 |
54 % |
34.7 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Claudia LARA PINILLOS |
FADMES |
969.65 |
40.9 % |
32.9 % |
Alejandra MUÑOZ RODRÍGUEZ |
FADMES |
967.65 |
53.6 % |
34.3 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
967.19 |
40.7 % |
28.9 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Irati ASO ESAIN |
FNDME |
964.05 |
53.1 % |
33.8 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
963.65 |
36.5 % |
28.5 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
963.31 |
34.1 % |
25.4 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Silvia FAYOS LOZADA |
FEMECV |
948.56 |
34.5 % |
26.8 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
944.05 |
50.2 % |
31.3 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
943.93 |
37.5 % |
26.2 % |
Nerea PÉREZ PEREA |
FMM |
943.09 |
31.6 % |
23.2 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
942.75 |
50 % |
31.1 % |
Haizea OSES SAIZ |
EMF-FVM |
942.34 |
37.3 % |
26.1 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Aitana PICÓ I LÓPEZ |
FEMECV |
938.66 |
31 % |
22.8 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
937.65 |
49.3 % |
30.5 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
925.55 |
47.5 % |
29 % |
Paula HUERGO MIYAR |
FEMPA |
924.62 |
47.4 % |
28.9 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
911.08 |
27.7 % |
20.1 % |
Alba MARTÍNEZ LLARÍA |
FMM |
903.25 |
44.3 % |
26.5 % |
Lara PRIDA SEOANE |
FEGAMON |
897.86 |
43.6 % |
25.9 % |
Jordana PEREZ GRANELL |
FEMECV |
887.17 |
38.5 % |
23.7 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
884.00 |
29.8 % |
20.1 % |
Maria SANTOS GONZÁLEZ |
FEXME |
883.37 |
41.5 % |
24.3 % |
Elena CARAMES GONZALEZ |
FEMPA |
879.50 |
33.3 % |
23.6 % |
María FEO MIGUELA |
FNDME |
873.16 |
23.6 % |
16.8 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
869.47 |
39.6 % |
22.9 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
867.13 |
23 % |
16.3 % |
Lucia LORES REY |
FEGAMON |
859.80 |
38.3 % |
21.9 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
804.94 |
18.7 % |
13.8 % |
Elo June 2024
-Competitors = r
-
Laia TAULATS MCDONALD |
FAM-AND |
1209.00 |
1 |
1239.09 |
72.2 % |
63.9 % |
Erika CARRASCO AGUILA |
FMM |
1116.02 |
2 |
1144.00 |
60 % |
50.6 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1173.91 |
3 |
1199.35 |
67.3 % |
58.5 % |
Maria FARRÉ PRIM |
FEEC |
1094.33 |
4 |
1117.64 |
56.3 % |
46.8 % |
Martina MUÑIZ VALENCIA |
FMM |
1071.26 |
5 |
1092.27 |
52.7 % |
43.2 % |
Meia LEÓN VILCHES |
FEXME |
1021.77 |
6 |
1040.58 |
45.3 % |
36.1 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1057.33 |
7 |
1073.65 |
50 % |
40.6 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
937.65 |
8 |
952.02 |
33.2 % |
25.3 % |
India PERSSON FERNÁNDEZ |
FADMES |
1128.71 |
9 |
1140.06 |
59.4 % |
50 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1064.45 |
10 |
1073.63 |
50 % |
40.6 % |
Marta RIVERA GALLERA |
FMM |
974.13 |
11 |
981.26 |
37 % |
28.6 % |
Amalia GARCÍA-COSIO ROMAGOSA |
FBME |
978.38 |
12 |
983.12 |
37.3 % |
28.8 % |
Libe CASTILLO EGUREN |
EMF-FVM |
984.02 |
13 |
986.37 |
37.7 % |
29.2 % |
Maite VILA LÓPEZ |
FEXME |
1064.86 |
14 |
1064.56 |
48.7 % |
39.3 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCLM |
1046.53 |
15 |
1043.92 |
45.7 % |
36.5 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1107.94 |
15 |
1105.13 |
54.5 % |
45 % |
Alejandra MUÑOZ RODRÍGUEZ |
FADMES |
967.65 |
17 |
960.58 |
34.3 % |
26.2 % |
Lucia LORES REY |
FEGAMON |
859.80 |
18 |
850.72 |
21.7 % |
15.9 % |
Naroa MORALES ALMAZAN |
FNDME |
980.61 |
19 |
968.75 |
35.3 % |
27.2 % |
Alba MARTÍNEZ LLARÍA |
FMM |
903.25 |
20 |
889.29 |
25.7 % |
19.1 % |
Malena ECHALAR CÁRDENAS |
FAM |
978.38 |
21 |
961.79 |
34.4 % |
26.4 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
942.75 |
22 |
923.91 |
29.7 % |
22.4 % |
Elba VERGÉS SOLÉ |
FEEC |
975.69 |
22 |
956.74 |
33.8 % |
25.8 % |
Irati ASO ESAIN |
FNDME |
964.05 |
22 |
945.14 |
32.3 % |
24.6 % |
Maria SANTOS GONZÁLEZ |
FEXME |
883.37 |
22 |
864.73 |
23.1 % |
17 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
869.47 |
22 |
850.88 |
21.7 % |
15.9 % |
Ainhoa GARCÍA SANTOS |
FMM |
1000.00 |
22 |
981.05 |
37 % |
28.6 % |
Maia LEDESMA PRUNES |
FBME |
1000.00 |
22 |
981.05 |
37 % |
28.6 % |
#####_ Elo History _
Elo Accumulated June_2024
Geila MACIÀ MARTÍN |
FEEC |
1239.91 |
71.8 % |
62.5 % |
Laia TAULATS MCDONALD |
FAM-AND |
1239.09 |
72.2 % |
63.9 % |
Júlia BENACH ZUBERO |
FEEC |
1224.96 |
70 % |
60.5 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1213.25 |
68.6 % |
58.9 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1199.35 |
67.3 % |
58.5 % |
Rebeca PEREZ DUATO |
FAM |
1150.88 |
60.4 % |
50 % |
Aida TORRES ILLAMOLA |
FEEC |
1150.00 |
62.7 % |
53.9 % |
Erika CARRASCO AGUILA |
FMM |
1144.00 |
60 % |
50.6 % |
India PERSSON FERNÁNDEZ |
FADMES |
1140.06 |
59.4 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1132.33 |
57.8 % |
47.3 % |
Emily Charlotte PESCETTO BUDDEN |
FEEC |
1126.04 |
57 % |
46.4 % |
Maria FARRÉ PRIM |
FEEC |
1117.64 |
56.3 % |
46.8 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1105.13 |
54.5 % |
45 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1104.85 |
64.6 % |
53.1 % |
Rut MONSECH GASCA |
FEEC |
1101.78 |
53.5 % |
43 % |
Mar CARREÑO ESCOBAR |
FADMES |
1097.03 |
67.7 % |
51 % |
Martina MUÑIZ VALENCIA |
FMM |
1092.27 |
52.7 % |
43.2 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1086.30 |
57.6 % |
44.7 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1077.38 |
50 % |
39.6 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1073.65 |
50 % |
40.6 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1073.63 |
50 % |
40.6 % |
Miriam DIEZ LUENGO |
FMM |
1072.82 |
49.3 % |
39 % |
Lucia MIRANDA CID |
FEEC |
1072.49 |
51.8 % |
42.8 % |
Maria PAREDES RAMOS |
FEXME |
1065.79 |
48.3 % |
38 % |
Maite VILA LÓPEZ |
FEXME |
1064.56 |
48.7 % |
39.3 % |
Vera BRIONGOS MARTÍN |
FEXME |
1063.39 |
54.3 % |
45.7 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1052.01 |
65.2 % |
45.9 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCLM |
1043.92 |
45.7 % |
36.5 % |
Meia LEÓN VILCHES |
FEXME |
1040.58 |
45.3 % |
36.1 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Paula TRAVERSO LEBRON |
FEXME |
1017.59 |
41.5 % |
31.7 % |
Hirune JACOBS HAMMU |
FECAMON |
1016.02 |
60.4 % |
40.8 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Isis SANZ PÉREZ |
FAM |
1011.36 |
40.6 % |
30.9 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1008.41 |
51.2 % |
39.4 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Sofía PEÑA PÉREZ |
FMM |
998.50 |
49.7 % |
38 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
997.60 |
49.6 % |
37.9 % |
Irati ZABALA MUXIKA |
EMF-FVM |
995.45 |
44.6 % |
32.4 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Elna ROTGÉS CASELLAS |
FEEC |
987.30 |
56.4 % |
36.9 % |
Libe CASTILLO EGUREN |
EMF-FVM |
986.37 |
37.7 % |
29.2 % |
Natalia PÉREZ VALLE |
FMM |
986.13 |
47.9 % |
36.4 % |
Amalia GARCÍA-COSIO ROMAGOSA |
FBME |
983.12 |
37.3 % |
28.8 % |
Marta RIVERA GALLERA |
FMM |
981.26 |
37 % |
28.6 % |
Ainhoa GARCÍA SANTOS |
FMM |
981.05 |
37 % |
28.6 % |
Maia LEDESMA PRUNES |
FBME |
981.05 |
37 % |
28.6 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
980.55 |
36.4 % |
27.3 % |
Gaia POLINI MARTÍNEZ |
FEEC |
980.34 |
55.4 % |
35.9 % |
Idoia MARTÍNEZ IRISARRI |
EMF-FVM |
979.36 |
36.3 % |
27.1 % |
Amaya DEL POZO CARRION |
FMM |
978.59 |
38.5 % |
30.3 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Marina REVERT LLOMPART |
FBME |
976.12 |
38.2 % |
30 % |
Sara SAMANIEGO PAMIES |
FEEC |
974.43 |
35.6 % |
26.6 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Antia FREITAS RIAL |
FEXME |
971.50 |
37.5 % |
29.5 % |
Andrea HERREROS BELMAR |
FDMCLM |
970.85 |
54 % |
34.7 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Claudia LARA PINILLOS |
FADMES |
969.65 |
40.9 % |
32.9 % |
Naroa MORALES ALMAZAN |
FNDME |
968.75 |
35.3 % |
27.2 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
967.19 |
40.7 % |
28.9 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
963.65 |
36.5 % |
28.5 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
963.31 |
34.1 % |
25.4 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Malena ECHALAR CÁRDENAS |
FAM |
961.79 |
34.4 % |
26.4 % |
Alejandra MUÑOZ RODRÍGUEZ |
FADMES |
960.58 |
34.3 % |
26.2 % |
Elba VERGÉS SOLÉ |
FEEC |
956.74 |
33.8 % |
25.8 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
952.02 |
33.2 % |
25.3 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Silvia FAYOS LOZADA |
FEMECV |
948.56 |
34.5 % |
26.8 % |
Irati ASO ESAIN |
FNDME |
945.14 |
32.3 % |
24.6 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
944.05 |
50.2 % |
31.3 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
943.93 |
37.5 % |
26.2 % |
Nerea PÉREZ PEREA |
FMM |
943.09 |
31.6 % |
23.2 % |
Haizea OSES SAIZ |
EMF-FVM |
942.34 |
37.3 % |
26.1 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Aitana PICÓ I LÓPEZ |
FEMECV |
938.66 |
31 % |
22.8 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
925.55 |
47.5 % |
29 % |
Paula HUERGO MIYAR |
FEMPA |
924.62 |
47.4 % |
28.9 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
923.91 |
29.7 % |
22.4 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
911.08 |
27.7 % |
20.1 % |
Lara PRIDA SEOANE |
FEGAMON |
897.86 |
43.6 % |
25.9 % |
Alba MARTÍNEZ LLARÍA |
FMM |
889.29 |
25.7 % |
19.1 % |
Jordana PEREZ GRANELL |
FEMECV |
887.17 |
38.5 % |
23.7 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
884.00 |
29.8 % |
20.1 % |
Elena CARAMES GONZALEZ |
FEMPA |
879.50 |
33.3 % |
23.6 % |
María FEO MIGUELA |
FNDME |
873.16 |
23.6 % |
16.8 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
867.13 |
23 % |
16.3 % |
Maria SANTOS GONZÁLEZ |
FEXME |
864.73 |
23.1 % |
17 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
850.88 |
21.7 % |
15.9 % |
Lucia LORES REY |
FEGAMON |
850.72 |
21.7 % |
15.9 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
804.94 |
18.7 % |
13.8 % |
Elo June-Abs 2024
-Competitors = r
-
Júlia BENACH ZUBERO |
FEEC |
1224.96 |
1 |
1254.63 |
67.9 % |
61.4 % |
Paula TRAVERSO LEBRON |
FEXME |
1017.59 |
2 |
1044.86 |
38.8 % |
32.2 % |
Rebeca PEREZ DUATO |
FAM |
1150.88 |
3 |
1174.14 |
57.1 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1132.33 |
4 |
1152.31 |
54 % |
46.9 % |
Maria PAREDES RAMOS |
FEXME |
1065.79 |
5 |
1082.72 |
44.1 % |
37.1 % |
Emily Charlotte PESCETTO BUDDEN |
FEEC |
1126.04 |
6 |
1139.31 |
52.2 % |
45 % |
Laia TAULATS MCDONALD |
FAM-AND |
1239.09 |
7 |
1248.49 |
67.2 % |
60.5 % |
Maria FARRÉ PRIM |
FEEC |
1117.64 |
8 |
1124.22 |
50 % |
42.9 % |
Miriam DIEZ LUENGO |
FMM |
1072.82 |
9 |
1076.25 |
43.1 % |
36.3 % |
India PERSSON FERNÁNDEZ |
FADMES |
1140.06 |
10 |
1139.79 |
52.2 % |
45.1 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1077.38 |
11 |
1074.05 |
42.8 % |
36 % |
Martina MUÑIZ VALENCIA |
FMM |
1092.27 |
12 |
1085.50 |
44.5 % |
37.5 % |
Erika CARRASCO AGUILA |
FMM |
1144.00 |
13 |
1133.61 |
51.4 % |
44.2 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1199.35 |
14 |
1185.34 |
58.7 % |
51.6 % |
Idoia MARTÍNEZ IRISARRI |
EMF-FVM |
979.36 |
15 |
963.01 |
28.3 % |
22.9 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
980.55 |
16 |
960.83 |
28.1 % |
22.7 % |
Isis SANZ PÉREZ |
FAM |
1011.36 |
17 |
988.13 |
31.4 % |
25.5 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1073.63 |
18 |
1046.74 |
39 % |
32.4 % |
María FEO MIGUELA |
FNDME |
873.16 |
18 |
847.13 |
16.9 % |
13.2 % |
Elena POLLÁN GONZÁLEZ |
FBME |
1000.00 |
20 |
966.78 |
28.8 % |
23.3 % |
#####_ Elo History _
Elo Accumulated June-Abs_2024
Júlia BENACH ZUBERO |
FEEC |
1254.63 |
67.9 % |
61.4 % |
Laia TAULATS MCDONALD |
FAM-AND |
1248.49 |
67.2 % |
60.5 % |
Geila MACIÀ MARTÍN |
FEEC |
1239.91 |
71.8 % |
62.5 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1213.25 |
68.6 % |
58.9 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1185.34 |
58.7 % |
51.6 % |
Rebeca PEREZ DUATO |
FAM |
1174.14 |
57.1 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1152.31 |
54 % |
46.9 % |
Aida TORRES ILLAMOLA |
FEEC |
1150.00 |
62.7 % |
53.9 % |
India PERSSON FERNÁNDEZ |
FADMES |
1139.79 |
52.2 % |
45.1 % |
Emily Charlotte PESCETTO BUDDEN |
FEEC |
1139.31 |
52.2 % |
45 % |
Erika CARRASCO AGUILA |
FMM |
1133.61 |
51.4 % |
44.2 % |
Maria FARRÉ PRIM |
FEEC |
1124.22 |
50 % |
42.9 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1105.13 |
54.5 % |
45 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1104.85 |
64.6 % |
53.1 % |
Rut MONSECH GASCA |
FEEC |
1101.78 |
53.5 % |
43 % |
Mar CARREÑO ESCOBAR |
FADMES |
1097.03 |
67.7 % |
51 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1086.30 |
57.6 % |
44.7 % |
Martina MUÑIZ VALENCIA |
FMM |
1085.50 |
44.5 % |
37.5 % |
Maria PAREDES RAMOS |
FEXME |
1082.72 |
44.1 % |
37.1 % |
Miriam DIEZ LUENGO |
FMM |
1076.25 |
43.1 % |
36.3 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1074.05 |
42.8 % |
36 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1073.65 |
50 % |
40.6 % |
Lucia MIRANDA CID |
FEEC |
1072.49 |
51.8 % |
42.8 % |
Maite VILA LÓPEZ |
FEXME |
1064.56 |
48.7 % |
39.3 % |
Vera BRIONGOS MARTÍN |
FEXME |
1063.39 |
54.3 % |
45.7 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1052.01 |
65.2 % |
45.9 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1046.74 |
39 % |
32.4 % |
Paula TRAVERSO LEBRON |
FEXME |
1044.86 |
38.8 % |
32.2 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCLM |
1043.92 |
45.7 % |
36.5 % |
Meia LEÓN VILCHES |
FEXME |
1040.58 |
45.3 % |
36.1 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Hirune JACOBS HAMMU |
FECAMON |
1016.02 |
60.4 % |
40.8 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1008.41 |
51.2 % |
39.4 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Sofía PEÑA PÉREZ |
FMM |
998.50 |
49.7 % |
38 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
997.60 |
49.6 % |
37.9 % |
Irati ZABALA MUXIKA |
EMF-FVM |
995.45 |
44.6 % |
32.4 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Isis SANZ PÉREZ |
FAM |
988.13 |
31.4 % |
25.5 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Elna ROTGÉS CASELLAS |
FEEC |
987.30 |
56.4 % |
36.9 % |
Libe CASTILLO EGUREN |
EMF-FVM |
986.37 |
37.7 % |
29.2 % |
Natalia PÉREZ VALLE |
FMM |
986.13 |
47.9 % |
36.4 % |
Amalia GARCÍA-COSIO ROMAGOSA |
FBME |
983.12 |
37.3 % |
28.8 % |
Marta RIVERA GALLERA |
FMM |
981.26 |
37 % |
28.6 % |
Ainhoa GARCÍA SANTOS |
FMM |
981.05 |
37 % |
28.6 % |
Maia LEDESMA PRUNES |
FBME |
981.05 |
37 % |
28.6 % |
Gaia POLINI MARTÍNEZ |
FEEC |
980.34 |
55.4 % |
35.9 % |
Amaya DEL POZO CARRION |
FMM |
978.59 |
38.5 % |
30.3 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Marina REVERT LLOMPART |
FBME |
976.12 |
38.2 % |
30 % |
Sara SAMANIEGO PAMIES |
FEEC |
974.43 |
35.6 % |
26.6 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Antia FREITAS RIAL |
FEXME |
971.50 |
37.5 % |
29.5 % |
Andrea HERREROS BELMAR |
FDMCLM |
970.85 |
54 % |
34.7 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Claudia LARA PINILLOS |
FADMES |
969.65 |
40.9 % |
32.9 % |
Naroa MORALES ALMAZAN |
FNDME |
968.75 |
35.3 % |
27.2 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
967.19 |
40.7 % |
28.9 % |
Elena POLLÁN GONZÁLEZ |
FBME |
966.78 |
28.8 % |
23.3 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
963.65 |
36.5 % |
28.5 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
963.31 |
34.1 % |
25.4 % |
Idoia MARTÍNEZ IRISARRI |
EMF-FVM |
963.01 |
28.3 % |
22.9 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Malena ECHALAR CÁRDENAS |
FAM |
961.79 |
34.4 % |
26.4 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
960.83 |
28.1 % |
22.7 % |
Alejandra MUÑOZ RODRÍGUEZ |
FADMES |
960.58 |
34.3 % |
26.2 % |
Elba VERGÉS SOLÉ |
FEEC |
956.74 |
33.8 % |
25.8 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
952.02 |
33.2 % |
25.3 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Silvia FAYOS LOZADA |
FEMECV |
948.56 |
34.5 % |
26.8 % |
Irati ASO ESAIN |
FNDME |
945.14 |
32.3 % |
24.6 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
944.05 |
50.2 % |
31.3 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
943.93 |
37.5 % |
26.2 % |
Nerea PÉREZ PEREA |
FMM |
943.09 |
31.6 % |
23.2 % |
Haizea OSES SAIZ |
EMF-FVM |
942.34 |
37.3 % |
26.1 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Aitana PICÓ I LÓPEZ |
FEMECV |
938.66 |
31 % |
22.8 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
925.55 |
47.5 % |
29 % |
Paula HUERGO MIYAR |
FEMPA |
924.62 |
47.4 % |
28.9 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
923.91 |
29.7 % |
22.4 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
911.08 |
27.7 % |
20.1 % |
Lara PRIDA SEOANE |
FEGAMON |
897.86 |
43.6 % |
25.9 % |
Alba MARTÍNEZ LLARÍA |
FMM |
889.29 |
25.7 % |
19.1 % |
Jordana PEREZ GRANELL |
FEMECV |
887.17 |
38.5 % |
23.7 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
884.00 |
29.8 % |
20.1 % |
Elena CARAMES GONZALEZ |
FEMPA |
879.50 |
33.3 % |
23.6 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
867.13 |
23 % |
16.3 % |
Maria SANTOS GONZÁLEZ |
FEXME |
864.73 |
23.1 % |
17 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
850.88 |
21.7 % |
15.9 % |
Lucia LORES REY |
FEGAMON |
850.72 |
21.7 % |
15.9 % |
María FEO MIGUELA |
FNDME |
847.13 |
16.9 % |
13.2 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
804.94 |
18.7 % |
13.8 % |
Elo Nov 2024
-Competitors = r
-
Maria FARRÉ PRIM |
FEEC |
1124.22 |
1 |
1154.57 |
62.2 % |
50 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1185.34 |
2 |
1213.05 |
69.7 % |
58.3 % |
Erika CARRASCO AGUILA |
FMM |
1133.61 |
3 |
1159.00 |
62.8 % |
50.6 % |
Laia TAULATS MCDONALD |
FAM-AND |
1248.49 |
4 |
1271.12 |
76.3 % |
66.2 % |
Martina MUÑIZ VALENCIA |
FMM |
1085.50 |
5 |
1106.13 |
55.5 % |
43.1 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1073.65 |
6 |
1091.85 |
53.4 % |
41.1 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1105.13 |
7 |
1120.77 |
57.5 % |
45.2 % |
India PERSSON FERNÁNDEZ |
FADMES |
1139.79 |
8 |
1152.86 |
62 % |
49.8 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1046.74 |
9 |
1057.65 |
48.5 % |
36.4 % |
Hirune JACOBS HAMMU |
FECAMON |
1016.02 |
10 |
1024.58 |
43.8 % |
32.1 % |
Libe CASTILLO EGUREN |
EMF-FVM |
986.37 |
11 |
992.57 |
39.3 % |
28.2 % |
Maite VILA LÓPEZ |
FEXME |
1064.56 |
12 |
1068.03 |
50 % |
37.8 % |
Meia LEÓN VILCHES |
FEXME |
1040.58 |
13 |
1041.67 |
46.2 % |
34.3 % |
Elba VERGÉS SOLÉ |
FEEC |
956.74 |
14 |
955.66 |
34.4 % |
24.1 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
952.02 |
15 |
948.50 |
33.4 % |
23.4 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCLM |
1043.92 |
16 |
1037.61 |
45.6 % |
33.8 % |
Irati ASO ESAIN |
FNDME |
945.14 |
17 |
936.72 |
32 % |
22.2 % |
Maria SANTOS GONZÁLEZ |
FEXME |
864.73 |
18 |
854.11 |
22.6 % |
15.1 % |
Marta RIVERA GALLERA |
FMM |
981.26 |
19 |
967.79 |
36 % |
25.4 % |
Amalia GARCÍA-COSIO ROMAGOSA |
FBME |
983.12 |
20 |
967.18 |
35.9 % |
25.4 % |
Alejandra MUÑOZ RODRÍGUEZ |
FADMES |
960.58 |
21 |
942.26 |
32.7 % |
22.8 % |
Naroa MORALES ALMAZAN |
FNDME |
968.75 |
22 |
947.94 |
33.4 % |
23.3 % |
Rosa COLL ESCALAS |
FBME |
1000.00 |
22 |
979.12 |
37.5 % |
26.7 % |
Gaia POLINI MARTÍNEZ |
FEEC |
980.34 |
24 |
954.56 |
34.2 % |
24 % |
Elna ROTGÉS CASELLAS |
FEEC |
987.30 |
25 |
959.04 |
34.8 % |
24.5 % |
Maia LEDESMA PRUNES |
FBME |
981.05 |
25 |
952.81 |
34 % |
23.8 % |
Malena ECHALAR CÁRDENAS |
FAM |
961.79 |
25 |
933.62 |
31.6 % |
21.9 % |
#####_ Elo History _
Elo in time
Elo Accumulated Nov_2024
Laia TAULATS MCDONALD |
FAM-AND |
1271.12 |
76.3 % |
66.2 % |
Júlia BENACH ZUBERO |
FEEC |
1254.63 |
67.9 % |
61.4 % |
Geila MACIÀ MARTÍN |
FEEC |
1239.91 |
71.8 % |
62.5 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1213.25 |
68.6 % |
58.9 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1213.05 |
69.7 % |
58.3 % |
Rebeca PEREZ DUATO |
FAM |
1174.14 |
57.1 % |
50 % |
Erika CARRASCO AGUILA |
FMM |
1159.00 |
62.8 % |
50.6 % |
Maria FARRÉ PRIM |
FEEC |
1154.57 |
62.2 % |
50 % |
India PERSSON FERNÁNDEZ |
FADMES |
1152.86 |
62 % |
49.8 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1152.31 |
54 % |
46.9 % |
Aida TORRES ILLAMOLA |
FEEC |
1150.00 |
62.7 % |
53.9 % |
Emily Charlotte PESCETTO BUDDEN |
FEEC |
1139.31 |
52.2 % |
45 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1120.77 |
57.5 % |
45.2 % |
Martina MUÑIZ VALENCIA |
FMM |
1106.13 |
55.5 % |
43.1 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1104.85 |
64.6 % |
53.1 % |
Rut MONSECH GASCA |
FEEC |
1101.78 |
53.5 % |
43 % |
Mar CARREÑO ESCOBAR |
FADMES |
1097.03 |
67.7 % |
51 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1091.85 |
53.4 % |
41.1 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1086.30 |
57.6 % |
44.7 % |
Maria PAREDES RAMOS |
FEXME |
1082.72 |
44.1 % |
37.1 % |
Miriam DIEZ LUENGO |
FMM |
1076.25 |
43.1 % |
36.3 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1074.05 |
42.8 % |
36 % |
Lucia MIRANDA CID |
FEEC |
1072.49 |
51.8 % |
42.8 % |
Maite VILA LÓPEZ |
FEXME |
1068.03 |
50 % |
37.8 % |
Vera BRIONGOS MARTÍN |
FEXME |
1063.39 |
54.3 % |
45.7 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1057.65 |
48.5 % |
36.4 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1052.01 |
65.2 % |
45.9 % |
Paula TRAVERSO LEBRON |
FEXME |
1044.86 |
38.8 % |
32.2 % |
Meia LEÓN VILCHES |
FEXME |
1041.67 |
46.2 % |
34.3 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCLM |
1037.61 |
45.6 % |
33.8 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Hirune JACOBS HAMMU |
FECAMON |
1024.58 |
43.8 % |
32.1 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1008.41 |
51.2 % |
39.4 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Sofía PEÑA PÉREZ |
FMM |
998.50 |
49.7 % |
38 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
997.60 |
49.6 % |
37.9 % |
Irati ZABALA MUXIKA |
EMF-FVM |
995.45 |
44.6 % |
32.4 % |
Libe CASTILLO EGUREN |
EMF-FVM |
992.57 |
39.3 % |
28.2 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Isis SANZ PÉREZ |
FAM |
988.13 |
31.4 % |
25.5 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Natalia PÉREZ VALLE |
FMM |
986.13 |
47.9 % |
36.4 % |
Ainhoa GARCÍA SANTOS |
FMM |
981.05 |
37 % |
28.6 % |
Rosa COLL ESCALAS |
FBME |
979.12 |
37.5 % |
26.7 % |
Amaya DEL POZO CARRION |
FMM |
978.59 |
38.5 % |
30.3 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Marina REVERT LLOMPART |
FBME |
976.12 |
38.2 % |
30 % |
Sara SAMANIEGO PAMIES |
FEEC |
974.43 |
35.6 % |
26.6 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Antia FREITAS RIAL |
FEXME |
971.50 |
37.5 % |
29.5 % |
Andrea HERREROS BELMAR |
FDMCLM |
970.85 |
54 % |
34.7 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Claudia LARA PINILLOS |
FADMES |
969.65 |
40.9 % |
32.9 % |
Marta RIVERA GALLERA |
FMM |
967.79 |
36 % |
25.4 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
967.19 |
40.7 % |
28.9 % |
Amalia GARCÍA-COSIO ROMAGOSA |
FBME |
967.18 |
35.9 % |
25.4 % |
Elena POLLÁN GONZÁLEZ |
FBME |
966.78 |
28.8 % |
23.3 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
45.5 % |
40.5 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
963.65 |
36.5 % |
28.5 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
963.31 |
34.1 % |
25.4 % |
Idoia MARTÍNEZ IRISARRI |
EMF-FVM |
963.01 |
28.3 % |
22.9 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
960.83 |
28.1 % |
22.7 % |
Elna ROTGÉS CASELLAS |
FEEC |
959.04 |
34.8 % |
24.5 % |
Elba VERGÉS SOLÉ |
FEEC |
955.66 |
34.4 % |
24.1 % |
Gaia POLINI MARTÍNEZ |
FEEC |
954.56 |
34.2 % |
24 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Maia LEDESMA PRUNES |
FBME |
952.81 |
34 % |
23.8 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Silvia FAYOS LOZADA |
FEMECV |
948.56 |
34.5 % |
26.8 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
948.50 |
33.4 % |
23.4 % |
Naroa MORALES ALMAZAN |
FNDME |
947.94 |
33.4 % |
23.3 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
944.05 |
50.2 % |
31.3 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
943.93 |
37.5 % |
26.2 % |
Nerea PÉREZ PEREA |
FMM |
943.09 |
31.6 % |
23.2 % |
Haizea OSES SAIZ |
EMF-FVM |
942.34 |
37.3 % |
26.1 % |
Alejandra MUÑOZ RODRÍGUEZ |
FADMES |
942.26 |
32.7 % |
22.8 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Aitana PICÓ I LÓPEZ |
FEMECV |
938.66 |
31 % |
22.8 % |
Irati ASO ESAIN |
FNDME |
936.72 |
32 % |
22.2 % |
Malena ECHALAR CÁRDENAS |
FAM |
933.62 |
31.6 % |
21.9 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
925.55 |
47.5 % |
29 % |
Paula HUERGO MIYAR |
FEMPA |
924.62 |
47.4 % |
28.9 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
923.91 |
29.7 % |
22.4 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
911.08 |
27.7 % |
20.1 % |
Lara PRIDA SEOANE |
FEGAMON |
897.86 |
43.6 % |
25.9 % |
Alba MARTÍNEZ LLARÍA |
FMM |
889.29 |
25.7 % |
19.1 % |
Jordana PEREZ GRANELL |
FEMECV |
887.17 |
38.5 % |
23.7 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
884.00 |
29.8 % |
20.1 % |
Elena CARAMES GONZALEZ |
FEMPA |
879.50 |
33.3 % |
23.6 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
867.13 |
23 % |
16.3 % |
Maria SANTOS GONZÁLEZ |
FEXME |
854.11 |
22.6 % |
15.1 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
850.88 |
21.7 % |
15.9 % |
Lucia LORES REY |
FEGAMON |
850.72 |
21.7 % |
15.9 % |
María FEO MIGUELA |
FNDME |
847.13 |
16.9 % |
13.2 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
804.94 |
18.7 % |
13.8 % |
Elo Nov-Abs 2024
-Competitors = r
-
Júlia BENACH ZUBERO |
FEEC |
1254.63 |
1 |
1284.79 |
68.2 % |
62 % |
Maria PAREDES RAMOS |
FEXME |
1082.72 |
2 |
1110.87 |
44.1 % |
37.5 % |
Rebeca PEREZ DUATO |
FAM |
1174.14 |
3 |
1199.42 |
56.8 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1152.31 |
4 |
1175.10 |
53.3 % |
46.5 % |
Paula TRAVERSO LEBRON |
FEXME |
1044.86 |
5 |
1065.46 |
37.8 % |
31.6 % |
Maria FARRÉ PRIM |
FEEC |
1154.57 |
6 |
1172.23 |
52.9 % |
46.1 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1074.05 |
7 |
1089.43 |
41.1 % |
34.7 % |
Emily Charlotte PESCETTO BUDDEN |
FEEC |
1139.31 |
8 |
1151.90 |
50 % |
43.2 % |
India PERSSON FERNÁNDEZ |
FADMES |
1152.86 |
9 |
1162.85 |
51.6 % |
44.8 % |
Silvia FAYOS LOZADA |
FEMECV |
948.56 |
10 |
956.69 |
24.5 % |
19.8 % |
Martina MUÑIZ VALENCIA |
FMM |
1106.13 |
11 |
1111.16 |
44.2 % |
37.6 % |
Laia TAULATS MCDONALD |
FAM-AND |
1271.12 |
12 |
1273.08 |
66.8 % |
60.4 % |
Meia LEÓN VILCHES |
FEXME |
1041.67 |
13 |
1041.80 |
34.7 % |
28.8 % |
Mar CARREÑO ESCOBAR |
FADMES |
1097.03 |
14 |
1094.41 |
41.8 % |
35.3 % |
Erika CARRASCO AGUILA |
FMM |
1159.00 |
15 |
1153.61 |
50.2 % |
43.4 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1213.05 |
16 |
1204.93 |
57.6 % |
50.8 % |
Idoia MARTÍNEZ IRISARRI |
EMF-FVM |
963.01 |
17 |
953.17 |
24.2 % |
19.5 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
960.83 |
18 |
948.44 |
23.7 % |
19.1 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1057.65 |
19 |
1042.37 |
34.7 % |
28.8 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
804.94 |
19 |
790.41 |
11.1 % |
8.7 % |
Isis SANZ PÉREZ |
FAM |
988.13 |
21 |
967.97 |
25.8 % |
20.9 % |
Jordana PEREZ GRANELL |
FEMECV |
887.17 |
22 |
864.76 |
16.1 % |
12.7 % |
Alejandra MUÑOZ RODRÍGUEZ |
FADMES |
942.26 |
23 |
917.13 |
20.6 % |
16.5 % |
María FEO MIGUELA |
FNDME |
847.13 |
24 |
819.71 |
12.9 % |
10.1 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
867.13 |
25 |
837.10 |
14 % |
11 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
965.52 |
25 |
935.20 |
22.3 % |
17.9 % |
#####_ Elo History _
Elo Accumulated June-Abs_2024
Júlia BENACH ZUBERO |
FEEC |
1284.79 |
68.2 % |
62 % |
Laia TAULATS MCDONALD |
FAM-AND |
1273.08 |
66.8 % |
60.4 % |
Geila MACIÀ MARTÍN |
FEEC |
1239.91 |
71.8 % |
62.5 % |
Iziar MARTÍNEZ ALMENDROS |
FDMESCyL |
1213.25 |
68.6 % |
58.9 % |
Maddi AGIRRE ZUBELDIA |
EMF-FVM |
1204.93 |
57.6 % |
50.8 % |
Rebeca PEREZ DUATO |
FAM |
1199.42 |
56.8 % |
50 % |
Lucía SEMPERE GONZÁLEZ |
FEMECV |
1175.10 |
53.3 % |
46.5 % |
Maria FARRÉ PRIM |
FEEC |
1172.23 |
52.9 % |
46.1 % |
India PERSSON FERNÁNDEZ |
FADMES |
1162.85 |
51.6 % |
44.8 % |
Erika CARRASCO AGUILA |
FMM |
1153.61 |
50.2 % |
43.4 % |
Emily Charlotte PESCETTO BUDDEN |
FEEC |
1151.90 |
50 % |
43.2 % |
Aida TORRES ILLAMOLA |
FEEC |
1150.00 |
62.7 % |
53.9 % |
Intza ELIZALDE LARRARTE |
EMF-FVM |
1120.77 |
57.5 % |
45.2 % |
Martina MUÑIZ VALENCIA |
FMM |
1111.16 |
44.2 % |
37.6 % |
Maria PAREDES RAMOS |
FEXME |
1110.87 |
44.1 % |
37.5 % |
Andrea RODRIGUEZ SALAS |
FEXME |
1104.85 |
64.6 % |
53.1 % |
Rut MONSECH GASCA |
FEEC |
1101.78 |
53.5 % |
43 % |
Mar CARREÑO ESCOBAR |
FADMES |
1094.41 |
41.8 % |
35.3 % |
Elur ARTEAGA ARZALLUS |
EMF-FVM |
1091.85 |
53.4 % |
41.1 % |
Michelle Paola MATHEUS GUILLEN |
FMM |
1089.43 |
41.1 % |
34.7 % |
Ainhize BELAR BARRUTIA |
EMF-FVM |
1086.30 |
57.6 % |
44.7 % |
Miriam DIEZ LUENGO |
FMM |
1076.25 |
43.1 % |
36.3 % |
Lucia MIRANDA CID |
FEEC |
1072.49 |
51.8 % |
42.8 % |
Maite VILA LÓPEZ |
FEXME |
1068.03 |
50 % |
37.8 % |
Paula TRAVERSO LEBRON |
FEXME |
1065.46 |
37.8 % |
31.6 % |
Vera BRIONGOS MARTÍN |
FEXME |
1063.39 |
54.3 % |
45.7 % |
Kanae Maria FRAILE ITAGAKI |
FECAMON |
1052.01 |
65.2 % |
45.9 % |
Ainhoa USKOLA SAENZ DE OGER |
EMF-FVM |
1042.37 |
34.7 % |
28.8 % |
Meia LEÓN VILCHES |
FEXME |
1041.80 |
34.7 % |
28.8 % |
Carmen SÁNCHEZ JIMENEZ |
FDMCLM |
1037.61 |
45.6 % |
33.8 % |
Irati GUENETXEA BENGOA |
EMF-FVM |
1034.93 |
48.1 % |
43.6 % |
Maria BENACH ZUBERO |
FEEC |
1024.85 |
54.7 % |
50 % |
Hirune JACOBS HAMMU |
FECAMON |
1024.58 |
43.8 % |
32.1 % |
Nora STAURSET HOVDE |
FEMECV |
1012.93 |
52.5 % |
49.4 % |
Brisa CALDERON BRUÑUEL |
FEMECV |
1008.41 |
51.2 % |
39.4 % |
Aitana NAVARIDAS MARTIN |
FNDME |
1000.89 |
50.1 % |
42.3 % |
Sofía PEÑA PÉREZ |
FMM |
998.50 |
49.7 % |
38 % |
Candela SEPÚLVEDA FERRÍS |
FEMECV |
997.60 |
49.6 % |
37.9 % |
Irati ZABALA MUXIKA |
EMF-FVM |
995.45 |
44.6 % |
32.4 % |
Libe CASTILLO EGUREN |
EMF-FVM |
992.57 |
39.3 % |
28.2 % |
Aitziber URRUTIA BARRUETA |
EMF-FVM |
991.93 |
50 % |
45.3 % |
Candela GARCIA VALLINA |
FEMPA |
990.79 |
49.1 % |
44 % |
Julia PACHECO PORRAS |
FDMCM |
990.17 |
60.8 % |
50 % |
Rocío LEAL ABAD |
FMRM |
987.33 |
47.4 % |
40.5 % |
Natalia PÉREZ VALLE |
FMM |
986.13 |
47.9 % |
36.4 % |
Ainhoa GARCÍA SANTOS |
FMM |
981.05 |
37 % |
28.6 % |
Rosa COLL ESCALAS |
FBME |
979.12 |
37.5 % |
26.7 % |
Amaya DEL POZO CARRION |
FMM |
978.59 |
38.5 % |
30.3 % |
Cristina JARDON SUAREZ |
FEMPA |
976.51 |
47.8 % |
43.1 % |
Sara FERNANDEZ ALVES |
FMM |
976.51 |
46.1 % |
43.7 % |
Marina REVERT LLOMPART |
FBME |
976.12 |
38.2 % |
30 % |
Sara SAMANIEGO PAMIES |
FEEC |
974.43 |
35.6 % |
26.6 % |
Mariana SOUSA |
FCMP |
973.43 |
46.1 % |
38.5 % |
Paula MENESES BALLESTEROS |
FDMCM |
971.85 |
45.1 % |
38.4 % |
Antia FREITAS RIAL |
FEXME |
971.50 |
37.5 % |
29.5 % |
Andrea HERREROS BELMAR |
FDMCLM |
970.85 |
54 % |
34.7 % |
Ana MARTINEZ BELDA |
FMRM |
969.87 |
45.6 % |
38 % |
Claudia LARA PINILLOS |
FADMES |
969.65 |
40.9 % |
32.9 % |
Isis SANZ PÉREZ |
FAM |
967.97 |
25.8 % |
20.9 % |
Marta RIVERA GALLERA |
FMM |
967.79 |
36 % |
25.4 % |
Iune LA HIDALGA OTAMENDI |
EMF-FVM |
967.19 |
40.7 % |
28.9 % |
Amalia GARCÍA-COSIO ROMAGOSA |
FBME |
967.18 |
35.9 % |
25.4 % |
Elena POLLÁN GONZÁLEZ |
FBME |
966.78 |
28.8 % |
23.3 % |
Aloia BELTRAN RODRIGUEZ |
FEGAMON |
966.40 |
44.7 % |
42.3 % |
Valery Alejandra GONZALEZ ALFONSO |
FECAMON |
963.65 |
36.5 % |
28.5 % |
Natalia VALE FERNÁNDEZ |
FEGAMON |
963.31 |
34.1 % |
25.4 % |
Marina PABLO LASSA |
FAM |
961.99 |
44.5 % |
36.9 % |
Elna ROTGÉS CASELLAS |
FEEC |
959.04 |
34.8 % |
24.5 % |
Silvia FAYOS LOZADA |
FEMECV |
956.69 |
24.5 % |
19.8 % |
Elba VERGÉS SOLÉ |
FEEC |
955.66 |
34.4 % |
24.1 % |
Gaia POLINI MARTÍNEZ |
FEEC |
954.56 |
34.2 % |
24 % |
Idoia MARTÍNEZ IRISARRI |
EMF-FVM |
953.17 |
24.2 % |
19.5 % |
Garazi GURRUTXAGA AGIRRE |
EMF-FVM |
953.10 |
43.5 % |
35.7 % |
Maia LEDESMA PRUNES |
FBME |
952.81 |
34 % |
23.8 % |
Edurne GONZÁLEZ-LONGORIA MERINO |
FCDME |
950.48 |
36.3 % |
32.2 % |
Nayara PANTIGA GUTIERREZ |
FEMPA |
948.50 |
33.4 % |
23.4 % |
Ana TORREGROSA MARTÍNEZ |
FEMECV |
948.44 |
23.7 % |
19.1 % |
Naroa MORALES ALMAZAN |
FNDME |
947.94 |
33.4 % |
23.3 % |
Irene Xiaozhao PEREZ PRADO |
FAM |
944.05 |
50.2 % |
31.3 % |
Sara Libertad DÍAZ DE SARRALDE |
FMM |
943.93 |
37.5 % |
26.2 % |
Nerea PÉREZ PEREA |
FMM |
943.09 |
31.6 % |
23.2 % |
Haizea OSES SAIZ |
EMF-FVM |
942.34 |
37.3 % |
26.1 % |
Samara FERRAGUT MARTINEZ |
FBME |
940.24 |
41.9 % |
37 % |
Lidia ALVAREZ RODRIGUEZ |
FEMPA |
939.18 |
53.6 % |
42.7 % |
Aitana PICÓ I LÓPEZ |
FEMECV |
938.66 |
31 % |
22.8 % |
Irati ASO ESAIN |
FNDME |
936.72 |
32 % |
22.2 % |
Marina HIDALGO VALDERRÁBANO |
FADMES |
935.20 |
22.3 % |
17.9 % |
Malena ECHALAR CÁRDENAS |
FAM |
933.62 |
31.6 % |
21.9 % |
Laura VERDASCO URIZAL |
FMM |
926.40 |
39.8 % |
32.3 % |
Leire SÁNCHEZ GARCÍA |
FMRM |
925.55 |
47.5 % |
29 % |
Paula HUERGO MIYAR |
FEMPA |
924.62 |
47.4 % |
28.9 % |
Carlota BÖCK VÁZQUEZ |
FEGAMON |
923.91 |
29.7 % |
22.4 % |
Aroa MARTÍNEZ SÁNCHEZ |
FDMCM |
923.86 |
38.4 % |
32.1 % |
Alejandra MUÑOZ RODRÍGUEZ |
FADMES |
917.13 |
20.6 % |
16.5 % |
Mara RODRIGUEZ MÉNDEZ |
FEGAMON |
911.08 |
27.7 % |
20.1 % |
Lara PRIDA SEOANE |
FEGAMON |
897.86 |
43.6 % |
25.9 % |
Alba MARTÍNEZ LLARÍA |
FMM |
889.29 |
25.7 % |
19.1 % |
Oihane RUIZ DE ARGANDOÑA |
FNDME |
884.00 |
29.8 % |
20.1 % |
Elena CARAMES GONZALEZ |
FEMPA |
879.50 |
33.3 % |
23.6 % |
Jordana PEREZ GRANELL |
FEMECV |
864.76 |
16.1 % |
12.7 % |
Maria SANTOS GONZÁLEZ |
FEXME |
854.11 |
22.6 % |
15.1 % |
Paula LUCIO PANIAGUA |
FDMESCyL |
850.88 |
21.7 % |
15.9 % |
Lucia LORES REY |
FEGAMON |
850.72 |
21.7 % |
15.9 % |
Alba GÓMEZ CALATAYUD |
FEMECV |
837.10 |
14 % |
11 % |
María FEO MIGUELA |
FNDME |
819.71 |
12.9 % |
10.1 % |
Concepción María BALLESTEROS PÉREZ |
FADMES |
790.41 |
11.1 % |
8.7 % |
#### #####
## Up-coming SEASON
---
title: "Elo_Sport.Climbing_ESP_Sub18F"
author: "Federico J. Villatoro"
date: "`r Sys.Date()`"
output:
  html_notebook:
    toc: true
    toc_depth: 4
    toc_float: true
---

##### Fuente: [https://fedme.results.info](https://fedme.results.info/)

```{r setup, include=TRUE}
library(knitr)
knitr::opts_chunk$set(
  echo = FALSE,
	message = FALSE,
  warning = FALSE,
	include = TRUE
)
```

```{r packages, message=FALSE, warning=FALSE}
if(!require(tidyverse)){install.packages("tidyverse",repos = "http://cran.us.r-project.org")}
if(!require(googlesheets4)){install.packages("googlesheets4")}
if(!require(googledrive)){install.packages("googledrive")}
if(!require(dplyr)){install.packages("dplyr")}
if(!require(httr2)){install.packages("httr2")}
if(!require(jsonlite)){install.packages("jsonlite")}
if(!require(Rselenium)){install.packages("Rselenium")}
if(!require(chromote)){install.packages("chromote")}
if(!require(purrr)){install.packages("purrr")}
if(!require(wdman)){install.packages("wdman")}
if(!require(DT)){install.packages("DT")}
if(!require(plotly)){install.packages("plotly")}
##
library(plotly)
library(DT)
library(chromote)
library(purrr)
library(wdman)

library(tidyverse)
library(rvest)
library(dplyr)
library(jsonlite)
library(RSelenium)

library(googlesheets4)
library(googledrive)

```

##### Reading Data

```{r eval=TRUE, include=TRUE}

options(gargle_oauth_email = "villatoropazfj@dataanalysislab.com")

ss <- "https://docs.google.com/spreadsheets/d/1kXYUH9_QWNBbdIhVkgrthXAg2SUC5p6-rB651HlyG6k/edit?usp=sharing"
hoja = 2
rango = "A1:M5435"
ranks <- read_sheet(ss,
                sheet=hoja,
                range= rango, 
                   col_names = TRUE)

ranks <-  ranks %>%
  mutate_if(is.character, as.factor)

```

## BLOC 2022-2024

```{r include=FALSE, rows.print= 8}
bloc.Sub18F <- ranks %>%
  filter(stage=="Clasific",
         Category=="Sub18_F"|Category=="Abs_F"|Category=="Sub20_F",
         year=="2022"|year=="2023"|year=="2024"
    #     Name== nombre
         ) %>%
  group_by(competitor= Name,
           Year= year,
           Compe= Compe_,
           Team = Team,
           Date= Date) %>%
  reframe(rank= Rank) %>%
  reshape2::dcast(formula = competitor + Team ~ Date, 
                  na.rm = TRUE)

bloc.Sub18F <- as_tibble(bloc.Sub18F)
##
bloc.Sub18F[order(bloc.Sub18F$`2022-06-04`),c(1,2,3,4,5)] 

competitors.a.1 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2022-06-04`),])
competitors.a.2 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2022-06-05`),])
competitors.b.1 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2022-06-18`),])
competitors.b.2 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2022-06-19`),])
competitors.c.1 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2022-11-05`),])
competitors.c.2 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2022-11-06`),])
competitors.d.1 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2023-03-25`),])
competitors.d.2 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2023-03-26`),])
competitors.e.1 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2023-05-20`),])
competitors.e.2 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2023-05-21`),])
competitors.f.1 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2023-06-02`),])
competitors.f.2 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2023-06-03`),])
competitors.g.1 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2023-11-10`),])
competitors.g.2 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2023-11-11`),])
competitors.g.3 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2023-11-12`),])
competitors.h.1 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2024-04-13`),])
competitors.h.2 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2024-04-14`),])
competitors.i.1 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2024-06-29`),])
competitors.i.2 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2024-06-30`),])
competitors.j.1 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2024-11-09`),])
competitors.j.2 <- nrow(bloc.Sub18F[!is.na(bloc.Sub18F$`2024-11-10`),])
```

### 2022 June-First

```{r eval=TRUE, include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2022-06-04`),c(1,2,3)] %>% print(n=130)
```

### Elo June-First 2022

*-Competitors = `r competitors.a.1`-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,3)] %>% filter(bloc.Sub18F$`2022-06-04`!="NA") 
#
#last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r eval= TRUE,include=TRUE, cols.print= 7}
##### ELO ###################
### ## ELO (NASCAR) #############
n.debut = 0
###
last.comp.calc <- last.comp 
#%>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- rep(1000, N)
#R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############
#n = length(last_comp_debut$competitor)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- rep(1000, n)
#names <- last_comp_debut[,1]
#Team <- last_comp_debut$Team
##
#S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = unlist(last_comp_debut[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))


#elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut)


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

######*Elo History* *check code Chunk if running Sub16 alone*

```{r}
## 

compe= "2022.1"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("Sub18F", length(elo.last.comp.new$competitor)))

#

#elo.history <- elo.history %>% rbind(elo.history.last)
elo.history <- elo.history.last 

#%>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="Sub18F") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE}
p <- elo.history %>% 
  filter(categ=="Sub18F", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
#  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated First_June_2022**

```{r eval=TRUE, echo=FALSE}
elo.last.accum <- elo.last.comp.new
elo.last.comp.new <- elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```

### 2022 June-First - Abs

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2022-06-05`), c(1,2,3,4)] %>% print(n=65)
```

### Elo June-First - Abs

*-Competitors = `r competitors.a.2`-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,4)] %>% filter(bloc.Sub18F$`2022-06-05`!="NA") 
#
last_comp_debut <- last.comp %>% inner_join(elo.last.accum, by="competitor")
```

```{r eval= TRUE,include=TRUE, cols.print= 7}
#####ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###

last.comp.calc <- last.comp 
#%>% right_join(elo.last.accum, by="competitor")

###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- rep(1000,N)
#R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R
                       #, 
                       #rep(1000, n.debut )
                       )
                     )
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############
#n = length(last_comp_debut$competitor)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- rep(1000, n)
#names <- last_comp_debut[,1]
#Team <- last_comp_debut$Team
#categ <- bloc.Sub18F.a_b
#S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = unlist(last_comp_debut[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
      #                     Prob.podium = paste(round(Prob.podium*100, 1),
       #                                        "%") 
        #                   ))


#elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut)


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

##### _* Elo History *_

```{r}
## 
compe= "2022.1-Abs"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("AbsF", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="AbsF") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated June-First_Abs_2022**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```

### 2022 June-Second

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2022-06-18`), c(1,2,3,4,5)] %>% print(n=65)
```

### Elo June-Second

*-Competitors = `r competitors.b.1`-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,5)] %>% filter(bloc.Sub18F$`2022-06-18`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###

last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")

###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R, rep(1000, n.debut )))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############

#n = length(last_comp_debut$competitor)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- rep(1000, n)
#names <- last_comp_debut[,1]
#Team <- last_comp_debut$Team
#categ <- bloc.Sub18F.a_b
#S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))

###############################################
#elo.last.comp.new.debut <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = unlist(last_comp_debut[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))


elo.last.comp.new <- elo.last.comp.new 
#%>% rbind(elo.last.comp.new.debut)


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2022.2"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("Sub18F", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="Sub18F") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated June_Second-2023**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```


### 2022 June-Second-Abs

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2022-06-05`), c(1,2,5,6)] %>% print(n=65)
```


### Elo June-Second-Abss

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,6)] %>% filter(bloc.Sub18F$`2022-06-19`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###

last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")

###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R, rep(1000, n.debut )))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############

n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
categ <- last_comp_debut$Team
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))

###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))


elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut)


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2022.2-Abs"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("AbsF", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="AbsF") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated June_Second-Abs 2022**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```  



### 2022 Nov

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2022-11-05`), c(1,2,6,7)] %>% print(n=65)
```

### Elo Nov-2022

*-Competitors = `r competitors.b.1`-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,7)] %>% filter(bloc.Sub18F$`2022-11-05`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###

last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")

###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R, rep(1000, n.debut )))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############

n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
categ <- rep("Sub18F", n)
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))

###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))


elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut)


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2022.3"
#
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("Sub18F", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="Sub18F") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = categ)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated June_Second-2023**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```

### 2022 Nov - Abs

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2022-11-06`), c(1,2,7,8)] %>% print(n=65)
```

### Elo Nov - Abs

*-Competitors = `r competitors.c.2`-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,8)] %>% filter(bloc.Sub18F$`2022-11-06`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r eval= TRUE,include=TRUE, cols.print= 7}
#####ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###

last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")

###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
#R <- rep(1000,N)
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R
                       , rep(1000, n.debut )
                       )
                     )
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
categ <- rep("AbsF", n)
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))


elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut)


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

##### _* Elo History *_

```{r}
## 
compe= "2022.3-Abs"
elo.history.last <- elo.last.comp.new %>% mutate(comp = rep(compe, length(elo.last.comp.new$competitor)), categ = rep("AbsF", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="AbsF") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated June-First_Abs_2022**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```


### MERGING from sub16

```{r}
##
bloc.Sub16F <- ranks %>%
  filter(stage=="Clasific",
         Category=="Sub16_F",
         year=="2022",
         #     Name== nombre
  ) %>%
  group_by(competitor= Name,
           Year= year,
           Compe= Compe_,
           Team = Team,
           Date= Date) %>%
  reframe(rank= Rank) %>%
  reshape2::dcast(formula = competitor + Team ~ Compe, 
                  na.rm = TRUE)

bloc.Sub16F <- as_tibble(bloc.Sub16F)
##
bloc.Sub16F[order(bloc.Sub16F$a.bloc.first.22),c(1,2,3)] 
#
competitors.a <- nrow(bloc.Sub16F[!is.na(bloc.Sub16F$a.bloc.first.22),])
competitors.b <- nrow(bloc.Sub16F[!is.na(bloc.Sub16F$b.bloc.sec.22),])
competitors.c <- nrow(bloc.Sub16F[!is.na(bloc.Sub16F$c.bloc.thrd.22),])
#
### Elo First 2022  ####
#
N <- length(bloc.Sub16F$a.bloc.first.22[!is.na(bloc.Sub16F$a.bloc.first.22)])
R <- rep(1000, N)
names <- bloc.Sub16F[!is.na(bloc.Sub16F$a.bloc.first.22), 1]
Team <- bloc.Sub16F[!is.na(bloc.Sub16F$a.bloc.first.22), 2]
#categ <- bloc.Sub16F[!is.na(bloc.Sub16F$a.bloc.first.22), ]
results <- bloc.Sub16F$a.bloc.first.22[!is.na(bloc.Sub16F$a.bloc.first.22)]
stdev <- sd(c(1:(N+n.debut)))
avg.player <- median(R)
mediana <- median(results)
max.std <- (mediana-1)/stdev
S <- ((mediana-results) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.a.bloc.first.22 <- cbind(names = names,
                             Team= Team,
                             R = R,
                             results = results,
                             S = S,
                             R.new= round(R.new,2),
                             Prob.Finals= paste(round(Prob.Finals*100, 1), "%"), 
                             Prob.podium = paste(round(Prob.podium*100, 1),"%" ) )

elo.a.bloc.first.22 <- as_tibble(elo.a.bloc.first.22)

knitr::kable(elo.a.bloc.first.22[order(elo.a.bloc.first.22$results), c(1,2,3,4,6,7,8)], )
### _ Elo History _ ####
#elo.history.last <-
#  elo.a.bloc.first.22 %>% 
# mutate(comp = rep("2022.1", length(elo.a.bloc.first.22$competitor)),
#       categ = rep("Sub14F", length(elo.a.bloc.first.22$competitor)))
#elo.history <- rbind(elo.history.last)
## 2022 Second ####
bloc.Sub16F[order(bloc.Sub16F$b.bloc.sec.22), c(1,2,3,4)]
#
bloc.Sub16F.a_b <- bloc.Sub16F[,c(1:4)] %>%
  filter(!is.na(bloc.Sub16F$b.bloc.sec.22)&!is.na(bloc.Sub16F$a.bloc.first.22))

bloc.Sub16F.a_b <- elo.a.bloc.first.22 %>% 
  right_join(bloc.Sub16F.a_b, by= "competitor") %>%
  as_tibble()
### Elo Second 2022
n = length(bloc.Sub16F.a_b$b.bloc.sec.22)
N <- length(bloc.Sub16F$b.bloc.sec.22[!is.na(bloc.Sub16F$b.bloc.sec.22)])
R <- bloc.Sub16F.a_b$R.new
names <- bloc.Sub16F.a_b[!is.na(bloc.Sub16F.a_b$b.bloc.sec.22),1]
Team <- bloc.Sub16F.a_b$Team.x
#
results <- bloc.Sub16F$b.bloc.sec.22[!is.na(bloc.Sub16F$b.bloc.sec.22)]
stdev <- sd(c(1:(N+n.debut)))
avg.player <- median(c(R, rep(1000, N-n )))
mediana <- median(bloc.Sub16F$b.bloc.sec.22[!is.na(bloc.Sub16F$b.bloc.sec.22)])
max.std <- (mediana-1)/stdev
#
S <- ((mediana - bloc.Sub16F.a_b$b.bloc.sec.22 ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.b.bloc.sec.22 <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = bloc.Sub16F.a_b$b.bloc.sec.22,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1),"%" ) 
)
elo.b.bloc.sec.22 <- as_tibble(elo.b.bloc.sec.22)
### debut list ####
bloc.Sub16F.b.debut <- bloc.Sub16F[!is.na(bloc.Sub16F$b.bloc.sec.22),c(1,2,4)] %>% anti_join(bloc.Sub16F.a_b[, c(1)], by= "competitor") %>% as_tibble()
#
n = length(bloc.Sub16F.b.debut$b.bloc.sec.22)
N <- length(bloc.Sub16F$b.bloc.sec.22[!is.na(bloc.Sub16F$b.bloc.sec.22)])
R.debut <- rep(1000, n)
names <- bloc.Sub16F.b.debut[,1]
Team <- bloc.Sub16F.b.debut$Team
#
S <- ((mediana- bloc.Sub16F.b.debut$b.bloc.sec.22) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.b.bloc.sec.22$R.new, decreasing = TRUE)[9] - R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.b.bloc.sec.22$R.new, decreasing = TRUE)[4] -R.new)/D )))
####
elo.b.bloc.sec.22.debut <- cbind(names = names,
                                 Team= Team,
                                 R = R.debut,
                                 results = bloc.Sub16F.b.debut$b.bloc.sec.22,
                                 S = S,
                                 R.new= round(R.new,2),
                                 Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                                 Prob.podium = paste(round(Prob.podium*100, 1),
                                                     "%") 
)
elo.b.bloc.sec.22.debut <- as_tibble(elo.b.bloc.sec.22.debut)

elo.b.bloc.sec.22 <- elo.b.bloc.sec.22 %>% rbind(elo.b.bloc.sec.22.debut)
#
knitr::kable(elo.b.bloc.sec.22[order(elo.b.bloc.sec.22$results),c(1,2,3,4,6,7,8)])
### _ Elo History _ ####
#
#elo.history.last <- elo.b.bloc.sec.22 %>% 
#  mutate(comp = rep("2022.2", length(elo.b.bloc.sec.22$competitor)),
#        categ = rep("Sub14F", length(elo.b.bloc.sec.22$competitor)))
#elo.history <- elo.history %>% rbind(elo.history.last)
##### time-series data.frame ####
#elo.history.t_series <- elo.history %>% reshape2::dcast(formula = competitor~comp, value.var = "R.new")
## 2022 Third ####
bloc.Sub16F[order(bloc.Sub16F$c.bloc.thrd.22), c(1,2,3,4,5)]
### Elo Third 2022  ####
#
bloc.Sub16F.c <- as_tibble(bloc.Sub16F[!is.na(bloc.Sub16F$c.bloc.thrd.22) , c(1,2,5)])
##
bloc.Sub16F.c.debut <- bloc.Sub16F[is.na(bloc.Sub16F$a.bloc.first.22)&is.na(bloc.Sub16F$b.bloc.sec.22&!is.na(bloc.Sub16F$c.bloc.thrd.22)) , c(1,2,5)]
##
bloc.Sub16F.a_b_c <- bloc.Sub16F[!is.na(bloc.Sub16F$a.bloc.first.22)&!is.na(bloc.Sub16F$b.bloc.sec.22)&!is.na(bloc.Sub16F$c.bloc.thrd.22), c(1,2,5)]
##
bloc.Sub16F.a__c <- bloc.Sub16F[!is.na(bloc.Sub16F$a.bloc.first.22)&is.na(bloc.Sub16F$b.bloc.sec.22)&!is.na(bloc.Sub16F$c.bloc.thrd.22), c(1,2,3,5)]
#
bloc.Sub16F.a_only <- bloc.Sub16F[!is.na(bloc.Sub16F$a.bloc.first.22)&is.na(bloc.Sub16F$b.bloc.sec.22)&is.na(bloc.Sub16F$c.bloc.thrd.22),]
#### ELOs ####
elo.a.bloc.first.22.a_only <- elo.a.bloc.first.22[,] %>% anti_join(elo.b.bloc.sec.22, by="competitor")
### Elo Accumulated second comp ####
elo.b.bloc.sec.22.accum <- elo.b.bloc.sec.22 %>% rbind(elo.a.bloc.first.22.a_only)
elo.b.bloc.sec.22.accum  <- 
  elo.b.bloc.sec.22.accum[order(elo.b.bloc.sec.22.accum$competitor),]


#### ## ELO (NASCAR) #######
n = length(elo.b.bloc.sec.22.accum$competitor)
n.debut = length(bloc.Sub16F.c.debut$competitor)
#
c <- bloc.Sub16F.c %>% right_join(elo.b.bloc.sec.22.accum, by="competitor")
#
N <- length(c$competitor[!is.na(c$c.bloc.thrd.22)])
R <- c$R.new[!is.na(c$c.bloc.thrd.22)]
names <- c[!is.na(c$c.bloc.thrd.22),1]
Team <- c$Team.x[!is.na(c$c.bloc.thrd.22)]
#
results <- bloc.Sub16F.c$c.bloc.thrd.22
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R, rep(1000, n.debut )))
mediana <- median(bloc.Sub16F$c.bloc.thrd.22[!is.na(bloc.Sub16F$c.bloc.thrd.22)])
max.std <- (mediana-1)/stdev
#
S <- ((mediana - c$c.bloc.thrd.22[!is.na(c$c.bloc.thrd.22)] ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
#
elo.c.bloc.thrd.22 <- cbind(names = names,
                            Team= Team,
                            R = R,
                            results = c$c.bloc.thrd.22[!is.na(c$c.bloc.thrd.22)],
                            S = S,
                            R.new= round(R.new,2),
                            Prob.Finals= paste(round(Prob.Finals*100, 1),
                                               "%"),
                            Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
)
elo.c.bloc.thrd.22 <- as_tibble(elo.c.bloc.thrd.22)
#
n = length(bloc.Sub16F.c.debut$c.bloc.thrd.22)
N <- length(bloc.Sub16F$c.bloc.thrd.22[!is.na(bloc.Sub16F$c.bloc.thrd.22)])
R.debut <- rep(1000, n)
names <- bloc.Sub16F.c.debut[,1]
Team <- bloc.Sub16F.c.debut$Team
#
S <- ((mediana- bloc.Sub16F.c.debut$c.bloc.thrd.22) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.c.bloc.thrd.22$R.new, decreasing = TRUE)[9] - R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.c.bloc.thrd.22$R.new, decreasing = TRUE)[4] -R.new)/D )))
#
elo.c.bloc.thrd.22.debut <- cbind(names = names,
                                  Team= Team,
                                  R = R.debut,
                                  results = bloc.Sub16F.c.debut$c.bloc.thrd.22,
                                  S = S,
                                  R.new= round(R.new,2),
                                  Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                                  Prob.podium = paste(round(Prob.podium*100, 1),
                                                      "%") 
)
elo.c.bloc.thrd.22.debut <- as_tibble(elo.c.bloc.thrd.22.debut)
#
elo.c.bloc.thrd.22 <- elo.c.bloc.thrd.22 %>% rbind(elo.c.bloc.thrd.22.debut)
#
knitr::kable(elo.c.bloc.thrd.22[order(elo.c.bloc.thrd.22$results),c(1,2,3,4,6,7,8)])
#
### _ Elo History _ ####
compe <- "2022.3"
#elo.history.last <- elo.c.bloc.thrd.22 %>% 
#  mutate(comp = rep(compe, length(elo.c.bloc.thrd.22$competitor)),
#        categ = rep("Sub14F", length(elo.c.bloc.thrd.22$competitor)))
#elo.history <- elo.history %>% rbind(elo.history.last)
#### time-series data.frame ####
#elo.history.t_series <- as_tibble(elo.history %>% reshape2::dcast(formula = competitor~comp, value.var = "R.new"))
### **Elo Accumulated 2022** ####

elo.b.bloc.sec.22.accum.c_absent <- elo.b.bloc.sec.22.accum %>% anti_join(elo.c.bloc.thrd.22, by="competitor")
#
elo.c.bloc.thrd.22.accum <- elo.c.bloc.thrd.22 %>% rbind(elo.b.bloc.sec.22.accum.c_absent)
elo.c.bloc.thrd.22.accum <- elo.c.bloc.thrd.22.accum[order(elo.c.bloc.thrd.22.accum$competitor),]

#
bloc.Sub18F.23 <- ranks %>%
  filter(stage=="Clasific",
         Category=="Sub18_F"|Category=="Sub20_F"|Category=="Abs_F",
         year=="2023"
         #     Name== nombre
  ) %>%
  group_by(competitor= Name,
           Year= year,
           Compe= Compe_,
           Team = Team,
           Date= Date) %>%
  reframe(rank= Rank) %>%
  reshape2::dcast(formula = competitor + Team ~ Date, 
                  na.rm = TRUE)

bloc.Sub18F.23 <- as_tibble(bloc.Sub18F.23)
#
# * **_Los sub16 "salen"_* ####

### **Elo Accumulated First_2023** ####
## enviando los sub16 a otro archivo
elo.22.accum.to_sub18 <- elo.c.bloc.thrd.22.accum %>% semi_join(bloc.Sub18F.23,by="competitor")
## sub16 saliendo
# elo.c.bloc.thrd.22.accum <- elo.c.bloc.thrd.22.accum %>% anti_join(bloc.Sub18F.23,by="competitor") 



```  


### 2023 March

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2023-03-25`), c(1,2,8,9)] %>% print(n=65)
```

### Elo 2023 March

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,9)] %>% filter(bloc.Sub18F$`2023-03-25`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r}
## ex-Sub16 coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% right_join(elo.22.accum.to_sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```


```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
n.debut.from_lwr_cat = nrow(last_comp_debut.from_lwr_cat)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
N;n.debut
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut+n.debut.from_lwr_cat)))
#
R.lwr_cat <- last_comp_debut.from_lwr_cat$R.new
avg.player <- median(c(R, rep(1000, n.debut),c(R.lwr_cat) ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[7] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[7] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

## from_lwr_Cat #################
n = nrow(last_comp_debut.from_lwr_cat)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- R.lwr_cat
names <- last_comp_debut.from_lwr_cat[,1]
Team <- unlist(last_comp_debut.from_lwr_cat[,2])
#
S <- ((mediana - last_comp_debut.from_lwr_cat[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[7] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut.lwr_cat <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut.from_lwr_cat[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

####
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut, elo.last.comp.new.debut.lwr_cat)


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe <- "2023.1"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("Sub18F", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="Sub18F") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 9}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = categ)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated March_2023**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```


### 2023 March-Abs

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2023-03-26`), c(1,2,9,10)] %>% print(n=65)
```

### Elo March-Abs 2023

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,10)] %>% filter(bloc.Sub18F$`2023-03-26`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r}
##coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% inner_join(elo.22.accum.to_sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```

```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R, rep(1000, n.debut )))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))


elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut)


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe <- "2023.1-Abs"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("AbsF", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="AbsF") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 16}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated Second_2023**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```


```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```

### 2023 May

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2023-05-20`), c(1,2,11)] %>% print(n=65)
```

### Elo 2023 May

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,11)] %>% filter(bloc.Sub18F$`2023-05-20`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r}
##coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% right_join(elo.22.accum.to_sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```




```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#

R.lwr_cat <- last_comp_debut.from_lwr_cat$R.new
avg.player <- median(c(R, rep(1000, n.debut ),R.lwr_cat))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

## from_lwr_Cat #################
n = nrow(last_comp_debut.from_lwr_cat)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- R.lwr_cat
names <- last_comp_debut.from_lwr_cat[,1]
Team <- unlist(last_comp_debut.from_lwr_cat[,2])
#categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut.from_lwr_cat[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut.lwr_cat <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut.from_lwr_cat[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

####
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut, elo.last.comp.new.debut.lwr_cat)


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2023.2"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("Sub18F", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="Sub18F") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 16}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated Third_2023**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```

### 2023 May-Abs

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2023-05-21`), c(1,2,12)] %>% print(n=65)
```

### Elo May-Abs 2023

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,12)] %>% filter(bloc.Sub18F$`2023-05-21`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R
                       , 
                       rep(1000, n.debut )
                       ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))


elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut)


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2023.2-Abs"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("AbsF", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="AbsF") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 16}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated May-Abs_2023**

```{r eval=TRUE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```



### 2023 June

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2023-06-02`), c(1,2,13)] %>% print(n=65)
```

### Elo 2023 June

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,13)] %>% filter(bloc.Sub18F$`2023-06-02`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r}
##coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% right_join(elo.22.accum.to_sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```




```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#

#R.lwr_cat <- last_comp_debut.from_lwr_cat$R.new
avg.player <- median(c(R, rep(1000, n.debut )
                       #,R.lwr_cat
                       ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

## from_lwr_Cat #################
#n = nrow(last_comp_debut.from_lwr_cat)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- R.lwr_cat
#names <- last_comp_debut.from_lwr_cat[,1]
#Team <- unlist(last_comp_debut.from_lwr_cat[,2])
#categ <- bloc.Sub16F.a_b
#S <- ((mediana - last_comp_debut.from_lwr_cat[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut.lwr_cat <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = #unlist(last_comp_debut.from_lwr_cat[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))

####
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut
                                                 #, elo.last.comp.new.debut.lwr_cat
                                                 )


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2023.3"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("Sub18F", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="Sub18F") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 16}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated June_2023**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```


### 2023 June-Abs

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2023-06-03`), c(1,2,14)] %>% print(n=65)
```

### Elo June-Abs 2023

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,14)] %>% filter(bloc.Sub18F$`2023-06-03`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R
                       #, 
                       #rep(1000, n.debut )
                       ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############
#n = length(last_comp_debut$competitor)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- rep(1000, n)
#names <- last_comp_debut[,1]
#Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
#S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = unlist(last_comp_debut[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))


#elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut)


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2023.3-Abs"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("AbsF", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="AbsF") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 16}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated June-Abs_2023**

```{r eval=TRUE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```


### 2023 Nov

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2023-11-10`), c(1,2,15)] %>% print(n=65)
```

### Elo 2023 Nov

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,15)] %>% filter(bloc.Sub18F$`2023-11-10`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r}
##coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% right_join(elo.22.accum.to_sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```




```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#

#R.lwr_cat <- last_comp_debut.from_lwr_cat$R.new
avg.player <- median(c(R, rep(1000, n.debut )
                       #,R.lwr_cat
                       ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############
#n = length(last_comp_debut$competitor)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- rep(1000, n)
#names <- last_comp_debut[,1]
#Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
#S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = unlist(last_comp_debut[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))

## from_lwr_Cat #################
#n = nrow(last_comp_debut.from_lwr_cat)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- R.lwr_cat
#names <- last_comp_debut.from_lwr_cat[,1]
#Team <- unlist(last_comp_debut.from_lwr_cat[,2])
#categ <- bloc.Sub16F.a_b
#S <- ((mediana - last_comp_debut.from_lwr_cat[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut.lwr_cat <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = #unlist(last_comp_debut.from_lwr_cat[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))

####
#elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut
                                                 #, elo.last.comp.new.debut.lwr_cat
#                                                 )


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2023.4"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("Sub18F", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="Sub18F") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 16}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated Nov_2023**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```


### 2023 Nov-Sub20

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2023-11-11`), c(1,2,16)] %>% print(n=65)
```

### Elo 2023 Nov-Sub20

*-Competitors = `r`-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,16)] %>% filter(bloc.Sub18F$`2023-11-11`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r}
##coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% right_join(elo.22.accum.to_sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```



```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#

#R.lwr_cat <- last_comp_debut.from_lwr_cat$R.new
avg.player <- median(c(R, rep(1000, n.debut )
                       #,R.lwr_cat
                       ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[7] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[7] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

## from_lwr_Cat #################
#n = nrow(last_comp_debut.from_lwr_cat)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- R.lwr_cat
#names <- last_comp_debut.from_lwr_cat[,1]
#Team <- unlist(last_comp_debut.from_lwr_cat[,2])
#categ <- bloc.Sub16F.a_b
#S <- ((mediana - last_comp_debut.from_lwr_cat[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut.lwr_cat <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = #unlist(last_comp_debut.from_lwr_cat[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))

####
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut
                                                 #, elo.last.comp.new.debut.lwr_cat
                                                 )


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2023.4-20"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("Sub20F", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="Sub20F") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 16}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF"|categ=="Sub20F", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated Nov-Sub20_2023**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```



### 2023 Nov-Abs

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2023-11-12`), c(1,2,17)] %>% print(n=65)
```

### Elo 2023 Nov-Abs

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,17)] %>% filter(bloc.Sub18F$`2023-11-12`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```

```{r}
##coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% right_join(elo.22.accum.to_sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```



```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#

#R.lwr_cat <- last_comp_debut.from_lwr_cat$R.new
avg.player <- median(c(R, rep(1000, n.debut )
                       #,R.lwr_cat
                       ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
### ## ELO (NASCAR) #############
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

## from_lwr_Cat #################
#n = nrow(last_comp_debut.from_lwr_cat)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- R.lwr_cat
#names <- last_comp_debut.from_lwr_cat[,1]
#Team <- unlist(last_comp_debut.from_lwr_cat[,2])
#categ <- bloc.Sub16F.a_b
#S <- ((mediana - last_comp_debut.from_lwr_cat[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut.lwr_cat <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = #unlist(last_comp_debut.from_lwr_cat[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))

####
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut
                                                 #, elo.last.comp.new.debut.lwr_cat
                                                 )


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2023.4-Abs"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("AbsF", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="AbsF") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 16}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF"|categ=="Sub20F", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated Nov-Abs_2023**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```



#### Anchoring 'elo.last.accum' 2023

```{r echo=FALSE, include=TRUE}
elo.23.accum <- elo.last.accum
```

#### MERGING FROM SUB16-2023

```{r}
bloc.Sub16F <- ranks %>%
  filter(stage=="Clasific",
         Category=="Sub16_F",
         year=="2022"|year=="2023",
         #Name== nombre
         ) %>%
  group_by(competitor= Name,
           Year= year,
           Compe= Compe_,
           Team = Team,
           Date= Date) %>%
  reframe(rank= Rank) %>%
  reshape2::dcast(formula = competitor + Team ~ Compe, 
                  na.rm = TRUE)

bloc.Sub16F <- as_tibble(bloc.Sub16F)
##
bloc.Sub16F.d <- bloc.Sub16F[,c(1,2,6)] %>% filter(bloc.Sub16F$d.bloc.first.23!="NA") 
#
bloc.Sub16F.d.debut <- bloc.Sub16F.d %>% anti_join(elo.c.bloc.thrd.22.accum, by="competitor")





### ## ELO (NASCAR) #############
n.debut = length(bloc.Sub16F.d.debut$competitor)
###
d <- bloc.Sub16F.d %>% right_join(elo.c.bloc.thrd.22.accum, by="competitor")
###
N <- length(d$competitor[!is.na(d$d.bloc.first.23)])
R <- d$R.new[!is.na(d$d.bloc.first.23)]
names <- d[!is.na(d$d.bloc.first.23),1]
Team <- d$Team.x[!is.na(d$d.bloc.first.23)]
#####################
results <- bloc.Sub16F.d$d.bloc.first.23
stdev <- sd(results)
#
avg.player <- median(c(R, rep(1000, n.debut )))
mediana <- median(bloc.Sub16F$d.bloc.first.23[!is.na(bloc.Sub16F$d.bloc.first.23)])
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - d$d.bloc.first.23[!is.na(d$d.bloc.first.23)] ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###

elo.d.bloc.first.23 <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = d$d.bloc.first.23[!is.na(d$d.bloc.first.23)],
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.d.bloc.first.23 <- as_tibble(elo.d.bloc.first.23)

###########

################################################
### ## ELO (NASCAR) #############
n = length(bloc.Sub16F.d.debut$d.bloc.first.23)
N <- length(bloc.Sub16F$d.bloc.first.23[!is.na(bloc.Sub16F$d.bloc.first.23)])
R.debut <- rep(1000, n)
names <- bloc.Sub16F.d.debut[,1]
Team <- bloc.Sub16F.d.debut$Team
#categ <- bloc.Sub16F.a_b
S <- ((mediana- bloc.Sub16F.d.debut$d.bloc.first.23) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.d.bloc.first.23$R.new, decreasing = TRUE)[9] - R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.d.bloc.first.23$R.new, decreasing = TRUE)[4] -R.new)/D )))
###############################################
elo.d.bloc.first.23.debut <- cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = bloc.Sub16F.d.debut$d.bloc.first.23,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           )
elo.d.bloc.first.23.debut <- as_tibble(elo.d.bloc.first.23.debut)

elo.d.bloc.first.23 <- elo.d.bloc.first.23 %>% rbind(elo.d.bloc.first.23.debut)






# # Corte Sub14-Sub16 _2024 ####  
### **Elo Accumulated First_2023**
##
elo.last.accum <- elo.c.bloc.thrd.22.accum
elo.last.comp <- elo.d.bloc.first.23
###
elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp,by="competitor")
elo.last.accum <- elo.last.comp %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
### 2023 Second  
bloc.Sub16F[order(bloc.Sub16F$e.bloc.sec.23), c(1,2,6,7)] %>% print(n=65)
### Elo Second 2023 
last.comp <- bloc.Sub16F[,c(1,2,7)] %>% filter(bloc.Sub16F$e.bloc.sec.23!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
### ELO #################
n.debut = length(last_comp_debut$competitor)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R, rep(1000, n.debut )))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
)
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                                           Team= Team,
                                           R = R.debut,
                                           results = unlist(last_comp_debut[,3]),
                                           S = S[,1],
                                           R.new= round(R.new[,1],2),
                                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                                           Prob.podium = paste(round(Prob.podium*100, 1),
                                                               "%") 
))
#
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut)

### _ Elo History _
elo.last.accum
elo.last.comp.new
elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")
#
elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
#
bloc.Sub16F[order(bloc.Sub16F$f.bloc.thrd.23),c(1,2,6,7,8)] %>% filter(f.bloc.thrd.23!="NA" )
### Elo Third 2023 
last.comp <- bloc.Sub16F[,c(1,2,8)] %>% filter(bloc.Sub16F$f.bloc.thrd.23!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
### ELO #################
#
n.debut = length(last_comp_debut$competitor)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R, rep(1000, n.debut )))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
)
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                                           Team= Team,
                                           R = R.debut,
                                           results = unlist(last_comp_debut[,3]),
                                           S = S[,1],
                                           R.new= round(R.new[,1],2),
                                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                                           Prob.podium = paste(round(Prob.podium*100, 1),
                                                               "%") 
))
#
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut)
##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])
### **Elo Accumulated Third_2023**
elo.last.accum
elo.last.comp.new
#
elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")
#
elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
### 2023 Champ
bloc.Sub16F[order(bloc.Sub16F$g.bloc.camp.23),c(1,2,6,7,8,9)] %>% filter(g.bloc.camp.23!="NA" )
### Elo Camp 2023 
last.comp <- bloc.Sub16F[,c(1,2,9)] %>% filter(bloc.Sub16F$g.bloc.camp.23!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
### ELO #################
#
n.debut = length(last_comp_debut$competitor)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut)))
#
avg.player <- median(c(R, rep(1000, n.debut )))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
)
elo.last.comp.new <- as_tibble(elo.last.comp.new)
### ## ELO (NASCAR) #############
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                                           Team= Team,
                                           R = R.debut,
                                           results = unlist(last_comp_debut[,3]),
                                           S = S[,1],
                                           R.new= round(R.new[,1],2),
                                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                                           Prob.podium = paste(round(Prob.podium*100, 1),
                                                               "%") 
))
#
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut)
### **Elo Accumulated Champ_2023**
elo.last.accum
elo.last.comp.new
#
elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
###* **Capturando los futuros Sub18|Sub20|Abs** 
bloc.Sub18F.24 <- ranks %>%
  filter(stage=="Clasific",
         Category=="Sub18_F"|Category=="Abs_F",
         year=="2024"
         #     Name== nombre
  ) %>%
  group_by(competitor= Name,
           Year= year,
           Compe= Compe_,
           Team = Team,
           Date= Date) %>%
  reframe(rank= Rank) %>%
  reshape2::dcast(formula = competitor + Team ~ Date, 
                  na.rm = TRUE)
#
bloc.Sub18F.24 <- as_tibble(bloc.Sub18F.24)
###* *_Los sub16 "salen"_*
## enviando los sub16 a otro archivo
elo.23.accum.to_Sub18 <- elo.last.accum %>% semi_join(bloc.Sub18F.24, by="competitor")
## sub16 saliendo
#elo.last.accum <- elo.last.accum %>% anti_join(bloc.Sub18F.24,by="competitor")
```

### 2024 April

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2024-04-13`), c(1,2,18)] %>% print(n=65)
```

### Elo April 2024

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,18)] %>% filter(bloc.Sub18F$`2024-04-13`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.23.accum, by="competitor")
```

```{r}
## ex-Sub14 coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% right_join(elo.23.accum.to_Sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```

#### re-instating 'elo.last.accum'

```{r echo=TRUE, include=TRUE}
elo.last.accum <- elo.23.accum 
```

```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
n.debut.from_lwr_cat = nrow(last_comp_debut.from_lwr_cat)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut+n.debut.from_lwr_cat)))
#
R.lwr_cat <- last_comp_debut.from_lwr_cat$R.new
avg.player <- median(c(R, rep(1000, n.debut)
                       ,
                       c(R.lwr_cat) 
                       ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

## from_lwr_Cat #################
n = nrow(last_comp_debut.from_lwr_cat)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- R.lwr_cat
names <- last_comp_debut.from_lwr_cat[,1]
Team <- unlist(last_comp_debut.from_lwr_cat[,2])
categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut.from_lwr_cat[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut.lwr_cat <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut.from_lwr_cat[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

####
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut
                                                 ,
                                                 elo.last.comp.new.debut.lwr_cat
                                                 )


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2024.1"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("Sub18F", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="Sub18F") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 1}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF"|categ=="Sub20F", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed") +
  scale_y_continuous(name= "Elo Ranking") +
  scale_x_discrete(name = "Time")
#p
ggplotly(p)
```

### **Elo Accumulated April_2024**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```

### 2024 April-Abs

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2024-04-14`), c(1,2,19)] %>% print(n=65)
```

### Elo April-Abs 2024

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,19)] %>% filter(bloc.Sub18F$`2024-04-14`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```  


```{r}
## ex-Sub14 coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% right_join(elo.23.accum.to_Sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```  


```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
n.debut.from_lwr_cat = nrow(last_comp_debut.from_lwr_cat)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut+n.debut.from_lwr_cat)))
#
R.lwr_cat <- last_comp_debut.from_lwr_cat$R.new
avg.player <- median(c(R, rep(1000, n.debut)
                       ,
                       c(R.lwr_cat) 
                       ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

## from_lwr_Cat #################
n = nrow(last_comp_debut.from_lwr_cat)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- R.lwr_cat
names <- last_comp_debut.from_lwr_cat[,1]
Team <- unlist(last_comp_debut.from_lwr_cat[,2])
categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut.from_lwr_cat[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut.lwr_cat <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut.from_lwr_cat[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

####
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut
                                                 ,
                                                 elo.last.comp.new.debut.lwr_cat
                                                 )


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2024.1-Abs"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("AbsF", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="AbsF") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 16}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF"|categ=="Sub20F", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated April-Abs_2024**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```

### 2024 June

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2024-06-29`), c(1,2,20)] %>% print(n=65)
```

### Elo June 2024

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE }
last.comp <- bloc.Sub18F[,c(1,2,20)] %>% filter(bloc.Sub18F$`2024-06-29`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```


```{r}
## ex-Sub14 coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% right_join(elo.23.accum.to_Sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```  


```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
#n.debut.from_lwr_cat = nrow(last_comp_debut.from_lwr_cat)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut+n.debut.from_lwr_cat)))
#
#R.lwr_cat <- last_comp_debut.from_lwr_cat$R.new
avg.player <- median(c(R, rep(1000, n.debut)
 #                      ,
  #                     c(R.lwr_cat) 
                       ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

## from_lwr_Cat #################
#n = nrow(last_comp_debut.from_lwr_cat)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- R.lwr_cat
#names <- last_comp_debut.from_lwr_cat[,1]
#Team <- unlist(last_comp_debut.from_lwr_cat[,2])
#categ <- bloc.Sub16F.a_b
#S <- ((mediana - last_comp_debut.from_lwr_cat[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut.lwr_cat <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = unlist(last_comp_debut.from_lwr_cat[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))

####
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut
#                                                 ,
                                                 #elo.last.comp.new.debut.lwr_cat
                                                 )


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```  


#####\_ Elo History \_

```{r}
## 
compe= "2024.2"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("Sub18F", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="Sub18F") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE,  fig.height=10, fig.width= 16}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF"|categ=="Sub20F", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated June_2024**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```



### 2024 June-Abs

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2024-06-30`), c(1,2,21)] %>% print(n=65)
```

### Elo June-Abs 2024

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,21)] %>% filter(bloc.Sub18F$`2024-06-30`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```  


```{r}
## ex-Sub14 coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% right_join(elo.23.accum.to_Sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```  


```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
#n.debut.from_lwr_cat = nrow(last_comp_debut.from_lwr_cat)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut+n.debut.from_lwr_cat)))
#
#R.lwr_cat <- last_comp_debut.from_lwr_cat$R.new
avg.player <- median(c(R, rep(1000, n.debut)
 #                      ,
  #                     c(R.lwr_cat) 
                       ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

## from_lwr_Cat #################
#n = nrow(last_comp_debut.from_lwr_cat)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- R.lwr_cat
#names <- last_comp_debut.from_lwr_cat[,1]
#Team <- unlist(last_comp_debut.from_lwr_cat[,2])
#categ <- bloc.Sub16F.a_b
#S <- ((mediana - last_comp_debut.from_lwr_cat[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut.lwr_cat <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = unlist(last_comp_debut.from_lwr_cat[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))

####
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut
#                                                 ,
 #                                                elo.last.comp.new.debut.lwr_cat
                                                 )


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2024.2-Abs"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("AbsF", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="AbsF") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 16}
p <- elo.history %>% 
  filter(categ=="Sub18F"|categ=="AbsF"|categ=="Sub20F", R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = Team)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed")

#p
ggplotly(p)
```

### **Elo Accumulated June-Abs_2024**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```


### 2024 Nov

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2024-11-09`), c(1,2,22)] %>% print(n=65)
```

### Elo Nov 2024

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE }
last.comp <- bloc.Sub18F[,c(1,2,22)] %>% filter(bloc.Sub18F$`2024-11-09`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```


```{r}
## ex-Sub14 coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% right_join(elo.23.accum.to_Sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```  


```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
#n.debut.from_lwr_cat = nrow(last_comp_debut.from_lwr_cat)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut+n.debut.from_lwr_cat)))
#
#R.lwr_cat <- last_comp_debut.from_lwr_cat$R.new
avg.player <- median(c(R, rep(1000, n.debut)
 #                      ,
  #                     c(R.lwr_cat) 
                       ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
n = length(last_comp_debut$competitor)
N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
R.debut <- rep(1000, n)
names <- last_comp_debut[,1]
Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
E <- 1/(1+(10^( (avg.player-R.debut)/D )))
R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
elo.last.comp.new.debut <- as_tibble(cbind(names = names,
                           Team= Team,
                           R = R.debut,
                           results = unlist(last_comp_debut[,3]),
                           S = S[,1],
                           R.new= round(R.new[,1],2),
                           Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
                           Prob.podium = paste(round(Prob.podium*100, 1),
                                               "%") 
                           ))

## from_lwr_Cat #################
#n = nrow(last_comp_debut.from_lwr_cat)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- R.lwr_cat
#names <- last_comp_debut.from_lwr_cat[,1]
#Team <- unlist(last_comp_debut.from_lwr_cat[,2])
#categ <- bloc.Sub16F.a_b
#S <- ((mediana - last_comp_debut.from_lwr_cat[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut.lwr_cat <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = unlist(last_comp_debut.from_lwr_cat[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))

####
elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut
#                                                 ,
                                                 #elo.last.comp.new.debut.lwr_cat
                                                 )


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```  


#####\_ Elo History \_

```{r}
## 
compe= "2024.3"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("Sub18F", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="Sub18F") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=FALSE,  fig.height=10, fig.width= 16}
#id = ""
#shortname = ""
#
#cols= c("FEEC/FEMECV" = "darkorange3",
 #       "cct21"= "yellow3",
  #      "FEMECV" = "red4",
   #     "Other climnbers" = "gray"
    #    )
#
cct = c("cct21" = "black",
        "FEEC" = "darkorange3",
        "FEMECV" = "red4",
        "Other climbers"= "darkgray")
##
p <- elo.history %>%
  mutate(focus = case_when(competitor == "Abril FARRUS SORIANO" ~ "cct21", competitor == "Maria FERRÉ PRIM" ~ "cct21", competitor ==  "Jana ESTEVE VALDES" ~ "cct21", competitor ==  "Mònica JAUSET SABATER" ~ "cct21", competitor ==  "Rut TORRALLARDONA VALL" ~ "cct21", competitor ==  "Asha GUITART CHUNG" ~ "cct21", competitor ==  "Júlia BORGES DEL VILLASANTE" ~ "cct21", competitor ==  "Mar VICENTE JUAN DE LA CRUZ" ~ "cct21", competitor == "Aina VILA CANTERO" ~ "cct21", competitor == "Laia TAULATS MCDONALD" ~ "cct21", competitor == "Elba VERGÉS SOLÉ" ~ "cct21", competitor == "Josefa GONZÁLEZ LARA" ~ "cct21",
                     Team== "FEEC" ~ "FEEC", Team== "FEMECV" ~ "FEMECV", TRUE ~ "Other climbers")) %>%
  filter(categ=="Sub18F"|categ=="Sub20F"|categ=="AbsF", 
         R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = focus)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed") +
  scale_color_manual(name = "Climber",
                     aesthetics = "color",
                     ,
                     values = cct
                     )

#p
ggplotly(p)
```

### **Elo Accumulated Nov_2024**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```


### 2024 Nov-Abs

```{r include=TRUE}
bloc.Sub18F[order(bloc.Sub18F$`2024-11-10`), c(1,2,23)] %>% print(n=65)
```

### Elo Nov-Abs 2024

*-Competitors = `r `-*

```{r eval=TRUE,include=TRUE}
last.comp <- bloc.Sub18F[,c(1,2,23)] %>% filter(bloc.Sub18F$`2024-11-10`!="NA") 
#
last_comp_debut <- last.comp %>% anti_join(elo.last.accum, by="competitor")
```  


```{r}
## ex-Sub14 coming in ###
last_comp_debut.from_lwr_cat <- last_comp_debut %>% right_join(elo.23.accum.to_Sub18, by="competitor")
last_comp_debut.from_lwr_cat <- last_comp_debut.from_lwr_cat[!is.na(last_comp_debut.from_lwr_cat[,3]),]
#
last_comp_debut <- last_comp_debut %>% anti_join(last_comp_debut.from_lwr_cat, by="competitor")
```  


```{r eval= TRUE,include=TRUE, cols.print= 7}
### ELO #################
### ELO #################
### ## ELO (NASCAR) #############
n.debut = length(last_comp_debut$competitor)
#n.debut.from_lwr_cat = nrow(last_comp_debut.from_lwr_cat)
###
last.comp.calc <- last.comp %>% right_join(elo.last.accum, by="competitor")
###
N <- length(last.comp.calc$competitor[!is.na(last.comp.calc[,3])])
R <- last.comp.calc$R.new[!is.na(last.comp.calc[,3])]
names <- last.comp.calc[!is.na(last.comp.calc[,3]),1]
Team <- last.comp.calc$Team.x[!is.na(last.comp.calc[,3])]
#####################
results <- last.comp.calc[!is.na(last.comp.calc[,3]),3]
results <- (unlist(results))
stdev <- sd(c(1:(N+n.debut+n.debut.from_lwr_cat)))
#
#R.lwr_cat <- last_comp_debut.from_lwr_cat$R.new
avg.player <- median(c(R, rep(1000, n.debut)
 #                      ,
  #                     c(R.lwr_cat) 
                       ))
mediana <- median(unlist(last.comp[!is.na(last.comp[,3]),3]))
max.std <- (mediana-1)/stdev
##################
S <- ((mediana - unlist(last.comp.calc[!is.na(last.comp.calc[,3]),3]) ) / stdev) / max.std
D = 400
k = 32
E <- 1/(1+(10^( (avg.player-R)/D )))
R.new <- R + (k * (S - ((2*E)/N) ) )
#
max.cut.finals <- (stdev-9)/stdev
Prob.Finals <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[9] -R.new)/D )))
max.cut.podium <- (stdev-4)/stdev
Prob.podium <- 1/(1+(10^( ( sort(R.new, decreasing = TRUE)[4] -R.new)/D )))
###
elo.last.comp.new <- cbind(names = names,
                           Team= Team,
                           R = R,
                           results = results,
                           S = S,
                           R.new= round(R.new,2),
                           Prob.Finals= paste(round(Prob.Finals*100, 1),
                                              "%"),
                           Prob.podium = paste(round(Prob.podium*100,1), "%" ) 
                           )
elo.last.comp.new <- as_tibble(elo.last.comp.new)
###########
################################################
#n = length(last_comp_debut$competitor)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- rep(1000, n)
#names <- last_comp_debut[,1]
#Team <- last_comp_debut$Team
#categ <- bloc.Sub16F.a_b
#S <- ((mediana - last_comp_debut[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = unlist(last_comp_debut[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))

## from_lwr_Cat #################
#n = nrow(last_comp_debut.from_lwr_cat)
#N <- length(unlist(last.comp[!is.na(last.comp[,3]),3]))
#R.debut <- R.lwr_cat
#names <- last_comp_debut.from_lwr_cat[,1]
#Team <- unlist(last_comp_debut.from_lwr_cat[,2])
#categ <- bloc.Sub16F.a_b
#S <- ((mediana - last_comp_debut.from_lwr_cat[,3]) / stdev) / max.std
#E <- 1/(1+(10^( (avg.player-R.debut)/D )))
#R.new <- R.debut + (k * (S - ((2*E)/N) ) )
#
#max.cut.finals <- (stdev-9)/stdev
#Prob.Finals <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[9] - R.new[,1])/D )))
#max.cut.podium <- (stdev-4)/stdev
#Prob.podium <- 1/(1+(10^( ( sort(elo.last.comp.new$R.new, decreasing = TRUE)[4] -R.new[,1])/D )))
###############################################
#elo.last.comp.new.debut.lwr_cat <- as_tibble(cbind(names = names,
 #                          Team= Team,
  #                         R = R.debut,
   #                        results = unlist(last_comp_debut.from_lwr_cat[,3]),
    #                       S = S[,1],
     #                      R.new= round(R.new[,1],2),
      #                     Prob.Finals= paste(round(Prob.Finals*100,1),"%"),
       #                    Prob.podium = paste(round(Prob.podium*100, 1),
        #                                       "%") 
         #                  ))

####

#elo.last.comp.new <- elo.last.comp.new %>% rbind(elo.last.comp.new.debut
#                                                 ,
 #                                                elo.last.comp.new.debut.lwr_cat
                                           #      )


##### ##########
knitr::kable(elo.last.comp.new[order(elo.last.comp.new$results),c(1,2,3,4,6,7,8)])

```

#####\_ Elo History \_

```{r}
## 
compe= "2024.3-Abs"
elo.history.last <- elo.last.comp.new %>% 
  mutate(comp = rep(compe, length(elo.last.comp.new$competitor)),
         categ = rep("AbsF", length(elo.last.comp.new$competitor)))

#
elo.history <- elo.history %>% rbind(elo.history.last)

# time-series data.frame
## Sub18F
elo.history.t_series.S18F <- 
  as_tibble(elo.history %>%
              filter(categ=="AbsF") %>%
              reshape2::dcast(formula = competitor~comp, value.var = "R.new")) 
## 

```

### Elo in time

```{r include=TRUE, fig.width= 20, fig.height=10}
#id = ""
#shortname = ""
#
#cols= c("FEEC/FEMECV" = "darkorange3",
 #       "cct21"= "yellow3",
  #      "FEMECV" = "red4",
   #     "Other climnbers" = "gray"
    #    )
#
cct = c("cct21" = "black",
        "FEEC" = "darkorange3",
        "FEMECV" = "red4",
        "Other climbers"= "darkgray")
##
p <- elo.history %>%
  mutate(focus = case_when(competitor == "Abril FARRUS SORIANO" ~ "cct21", competitor == "Maria FERRÉ PRIM" ~ "cct21", competitor ==  "Jana ESTEVE VALDES" ~ "cct21", competitor ==  "Mònica JAUSET SABATER" ~ "cct21", competitor ==  "Rut TORRALLARDONA VALL" ~ "cct21", competitor ==  "Asha GUITART CHUNG" ~ "cct21", competitor ==  "Júlia BORGES DEL VILLASANTE" ~ "cct21", competitor ==  "Mar VICENTE JUAN DE LA CRUZ" ~ "cct21", competitor == "Aina VILA CANTERO" ~ "cct21", competitor == "Laia TAULATS MCDONALD" ~ "cct21", competitor == "Elba VERGÉS SOLÉ" ~ "cct21", competitor == "Josefa GONZÁLEZ LARA" ~ "cct21",
                     Team== "FEEC" ~ "FEEC", Team== "FEMECV" ~ "FEMECV", TRUE ~ "Other climbers")) %>%
  filter(categ=="Sub18F"|categ=="Sub20F"|categ=="AbsF", 
         R.new>=0) %>%
  ggplot(aes(x= comp, y= R.new, group = competitor, col = focus)) + 
  geom_point() + 
  geom_line(linetype= "dashed") + 
  geom_hline(yintercept=1000,linetype= "dashed") +
  scale_color_manual(name = "Climber",
                     aesthetics = "color",
                     ,
                     values = cct
                     )

#p
ggplotly(p)
```

### **Elo Accumulated June-Abs_2024**

```{r eval=FALSE, include=TRUE}
elo.last.accum
elo.last.comp.new
```

```{r eval=TRUE, include=TRUE, cols.print=7}

elo.last.accum_last.comp_absent <- elo.last.accum %>% anti_join(elo.last.comp.new,by="competitor")

elo.last.accum <- elo.last.comp.new %>% rbind(elo.last.accum_last.comp_absent)
elo.last.accum <- elo.last.accum[order(elo.last.accum$competitor),]
#
knitr::kable(elo.last.accum[order(elo.last.accum$R.new, decreasing = TRUE),c(1,2,6,7,8)])
```


### #### ##### ######


### ## Up-coming SEASON

