Fuente: https://fedme.results.info
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Reading Data

BLOC 2022-2024

2022 June-First

Elo June-First 2022

-Competitors = 20-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated First_June_2022

competitor Team R.new Prob.Finals Prob.podium
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 %

2022 June-First - Abs

Elo June-First - Abs

-Competitors = 16-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated June-First_Abs_2022

competitor Team R.new Prob.Finals Prob.podium
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 %

2022 June-Second

Elo June-Second

-Competitors = 16-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated June_Second-2023

competitor Team R.new Prob.Finals Prob.podium
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 %

2022 June-Second-Abs

Elo June-Second-Abss

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated June_Second-Abs 2022

competitor Team R.new Prob.Finals Prob.podium
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 %

2022 Nov

Elo Nov-2022

-Competitors = 16-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated June_Second-2023

competitor Team R.new Prob.Finals Prob.podium
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 %

2022 Nov - Abs

Elo Nov - Abs

-Competitors = 19-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated June-First_Abs_2022

competitor Team R.new Prob.Finals Prob.podium
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

competitor Team R results R.new Prob.Finals Prob.podium
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 %
competitor Team R results R.new Prob.Finals Prob.podium
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 %
competitor Team R results R.new Prob.Finals Prob.podium
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 %

2023 March

Elo 2023 March

-Competitors = r-

[1] 7
[1] 2
competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated March_2023

competitor Team R.new Prob.Finals Prob.podium
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 %

2023 March-Abs

Elo March-Abs 2023

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated Second_2023

competitor Team R.new Prob.Finals Prob.podium
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 %

2023 May

Elo 2023 May

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated Third_2023

competitor Team R.new Prob.Finals Prob.podium
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 %

2023 May-Abs

Elo May-Abs 2023

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated May-Abs_2023

competitor Team R.new Prob.Finals Prob.podium
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 %

2023 June

Elo 2023 June

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated June_2023

competitor Team R.new Prob.Finals Prob.podium
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 %

2023 June-Abs

Elo June-Abs 2023

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated June-Abs_2023

competitor Team R.new Prob.Finals Prob.podium
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 %

2023 Nov

Elo 2023 Nov

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated Nov_2023

competitor Team R.new Prob.Finals Prob.podium
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 %

2023 Nov-Sub20

Elo 2023 Nov-Sub20

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated Nov-Sub20_2023

competitor Team R.new Prob.Finals Prob.podium
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 %

2023 Nov-Abs

Elo 2023 Nov-Abs

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated Nov-Abs_2023

competitor Team R.new Prob.Finals Prob.podium
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

competitor Team R.new Prob.Finals Prob.podium
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 %
competitor Team R results R.new Prob.Finals Prob.podium
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 %
competitor Team R.new Prob.Finals Prob.podium
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 %

2024 April

Elo April 2024

-Competitors = r-

re-instating ‘elo.last.accum’

elo.last.accum <- elo.23.accum 
competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated April_2024

competitor Team R.new Prob.Finals Prob.podium
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 %

2024 April-Abs

Elo April-Abs 2024

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated April-Abs_2024

competitor Team R.new Prob.Finals Prob.podium
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 %

2024 June

Elo June 2024

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated June_2024

competitor Team R.new Prob.Finals Prob.podium
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 %

2024 June-Abs

Elo June-Abs 2024

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated June-Abs_2024

competitor Team R.new Prob.Finals Prob.podium
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 %

2024 Nov

Elo Nov 2024

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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

competitor Team R.new Prob.Finals Prob.podium
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 %

2024 Nov-Abs

Elo Nov-Abs 2024

-Competitors = r-

competitor Team R results R.new Prob.Finals Prob.podium
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 in time

Elo Accumulated June-Abs_2024

competitor Team R.new Prob.Finals Prob.podium
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

