Here is summary of Penalties: Min. 1st Qu. Median Mean 3rd Qu. Max.
19.00 42.00 53.00 52.88 65.00 82.00 Here is summary of Wages: Min. 1st Qu. Median Mean 3rd Qu. Max.
9 26 120 152 240 420 Table for Preferred Foot:
Left Right
0 6 27 The first 10 Name Age Nationality Overall Potential Club Value Wage
7 L. Modri 32 Croatia 91 91 Real Madrid 67 420
9 Sergio Ramos 32 Spain 91 91 Real Madrid 51 380
12 T. Kroos 28 Germany 90 90 Real Madrid 76.5 355
20 T. Courtois 26 Belgium 89 90 Real Madrid 53.5 240
28 Casemiro 26 Brazil 88 90 Real Madrid 59.5 285
31 Isco 26 Spain 88 91 Real Madrid 73.5 315
Special Preferred.Foot International.Reputation Weak.Foot Skill.Moves
7 2280 Right 4 4 4
9 2201 Right 4 3 3
12 2190 Right 4 5 3
20 1311 Left 4 2 1
28 2170 Right 3 3 2
31 2137 Right 3 3 4
Work.Rate Position Jersey.Number Contract.Valid.Until Height Weight
7 High/ High RCM 10 2020 172.72 66.22449
9 High/ Medium RCB 15 2020 182.88 82.10022
12 Medium/ Medium LCM 8 2022 182.88 76.20352
20 Medium/ Medium GK 1 2024 198.12 96.16158
28 Medium/ High CDM 14 2021 185.42 83.91459
31 High/ Medium LW 22 2022 175.26 78.92507
LS ST RS LW LF CF RF RW LAM CAM RAM LM LCM CM RCM
7 77+3 77+3 77+3 85+3 84+3 84+3 84+3 85+3 87+3 87+3 87+3 86+3 88+3 88+3 88+3
9 73+3 73+3 73+3 70+3 71+3 71+3 71+3 70+3 71+3 71+3 71+3 72+3 75+3 75+3 75+3
12 78+3 78+3 78+3 81+3 82+3 82+3 82+3 81+3 84+3 84+3 84+3 82+3 86+3 86+3 86+3
20
28 72+3 72+3 72+3 69+3 73+3 73+3 73+3 69+3 74+3 74+3 74+3 71+3 80+3 80+3 80+3
31 76+3 76+3 76+3 84+3 83+3 83+3 83+3 84+3 86+3 86+3 86+3 83+3 83+3 83+3 83+3
RM LWB LDM CDM RDM RWB LB LCB CB RCB RB Crossing Finishing
7 86+3 82+3 81+3 81+3 81+3 82+3 79+3 71+3 71+3 71+3 79+3 86 72
9 72+3 81+3 84+3 84+3 84+3 81+3 84+3 87+3 87+3 87+3 84+3 66 60
12 82+3 79+3 82+3 82+3 82+3 79+3 77+3 72+3 72+3 72+3 77+3 88 76
20 14 14
28 71+3 78+3 85+3 85+3 85+3 78+3 79+3 85+3 85+3 85+3 79+3 52 59
31 83+3 72+3 73+3 73+3 73+3 72+3 68+3 63+3 63+3 63+3 68+3 75 79
HeadingAccuracy ShortPassing Volleys Dribbling Curve FKAccuracy LongPassing
7 55 93 76 90 85 78 88
9 91 78 66 63 74 72 77
12 54 92 82 81 86 84 93
20 13 33 12 13 19 20 35
28 76 85 53 69 59 74 82
31 55 89 65 94 88 76 83
BallControl Acceleration SprintSpeed Agility Reactions Balance ShotPower
7 93 80 72 93 90 94 79
9 84 76 75 78 85 66 79
12 90 64 62 70 89 71 87
20 23 46 52 61 84 45 36
28 78 59 65 62 84 66 86
31 95 75 69 87 77 90 69
Jumping Stamina Strength LongShots Aggression Interceptions Positioning
7 68 89 58 82 62 83 79
9 93 84 83 59 88 90 60
12 30 75 73 92 60 82 79
20 68 38 70 17 23 15 13
28 88 87 89 79 87 87 69
31 64 70 59 87 58 64 78
Vision Penalties Composure Marking StandingTackle SlidingTackle GKDiving
7 92 82 84 60 76 73 13
9 63 75 82 87 92 91 11
12 86 73 85 72 79 69 10
20 44 27 66 20 18 16 85
28 77 66 84 88 90 87 13
31 89 76 86 60 64 51 10
GKHandling GKKicking GKPositioning GKReflexes Release.Clause
7 9 7 14 9 137.4
9 8 9 7 11 104.6
12 11 13 7 10 156.8
20 91 72 86 88 113.7
28 14 16 12 12 126.4
31 8 12 15 6 156.2The last 10 Name Age Nationality Overall Potential Club Value Wage
10270 Fidalgo 21 Spain 65 75 Real Madrid 875 20
11164 Sergio Lpez 19 Spain 64 80 Real Madrid 875 9
11328 Fran Garca 18 Spain 64 79 Real Madrid 825 9
11878 Manu Hernando 19 Spain 64 76 Real Madrid 700 9
12505 Dani Gmez 19 Spain 63 77 Real Madrid 800 12
13688 L. Zidane 20 France 62 71 Real Madrid 350 9
Special Preferred.Foot International.Reputation Weak.Foot Skill.Moves
10270 1673 Right 1 3 3
11164 1715 Right 1 3 3
11328 1644 Left 1 3 2
11878 1568 Right 1 3 2
12505 1448 Right 1 3 2
13688 944 Right 1 3 1
Work.Rate Position Jersey.Number Contract.Valid.Until Height
10270 High/ Medium CM 36 2019 175.26
11164 High/ Medium RB 32 2019 177.80
11328 High/ Medium LB 37 2019 170.18
11878 Medium/ Medium CB 33 2021 180.34
12505 Medium/ Medium ST 38 2022 177.80
13688 Medium/ Medium GK 30 2019 182.88
Weight LS ST RS LW LF CF RF RW LAM CAM RAM LM LCM
10270 68.03886 57+2 57+2 57+2 63+2 62+2 62+2 62+2 63+2 64+2 64+2 64+2 64+2 64+2
11164 66.22449 58+2 58+2 58+2 61+2 59+2 59+2 59+2 61+2 59+2 59+2 59+2 61+2 58+2
11328 63.04934 53+2 53+2 53+2 60+2 57+2 57+2 57+2 60+2 57+2 57+2 57+2 61+2 57+2
11878 77.11070 51+2 51+2 51+2 52+2 52+2 52+2 52+2 52+2 52+2 52+2 52+2 54+2 54+2
12505 69.85322 61+2 61+2 61+2 57+2 59+2 59+2 59+2 57+2 57+2 57+2 57+2 55+2 48+2
13688 77.11070
CM RCM RM LWB LDM CDM RDM RWB LB LCB CB RCB RB Crossing
10270 64+2 64+2 64+2 58+2 59+2 59+2 59+2 58+2 56+2 52+2 52+2 52+2 56+2 61
11164 58+2 58+2 61+2 63+2 59+2 59+2 59+2 63+2 63+2 59+2 59+2 59+2 63+2 63
11328 57+2 57+2 61+2 63+2 58+2 58+2 58+2 63+2 62+2 57+2 57+2 57+2 62+2 65
11878 54+2 54+2 54+2 60+2 60+2 60+2 60+2 60+2 61+2 63+2 63+2 63+2 61+2 44
12505 48+2 48+2 55+2 39+2 38+2 38+2 38+2 39+2 38+2 36+2 36+2 36+2 38+2 32
13688 12
Finishing HeadingAccuracy ShortPassing Volleys Dribbling Curve FKAccuracy
10270 49 44 69 46 68 62 53
11164 52 56 61 48 64 57 41
11328 42 44 57 39 62 55 36
11878 32 68 62 29 56 44 39
12505 67 58 54 54 60 41 45
13688 8 12 22 6 10 14 11
LongPassing BallControl Acceleration SprintSpeed Agility Reactions
10270 65 70 65 63 68 62
11164 56 63 78 79 69 63
11328 49 65 79 79 68 62
11878 53 64 61 63 61 59
12505 35 66 66 65 70 56
13688 15 14 33 32 36 54
Balance ShotPower Jumping Stamina Strength LongShots Aggression
10270 77 54 51 64 49 48 62
11164 72 63 61 61 51 59 62
11328 89 47 60 66 44 45 63
11878 64 47 59 66 62 45 58
12505 65 59 62 51 70 52 28
13688 49 15 63 38 50 5 16
Interceptions Positioning Vision Penalties Composure Marking
10270 52 59 70 49 68 46
11164 60 50 46 43 62 59
11328 62 49 54 39 60 60
11878 55 43 37 42 47 70
12505 12 61 42 57 44 41
13688 14 5 45 19 36 13
StandingTackle SlidingTackle GKDiving GKHandling GKKicking GKPositioning
10270 51 47 10 9 10 11
11164 61 62 12 12 11 7
11328 58 59 9 6 12 9
11878 65 67 11 12 13 12
12505 12 15 7 10 13 8
13688 11 13 65 60 61 62
GKReflexes Release.Clause
10270 9 2
11164 13 2.3
11328 11 2.2
11878 5 1.6
12505 14 2.1
13688 61 788I decided, after the feedback from the first submission, to add a size element to the chart with another factor, and then I chose the Volleys factor. After putting it into the chart I relized the most volleys seem to happen with more penalties and a little more wages, but mostly penalties. I did two other changes. Next I made sure I had the correct source in my chart since mine was different then theirs. Turns out, theirs was correct and I changed mine. Lastly I added the first 10 and last 10 of the players to account for all the instructions.
Results: This chart shows the relationship between Penalties and Wages with the preferred foot as a color. The relationship is mostly positive, and most of them prefer the right foot to kick. Still, some low wages still get lots of penalties sometimes, but higher wages do tend to get more penalties. If I were to add anything later, I would add a line to show the movement of the dots useing geom.smooth() .
