Final Project
Group 4
Krister Martinez
Erland Rivero
Rene Mazuela
library(dplyr)## Warning: package 'dplyr' was built under R version 4.3.2##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionlibrary(scales)## Warning: package 'scales' was built under R version 4.3.3I converted the provided xlsx file to a single sheet csv and imported it into R as Soccercsv
Soccercsv <- read.csv("epl_results_2023-24.csv")
str(Soccercsv)## 'data.frame': 602 obs. of 117 variables:
## $ Rk : int 1 2 3 4 5 6 7 8 9 10 ...
## $ Player : chr "Max Aarons" "Joshua Acheampong" "Bénie Adama Traore" "Tyler Adams" ...
## $ Weekly.Salary : num 46580 2877 24660 64390 64390 ...
## $ Yearly.Salary : int 2422160 149604 1282320 3348280 3348280 2279680 926120 4559360 178100 2065960 ...
## $ Team.Salary.Year : int 84009058 240302494 41563553 84009058 89965434 47591882 88906808 130332894 99247294 86195413 ...
## $ Team.Salary.Week : int 1615559 4621202 799299 1615559 1730105 915229 1709746 2506210 1908602 1657604 ...
## $ Nation : chr "eng ENG" "eng ENG" "ci CIV" "us USA" ...
## $ Position : chr "DF" "DF" "FW,MF" "MF" ...
## $ Team : chr "Bournemouth" "Chelsea" "Sheffield Utd" "Bournemouth" ...
## $ Formation : chr "4-2-3-1" "4-2-3-1" "3-5-2" "4-2-3-1" ...
## $ Player.Position : int 5 NA NA NA NA 11 5 NA NA NA ...
## $ Primary : int 1 NA NA NA NA 1 1 NA NA NA ...
## $ X : int 36 NA NA NA NA 25 36 NA NA NA ...
## $ Y : int 16 NA NA NA NA 36 16 NA NA NA ...
## $ Age : int 23 17 20 24 25 25 21 27 20 21 ...
## $ Born : int 2000 2006 2002 1999 1997 1998 2002 1996 2003 2002 ...
## $ Matches.Payed : int 20 1 8 3 20 27 31 21 1 20 ...
## $ Starts : int 13 0 3 1 18 16 25 21 0 0 ...
## $ Minutes : chr "1,237" "6" "387" "121" ...
## $ X90s.Completed : num 13.7 0.1 4.3 1.3 18 15.8 24.7 20.6 0.1 3.9 ...
## $ Assit : int 0 0 0 0 2 10 6 1 0 0 ...
## $ Goals...Assist : int 1 0 0 0 0 0 1 0 0 0 ...
## $ Non.Penalty.Goals : int 1 0 0 0 2 10 7 1 0 0 ...
## $ Penalty.Kicks.Made : int 0 0 0 0 2 10 6 1 0 0 ...
## $ Penalty.Kicks.Attempted : int 0 0 0 0 0 0 0 0 0 0 ...
## $ Yellow.Cards : int 0 0 0 0 0 0 0 0 0 0 ...
## $ Red.Cards : int 1 0 0 0 2 1 3 3 0 4 ...
## $ Expected.Goals : int 0 0 0 0 0 0 0 1 0 1 ...
## $ Xgoals : num 0 0 0.3 0 0.7 5.9 4.3 1.5 0 0.5 ...
## $ Non.Penalty.Expected.Goals: num 0 0 0.3 0 0.7 5.9 4.3 1.5 0 0.5 ...
## $ Expected.Assisted.Goals : num 0.8 0 0.5 0.1 0.1 0.7 3.7 0.3 0 0 ...
## $ npxG.xAG : num 0.9 0 0.8 0.1 0.8 6.6 8 1.8 0 0.5 ...
## $ PrgC : int 22 0 7 4 10 16 111 10 0 19 ...
## $ PrgP : int 43 0 9 5 62 23 50 68 0 25 ...
## $ PrgR : int 26 0 14 1 5 110 278 3 1 20 ...
## $ Gls : num 0 0 0 0 0.11 0.63 0.24 0.05 0 0 ...
## $ Ast : num 0.07 0 0 0 0 0 0.04 0 0 0 ...
## $ G.A : num 0.07 0 0 0 0.11 0.63 0.28 0.05 0 0 ...
## $ G.PK : num 0 0 0 0 0.11 0.63 0.24 0.05 0 0 ...
## $ G.A.PK : num 0.07 0 0 0 0.11 0.63 0.28 0.05 0 0 ...
## $ xG : num 0 0 0.06 0 0.04 0.37 0.17 0.07 0 0.13 ...
## $ xAG : num 0.06 0 0.13 0.06 0.01 0.04 0.15 0.01 0 0.01 ...
## $ xG.xAG : num 0.06 0 0.19 0.06 0.05 0.42 0.32 0.09 0 0.13 ...
## $ npxG : num 0 0 0.06 0 0.04 0.37 0.17 0.07 0 0.13 ...
## $ npxG.xAG.1 : num 0.06 0 0.19 0.06 0.05 0.42 0.32 0.09 0 0.13 ...
## $ Goals : int 0 0 0 0 2 10 6 1 0 0 ...
## $ Sh : int 2 0 1 0 14 31 52 14 0 9 ...
## $ Shots.On.Target : int 0 0 1 0 5 14 22 3 0 2 ...
## $ SoT. : num 0 NA 100 NA 35.7 45.2 42.3 21.4 NA 22.2 ...
## $ Sh.90 : num 0.15 0 0.23 0 0.78 1.97 2.11 0.68 0 2.32 ...
## $ Shots.On.Target..90 : num 0 0 0.23 0 0.28 0.89 0.89 0.15 0 0.52 ...
## $ G.Sh : num 0 NA 0 NA 0.14 0.32 0.12 0.07 NA 0 ...
## $ G.SoT : num NA NA 0 NA 0.4 0.71 0.27 0.33 NA 0 ...
## $ Dist : num 23.9 NA 15.3 NA 14.2 9.6 15.9 10.8 NA 20.4 ...
## $ FK : int 0 0 0 0 0 0 0 0 0 0 ...
## $ PK : int 0 0 0 0 0 0 0 0 0 0 ...
## $ PKatt : int 0 0 0 0 0 0 0 0 0 0 ...
## $ xG.1 : num 0 0 0.3 0 0.7 5.9 4.3 1.5 0 0.5 ...
## $ npxG.1 : num 0 0 0.3 0 0.7 5.9 4.3 1.5 0 0.5 ...
## $ npxG.Sh : num 0.02 NA 0.27 NA 0.05 0.19 0.08 0.11 NA 0.05 ...
## $ G.xG : num 0 0 -0.3 0 1.3 4.1 1.7 -0.5 0 -0.5 ...
## $ np.G.xG : num 0 0 -0.3 0 1.3 4.1 1.7 -0.5 0 -0.5 ...
## $ Tkl : int 29 0 4 4 21 4 45 26 0 13 ...
## $ Takles.Won : int 19 0 2 3 11 1 20 14 0 9 ...
## $ Def.3rd : int 20 0 1 1 16 1 23 19 0 5 ...
## $ Mid.3rd : int 7 0 2 3 5 0 11 7 0 6 ...
## $ Att.3rd : int 2 0 1 0 0 3 11 0 0 2 ...
## $ Tkl.1 : int 20 0 0 2 12 1 19 16 0 8 ...
## $ Att : int 34 0 4 3 21 12 42 22 0 17 ...
## $ Tkl. : num 58.8 NA 0 66.7 57.1 8.3 45.2 72.7 NA 47.1 ...
## $ Lost : int 14 0 4 1 9 11 23 6 0 9 ...
## $ Blocks : int 9 3 4 2 16 13 31 33 0 3 ...
## $ Sh.1 : int 5 3 1 0 11 2 1 24 0 0 ...
## $ Pass : int 4 0 3 2 5 11 30 9 0 3 ...
## $ Interceptions : int 8 0 1 4 25 6 19 17 0 2 ...
## $ Tkl.Int : int 37 0 5 8 46 10 64 43 0 15 ...
## $ Clr : int 27 0 1 2 80 25 22 85 0 4 ...
## $ Err : int 0 0 0 0 0 0 0 2 0 0 ...
## $ Cmp : int 450 1 55 59 1028 144 634 943 4 150 ...
## $ Att.1 : int 581 2 71 71 1216 204 840 1177 8 187 ...
## $ Total.Passing.Accuracy.. : num 77.5 50 77.5 83.1 84.5 70.6 75.5 80.1 50 80.2 ...
## $ TotDist : int 7402 18 775 973 21010 1847 8828 19870 48 2455 ...
## $ PrgDist : int 2789 7 185 262 7956 385 1713 8804 23 628 ...
## $ Cmp.1 : int 220 0 34 35 277 94 412 335 3 76 ...
## $ Att.2 : int 248 0 38 39 307 122 491 360 6 89 ...
## $ Short.Pass.. : num 88.7 NA 89.5 89.7 90.2 77 83.9 93.1 50 85.4 ...
## $ Cmp.2 : int 188 1 19 18 627 41 185 452 1 59 ...
## $ Att.3 : int 235 1 23 24 699 60 245 493 2 69 ...
## $ Midium.Pass.. : num 80 100 82.6 75 89.7 68.3 75.5 91.7 50 85.5 ...
## $ Cmp.3 : int 34 0 1 6 115 3 20 143 0 10 ...
## $ Att.4 : int 63 1 1 8 177 6 38 297 0 14 ...
## $ Long.Pass.. : num 54 0 100 75 65 50 52.6 48.1 NA 71.4 ...
## $ Assist : int 1 0 0 0 0 0 1 0 0 0 ...
## $ xAG.1 : num 0.8 0 0.5 0.1 0.1 0.7 3.7 0.3 0 0 ...
## $ xA : num 0.9 0 0.5 0 0.3 0.4 3.5 0.4 0 0.1 ...
## $ A.xAG : num 0.2 0 -0.5 -0.1 -0.1 -0.7 -2.7 -0.3 0 0 ...
## $ Key.Passes : int 7 0 4 1 2 14 33 4 0 1 ...
## $ X3.Jan : int 25 0 2 9 47 9 17 74 1 12 ...
## $ PPA : int 13 0 7 0 2 4 33 2 0 0 ...
## [list output truncated]Here I am looking at the first 10 rows of the dataframe. Notice that R has replaced the spaces for dots in the name of the columns and the columns that have a number to start now have an X as the fist letter.
# Get the first 10 rows of the dataset
sampled_Soccercsv_data <- head(Soccercsv, 10)
# Print the sampled data
print(sampled_Soccercsv_data)## Rk Player Weekly.Salary Yearly.Salary Team.Salary.Year
## 1 1 Max Aarons 46580 2422160 84009058
## 2 2 Joshua Acheampong 2877 149604 240302494
## 3 3 Bénie Adama Traore 24660 1282320 41563553
## 4 4 Tyler Adams 64390 3348280 84009058
## 5 5 Tosin Adarabioyo 64390 3348280 89965434
## 6 6 Elijah Adebayo 43840 2279680 47591882
## 7 7 Simon Adingra 17810 926120 88906808
## 8 8 Nayef Aguerd 87680 4559360 130332894
## 9 9 Brandon Aguilera 3425 178100 99247294
## 10 10 Naouirou Ahamada 39730 2065960 86195413
## Team.Salary.Week Nation Position Team Formation Player.Position
## 1 1615559 eng ENG DF Bournemouth 4-2-3-1 5
## 2 4621202 eng ENG DF Chelsea 4-2-3-1 NA
## 3 799299 ci CIV FW,MF Sheffield Utd 3-5-2 NA
## 4 1615559 us USA MF Bournemouth 4-2-3-1 NA
## 5 1730105 eng ENG DF Fulham 4-2-3-1 NA
## 6 915229 eng ENG FW Luton Town 3-4-2-1 11
## 7 1709746 ci CIV FW Brighton 4-2-3-1 5
## 8 2506210 ma MAR DF West Ham 4-2-3-1 NA
## 9 1908602 cr CRC FW Nott'ham Forest 4-2-3-1 NA
## 10 1657604 fr FRA MF,FW Crystal Palace 4-3-3 NA
## Primary X Y Age Born Matches.Payed Starts Minutes X90s.Completed Assit
## 1 1 36 16 23 2000 20 13 1,237 13.7 0
## 2 NA NA NA 17 2006 1 0 6 0.1 0
## 3 NA NA NA 20 2002 8 3 387 4.3 0
## 4 NA NA NA 24 1999 3 1 121 1.3 0
## 5 NA NA NA 25 1997 20 18 1,617 18.0 2
## 6 1 25 36 25 1998 27 16 1,419 15.8 10
## 7 1 36 16 21 2002 31 25 2,222 24.7 6
## 8 NA NA NA 27 1996 21 21 1,857 20.6 1
## 9 NA NA NA 20 2003 1 0 5 0.1 0
## 10 NA NA NA 21 2002 20 0 349 3.9 0
## Goals...Assist Non.Penalty.Goals Penalty.Kicks.Made Penalty.Kicks.Attempted
## 1 1 1 0 0
## 2 0 0 0 0
## 3 0 0 0 0
## 4 0 0 0 0
## 5 0 2 2 0
## 6 0 10 10 0
## 7 1 7 6 0
## 8 0 1 1 0
## 9 0 0 0 0
## 10 0 0 0 0
## Yellow.Cards Red.Cards Expected.Goals Xgoals Non.Penalty.Expected.Goals
## 1 0 1 0 0.0 0.0
## 2 0 0 0 0.0 0.0
## 3 0 0 0 0.3 0.3
## 4 0 0 0 0.0 0.0
## 5 0 2 0 0.7 0.7
## 6 0 1 0 5.9 5.9
## 7 0 3 0 4.3 4.3
## 8 0 3 1 1.5 1.5
## 9 0 0 0 0.0 0.0
## 10 0 4 1 0.5 0.5
## Expected.Assisted.Goals npxG.xAG PrgC PrgP PrgR Gls Ast G.A G.PK G.A.PK
## 1 0.8 0.9 22 43 26 0.00 0.07 0.07 0.00 0.07
## 2 0.0 0.0 0 0 0 0.00 0.00 0.00 0.00 0.00
## 3 0.5 0.8 7 9 14 0.00 0.00 0.00 0.00 0.00
## 4 0.1 0.1 4 5 1 0.00 0.00 0.00 0.00 0.00
## 5 0.1 0.8 10 62 5 0.11 0.00 0.11 0.11 0.11
## 6 0.7 6.6 16 23 110 0.63 0.00 0.63 0.63 0.63
## 7 3.7 8.0 111 50 278 0.24 0.04 0.28 0.24 0.28
## 8 0.3 1.8 10 68 3 0.05 0.00 0.05 0.05 0.05
## 9 0.0 0.0 0 0 1 0.00 0.00 0.00 0.00 0.00
## 10 0.0 0.5 19 25 20 0.00 0.00 0.00 0.00 0.00
## xG xAG xG.xAG npxG npxG.xAG.1 Goals Sh Shots.On.Target SoT. Sh.90
## 1 0.00 0.06 0.06 0.00 0.06 0 2 0 0.0 0.15
## 2 0.00 0.00 0.00 0.00 0.00 0 0 0 NA 0.00
## 3 0.06 0.13 0.19 0.06 0.19 0 1 1 100.0 0.23
## 4 0.00 0.06 0.06 0.00 0.06 0 0 0 NA 0.00
## 5 0.04 0.01 0.05 0.04 0.05 2 14 5 35.7 0.78
## 6 0.37 0.04 0.42 0.37 0.42 10 31 14 45.2 1.97
## 7 0.17 0.15 0.32 0.17 0.32 6 52 22 42.3 2.11
## 8 0.07 0.01 0.09 0.07 0.09 1 14 3 21.4 0.68
## 9 0.00 0.00 0.00 0.00 0.00 0 0 0 NA 0.00
## 10 0.13 0.01 0.13 0.13 0.13 0 9 2 22.2 2.32
## Shots.On.Target..90 G.Sh G.SoT Dist FK PK PKatt xG.1 npxG.1 npxG.Sh G.xG
## 1 0.00 0.00 NA 23.9 0 0 0 0.0 0.0 0.02 0.0
## 2 0.00 NA NA NA 0 0 0 0.0 0.0 NA 0.0
## 3 0.23 0.00 0.00 15.3 0 0 0 0.3 0.3 0.27 -0.3
## 4 0.00 NA NA NA 0 0 0 0.0 0.0 NA 0.0
## 5 0.28 0.14 0.40 14.2 0 0 0 0.7 0.7 0.05 1.3
## 6 0.89 0.32 0.71 9.6 0 0 0 5.9 5.9 0.19 4.1
## 7 0.89 0.12 0.27 15.9 0 0 0 4.3 4.3 0.08 1.7
## 8 0.15 0.07 0.33 10.8 0 0 0 1.5 1.5 0.11 -0.5
## 9 0.00 NA NA NA 0 0 0 0.0 0.0 NA 0.0
## 10 0.52 0.00 0.00 20.4 0 0 0 0.5 0.5 0.05 -0.5
## np.G.xG Tkl Takles.Won Def.3rd Mid.3rd Att.3rd Tkl.1 Att Tkl. Lost Blocks
## 1 0.0 29 19 20 7 2 20 34 58.8 14 9
## 2 0.0 0 0 0 0 0 0 0 NA 0 3
## 3 -0.3 4 2 1 2 1 0 4 0.0 4 4
## 4 0.0 4 3 1 3 0 2 3 66.7 1 2
## 5 1.3 21 11 16 5 0 12 21 57.1 9 16
## 6 4.1 4 1 1 0 3 1 12 8.3 11 13
## 7 1.7 45 20 23 11 11 19 42 45.2 23 31
## 8 -0.5 26 14 19 7 0 16 22 72.7 6 33
## 9 0.0 0 0 0 0 0 0 0 NA 0 0
## 10 -0.5 13 9 5 6 2 8 17 47.1 9 3
## Sh.1 Pass Interceptions Tkl.Int Clr Err Cmp Att.1 Total.Passing.Accuracy..
## 1 5 4 8 37 27 0 450 581 77.5
## 2 3 0 0 0 0 0 1 2 50.0
## 3 1 3 1 5 1 0 55 71 77.5
## 4 0 2 4 8 2 0 59 71 83.1
## 5 11 5 25 46 80 0 1028 1216 84.5
## 6 2 11 6 10 25 0 144 204 70.6
## 7 1 30 19 64 22 0 634 840 75.5
## 8 24 9 17 43 85 2 943 1177 80.1
## 9 0 0 0 0 0 0 4 8 50.0
## 10 0 3 2 15 4 0 150 187 80.2
## TotDist PrgDist Cmp.1 Att.2 Short.Pass.. Cmp.2 Att.3 Midium.Pass.. Cmp.3
## 1 7402 2789 220 248 88.7 188 235 80.0 34
## 2 18 7 0 0 NA 1 1 100.0 0
## 3 775 185 34 38 89.5 19 23 82.6 1
## 4 973 262 35 39 89.7 18 24 75.0 6
## 5 21010 7956 277 307 90.2 627 699 89.7 115
## 6 1847 385 94 122 77.0 41 60 68.3 3
## 7 8828 1713 412 491 83.9 185 245 75.5 20
## 8 19870 8804 335 360 93.1 452 493 91.7 143
## 9 48 23 3 6 50.0 1 2 50.0 0
## 10 2455 628 76 89 85.4 59 69 85.5 10
## Att.4 Long.Pass.. Assist xAG.1 xA A.xAG Key.Passes X3.Jan PPA CrsPA PrgP.1
## 1 63 54.0 1 0.8 0.9 0.2 7 25 13 2 43
## 2 1 0.0 0 0.0 0.0 0.0 0 0 0 0 0
## 3 1 100.0 0 0.5 0.5 -0.5 4 2 7 1 9
## 4 8 75.0 0 0.1 0.0 -0.1 1 9 0 0 5
## 5 177 65.0 0 0.1 0.3 -0.1 2 47 2 0 62
## 6 6 50.0 0 0.7 0.4 -0.7 14 9 4 0 23
## 7 38 52.6 1 3.7 3.5 -2.7 33 17 33 11 50
## 8 297 48.1 0 0.3 0.4 -0.3 4 74 2 0 68
## 9 0 NA 0 0.0 0.0 0.0 0 1 0 0 0
## 10 14 71.4 0 0.0 0.1 0.0 1 12 0 0 25
## CrdY CrdR X2CrdY Fls Fld Off Corsses Int TklW PKwon PKcon OG Recov Won
## 1 1 0 0 12 26 2 13 8 19 0 1 0 75 5
## 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0
## 3 0 0 0 10 4 1 3 1 2 0 0 0 22 2
## 4 0 0 0 0 3 0 1 4 3 0 0 0 7 2
## 5 2 0 0 10 5 0 1 25 11 0 0 0 43 56
## 6 1 0 0 27 16 13 5 6 1 0 0 0 34 43
## 7 3 0 0 29 19 17 76 19 20 1 0 0 118 8
## 8 3 1 1 10 6 0 5 17 14 0 1 0 102 48
## 9 0 0 0 3 0 0 0 0 0 0 0 0 0 0
## 10 4 1 1 9 6 1 6 2 9 0 0 0 30 3
## Lost.1 Aerial.Dual.Won..
## 1 11 31.3
## 2 1 0.0
## 3 18 10.0
## 4 3 40.0
## 5 28 66.7
## 6 43 50.0
## 7 12 40.0
## 8 32 60.0
## 9 0 NA
## 10 3 50.0I am exporting the Soccercsv data frame to csv so that I can look at the data in excel for double checking
# Export the data frame to a CSV file
write.csv(Soccercsv, file = "Soccercsv.csv", row.names = TRUE)
# The file will be saved in the current working directory
# You can check the working directory with the getwd() function
print(getwd())## [1] "C:/Users/krist/OneDrive/Desktop/MDC/Summer 2024/DA Special Topics CAP 4936/R in-class activities"Here we have a dataset with only the columns suggested to be used for the index calculations for each of the positions
# Selecting specific columns
All_Positions_Soccer <- Soccercsv %>% select(Rk, Player, Weekly.Salary, Yearly.Salary, Team.Salary.Year, Team.Salary.Week, Nation, Position, Team, Formation, Age, Born, Matches.Payed, X90s.Completed, Goals, Takles.Won, Total.Passing.Accuracy.., Short.Pass.., Long.Pass.., Assist, Key.Passes, Corsses, Aerial.Dual.Won..)
# Print the All_Positions_Soccer dataset
print(All_Positions_Soccer)## Rk Player Weekly.Salary Yearly.Salary Team.Salary.Year
## 1 1 Max Aarons 46580.000 2422160 84009058
## 2 2 Joshua Acheampong 2877.000 149604 240302494
## 3 3 Bénie Adama Traore 24660.000 1282320 41563553
## 4 4 Tyler Adams 64390.000 3348280 84009058
## 5 5 Tosin Adarabioyo 64390.000 3348280 89965434
## 6 6 Elijah Adebayo 43840.000 2279680 47591882
## 7 7 Simon Adingra 17810.000 926120 88906808
## 8 8 Nayef Aguerd 87680.000 4559360 130332894
## 9 9 Brandon Aguilera 3425.000 178100 99247294
## 10 10 Naouirou Ahamada 39730.000 2065960 86195413
## 11 11 Anel Ahmedhodžić 38360.000 1994720 41563553
## 12 12 Ola Aina 46580.000 2422160 99247294
## 13 13 Rayan Aït-Nouri 45210.000 2350920 81172281
## 14 14 Kristoffer Ajer 47950.000 2493400 64432306
## 15 15 Manuel Akanji 178100.000 9261200 261781354
## 16 16 Nathan Aké 226050.000 11754600 261781354
## 17 17 Thiago Alcántara 274000.000 14248000 214520738
## 18 18 Trent Alexander-Arnold 263040.000 13678080 214520738
## 19 19 Alisson 308250.000 16029000 214520738
## 20 20 Miguel Almirón 137000.000 7124000 143759470
## 21 21 Edson Álvarez 137000.000 7124000 130332894
## 22 22 Julián Álvarez 178100.000 9261200 261781354
## 23 23 Zeki Amdouni 61650.000 3205800 57564770
## 24 24 Sofyan Amrabat 41100.000 2137200 285744352
## 25 25 Joachim Andersen 102750.000 5343000 86195413
## 26 26 Elliot Anderson 19180.000 997360 143759470
## 27 27 Jaidon Anthony 25000.000 1300000 84009058
## 28 28 Michail Antonio 94530.000 4915560 130332894
## 29 29 Antony 205500.000 10686000 285744352
## 30 30 Oliver Arblaster 20000.000 1040000 41563553
## 31 31 Cameron Archer 50690.000 2635880 41563553
## 32 32 Cameron Archer 30000.000 1560000 157232379
## 33 33 Alphonse Areola 164400.000 8548800 130332894
## 34 34 Lorenz Assignon 10000.000 520000 57564770
## 35 35 Serge Aurier 58910.000 3063320 99247294
## 36 36 Taiwo Awoniyi 57540.000 2992080 99247294
## 37 37 Jordan Ayew 68500.000 3562000 86195413
## 38 38 Benoît Badiashile 164400.000 8548800 240302494
## 39 39 Leon Bailey 123300.000 6411600 157232379
## 40 40 Stefan Bajcetic 10412.000 541424 214520738
## 41 41 George Baldock 35620.000 1852240 41563553
## 42 42 Carlos Baleba 27400.000 1424800 88906808
## 43 43 Fodé Ballo-Touré 31510.000 1638520 89965434
## 44 44 Shandon Baptiste 28770.000 1496040 64432306
## 45 45 Valentín Barco 25000.000 1300000 88906808
## 46 46 Ross Barkley 58910.000 3063320 47591882
## 47 47 Harvey Barnes 164400.000 8548800 143759470
## 48 48 Chris Basham 32880.000 1709760 41563553
## 49 49 Calvin Bassey 64390.000 3348280 89965434
## 50 50 Owen Beck 3625.000 188479 214520738
## 51 51 Donny van de Beek 191800.000 9973600 285744352
## 52 52 Amari'i Bell 38360.000 1994720 47591882
## 53 53 Jean-Ricner Bellegarde 61650.000 3205800 81172281
## 54 54 Anis Ben Slimane 27400.000 1424800 41563553
## 55 55 Saïd Benrahma 79460.000 4131920 130332894
## 56 56 Rodrigo Bentancur 137000.000 7124000 194804355
## 57 57 Daniel Bentley 23290.000 1211080 81172281
## 58 58 Jóhann Berg Guðmundsson 41100.000 2137200 57564770
## 59 59 Sander Berge 65760.000 3419520 57564770
## 60 60 Luke Berry 21920.000 1139840 47591882
## 61 61 Beto 72610.000 3775720 118806236
## 62 62 Jordan Beyer 54800.000 2849600 57564770
## 63 63 Philip Billing 73980.000 3846960 84009058
## 64 64 Yves Bissouma 137000.000 7124000 194804355
## 65 65 Benicio Boaitey 7692.308 400000 88906808
## 66 66 Oscar Bobb 9316.000 484432 261781354
## 67 67 Jayden Bogle 30140.000 1567280 41563553
## 68 68 Willy Boly 63020.000 3277040 99247294
## 69 69 Sven Botman 120560.000 6269120 143759470
## 70 70 Jarrod Bowen 171250.000 8905000 130332894
## 71 71 Conor Bradley 6028.000 313456 214520738
## 72 72 Jarrad Branthwaite 54800.000 2849600 118806236
## 73 73 Ben Brereton 3846.000 200000 41563553
## 74 74 Rhian Brewster 46580.000 2422160 41563553
## 75 75 Armando Broja 106860.000 5556720 240302494
## 76 76 Armando Broja 40000.000 2080000 89965434
## 77 77 Andre Brooks 20000.000 1040000 41563553
## 78 78 David Brooks 50690.000 2635880 84009058
## 79 79 Jacob Brown 31510.000 1638520 47591882
## 80 80 Josh Brownhill 41100.000 2137200 57564770
## 81 81 Jacob Bruun Larsen 34250.000 1781000 57564770
## 82 82 Hugo Bueno 7124.000 370448 81172281
## 83 83 Santiago Bueno 38360.000 1994720 81172281
## 84 84 Facundo Buonanotte 23290.000 1211080 88906808
## 85 85 Reece Burke 31510.000 1638520 47591882
## 86 86 Dan Burn 98640.000 5129280 143759470
## 87 87 Mason Burstow 34615.000 1800000 240302494
## 88 88 Moisés Caicedo 191800.000 9973600 240302494
## 89 89 Tom Cairney 36990.000 1923480 89965434
## 90 90 Dominic Calvert-Lewin 164400.000 8548800 118806236
## 91 91 Thomas Cannon 8000.000 416000 118806236
## 92 92 Diego Carlos 137000.000 7124000 157232379
## 93 93 Cesare Casadei 7500.000 390000 240302494
## 94 94 Casemiro 411000.000 21372000 285744352
## 95 95 Kaelan Casey 19231.000 1000000 130332894
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## 506 506 Dominik Szoboszlai 164400.000 8548800 214520738
## 507 507 Matt Targett 108230.000 5627960 143759470
## 508 508 James Tarkowski 137000.000 7124000 118806236
## 509 509 Jimi Tauriainen 4247.000 220844 240302494
## 510 510 Nuno Tavares 39730.000 2065960 99247294
## 511 511 Marcus Tavernier 53430.000 2778360 84009058
## 512 512 Charlie Taylor 43840.000 2279680 57564770
## 513 513 Kenny Tete 47950.000 2493400 89965434
## 514 514 Luke Thomas 27400.000 1424800 41563553
## 515 515 Youri Tielemans 205500.000 10686000 157232379
## 516 516 Jurriën Timber 150700.000 7836400 214827070
## 517 517 Harry Toffolo 49320.000 2564640 99247294
## 518 518 Takehiro Tomiyasu 84940.000 4416880 214827070
## 519 519 James Tomkins 34250.000 1781000 86195413
## 520 520 Sandro Tonali 182210.000 9474920 143759470
## 521 521 Ivan Toney 49320.000 2564640 64432306
## 522 522 Pau Torres 164400.000 8548800 157232379
## 523 523 Andros Townsend 20000.000 1040000 47591882
## 524 524 James Trafford 54800.000 2849600 57564770
## 525 525 Adama Traoré 86310.000 4488120 89965434
## 526 526 Bertrand Traoré 86310.000 4488120 157232379
## 527 527 Boubacar Traoré 72610.000 3775720 81172281
## 528 528 Mark Travers 20000.000 1040000 84009058
## 529 529 Mike Trésor 17810.000 926120 57564770
## 530 530 Kieran Trippier 137000.000 7124000 143759470
## 531 531 Leandro Trossard 150700.000 7836400 214827070
## 532 532 Auston Trusty 31510.000 1638520 41563553
## 533 533 Kostas Tsimikas 109600.000 5699200 214520738
## 534 534 Matt Turner 53430.000 2778360 99247294
## 535 535 Destiny Udogie 71240.000 3704480 194804355
## 536 536 Lesley Ugochukwu 68500.000 3562000 240302494
## 537 537 Enes Ünal 15000.000 780000 84009058
## 538 538 Virgil van Dijk 328800.000 17097600 214520738
## 539 539 Raphaël Varane 479500.000 24934000 285744352
## 540 540 Alejo Véliz 45210.000 2350920 194804355
## 541 541 Joël Veltman 75350.000 3918200 88906808
## 542 542 Micky van de Ven 137000.000 7124000 194804355
## 543 543 Bart Verbruggen 31510.000 1638520 88906808
## 544 544 Guglielmo Vicario 110970.000 5770440 194804355
## 545 545 Fabio Vieira 112340.000 5841680 214827070
## 546 546 Carlos Vinícius 78090.000 4060680 89965434
## 547 547 Vitinho 23290.000 1211080 57564770
## 548 548 Odisseas Vlachodimos 53430.000 2778360 99247294
## 549 549 Kyle Walker 246600.000 12823200 261781354
## 550 550 Aaron Wan-Bissaka 137000.000 7124000 285744352
## 551 551 Joel Ward 54800.000 2849600 86195413
## 552 552 James Ward-Prowse 137000.000 7124000 130332894
## 553 553 Lewis Warrington 9615.000 500000 118806236
## 554 554 Deivid Washington 57540.000 2992080 240302494
## 555 555 Ollie Watkins 164400.000 8548800 157232379
## 556 556 Adam Webster 79460.000 4131920 88906808
## 557 557 Danny Welbeck 71240.000 3704480 88906808
## 558 558 Timo Werner 170192.000 8850000 194804355
## 559 559 Adam Wharton 35000.000 1820000 86195413
## 560 560 Ethan Wheatley 288.000 15000 285744352
## 561 561 Ben White 127410.000 6625320 214827070
## 562 562 Joe White 5769.000 300000 143759470
## 563 563 Neco Williams 53430.000 2778360 99247294
## 564 564 Willian 124670.000 6482840 89965434
## 565 565 Joe Willock 109600.000 5699200 143759470
## 566 566 Callum Wilson 150700.000 7836400 143759470
## 567 567 Harry Wilson 56170.000 2920840 89965434
## 568 568 Yoane Wissa 35620.000 1852240 64432306
## 569 569 Chris Wood 112340.000 5841680 99247294
## 570 570 Cauley Woodrow 32880.000 1709760 47591882
## 571 571 Joe Worrall 54800.000 2849600 99247294
## 572 572 Yehor Yarmoliuk 1923078.000 10000000 64432306
## 573 573 Ryan Yates 31510.000 1638520 99247294
## 574 574 Ashley Young 58910.000 3063320 118806236
## 575 575 Illia Zabarnyi 63020.000 3277040 84009058
## 576 576 Nicolò Zaniolo 76720.000 3989440 157232379
## 577 577 Anass Zaroury 45210.000 2350920 57564770
## 578 578 Oleksandr Zinchenko 164400.000 8548800 214827070
## 579 579 Kurt Zouma 137000.000 7124000 130332894
## 580 580 Martin Ødegaard 308250.000 16029000 214827070
## 581 NA NA NA NA
## 582 NA NA NA NA
## 583 NA NA NA NA
## 584 NA NA NA NA
## 585 NA NA NA NA
## 586 NA NA NA NA
## 587 NA NA NA NA
## 588 NA NA NA NA
## 589 NA NA NA NA
## 590 NA NA NA NA
## 591 NA NA NA NA
## 592 NA NA NA NA
## 593 NA NA NA NA
## 594 NA NA NA NA
## 595 NA NA NA NA
## 596 NA NA NA NA
## 597 NA NA NA NA
## 598 NA NA NA NA
## 599 NA NA NA NA
## 600 NA NA NA NA
## 601 NA NA NA NA
## 602 NA NA NA NA
## Team.Salary.Week Nation Position Team Formation Age Born
## 1 1615559 eng ENG DF Bournemouth 4-2-3-1 23 2000
## 2 4621202 eng ENG DF Chelsea 4-2-3-1 17 2006
## 3 799299 ci CIV FW,MF Sheffield Utd 3-5-2 20 2002
## 4 1615559 us USA MF Bournemouth 4-2-3-1 24 1999
## 5 1730105 eng ENG DF Fulham 4-2-3-1 25 1997
## 6 915229 eng ENG FW Luton Town 3-4-2-1 25 1998
## 7 1709746 ci CIV FW Brighton 4-2-3-1 21 2002
## 8 2506210 ma MAR DF West Ham 4-2-3-1 27 1996
## 9 1908602 cr CRC FW Nott'ham Forest 4-2-3-1 20 2003
## 10 1657604 fr FRA MF,FW Crystal Palace 4-3-3 21 2002
## 11 799299 ba BIH DF Sheffield Utd 3-5-2 24 1999
## 12 1908602 ng NGA DF Nott'ham Forest 4-2-3-1 26 1996
## 13 1561005 dz ALG DF,MF Wolves 3-4-2-1 22 2001
## 14 1239083 no NOR DF Brentford 3-5-2 25 1998
## 15 5034257 ch SUI DF,MF Manchester City 4-2-3-1 28 1995
## 16 5034257 nl NED DF Manchester City 4-2-3-1 28 1995
## 17 4125399 es ESP MF Liverpool 4-3-3 32 1991
## 18 4125399 eng ENG DF Liverpool 4-3-3 24 1998
## 19 4125399 br BRA GK Liverpool 4-3-3 30 1992
## 20 2764605 py PAR FW Newcastle Utd 4-3-3 29 1994
## 21 2506210 mx MEX MF West Ham 4-2-3-1 25 1997
## 22 5034257 ar ARG MF,FW Manchester City 4-2-3-1 23 2000
## 23 1107015 ch SUI FW Burnley 4-4-2 22 2000
## 24 5495084 ma MAR MF,DF Manchester Utd 4-2-3-1 26 1996
## 25 1657604 dk DEN DF Crystal Palace 4-3-3 27 1996
## 26 2764605 sct SCO MF,FW Newcastle Utd 4-3-3 20 2002
## 27 1615559 eng ENG FW Bournemouth 4-2-3-1 23 1999
## 28 2506210 jm JAM FW West Ham 4-2-3-1 33 1990
## 29 5495084 br BRA FW Manchester Utd 4-2-3-1 23 2000
## 30 799299 eng ENG MF Sheffield Utd 3-5-2 19 2004
## 31 799299 eng ENG FW,MF Sheffield Utd 3-5-2 22 2001
## 32 3023700 eng ENG MF Aston Villa 4-2-3-1 22 2001
## 33 2506210 fr FRA GK West Ham 4-2-3-1 30 1993
## 34 1107015 tg TOG DF Burnley 4-4-2 23 2000
## 35 1908602 ci CIV DF,MF Nott'ham Forest 4-2-3-1 30 1992
## 36 1908602 ng NGA FW Nott'ham Forest 4-2-3-1 25 1997
## 37 1657604 gh GHA FW,MF Crystal Palace 4-3-3 31 1991
## 38 4621202 fr FRA DF Chelsea 4-2-3-1 22 2001
## 39 3023700 jm JAM MF,FW Aston Villa 4-2-3-1 25 1997
## 40 4125399 es ESP MF Liverpool 4-3-3 18 2004
## 41 799299 gr GRE DF Sheffield Utd 3-5-2 30 1993
## 42 1709746 cm CMR MF Brighton 4-2-3-1 19 2004
## 43 1730105 sn SEN DF,MF Fulham 4-2-3-1 26 1997
## 44 1239083 gd GRN MF Brentford 3-5-2 25 1998
## 45 1709746 ar ARG DF,FW Brighton 4-2-3-1 19 2004
## 46 915229 eng ENG MF Luton Town 3-4-2-1 29 1993
## 47 2764605 eng ENG FW,MF Newcastle Utd 4-3-3 25 1997
## 48 799299 eng ENG DF,MF Sheffield Utd 3-5-2 35 1988
## 49 1730105 ng NGA DF Fulham 4-2-3-1 23 1999
## 50 4125399 wls WAL DF Liverpool 4-3-3 20 2002
## 51 5495084 nl NED DF Manchester Utd 4-2-3-1 26 1997
## 52 915229 jm JAM DF Luton Town 3-4-2-1 29 1994
## 53 1561005 fr FRA MF,FW Wolves 3-4-2-1 25 1998
## 54 799299 tn TUN MF Sheffield Utd 3-5-2 22 2001
## 55 2506210 dz ALG FW,MF West Ham 4-2-3-1 27 1995
## 56 3746238 uy URU MF Tottenham 4-2-3-1 26 1997
## 57 1561005 eng ENG GK Wolves 3-4-2-1 30 1993
## 58 1107015 is ISL MF,FW Burnley 4-4-2 32 1990
## 59 1107015 no NOR MF Burnley 4-4-2 25 1998
## 60 915229 eng ENG MF,DF Luton Town 3-4-2-1 31 1992
## 61 2284735 gw GNB FW Everton 4-4-1-1 25 1998
## 62 1107015 de GER DF Burnley 4-4-2 23 2000
## 63 1615559 dk DEN MF Bournemouth 4-2-3-1 27 1996
## 64 3746238 ml MLI MF Tottenham 4-2-3-1 26 1996
## 65 1709746 eng ENG FW,DF Brighton 4-2-3-1 19 2004
## 66 5034257 no NOR FW,MF Manchester City 4-2-3-1 20 2003
## 67 799299 eng ENG DF Sheffield Utd 3-5-2 23 2000
## 68 1908602 ci CIV DF Nott'ham Forest 4-2-3-1 32 1991
## 69 2764605 nl NED DF Newcastle Utd 4-3-3 23 2000
## 70 2506210 eng ENG FW West Ham 4-2-3-1 26 1996
## 71 4125399 nir NIR DF Liverpool 4-3-3 20 2003
## 72 2284735 eng ENG DF Everton 4-4-1-1 21 2002
## 73 799299 cl CHI FW,MF Sheffield Utd 3-5-2 24 1999
## 74 799299 eng ENG FW,MF Sheffield Utd 3-5-2 23 2000
## 75 4621202 al ALB FW Chelsea 4-2-3-1 21 2001
## 76 1730105 al ALB FW Fulham 4-2-3-1 21 2001
## 77 799299 eng ENG MF,DF Sheffield Utd 3-5-2 19 2003
## 78 1615559 wls WAL FW,MF Bournemouth 4-2-3-1 26 1997
## 79 915229 sct SCO MF,FW Luton Town 3-4-2-1 25 1998
## 80 1107015 eng ENG MF Burnley 4-4-2 27 1995
## 81 1107015 dk DEN MF,FW Burnley 4-4-2 24 1998
## 82 1561005 es ESP DF,MF Wolves 3-4-2-1 20 2002
## 83 1561005 uy URU DF Wolves 3-4-2-1 24 1998
## 84 1709746 ar ARG FW,MF Brighton 4-2-3-1 18 2004
## 85 915229 eng ENG DF Luton Town 3-4-2-1 26 1996
## 86 2764605 eng ENG DF Newcastle Utd 4-3-3 31 1992
## 87 4621202 eng ENG FW Chelsea 4-2-3-1 19 2003
## 88 4621202 ec ECU MF Chelsea 4-2-3-1 21 2001
## 89 1730105 sct SCO MF Fulham 4-2-3-1 32 1991
## 90 2284735 eng ENG FW Everton 4-4-1-1 26 1997
## 91 2284735 ie IRL FW Everton 4-4-1-1 20 2002
## 92 3023700 br BRA DF Aston Villa 4-2-3-1 30 1993
## 93 4621202 it ITA FW,MF Chelsea 4-2-3-1 20 2003
## 94 5495084 br BRA MF,DF Manchester Utd 4-2-3-1 31 1992
## 95 2506210 eng ENG DF West Ham 4-2-3-1 18 2004
## 96 3023700 pl POL DF Aston Villa 4-2-3-1 25 1997
## 97 1730105 be BEL DF Fulham 4-2-3-1 27 1995
## 98 1561005 es ESP MF Wolves 3-4-2-1 29 1994
## 99 4621202 eng ENG DF Chelsea 4-2-3-1 24 1999
## 100 3023700 eng ENG MF,DF Aston Villa 4-2-3-1 28 1995
## 101 2284735 pt POR FW Everton 4-4-1-1 19 2004
## 102 4621202 eng ENG DF Chelsea 4-2-3-1 26 1996
## 103 1561005 zw ZIM MF,FW Wolves 3-4-2-1 19 2003
## 104 1561005 eng ENG FW Wolves 3-4-2-1 17 2006
## 105 915229 nl NED MF,FW Luton Town 3-4-2-1 23 1999
## 106 1615559 sct SCO MF Bournemouth 4-2-3-1 28 1995
## 107 4621202 eng ENG MF,FW Chelsea 4-2-3-1 19 2003
## 108 4125399 eng ENG MF Liverpool 4-3-3 18 2005
## 109 915229 eng ENG MF Luton Town 3-4-2-1 29 1993
## 110 1657604 eng ENG DF Crystal Palace 4-3-3 32 1991
## 111 2284735 ie IRL DF Everton 4-4-1-1 34 1988
## 112 1239083 ie IRL DF Brentford 3-5-2 22 2001
## 113 4621202 eng ENG DF Chelsea 4-2-3-1 20 2003
## 114 1615559 eng ENG MF Bournemouth 4-2-3-1 26 1997
## 115 1107015 eng ENG MF Burnley 4-4-2 34 1989
## 116 2506210 ci CIV MF,FW West Ham 4-2-3-1 26 1996
## 117 2506210 cz CZE DF West Ham 4-2-3-1 30 1992
## 118 3023700 br BRA MF,FW Aston Villa 4-2-3-1 31 1992
## 119 2506210 eng ENG DF,FW West Ham 4-2-3-1 33 1989
## 120 4621202 es ESP DF Chelsea 4-2-3-1 25 1998
## 121 1107015 ie IRL MF Burnley 4-4-2 27 1996
## 122 1561005 br BRA FW,MF Wolves 3-4-2-1 24 1999
## 123 799299 ie IRL DF Sheffield Utd 3-5-2 17 2005
## 124 1709746 de GER MF Brighton 4-2-3-1 27 1996
## 125 1107015 be BEL DF Burnley 4-4-2 21 2002
## 126 5495084 pt POR DF Manchester Utd 4-2-3-1 24 1999
## 127 1239083 dk DEN MF Brentford 3-5-2 23 2000
## 128 1908602 br BRA MF Nott'ham Forest 4-2-3-1 22 2001
## 129 2284735 nl NED MF,FW Everton 4-4-1-1 26 1997
## 130 4125399 eng ENG FW Liverpool 4-3-3 17 2006
## 131 1239083 eng ENG DF,FW Brentford 3-5-2 24 1998
## 132 1107015 ci CIV FW Burnley 4-4-2 20 2002
## 133 3746238 wls WAL DF Tottenham 4-2-3-1 30 1993
## 134 799299 eng ENG MF Sheffield Utd 3-5-2 25 1998
## 135 1561005 eng ENG DF Wolves 3-4-2-1 33 1990
## 136 5034257 be BEL MF Manchester City 4-2-3-1 32 1991
## 137 1107015 be BEL DF Burnley 4-4-2 24 1999
## 138 3023700 be BEL MF Aston Villa 4-2-3-1 28 1995
## 139 3023700 fr FRA FW,MF Aston Villa 4-2-3-1 24 1999
## 140 5495084 ci CIV FW,MF Manchester Utd 4-2-3-1 21 2002
## 141 2764605 eng ENG MF Newcastle Utd 4-3-3 20 2003
## 142 5034257 pt POR DF Manchester City 4-2-3-1 26 1997
## 143 4125399 co COL FW Liverpool 4-3-3 26 1997
## 144 3746238 eng ENG DF Tottenham 4-2-3-1 29 1994
## 145 3023700 fr FRA DF Aston Villa 4-2-3-1 30 1993
## 146 1730105 fr FRA DF Fulham 4-2-3-1 26 1997
## 147 4621202 fr FRA DF Chelsea 4-2-3-1 25 1998
## 148 4125399 sct SCO FW Liverpool 4-3-3 17 2005
## 149 2284735 eng ENG MF Everton 4-4-1-1 20 2003
## 150 1561005 ie IRL DF,MF Wolves 3-4-2-1 31 1992
## 151 5034257 be BEL FW,MF Manchester City 4-2-3-1 21 2002
## 152 1908602 ar ARG MF,FW Nott'ham Forest 4-2-3-1 25 1998
## 153 3746238 eng ENG FW Tottenham 4-2-3-1 18 2005
## 154 2284735 ml MLI FW,MF Everton 4-4-1-1 30 1993
## 155 1657604 ml MLI MF Crystal Palace 4-3-3 23 2000
## 156 915229 eng ENG DF Luton Town 3-4-2-1 23 1999
## 157 1561005 eng ENG MF Wolves 3-4-2-1 21 2001
## 158 3746238 ro ROU DF Tottenham 4-2-3-1 21 2002
## 159 2764605 sk SVK GK Newcastle Utd 4-3-3 34 1989
## 160 2764605 wls WAL DF Newcastle Utd 4-3-3 31 1991
## 161 1709746 eng ENG DF Brighton 4-2-3-1 31 1991
## 162 3023700 co COL FW,MF Aston Villa 4-2-3-1 19 2003
## 163 2506210 eng ENG FW West Ham 4-2-3-1 18 2004
## 164 5034257 br BRA GK Manchester City 4-2-3-1 29 1993
## 165 1657604 fr FRA FW,MF Crystal Palace 4-3-3 25 1998
## 166 799299 ie IRL DF Sheffield Utd 3-5-2 30 1992
## 167 1107015 se SWE DF Burnley 4-4-2 24 1998
## 168 1908602 se SWE FW,MF Nott'ham Forest 4-2-3-1 21 2002
## 169 4125399 eng ENG MF,FW Liverpool 4-3-3 20 2003
## 170 4131290 eg EGY MF Arsenal 4-3-3 31 1992
## 171 3746238 br BRA DF Tottenham 4-2-3-1 24 1999
## 172 1709746 py PAR MF,FW Brighton 4-2-3-1 19 2004
## 173 4125399 jp JPN MF Liverpool 4-3-3 30 1993
## 174 5495084 dk DEN MF Manchester Utd 4-2-3-1 31 1992
## 175 1107015 fr FRA DF Burnley 4-4-2 21 2002
## 176 1709746 ec ECU DF Brighton 4-2-3-1 25 1998
## 177 5495084 nir NIR DF Manchester Utd 4-2-3-1 35 1988
## 178 1657604 eng ENG MF,FW Crystal Palace 4-3-3 25 1998
## 179 2506210 pl POL GK West Ham 4-2-3-1 38 1985
## 180 1615559 fr FRA MF,FW Bournemouth 4-2-3-1 25 1998
## 181 1709746 es ESP MF,FW Brighton 4-2-3-1 20 2002
## 182 1908602 br BRA DF Nott'ham Forest 4-2-3-1 34 1989
## 183 1709746 ie IRL FW Brighton 4-2-3-1 18 2004
## 184 5495084 pt POR MF,FW Manchester Utd 4-2-3-1 28 1994
## 185 4621202 ar ARG MF Chelsea 4-2-3-1 22 2001
## 186 799299 sct SCO MF,DF Sheffield Utd 3-5-2 31 1991
## 187 1239083 nl NED GK Brentford 3-5-2 30 1993
## 188 5034257 eng ENG FW,MF Manchester City 4-2-3-1 23 2000
## 189 799299 eng ENG GK Sheffield Utd 3-5-2 32 1991
## 190 2506210 es ESP MF,FW West Ham 4-2-3-1 27 1996
## 191 5495084 eng ENG FW Manchester Utd 4-2-3-1 19 2004
## 192 1107015 za RSA FW,MF Burnley 4-4-2 22 2000
## 193 1657604 br BRA MF,FW Crystal Palace 4-3-3 19 2004
## 194 1561005 ie IRL FW Wolves 3-4-2-1 18 2005
## 195 4125399 nl NED FW,MF Liverpool 4-3-3 24 1999
## 196 4621202 eng ENG MF Chelsea 4-2-3-1 23 2000
## 197 2284735 sn SEN MF Everton 4-4-1-1 33 1989
## 198 5495084 ar ARG FW Manchester Utd 4-2-3-1 19 2004
## 199 2284735 eng ENG MF Everton 4-4-1-1 22 2001
## 200 1239083 ir IRN DF Brentford 3-5-2 29 1993
## 201 1908602 eng ENG MF,FW Nott'ham Forest 4-2-3-1 23 2000
## 202 3746238 es ESP FW,MF Tottenham 4-2-3-1 22 2001
## 203 4621202 eng ENG DF Chelsea 4-2-3-1 19 2003
## 204 1709746 sct SCO MF Brighton 4-2-3-1 22 2001
## 205 2284735 eng ENG DF Everton 4-4-1-1 25 1998
## 206 2284735 pt POR MF,FW Everton 4-4-1-1 30 1993
## 207 1561005 br BRA MF Wolves 3-4-2-1 22 2001
## 208 1561005 pt POR DF Wolves 3-4-2-1 24 1999
## 209 4125399 eng ENG DF Liverpool 4-3-3 26 1997
## 210 5034257 es ESP FW,MF Manchester City 4-2-3-1 22 2000
## 211 1561005 py PAR MF,DF Wolves 3-4-2-1 18 2005
## 212 2764605 eng ENG FW Newcastle Utd 4-3-3 22 2001
## 213 4125399 eng ENG FW Liverpool 4-3-3 18 2004
## 214 5495084 eng ENG MF Manchester Utd 4-2-3-1 18 2004
## 215 4125399 nl NED MF Liverpool 4-3-3 21 2002
## 216 799299 hr CRO GK Sheffield Utd 3-5-2 27 1996
## 217 5034257 eng ENG FW,MF Manchester City 4-2-3-1 27 1995
## 218 1709746 de GER MF,DF Brighton 4-2-3-1 32 1991
## 219 1657604 eng ENG DF Crystal Palace 4-3-3 23 2000
## 220 2764605 br BRA MF Newcastle Utd 4-3-3 25 1997
## 221 4621202 fr FRA DF Chelsea 4-2-3-1 20 2003
## 222 5034257 hr CRO DF Manchester City 4-2-3-1 21 2002
## 223 5034257 no NOR FW Manchester City 4-2-3-1 23 2000
## 224 799299 eng ENG FW Sheffield Utd 3-5-2 19 2004
## 225 2764605 eng ENG DF Newcastle Utd 4-3-3 18 2004
## 226 799299 nl NED MF Sheffield Utd 3-5-2 26 1997
## 227 1730105 wls WAL MF Fulham 4-2-3-1 18 2005
## 228 2284735 eng ENG MF,FW Everton 4-4-1-1 26 1996
## 229 915229 jp JPN DF Luton Town 3-4-2-1 24 1999
## 230 4131290 de GER MF,FW Arsenal 4-3-3 24 1999
## 231 1709746 nl NED DF Brighton 4-2-3-1 23 2000
## 232 1561005 kr KOR FW,MF Wolves 3-4-2-1 27 1996
## 233 1657604 eng ENG GK Crystal Palace 4-3-3 26 1997
## 234 1239083 eng ENG DF Brentford 3-5-2 26 1997
## 235 3746238 kr KOR FW Tottenham 4-2-3-1 31 1992
## 236 1239083 sct SCO DF Brentford 3-5-2 21 2002
## 237 1615559 eng ENG DF Bournemouth 4-2-3-1 21 2002
## 238 1709746 eng ENG DF Brighton 4-2-3-1 18 2005
## 239 799299 eng ENG DF Sheffield Utd 3-5-2 26 1996
## 240 1908602 eng ENG FW,MF Nott'ham Forest 4-2-3-1 22 2000
## 241 1657604 eng ENG MF Crystal Palace 4-3-3 28 1995
## 242 3746238 dk DEN MF Tottenham 4-2-3-1 27 1995
## 243 5495084 dk DEN FW Manchester Utd 4-2-3-1 20 2003
## 244 1709746 br BRA DF Brighton 4-2-3-1 25 1998
## 245 2506210 eng ENG FW West Ham 4-2-3-1 31 1992
## 246 3023700 eng ENG MF Aston Villa 4-2-3-1 20 2003
## 247 2764605 se SWE FW Newcastle Utd 4-3-3 23 1999
## 248 2284735 ng NGA MF Everton 4-4-1-1 27 1996
## 249 1730105 ng NGA FW,MF Fulham 4-2-3-1 27 1996
## 250 4621202 sn SEN FW Chelsea 4-2-3-1 22 2001
## 251 4621202 eng ENG DF Chelsea 4-2-3-1 23 1999
## 252 1239083 de GER MF,DF Brentford 3-5-2 25 1998
## 253 799299 eng ENG FW Sheffield Utd 3-5-2 19 2003
## 254 1239083 dk DEN MF Brentford 3-5-2 27 1996
## 255 4131290 br BRA FW Arsenal 4-3-3 26 1997
## 256 1730105 mx MEX FW Fulham 4-2-3-1 32 1991
## 257 1709746 br BRA FW,MF Brighton 4-2-3-1 21 2001
## 258 2764605 br BRA MF,FW Newcastle Utd 4-3-3 26 1996
## 259 915229 eng ENG DF,MF Luton Town 3-4-2-1 23 2000
## 260 2506210 eng ENG DF,FW West Ham 4-2-3-1 23 2000
## 261 3746238 wls WAL FW Tottenham 4-2-3-1 22 2001
## 262 1908602 wls WAL FW,MF Nott'ham Forest 4-2-3-1 22 2001
## 263 915229 eng ENG DF Luton Town 3-4-2-1 17 2006
## 264 1657604 eng ENG GK Crystal Palace 4-3-3 30 1993
## 265 4125399 eng ENG MF Liverpool 4-3-3 22 2001
## 266 4131290 it ITA MF Arsenal 4-3-3 31 1991
## 267 4125399 pt POR FW Liverpool 4-3-3 26 1996
## 268 915229 dk DEN DF Luton Town 3-4-2-1 25 1997
## 269 1615559 ci CIV MF Bournemouth 4-2-3-1 23 2000
## 270 1239083 dk DEN DF Brentford 3-5-2 33 1990
## 271 915229 bf BFA DF Luton Town 3-4-2-1 22 2001
## 272 1561005 at AUT FW Wolves 3-4-2-1 26 1997
## 273 3023700 fr FRA MF Aston Villa 4-2-3-1 23 1999
## 274 5495084 fr FRA DF Manchester Utd 4-2-3-1 18 2004
## 275 915229 be BEL GK Luton Town 3-4-2-1 30 1992
## 276 2764605 de GER GK Newcastle Utd 4-3-3 30 1993
## 277 2284735 eng ENG DF Everton 4-4-1-1 30 1993
## 278 2506210 de GER DF,MF West Ham 4-2-3-1 26 1996
## 279 4125399 ie IRL GK Liverpool 4-3-3 24 1998
## 280 1615559 eng ENG DF Bournemouth 4-2-3-1 24 1998
## 281 3023700 eng ENG FW Aston Villa 4-2-3-1 17 2005
## 282 1615559 hu HUN DF Bournemouth 4-2-3-1 19 2003
## 283 3023700 eng ENG MF,DF Aston Villa 4-2-3-1 20 2002
## 284 1561005 eng ENG DF Wolves 3-4-2-1 26 1997
## 285 4131290 pl POL DF Arsenal 4-3-3 23 2000
## 286 1615559 nl NED MF,FW Bournemouth 4-2-3-1 24 1999
## 287 1107015 it ITA MF,FW Burnley 4-4-2 18 2004
## 288 4125399 fr FRA DF Liverpool 4-3-3 24 1999
## 289 3023700 eng ENG DF Aston Villa 4-2-3-1 25 1997
## 290 1908602 sn SEN MF Nott'ham Forest 4-2-3-1 33 1989
## 291 5034257 hr CRO MF Manchester City 4-2-3-1 29 1994
## 292 2764605 se SWE DF Newcastle Utd 4-3-3 28 1994
## 293 2506210 gh GHA FW,MF West Ham 4-2-3-1 22 2000
## 294 3746238 se SWE FW,MF Tottenham 4-2-3-1 23 2000
## 295 1709746 eng ENG MF,FW Brighton 4-2-3-1 35 1988
## 296 1709746 gh GHA DF,FW Brighton 4-2-3-1 22 2000
## 297 5034257 es ESP DF Manchester City 4-2-3-1 29 1994
## 298 799299 dz ALG DF Sheffield Utd 3-5-2 22 2001
## 299 2764605 eng ENG DF Newcastle Utd 4-3-3 29 1993
## 300 4621202 be BEL MF Chelsea 4-2-3-1 19 2004
## 301 1561005 ga GAB MF Wolves 3-4-2-1 29 1993
## 302 3023700 fr FRA DF Aston Villa 4-2-3-1 28 1995
## 303 1730105 de GER GK Fulham 4-2-3-1 31 1992
## 304 1657604 co COL MF,DF Crystal Palace 4-3-3 28 1994
## 305 5034257 eng ENG DF,MF Manchester City 4-2-3-1 18 2004
## 306 1239083 eng ENG FW,DF Brentford 3-5-2 22 2001
## 307 5495084 se SWE DF Manchester Utd 4-2-3-1 29 1994
## 308 2764605 eng ENG DF Newcastle Utd 4-3-3 20 2002
## 309 3746238 ar ARG MF Tottenham 4-2-3-1 27 1996
## 310 915229 wls WAL DF Luton Town 3-4-2-1 28 1994
## 311 2764605 eng ENG MF Newcastle Utd 4-3-3 25 1997
## 312 799299 eng ENG DF,MF Sheffield Utd 3-5-2 26 1997
## 313 3023700 br BRA MF Aston Villa 4-2-3-1 25 1998
## 314 1730105 rs SRB MF Fulham 4-2-3-1 26 1996
## 315 4621202 nl NED FW,MF Chelsea 4-2-3-1 21 2002
## 316 4125399 ar ARG MF Liverpool 4-3-3 24 1998
## 317 3746238 eng ENG MF Tottenham 4-2-3-1 26 1996
## 318 4621202 eng ENG FW Chelsea 4-2-3-1 21 2002
## 319 4131290 br BRA DF Arsenal 4-3-3 25 1997
## 320 5495084 eng ENG DF Manchester Utd 4-2-3-1 30 1993
## 321 5495084 eng ENG MF Manchester Utd 4-2-3-1 18 2005
## 322 1908602 be BEL MF Nott'ham Forest 4-2-3-1 25 1998
## 323 1107015 ao ANG MF,FW Burnley 4-4-2 26 1997
## 324 1709746 eng ENG FW,DF Brighton 4-2-3-1 29 1994
## 325 5495084 fr FRA FW Manchester Utd 4-2-3-1 27 1995
## 326 4131290 br BRA FW Arsenal 4-3-3 22 2001
## 327 3023700 ar ARG GK Aston Villa 4-2-3-1 30 1992
## 328 5495084 ar ARG DF Manchester Utd 4-2-3-1 25 1998
## 329 1107015 fr FRA MF,DF Burnley 4-4-2 22 2001
## 330 3746238 sn SEN MF Tottenham 4-2-3-1 20 2002
## 331 1657604 fr FRA FW Crystal Palace 4-3-3 26 1997
## 332 4125399 cm CMR DF Liverpool 4-3-3 31 1991
## 333 4621202 eng ENG MF Chelsea 4-2-3-1 18 2004
## 334 1657604 eng ENG GK Crystal Palace 4-3-3 29 1994
## 335 1239083 fr FRA FW Brentford 3-5-2 26 1996
## 336 2284735 fr FRA FW Everton 4-4-1-1 26 1996
## 337 2506210 gr GRE DF West Ham 4-2-3-1 25 1997
## 338 1239083 cm CMR FW Brentford 3-5-2 23 1999
## 339 799299 eng ENG MF,FW Sheffield Utd 3-5-2 20 2002
## 340 5034257 eng ENG MF Manchester City 4-2-3-1 20 2002
## 341 799299 sct SCO FW Sheffield Utd 3-5-2 27 1996
## 342 4125399 eng ENG MF Liverpool 4-3-3 18 2004
## 343 3023700 sct SCO MF,FW Aston Villa 4-2-3-1 28 1994
## 344 1908602 sct SCO DF Nott'ham Forest 4-2-3-1 26 1996
## 345 2284735 eng ENG MF,FW Everton 4-4-1-1 23 1999
## 346 5495084 sct SCO MF,FW Manchester Utd 4-2-3-1 26 1996
## 347 1239083 eng ENG DF Brentford 3-5-2 33 1989
## 348 5495084 tn TUN MF,FW Manchester Utd 4-2-3-1 20 2003
## 349 915229 eng ENG DF Luton Town 3-4-2-1 21 2002
## 350 1615559 wls WAL DF Bournemouth 4-2-3-1 25 1997
## 351 2764605 eng ENG MF Newcastle Utd 4-3-3 17 2006
## 352 1709746 eng ENG DF,MF Brighton 4-2-3-1 37 1986
## 353 3023700 eng ENG DF Aston Villa 4-2-3-1 30 1993
## 354 1657604 eng ENG DF,MF Crystal Palace 4-3-3 23 1999
## 355 1709746 jp JPN FW Brighton 4-2-3-1 26 1997
## 356 1730105 rs SRB FW Fulham 4-2-3-1 28 1994
## 357 1709746 pl POL MF,DF Brighton 4-2-3-1 24 1999
## 358 1908602 ar ARG DF Nott'ham Forest 4-2-3-1 26 1997
## 359 1615559 wls WAL FW,MF Bournemouth 4-2-3-1 30 1992
## 360 3746238 eng ENG MF Tottenham 4-2-3-1 15 2007
## 361 3023700 es ESP DF Aston Villa 4-2-3-1 30 1993
## 362 915229 eng ENG FW,MF Luton Town 3-4-2-1 27 1995
## 363 5495084 eng ENG MF,FW Manchester Utd 4-2-3-1 24 1999
## 364 2506210 eng ENG FW West Ham 4-2-3-1 18 2004
## 365 4621202 ua UKR FW Chelsea 4-2-3-1 22 2001
## 366 1730105 br BRA FW Fulham 4-2-3-1 22 2001
## 367 1657604 co COL DF,MF Crystal Palace 4-3-3 27 1996
## 368 3023700 eng ENG MF Aston Villa 4-2-3-1 18 2005
## 369 1107015 xk KVX GK Burnley 4-4-2 24 1998
## 370 1908602 br BRA DF Nott'ham Forest 4-2-3-1 21 2002
## 371 2764605 ie IRL DF,FW Newcastle Utd 4-3-3 19 2004
## 372 2764605 eng ENG FW,DF Newcastle Utd 4-3-3 28 1995
## 373 2284735 ua UKR DF Everton 4-4-1-1 24 1999
## 374 915229 zw ZIM MF Luton Town 3-4-2-1 29 1994
## 375 2764605 eng ENG FW Newcastle Utd 4-3-3 19 2003
## 376 4131290 eng ENG FW Arsenal 4-3-3 23 1999
## 377 915229 eng ENG MF,DF Luton Town 3-4-2-1 18 2004
## 378 1615559 br BRA GK Bournemouth 4-2-3-1 34 1989
## 379 1561005 pt POR FW,MF Wolves 3-4-2-1 23 2000
## 380 1908602 sn SEN DF Nott'ham Forest 4-2-3-1 27 1996
## 381 4131290 eng ENG FW Arsenal 4-3-3 24 1999
## 382 4621202 fr FRA FW,MF Chelsea 4-2-3-1 25 1997
## 383 799299 wls WAL DF Sheffield Utd 3-5-2 24 1999
## 384 799299 nir NIR MF Sheffield Utd 3-5-2 32 1991
## 385 1561005 pt POR MF Wolves 3-4-2-1 24 1998
## 386 5034257 pt POR MF Manchester City 4-2-3-1 24 1998
## 387 4125399 uy URU FW Liverpool 4-3-3 24 1999
## 388 4131290 eng ENG FW Arsenal 4-3-3 16 2007
## 389 1239083 dk DEN MF Brentford 3-5-2 29 1994
## 390 1709746 ie IRL FW Brighton 4-2-3-1 18 2005
## 391 1107015 ie IRL DF Burnley 4-4-2 24 1999
## 392 1107015 ie IRL FW,MF Burnley 4-4-2 23 2000
## 393 1107015 fr FRA MF,FW Burnley 4-4-2 18 2004
## 394 1709746 eng ENG DF Brighton 4-2-3-1 20 2002
## 395 915229 ie IRL MF,DF Luton Town 3-4-2-1 26 1997
## 396 2506210 it ITA DF West Ham 4-2-3-1 35 1988
## 397 1239083 eng ENG DF,FW Brentford 3-5-2 19 2004
## 398 1657604 fr FRA FW,MF Crystal Palace 4-3-3 21 2001
## 399 3023700 se SWE GK Aston Villa 4-2-3-1 33 1990
## 400 1908602 ie IRL DF Nott'ham Forest 4-2-3-1 21 2002
## 401 2284735 be BEL MF Everton 4-4-1-1 21 2001
## 402 5495084 cm CMR GK Manchester Utd 4-2-3-1 27 1996
## 403 799299 sct SCO FW Sheffield Utd 3-5-2 17 2006
## 404 2284735 eng ENG MF Everton 4-4-1-1 20 2003
## 405 915229 eng ENG DF,MF Luton Town 3-4-2-1 26 1996
## 406 1239083 ng NGA MF Brentford 3-5-2 25 1998
## 407 1908602 be BEL FW Nott'ham Forest 4-2-3-1 28 1995
## 408 5034257 de GER GK Manchester City 4-2-3-1 30 1992
## 409 799299 eng ENG DF,MF Sheffield Utd 3-5-2 28 1994
## 410 915229 ng NGA DF Luton Town 3-4-2-1 24 1998
## 411 799299 dk DEN FW Sheffield Utd 3-5-2 19 2003
## 412 1615559 bf BFA FW,DF Bournemouth 4-2-3-1 21 2002
## 413 1657604 eng ENG MF,DF Crystal Palace 4-3-3 18 2005
## 414 1730105 pt POR MF Fulham 4-2-3-1 28 1995
## 415 4621202 eng ENG FW,MF Chelsea 4-2-3-1 21 2002
## 416 5034257 eng ENG MF Manchester City 4-2-3-1 21 2002
## 417 2506210 it ITA DF West Ham 4-2-3-1 28 1994
## 418 2506210 br BRA FW,MF West Ham 4-2-3-1 25 1997
## 419 2764605 eng ENG FW Newcastle Utd 4-3-3 18 2005
## 420 4131290 gh GHA MF,DF Arsenal 4-3-3 30 1993
## 421 2284735 sct SCO DF Everton 4-4-1-1 21 2001
## 422 1239083 eng ENG DF,MF Brentford 3-5-2 20 2002
## 423 799299 eng ENG MF Sheffield Utd 3-5-2 18 2004
## 424 5495084 uy URU FW,MF Manchester Utd 4-2-3-1 21 2001
## 425 1730105 br BRA MF Fulham 4-2-3-1 27 1996
## 426 3746238 hr CRO FW Tottenham 4-2-3-1 34 1989
## 427 4621202 rs SRB GK Chelsea 4-2-3-1 23 1999
## 428 2506210 eng ENG MF West Ham 4-2-3-1 27 1995
## 429 5034257 eng ENG MF Manchester City 4-2-3-1 27 1995
## 430 3023700 eng ENG FW Aston Villa 4-2-3-1 21 2002
## 431 2284735 eng ENG GK Everton 4-4-1-1 29 1994
## 432 1239083 jm JAM DF Brentford 3-5-2 30 1993
## 433 2764605 eng ENG GK Newcastle Utd 4-3-3 31 1992
## 434 3746238 es ESP DF Tottenham 4-2-3-1 23 1999
## 435 4125399 eng ENG DF Liverpool 4-3-3 20 2003
## 436 1615559 ro ROU GK Bournemouth 4-2-3-1 26 1997
## 437 1657604 eng ENG MF,FW Crystal Palace 4-3-3 20 2002
## 438 4131290 eng ENG GK Arsenal 4-3-3 25 1998
## 439 1107015 eng ENG MF,FW Burnley 4-4-2 20 2003
## 440 3023700 eng ENG FW,MF Aston Villa 4-2-3-1 22 2001
## 441 5495084 eng ENG FW Manchester Utd 4-2-3-1 25 1997
## 442 4131290 es ESP GK Arsenal 4-3-3 27 1995
## 443 1730105 us USA DF Fulham 4-2-3-1 35 1987
## 444 1107015 eng ENG FW,MF Burnley 4-4-2 29 1994
## 445 1730105 eng ENG MF Fulham 4-2-3-1 28 1995
## 446 5495084 es ESP DF Manchester Utd 4-2-3-1 26 1996
## 447 1239083 es ESP DF Brentford 3-5-2 26 1996
## 448 1730105 jm JAM FW Fulham 4-2-3-1 30 1993
## 449 1908602 us USA FW,MF Nott'ham Forest 4-2-3-1 20 2002
## 450 1908602 pt POR MF,FW Nott'ham Forest 4-2-3-1 18 2005
## 451 4131290 eng ENG MF Arsenal 4-3-3 24 1999
## 452 1657604 us USA DF,MF Crystal Palace 4-3-3 23 2000
## 453 3746238 br BRA FW Tottenham 4-2-3-1 26 1997
## 454 1657604 nl NED MF,FW Crystal Palace 4-3-3 26 1996
## 455 2764605 sct SCO FW,MF Newcastle Utd 4-3-3 33 1989
## 456 1107015 wls WAL DF Burnley 4-4-2 27 1995
## 457 4125399 sct SCO DF Liverpool 4-3-3 29 1994
## 458 1730105 us USA DF Fulham 4-2-3-1 25 1997
## 459 799299 eng ENG DF Sheffield Utd 3-5-2 29 1993
## 460 5034257 es ESP MF Manchester City 4-2-3-1 27 1996
## 461 1107015 eng ENG FW Burnley 4-4-2 34 1989
## 462 1239083 dk DEN DF Brentford 3-5-2 24 1999
## 463 3023700 eng ENG MF,FW Aston Villa 4-2-3-1 21 2002
## 464 3746238 ar ARG DF Tottenham 4-2-3-1 25 1998
## 465 1615559 eng ENG MF Bournemouth 4-2-3-1 28 1995
## 466 915229 cd COD MF Luton Town 3-4-2-1 30 1993
## 467 1561005 pt POR GK Wolves 3-4-2-1 30 1993
## 468 1615559 eng ENG FW Bournemouth 4-2-3-1 19 2003
## 469 4131290 eng ENG FW Arsenal 4-3-3 21 2001
## 470 4125399 eg EGY FW Liverpool 4-3-3 31 1992
## 471 4131290 fr FRA DF Arsenal 4-3-3 22 2001
## 472 915229 be BEL MF Luton Town 3-4-2-1 23 1999
## 473 3746238 co COL DF Tottenham 4-2-3-1 27 1996
## 474 4621202 es ESP GK Chelsea 4-2-3-1 25 1997
## 475 5495084 eng ENG FW,MF Manchester Utd 4-2-3-1 23 2000
## 476 1908602 ci CIV MF Nott'ham Forest 4-2-3-1 25 1997
## 477 1908602 br BRA MF Nott'ham Forest 4-2-3-1 19 2004
## 478 1561005 es ESP MF,FW Wolves 3-4-2-1 31 1992
## 479 3746238 eng ENG FW Tottenham 4-2-3-1 19 2004
## 480 1239083 de GER FW,MF Brentford 3-5-2 21 2001
## 481 2764605 ch SUI DF Newcastle Utd 4-3-3 31 1991
## 482 1657604 gh GHA FW,MF Crystal Palace 4-3-3 30 1992
## 483 1615559 eng ENG MF Bournemouth 4-2-3-1 19 2003
## 484 1908602 be BEL GK Nott'ham Forest 4-2-3-1 31 1992
## 485 1561005 pt POR DF,MF Wolves 3-4-2-1 29 1993
## 486 1615559 gh GHA FW Bournemouth 4-2-3-1 23 2000
## 487 1615559 ar ARG DF Bournemouth 4-2-3-1 26 1997
## 488 5495084 eng ENG DF Manchester Utd 4-2-3-1 28 1995
## 489 915229 eng ENG GK Luton Town 3-4-2-1 32 1991
## 490 5034257 pt POR MF,FW Manchester City 4-2-3-1 28 1994
## 491 1561005 pt POR FW Wolves 3-4-2-1 21 2002
## 492 4621202 br BRA DF Chelsea 4-2-3-1 38 1984
## 493 1615559 co COL FW,MF Bournemouth 4-2-3-1 24 1999
## 494 3746238 eng ENG MF,DF Tottenham 4-2-3-1 22 2000
## 495 1615559 eng ENG DF Bournemouth 4-2-3-1 32 1991
## 496 4131290 eng ENG MF Arsenal 4-3-3 23 2000
## 497 4131290 pt POR DF Arsenal 4-3-3 31 1991
## 498 1615559 eng ENG FW Bournemouth 4-2-3-1 25 1997
## 499 3746238 il ISR FW Tottenham 4-2-3-1 24 1999
## 500 2506210 cz CZE MF West Ham 4-2-3-1 28 1995
## 501 799299 br BRA MF Sheffield Utd 3-5-2 24 1999
## 502 1709746 eng ENG GK Brighton 4-2-3-1 32 1990
## 503 4621202 eng ENG FW,MF Chelsea 4-2-3-1 28 1994
## 504 5034257 eng ENG DF,MF Manchester City 4-2-3-1 29 1994
## 505 1239083 al ALB GK Brentford 3-5-2 28 1995
## 506 4125399 hu HUN MF Liverpool 4-3-3 22 2000
## 507 2764605 eng ENG DF Newcastle Utd 4-3-3 27 1995
## 508 2284735 eng ENG DF Everton 4-4-1-1 30 1992
## 509 4621202 eng ENG FW Chelsea 4-2-3-1 19 2004
## 510 1908602 pt POR DF Nott'ham Forest 4-2-3-1 23 2000
## 511 1615559 eng ENG FW Bournemouth 4-2-3-1 24 1999
## 512 1107015 eng ENG DF Burnley 4-4-2 29 1993
## 513 1730105 nl NED DF Fulham 4-2-3-1 27 1995
## 514 799299 eng ENG DF Sheffield Utd 3-5-2 22 2001
## 515 3023700 be BEL MF,FW Aston Villa 4-2-3-1 26 1997
## 516 4131290 nl NED DF Arsenal 4-3-3 22 2001
## 517 1908602 eng ENG DF Nott'ham Forest 4-2-3-1 27 1995
## 518 4131290 jp JPN DF Arsenal 4-3-3 24 1998
## 519 1657604 eng ENG DF Crystal Palace 4-3-3 34 1989
## 520 2764605 it ITA MF Newcastle Utd 4-3-3 23 2000
## 521 1239083 eng ENG FW Brentford 3-5-2 27 1996
## 522 3023700 es ESP DF Aston Villa 4-2-3-1 26 1997
## 523 915229 eng ENG MF,FW Luton Town 3-4-2-1 32 1991
## 524 1107015 eng ENG GK Burnley 4-4-2 20 2002
## 525 1730105 es ESP FW,MF Fulham 4-2-3-1 27 1996
## 526 3023700 bf BFA DF,FW Aston Villa 4-2-3-1 27 1995
## 527 1561005 ml MLI MF Wolves 3-4-2-1 21 2001
## 528 1615559 ie IRL GK Bournemouth 4-2-3-1 24 1999
## 529 1107015 be BEL FW,MF Burnley 4-4-2 24 1999
## 530 2764605 eng ENG DF Newcastle Utd 4-3-3 32 1990
## 531 4131290 be BEL FW,MF Arsenal 4-3-3 28 1994
## 532 799299 us USA DF Sheffield Utd 3-5-2 24 1998
## 533 4125399 gr GRE DF Liverpool 4-3-3 27 1996
## 534 1908602 us USA GK Nott'ham Forest 4-2-3-1 29 1994
## 535 3746238 it ITA DF Tottenham 4-2-3-1 20 2002
## 536 4621202 fr FRA MF Chelsea 4-2-3-1 19 2004
## 537 1615559 tr TUR FW,MF Bournemouth 4-2-3-1 26 1997
## 538 4125399 nl NED DF Liverpool 4-3-3 32 1991
## 539 5495084 fr FRA DF Manchester Utd 4-2-3-1 30 1993
## 540 3746238 ar ARG FW Tottenham 4-2-3-1 19 2003
## 541 1709746 nl NED DF Brighton 4-2-3-1 31 1992
## 542 3746238 nl NED DF Tottenham 4-2-3-1 22 2001
## 543 1709746 nl NED GK Brighton 4-2-3-1 20 2002
## 544 3746238 it ITA GK Tottenham 4-2-3-1 26 1996
## 545 4131290 pt POR MF,FW Arsenal 4-3-3 23 2000
## 546 1730105 br BRA FW Fulham 4-2-3-1 28 1995
## 547 1107015 br BRA DF,MF Burnley 4-4-2 24 1999
## 548 1908602 gr GRE GK Nott'ham Forest 4-2-3-1 29 1994
## 549 5034257 eng ENG DF Manchester City 4-2-3-1 33 1990
## 550 5495084 eng ENG DF Manchester Utd 4-2-3-1 25 1997
## 551 1657604 eng ENG DF Crystal Palace 4-3-3 33 1989
## 552 2506210 eng ENG MF West Ham 4-2-3-1 28 1994
## 553 2284735 eng ENG FW Everton 4-4-1-1 20 2002
## 554 4621202 br BRA DF,FW Chelsea 4-2-3-1 18 2005
## 555 3023700 eng ENG FW Aston Villa 4-2-3-1 27 1995
## 556 1709746 eng ENG DF Brighton 4-2-3-1 28 1995
## 557 1709746 eng ENG FW,MF Brighton 4-2-3-1 32 1990
## 558 3746238 de GER FW Tottenham 4-2-3-1 27 1996
## 559 1657604 eng ENG MF Crystal Palace 4-3-3 19 2004
## 560 5495084 eng ENG FW Manchester Utd 4-2-3-1 17 2006
## 561 4131290 eng ENG DF Arsenal 4-3-3 25 1997
## 562 2764605 eng ENG MF Newcastle Utd 4-3-3 20 2002
## 563 1908602 wls WAL DF Nott'ham Forest 4-2-3-1 22 2001
## 564 1730105 br BRA FW Fulham 4-2-3-1 34 1988
## 565 2764605 eng ENG MF Newcastle Utd 4-3-3 23 1999
## 566 2764605 eng ENG FW Newcastle Utd 4-3-3 31 1992
## 567 1730105 wls WAL FW Fulham 4-2-3-1 26 1997
## 568 1239083 cd COD FW Brentford 3-5-2 26 1996
## 569 1908602 nz NZL FW Nott'ham Forest 4-2-3-1 31 1991
## 570 915229 eng ENG FW,MF Luton Town 3-4-2-1 28 1994
## 571 1908602 eng ENG DF Nott'ham Forest 4-2-3-1 26 1997
## 572 1239083 ua UKR MF Brentford 3-5-2 19 2004
## 573 1908602 eng ENG MF Nott'ham Forest 4-2-3-1 25 1997
## 574 2284735 eng ENG DF,MF Everton 4-4-1-1 38 1985
## 575 1615559 ua UKR DF Bournemouth 4-2-3-1 20 2002
## 576 3023700 it ITA FW,MF Aston Villa 4-2-3-1 24 1999
## 577 1107015 ma MAR FW,MF Burnley 4-4-2 22 2000
## 578 4131290 ua UKR DF Arsenal 4-3-3 26 1996
## 579 2506210 fr FRA DF West Ham 4-2-3-1 28 1994
## 580 4131290 no NOR MF Arsenal 4-3-3 24 1998
## 581 NA NA NA
## 582 NA NA NA
## 583 NA NA NA
## 584 NA NA NA
## 585 NA NA NA
## 586 NA NA NA
## 587 NA NA NA
## 588 NA NA NA
## 589 NA NA NA
## 590 NA NA NA
## 591 NA NA NA
## 592 NA NA NA
## 593 NA NA NA
## 594 NA NA NA
## 595 NA NA NA
## 596 NA NA NA
## 597 NA NA NA
## 598 NA NA NA
## 599 NA NA NA
## 600 NA NA NA
## 601 NA NA NA
## 602 NA NA NA
## Matches.Payed X90s.Completed Goals Takles.Won Total.Passing.Accuracy..
## 1 20 13.7 0 19 77.5
## 2 1 0.1 0 0 50.0
## 3 8 4.3 0 2 77.5
## 4 3 1.3 0 3 83.1
## 5 20 18.0 2 11 84.5
## 6 27 15.8 10 1 70.6
## 7 31 24.7 6 20 75.5
## 8 21 20.6 1 14 80.1
## 9 1 0.1 0 0 50.0
## 10 20 3.9 0 9 80.2
## 11 31 29.4 2 36 75.4
## 12 22 18.8 1 31 75.2
## 13 33 25.9 2 44 84.5
## 14 28 20.4 2 21 75.3
## 15 30 27.9 2 28 93.4
## 16 29 22.7 2 16 92.1
## 17 1 0.1 0 0 70.0
## 18 28 23.9 3 26 75.3
## 19 28 28.0 0 0 86.3
## 20 33 21.5 3 24 83.4
## 21 31 26.4 1 39 85.6
## 22 36 29.4 11 13 80.4
## 23 34 21.7 5 18 79.2
## 24 21 10.4 0 16 87.0
## 25 38 37.9 2 35 78.4
## 26 21 11.4 0 18 80.4
## 27 3 1.7 0 1 66.7
## 28 26 18.8 6 8 58.4
## 29 29 14.7 1 21 78.7
## 30 12 10.5 0 14 79.7
## 31 29 20.4 4 13 80.1
## 32 1 0.1 0 0 83.3
## 33 31 30.0 0 1 64.8
## 34 15 13.7 1 17 72.6
## 35 12 9.3 0 14 77.7
## 36 20 11.6 6 7 72.6
## 37 35 28.3 4 36 74.0
## 38 18 14.9 0 15 90.8
## 39 35 23.0 10 7 72.5
## 40 1 0.3 0 1 70.0
## 41 13 10.8 0 10 73.3
## 42 27 14.7 0 20 92.0
## 43 6 0.8 0 2 71.8
## 44 10 2.5 1 4 73.3
## 45 6 3.4 0 5 76.8
## 46 32 29.1 5 19 82.6
## 47 21 8.9 5 1 76.5
## 48 8 3.6 0 2 74.6
## 49 29 25.6 1 29 86.0
## 50 1 0.1 0 1 75.0
## 51 1 0.0 0 0 100.0
## 52 21 19.1 0 33 77.2
## 53 22 10.6 2 10 76.8
## 54 15 4.7 0 6 66.2
## 55 13 6.9 0 4 75.1
## 56 23 11.2 1 15 84.3
## 57 5 4.3 0 0 66.7
## 58 26 13.2 1 4 72.8
## 59 37 33.4 1 46 88.1
## 60 17 3.6 2 2 64.6
## 61 30 10.6 3 6 60.0
## 62 15 13.7 0 20 89.0
## 63 29 15.5 2 16 75.2
## 64 28 23.0 0 52 91.7
## 65 5 0.4 0 0 65.0
## 66 14 3.4 1 3 87.6
## 67 34 31.0 3 36 70.7
## 68 20 16.0 2 29 75.0
## 69 17 15.3 2 13 90.6
## 70 34 33.5 16 28 68.9
## 71 11 8.4 1 25 79.1
## 72 35 34.6 3 32 79.8
## 73 14 12.3 6 4 75.5
## 74 13 3.8 0 1 68.4
## 75 13 5.0 1 0 88.3
## 76 8 1.0 0 0 70.4
## 77 20 10.4 0 13 75.1
## 78 13 3.1 1 4 72.0
## 79 19 11.3 2 12 55.1
## 80 33 25.0 4 35 76.9
## 81 32 13.9 6 4 71.9
## 82 22 8.2 0 14 78.3
## 83 12 9.1 0 7 88.8
## 84 27 15.2 3 22 84.5
## 85 22 18.4 0 23 76.1
## 86 33 30.3 2 33 81.0
## 87 2 0.1 0 0 75.0
## 88 35 31.8 1 46 90.0
## 89 34 16.5 1 16 88.5
## 90 32 24.1 7 6 56.4
## 91 1 0.0 0 0 NA
## 92 27 20.2 0 16 88.4
## 93 11 0.9 0 3 81.5
## 94 25 22.0 1 56 81.8
## 95 1 0.0 0 0 NA
## 96 29 23.8 2 31 80.4
## 97 34 29.3 1 24 81.2
## 98 1 0.1 0 0 NA
## 99 13 10.6 1 12 89.4
## 100 5 1.7 0 0 88.5
## 101 18 2.3 0 2 60.3
## 102 13 8.4 0 10 75.4
## 103 8 1.6 0 3 79.3
## 104 3 1.9 0 1 86.4
## 105 33 22.0 4 22 77.8
## 106 37 32.3 0 44 76.0
## 107 9 2.5 1 4 85.8
## 108 5 1.0 0 1 77.6
## 109 23 14.5 1 17 71.9
## 110 19 14.9 0 15 82.5
## 111 12 7.4 0 14 67.6
## 112 32 29.5 1 20 81.3
## 113 23 20.0 1 30 83.0
## 114 33 31.0 0 41 76.3
## 115 4 0.3 0 0 75.8
## 116 7 1.2 1 2 73.5
## 117 36 34.8 0 41 69.3
## 118 2 0.3 0 0 83.3
## 119 11 4.8 0 2 82.5
## 120 21 19.8 0 38 86.6
## 121 25 22.9 2 29 85.4
## 122 32 27.1 12 16 79.2
## 123 1 0.3 0 0 60.0
## 124 9 5.0 0 4 86.6
## 125 13 11.7 1 5 84.3
## 126 36 35.3 2 51 81.2
## 127 23 9.4 0 17 69.4
## 128 29 19.9 2 18 77.7
## 129 14 6.6 1 4 67.1
## 130 2 0.1 0 0 71.4
## 131 3 0.3 0 1 52.6
## 132 15 9.8 4 5 67.6
## 133 17 12.1 1 17 90.1
## 134 9 2.5 0 5 68.7
## 135 25 24.5 1 20 86.5
## 136 18 13.6 4 9 75.4
## 137 12 6.5 0 6 85.7
## 138 8 1.3 1 4 80.4
## 139 38 24.2 6 5 78.4
## 140 9 4.3 1 3 87.6
## 141 1 0.0 0 0 100.0
## 142 30 28.4 0 20 93.7
## 143 37 29.2 8 25 83.5
## 144 4 2.2 0 1 88.7
## 145 33 26.8 1 19 75.1
## 146 18 15.8 0 16 88.0
## 147 31 28.7 2 19 90.0
## 148 1 0.2 0 0 100.0
## 149 12 2.6 1 7 67.7
## 150 30 12.8 1 18 78.9
## 151 29 17.7 3 22 81.3
## 152 26 16.6 2 34 84.7
## 153 3 0.0 0 0 100.0
## 154 32 29.2 7 27 76.5
## 155 11 10.2 0 17 87.0
## 156 37 32.5 2 40 66.5
## 157 26 13.6 0 13 83.9
## 158 9 4.8 0 3 88.1
## 159 23 22.1 0 0 79.7
## 160 5 0.2 0 0 91.3
## 161 33 31.9 3 14 92.1
## 162 23 5.3 5 5 68.6
## 163 3 0.4 1 0 94.1
## 164 33 30.9 0 0 87.3
## 165 30 17.3 7 12 71.1
## 166 6 5.4 0 4 69.2
## 167 8 4.9 0 2 88.0
## 168 36 27.0 5 19 69.9
## 169 34 15.0 3 17 83.7
## 170 3 0.3 0 0 97.5
## 171 22 12.9 1 24 90.3
## 172 12 5.3 0 2 74.2
## 173 29 19.1 1 28 88.0
## 174 22 12.7 1 13 80.5
## 175 16 14.5 0 10 84.0
## 176 19 13.8 2 13 84.1
## 177 23 15.5 0 14 87.6
## 178 27 22.8 11 17 77.0
## 179 10 8.0 0 0 66.9
## 180 5 0.5 0 1 73.1
## 181 19 5.8 2 3 84.8
## 182 7 4.2 0 9 85.1
## 183 27 15.2 6 6 80.5
## 184 35 34.6 10 38 73.0
## 185 28 24.5 3 22 84.5
## 186 4 1.0 0 0 72.5
## 187 37 36.5 0 1 71.6
## 188 35 31.7 19 20 85.5
## 189 30 29.4 0 3 56.5
## 190 15 4.7 0 6 77.1
## 191 4 0.8 0 0 90.9
## 192 24 21.1 5 10 67.7
## 193 10 2.6 0 3 64.6
## 194 7 2.1 0 2 78.6
## 195 35 18.3 8 17 77.3
## 196 37 34.8 5 52 89.2
## 197 25 20.9 4 44 84.4
## 198 36 28.5 7 15 74.9
## 199 37 33.4 1 44 77.0
## 200 19 8.2 1 19 72.5
## 201 37 35.1 5 24 70.6
## 202 11 2.3 0 0 80.9
## 203 11 2.3 1 0 85.8
## 204 30 23.6 0 16 90.9
## 205 15 12.4 0 20 69.4
## 206 12 5.6 1 4 76.6
## 207 34 29.4 2 74 82.2
## 208 35 30.8 1 25 82.1
## 209 32 19.8 0 31 82.8
## 210 6 0.6 0 0 85.2
## 211 1 0.0 0 0 100.0
## 212 35 32.1 11 34 76.1
## 213 1 0.0 0 0 100.0
## 214 1 0.0 0 1 NA
## 215 26 12.5 1 12 82.3
## 216 9 8.6 0 0 49.7
## 217 20 11.2 3 8 86.0
## 218 36 34.6 4 46 86.1
## 219 25 22.5 0 19 86.9
## 220 37 36.3 7 53 83.9
## 221 27 19.5 0 27 86.4
## 222 28 25.9 4 33 87.1
## 223 31 28.4 27 3 76.0
## 224 2 0.1 0 0 100.0
## 225 18 8.7 1 18 81.9
## 226 36 32.3 4 21 68.4
## 227 1 0.8 0 1 78.6
## 228 29 24.6 3 22 64.8
## 229 10 6.6 0 5 80.5
## 230 37 29.3 13 15 80.0
## 231 28 26.3 0 26 92.1
## 232 29 23.5 12 10 77.0
## 233 18 18.0 0 1 57.7
## 234 5 4.5 0 5 80.3
## 235 35 32.6 17 13 82.5
## 236 9 7.9 0 9 87.7
## 237 5 0.8 0 2 66.7
## 238 12 9.7 3 5 83.9
## 239 10 7.9 0 7 65.4
## 240 29 20.6 8 8 78.0
## 241 30 21.0 0 33 83.3
## 242 36 14.6 0 18 87.2
## 243 30 24.0 10 7 75.6
## 244 24 18.2 0 18 93.4
## 245 20 4.5 1 2 71.0
## 246 9 1.8 0 5 92.7
## 247 30 25.1 21 0 78.1
## 248 2 1.6 0 0 64.3
## 249 30 24.4 5 18 78.1
## 250 35 31.1 14 13 77.3
## 251 10 4.7 0 9 80.6
## 252 38 33.9 1 38 77.8
## 253 1 0.2 0 0 33.3
## 254 32 24.5 3 32 72.8
## 255 27 16.4 4 17 78.6
## 256 24 15.5 7 12 68.6
## 257 31 22.7 9 14 80.6
## 258 20 14.2 2 27 83.6
## 259 11 5.6 0 6 64.2
## 260 14 6.0 0 7 73.7
## 261 32 23.2 5 15 71.3
## 262 3 2.6 0 1 77.0
## 263 2 0.9 0 0 83.3
## 264 20 20.0 0 0 57.3
## 265 23 13.0 1 14 91.1
## 266 24 10.2 0 10 89.0
## 267 21 12.7 10 13 72.8
## 268 8 4.4 1 5 74.4
## 269 3 0.5 0 0 66.7
## 270 14 12.1 1 12 75.2
## 271 24 19.2 0 28 70.2
## 272 11 1.8 2 2 63.3
## 273 20 18.4 0 29 89.1
## 274 8 3.7 0 1 84.9
## 275 38 37.8 0 1 59.2
## 276 1 1.0 0 0 56.8
## 277 9 4.9 1 3 77.4
## 278 4 0.2 0 1 100.0
## 279 10 10.0 0 0 81.2
## 280 23 17.3 0 19 74.3
## 281 2 0.4 0 0 85.7
## 282 28 21.9 0 26 72.6
## 283 3 0.1 0 0 NA
## 284 38 38.0 2 21 85.7
## 285 20 10.5 1 12 83.7
## 286 32 21.3 7 14 68.4
## 287 15 10.8 1 4 70.1
## 288 22 17.5 0 22 87.9
## 289 35 34.1 1 32 91.1
## 290 12 2.4 0 5 63.5
## 291 30 17.2 1 25 94.0
## 292 17 10.1 0 14 84.1
## 293 33 27.6 8 47 77.4
## 294 36 30.7 8 33 77.2
## 295 25 9.4 0 3 88.6
## 296 19 10.2 0 14 83.5
## 297 1 0.1 0 0 100.0
## 298 11 5.9 0 9 70.8
## 299 16 12.0 1 9 86.4
## 300 1 0.4 0 0 81.5
## 301 35 33.0 4 58 85.8
## 302 14 12.8 0 9 89.5
## 303 38 38.0 0 0 79.3
## 304 28 26.7 1 25 81.4
## 305 16 9.0 2 7 91.2
## 306 30 16.0 3 7 69.6
## 307 19 14.8 1 10 89.1
## 308 26 14.6 1 13 85.9
## 309 22 5.6 2 13 89.3
## 310 14 13.0 1 16 71.3
## 311 35 30.5 6 30 79.9
## 312 10 5.6 0 10 64.6
## 313 35 33.3 9 38 85.7
## 314 24 12.5 1 19 86.3
## 315 12 2.3 0 2 70.3
## 316 33 28.9 5 55 86.6
## 317 28 23.7 4 19 80.7
## 318 23 11.7 5 10 84.8
## 319 36 33.8 4 28 88.7
## 320 22 18.4 2 17 83.1
## 321 24 21.4 3 27 86.2
## 322 20 17.4 1 13 88.2
## 323 8 1.3 0 2 81.4
## 324 7 6.2 3 14 77.8
## 325 13 5.0 1 1 78.4
## 326 35 22.4 6 24 77.9
## 327 34 33.5 0 0 82.9
## 328 11 7.2 0 8 92.2
## 329 3 0.2 0 1 50.0
## 330 34 23.0 3 24 87.4
## 331 35 25.4 16 15 71.4
## 332 10 8.7 0 6 87.6
## 333 1 0.0 0 0 NA
## 334 1 0.0 0 0 0.0
## 335 29 14.7 6 7 71.9
## 336 2 1.2 0 0 84.6
## 337 19 16.7 1 16 75.9
## 338 25 21.8 9 10 66.8
## 339 30 20.2 3 21 68.3
## 340 1 0.0 0 0 NA
## 341 21 14.2 6 7 59.3
## 342 3 0.0 0 0 83.3
## 343 35 33.3 6 35 79.5
## 344 5 4.6 0 0 73.7
## 345 35 32.1 3 27 69.0
## 346 32 21.1 7 25 80.6
## 347 16 14.1 2 15 76.6
## 348 5 1.5 1 3 81.6
## 349 30 27.4 1 22 77.6
## 350 10 6.9 0 11 82.5
## 351 17 13.4 1 21 82.4
## 352 15 8.6 0 14 84.1
## 353 1 0.3 0 0 100.0
## 354 37 35.6 2 60 72.3
## 355 19 16.5 3 6 78.3
## 356 1 0.4 0 0 50.0
## 357 17 6.9 0 10 79.9
## 358 14 8.9 0 19 75.6
## 359 8 1.2 1 0 66.7
## 360 2 0.0 0 0 80.0
## 361 21 11.5 2 12 79.0
## 362 38 31.8 11 8 64.4
## 363 14 5.7 1 14 81.7
## 364 5 0.9 0 0 72.7
## 365 31 17.5 5 12 68.0
## 366 26 17.7 9 3 61.3
## 367 16 16.0 0 35 77.9
## 368 1 0.0 0 0 100.0
## 369 10 10.0 0 1 69.1
## 370 32 31.0 0 31 76.9
## 371 2 0.1 0 1 100.0
## 372 21 13.2 3 10 66.1
## 373 28 27.4 2 38 74.5
## 374 13 12.6 0 24 84.2
## 375 1 0.0 0 0 50.0
## 376 15 3.0 0 6 88.2
## 377 2 0.1 0 0 100.0
## 378 32 32.0 0 0 65.3
## 379 20 16.8 2 3 74.5
## 380 21 16.2 1 25 79.7
## 381 27 12.0 5 7 78.1
## 382 11 4.9 3 4 86.9
## 383 5 1.2 0 1 71.6
## 384 27 16.0 1 26 69.6
## 385 2 2.0 0 1 82.1
## 386 17 7.3 0 4 84.2
## 387 36 22.7 11 12 69.2
## 388 1 0.2 0 0 83.3
## 389 31 27.8 2 50 79.9
## 390 3 0.7 0 0 81.3
## 391 33 32.1 3 20 79.2
## 392 2 0.2 0 0 80.0
## 393 29 23.3 3 13 76.4
## 394 4 1.4 0 0 78.8
## 395 30 22.2 4 10 74.6
## 396 11 7.1 0 5 79.9
## 397 8 0.7 0 0 67.5
## 398 19 14.2 10 10 74.9
## 399 5 4.5 0 0 81.3
## 400 11 8.7 0 3 87.4
## 401 30 23.2 2 38 84.1
## 402 38 38.0 0 0 72.6
## 403 1 0.1 0 0 100.0
## 404 1 0.0 0 0 NA
## 405 8 4.5 0 6 67.4
## 406 26 12.9 1 24 75.5
## 407 20 6.7 0 4 63.9
## 408 9 7.1 0 0 80.1
## 409 24 15.2 0 9 73.7
## 410 21 20.5 2 22 82.2
## 411 21 8.7 0 2 52.7
## 412 30 13.7 1 27 66.5
## 413 9 1.7 0 6 94.1
## 414 33 30.0 4 75 82.4
## 415 33 29.0 22 12 79.2
## 416 1 0.1 0 0 80.0
## 417 36 34.9 1 68 81.4
## 418 31 29.1 4 48 73.9
## 419 1 0.3 0 0 33.3
## 420 14 8.8 0 11 89.6
## 421 20 11.2 0 24 71.5
## 422 3 0.1 0 0 60.0
## 423 1 0.1 0 0 100.0
## 424 9 1.9 0 3 75.9
## 425 37 29.0 3 12 70.4
## 426 5 1.1 0 2 69.7
## 427 23 22.1 0 0 78.8
## 428 8 3.4 0 6 78.8
## 429 4 1.0 0 3 88.6
## 430 1 0.0 0 0 75.0
## 431 38 38.0 0 0 62.6
## 432 29 28.0 2 23 83.2
## 433 15 14.9 0 0 76.9
## 434 35 34.3 3 63 76.2
## 435 17 13.2 2 22 88.6
## 436 2 2.0 0 0 82.4
## 437 6 1.5 0 1 74.0
## 438 6 6.0 0 0 69.7
## 439 14 5.9 0 14 78.1
## 440 16 9.5 1 8 79.8
## 441 33 25.2 7 12 75.3
## 442 32 32.0 0 1 74.9
## 443 18 16.7 1 9 89.1
## 444 12 1.6 0 1 65.8
## 445 27 14.7 0 18 83.8
## 446 9 4.6 0 8 77.7
## 447 16 12.4 0 20 67.2
## 448 33 15.8 6 14 74.7
## 449 9 2.6 0 3 84.3
## 450 4 0.2 0 0 75.0
## 451 38 35.8 7 51 88.9
## 452 26 23.3 1 28 82.6
## 453 28 16.6 11 11 68.1
## 454 9 2.6 0 3 77.0
## 455 13 1.4 1 3 75.3
## 456 14 9.1 0 5 79.8
## 457 23 18.8 3 24 80.7
## 458 37 36.3 0 58 73.7
## 459 34 32.1 1 28 71.3
## 460 34 32.6 8 43 92.0
## 461 21 9.1 2 9 65.7
## 462 34 22.1 1 31 66.8
## 463 11 7.1 3 1 75.4
## 464 33 31.0 5 40 91.7
## 465 11 4.3 0 2 82.9
## 466 27 12.2 0 5 73.6
## 467 35 33.7 0 0 65.6
## 468 1 0.0 0 0 0.0
## 469 35 32.4 16 35 75.6
## 470 32 28.2 18 11 73.0
## 471 38 38.0 2 26 92.4
## 472 17 14.5 1 18 87.3
## 473 1 0.9 0 0 90.7
## 474 16 15.9 0 0 82.1
## 475 3 0.9 0 0 79.1
## 476 17 11.5 0 23 79.8
## 477 1 0.1 0 0 100.0
## 478 30 19.4 4 13 70.1
## 479 4 0.2 0 1 66.7
## 480 11 3.7 2 1 61.1
## 481 36 33.9 4 24 82.8
## 482 29 15.0 2 24 74.0
## 483 23 11.3 1 15 76.2
## 484 16 16.0 0 0 69.6
## 485 36 34.3 0 48 79.7
## 486 33 23.4 8 17 69.9
## 487 31 24.9 4 32 77.5
## 488 12 10.7 0 8 81.9
## 489 1 0.2 0 0 66.7
## 490 33 28.6 6 23 86.3
## 491 8 2.9 0 4 80.3
## 492 31 28.1 3 15 94.7
## 493 20 7.8 2 12 77.4
## 494 21 7.9 0 12 91.6
## 495 28 23.9 0 23 76.3
## 496 13 3.9 0 1 88.3
## 497 3 0.7 0 0 87.0
## 498 38 36.9 19 11 73.5
## 499 5 2.2 0 3 86.7
## 500 37 31.9 7 35 75.1
## 501 36 29.6 1 76 79.5
## 502 17 17.0 0 0 84.7
## 503 31 22.0 8 10 73.9
## 504 16 11.8 1 1 93.1
## 505 2 1.5 0 0 73.2
## 506 33 23.4 3 19 82.6
## 507 3 0.9 0 0 87.8
## 508 38 38.0 1 42 77.1
## 509 1 0.0 0 0 NA
## 510 8 5.1 0 7 73.4
## 511 30 23.5 3 34 71.5
## 512 28 25.9 1 20 75.8
## 513 14 9.6 1 17 79.9
## 514 12 10.2 0 9 73.4
## 515 32 18.0 2 20 83.1
## 516 2 0.8 0 2 89.2
## 517 23 16.2 1 14 71.9
## 518 22 12.8 2 9 82.4
## 519 4 0.1 0 0 85.7
## 520 8 4.9 1 7 86.1
## 521 17 16.1 4 5 53.5
## 522 29 27.4 2 18 87.4
## 523 27 13.4 1 13 70.4
## 524 28 28.0 0 1 65.5
## 525 17 4.2 2 3 69.8
## 526 2 0.1 0 1 66.7
## 527 24 9.1 0 23 84.2
## 528 4 4.0 0 0 56.8
## 529 16 4.7 0 6 66.7
## 530 28 24.8 1 27 76.2
## 531 34 18.3 12 16 73.4
## 532 32 28.6 0 30 76.2
## 533 13 7.5 0 13 76.6
## 534 17 17.0 0 0 68.9
## 535 28 26.6 2 33 85.8
## 536 12 3.3 0 10 84.7
## 537 16 3.6 2 4 73.3
## 538 36 35.3 2 23 91.4
## 539 22 15.3 1 11 88.9
## 540 8 0.6 1 0 50.0
## 541 27 17.6 1 41 83.7
## 542 27 26.0 3 35 93.8
## 543 21 21.0 0 1 87.4
## 544 38 38.0 0 0 85.1
## 545 11 3.3 1 2 81.3
## 546 13 3.5 2 2 74.2
## 547 32 25.7 0 34 71.9
## 548 5 5.0 0 0 80.1
## 549 32 30.7 0 24 88.5
## 550 22 19.8 0 25 83.5
## 551 26 22.0 0 28 75.7
## 552 37 33.3 7 29 82.9
## 553 1 0.0 0 0 100.0
## 554 2 0.1 0 1 100.0
## 555 37 35.7 19 7 75.4
## 556 15 12.7 0 12 91.0
## 557 29 18.8 5 17 82.1
## 558 13 9.0 2 4 76.8
## 559 16 14.4 0 32 77.9
## 560 3 0.2 0 1 NA
## 561 37 33.2 4 28 84.0
## 562 4 0.1 0 1 91.7
## 563 26 18.2 0 40 66.1
## 564 31 22.8 4 11 81.4
## 565 9 4.7 1 7 82.9
## 566 20 11.0 9 3 64.4
## 567 35 18.0 4 14 75.6
## 568 34 27.7 12 16 70.8
## 569 31 20.1 14 4 64.2
## 570 24 4.7 1 10 72.4
## 571 7 4.9 0 5 84.1
## 572 27 7.6 0 11 74.2
## 573 35 22.1 1 39 79.6
## 574 31 25.3 0 38 68.7
## 575 37 37.0 1 32 81.5
## 576 25 9.3 2 9 65.8
## 577 6 1.7 0 0 61.4
## 578 27 19.1 1 30 87.6
## 579 33 31.5 3 17 83.8
## 580 35 34.3 8 17 84.3
## 581 NA NA NA NA NA
## 582 NA NA NA NA NA
## 583 NA NA NA NA NA
## 584 NA NA NA NA NA
## 585 NA NA NA NA NA
## 586 NA NA NA NA NA
## 587 NA NA NA NA NA
## 588 NA NA NA NA NA
## 589 NA NA NA NA NA
## 590 NA NA NA NA NA
## 591 NA NA NA NA NA
## 592 NA NA NA NA NA
## 593 NA NA NA NA NA
## 594 NA NA NA NA NA
## 595 NA NA NA NA NA
## 596 NA NA NA NA NA
## 597 NA NA NA NA NA
## 598 NA NA NA NA NA
## 599 NA NA NA NA NA
## 600 NA NA NA NA NA
## 601 NA NA NA NA NA
## 602 NA NA NA NA NA
## Short.Pass.. Long.Pass.. Assist Key.Passes Corsses Aerial.Dual.Won..
## 1 88.7 54.0 1 7 13 31.3
## 2 NA 0.0 0 0 0 0.0
## 3 89.5 100.0 0 4 3 10.0
## 4 89.7 75.0 0 1 1 40.0
## 5 90.2 65.0 0 2 1 66.7
## 6 77.0 50.0 0 14 5 50.0
## 7 83.9 52.6 1 33 76 40.0
## 8 93.1 48.1 0 4 5 60.0
## 9 50.0 NA 0 0 0 NA
## 10 85.4 71.4 0 1 6 50.0
## 11 87.0 38.7 0 7 6 58.0
## 12 87.7 45.5 1 11 28 57.1
## 13 91.1 52.8 1 25 41 45.7
## 14 86.4 43.7 1 12 22 73.3
## 15 96.0 77.3 0 13 9 50.0
## 16 95.8 50.6 2 10 11 62.2
## 17 100.0 50.0 0 0 0 NA
## 18 92.1 49.3 4 64 168 57.1
## 19 99.6 51.8 0 1 0 75.0
## 20 90.1 55.3 1 24 24 46.2
## 21 90.4 65.9 1 12 4 46.9
## 22 90.6 40.0 8 67 137 14.3
## 23 81.5 68.6 1 16 8 21.1
## 24 89.1 83.6 0 6 7 45.5
## 25 87.3 51.4 3 20 31 65.9
## 26 88.0 29.6 2 15 19 61.3
## 27 85.0 16.7 0 0 2 25.0
## 28 72.1 50.0 2 8 27 38.4
## 29 84.8 53.3 1 22 16 8.7
## 30 86.5 52.0 0 11 7 37.5
## 31 82.6 55.6 1 23 5 14.3
## 32 83.3 NA 0 0 0 NA
## 33 97.4 44.8 0 0 0 90.9
## 34 80.9 32.3 2 13 29 43.3
## 35 84.9 37.8 2 4 22 60.0
## 36 79.3 60.0 3 10 1 30.4
## 37 87.2 32.4 7 25 97 35.1
## 38 95.5 67.0 1 6 2 56.0
## 39 83.6 58.5 9 52 75 36.8
## 40 100.0 NA 0 0 0 NA
## 41 88.5 34.6 1 7 18 50.0
## 42 93.7 80.0 0 8 0 72.7
## 43 76.7 75.0 0 0 4 0.0
## 44 84.6 46.7 1 4 3 33.3
## 45 91.6 30.4 0 4 30 12.5
## 46 90.0 65.0 4 44 45 55.3
## 47 87.1 43.8 3 13 12 33.3
## 48 88.6 42.9 0 2 4 46.7
## 49 94.0 57.3 0 1 3 54.5
## 50 66.7 NA 0 0 0 NA
## 51 100.0 NA 0 1 0 NA
## 52 87.1 40.7 0 8 13 47.6
## 53 89.4 48.3 1 12 30 23.5
## 54 67.1 80.0 0 3 0 28.0
## 55 84.1 53.3 1 11 17 16.7
## 56 90.1 70.7 1 8 9 38.9
## 57 100.0 36.8 0 0 0 100.0
## 58 89.1 49.2 3 35 70 40.0
## 59 89.2 81.2 2 29 12 57.1
## 60 84.4 40.0 1 2 8 50.0
## 61 67.3 71.4 0 11 5 45.6
## 62 90.6 69.6 1 3 0 51.9
## 63 83.2 55.4 2 23 29 60.0
## 64 94.2 81.0 0 11 1 48.3
## 65 72.7 NA 0 1 0 NA
## 66 94.4 100.0 1 9 5 33.3
## 67 85.8 41.1 0 10 40 64.1
## 68 87.8 45.0 1 9 1 68.7
## 69 93.5 74.2 2 5 0 66.7
## 70 83.3 47.9 6 31 75 32.0
## 71 86.5 57.1 3 15 18 68.8
## 72 86.8 54.2 0 4 1 68.6
## 73 85.2 70.6 1 8 9 23.3
## 74 85.4 57.1 0 2 3 17.4
## 75 93.8 50.0 0 3 1 22.2
## 76 78.9 NA 1 1 1 40.0
## 77 83.2 31.6 0 3 8 44.0
## 78 85.5 43.5 1 8 15 14.3
## 79 71.7 25.0 0 8 10 44.3
## 80 84.8 48.2 2 34 57 50.7
## 81 80.9 60.9 0 25 62 30.0
## 82 89.0 40.7 0 6 29 42.9
## 83 92.2 48.6 0 2 2 36.6
## 84 88.2 60.0 1 18 6 27.3
## 85 81.0 47.5 4 13 13 59.0
## 86 86.3 48.6 2 10 11 68.2
## 87 100.0 NA 0 0 0 NA
## 88 93.4 76.5 3 23 10 49.2
## 89 93.6 62.4 4 26 25 70.0
## 90 64.6 50.0 2 19 3 48.8
## 91 NA NA 0 0 0 NA
## 92 94.4 53.8 0 3 1 44.7
## 93 85.3 100.0 0 2 0 75.0
## 94 89.9 56.1 2 16 13 65.6
## 95 NA NA 0 0 0 100.0
## 96 89.9 48.1 2 13 39 41.7
## 97 88.8 56.2 3 18 50 52.2
## 98 NA NA 0 0 0 NA
## 99 92.1 50.0 0 2 0 46.3
## 100 94.0 60.0 1 1 0 50.0
## 101 59.4 100.0 0 4 0 44.1
## 102 88.8 37.5 1 14 43 44.4
## 103 93.5 66.7 0 1 4 25.0
## 104 92.3 100.0 0 0 0 25.0
## 105 88.3 59.3 0 10 35 29.0
## 106 85.4 56.5 5 55 73 35.6
## 107 93.2 80.0 1 4 1 25.0
## 108 79.3 50.0 0 0 0 NA
## 109 77.9 52.4 1 12 23 54.5
## 110 92.4 51.9 0 3 9 61.9
## 111 84.1 31.4 0 3 13 20.0
## 112 87.5 54.2 1 11 4 67.6
## 113 89.7 43.6 1 7 12 68.3
## 114 85.0 43.6 3 46 132 59.2
## 115 81.3 33.3 0 0 1 0.0
## 116 79.4 0.0 0 4 1 0.0
## 117 89.1 33.1 7 33 106 51.9
## 118 78.6 NA 0 0 0 NA
## 119 91.6 52.1 0 5 11 66.7
## 120 92.2 49.2 2 19 16 56.4
## 121 92.5 54.3 3 26 26 44.2
## 122 86.3 56.1 7 28 24 25.4
## 123 75.0 0.0 0 0 1 NA
## 124 96.0 64.0 1 10 3 0.0
## 125 94.5 54.5 0 2 3 37.8
## 126 89.2 65.3 3 37 80 56.1
## 127 77.8 47.3 2 10 29 52.2
## 128 85.9 56.9 2 20 26 58.3
## 129 82.6 28.6 0 6 10 37.5
## 130 75.0 NA 0 0 0 0.0
## 131 71.4 0.0 0 1 6 NA
## 132 71.3 83.3 1 8 3 28.3
## 133 93.5 74.1 0 4 10 58.0
## 134 82.0 28.6 0 1 4 50.0
## 135 88.9 66.7 1 9 1 66.3
## 136 88.6 49.3 10 59 136 54.5
## 137 93.5 51.6 0 4 5 47.1
## 138 85.7 50.0 0 0 0 44.4
## 139 85.1 53.1 8 47 45 11.8
## 140 91.3 80.0 1 10 1 40.0
## 141 100.0 NA 0 0 0 NA
## 142 96.6 71.6 0 7 13 52.8
## 143 90.2 74.7 5 64 26 35.1
## 144 91.2 30.0 0 0 0 37.5
## 145 88.2 44.6 3 37 154 63.6
## 146 93.0 54.1 0 0 0 59.5
## 147 96.1 51.2 0 3 10 69.9
## 148 100.0 NA 0 0 0 NA
## 149 88.9 40.0 0 4 7 66.7
## 150 85.1 56.4 0 12 13 53.5
## 151 89.2 78.8 8 45 61 40.0
## 152 89.6 73.8 2 10 6 52.5
## 153 100.0 NA 0 0 0 50.0
## 154 84.1 47.5 1 34 26 37.5
## 155 90.1 75.0 0 10 1 35.7
## 156 86.9 39.0 8 70 340 65.7
## 157 93.4 59.6 0 8 28 0.0
## 158 87.8 50.0 0 0 0 60.0
## 159 98.5 47.0 0 1 0 100.0
## 160 100.0 0.0 0 0 0 100.0
## 161 97.2 63.5 1 13 7 64.0
## 162 73.9 60.0 0 4 6 62.5
## 163 92.3 NA 0 0 0 NA
## 164 99.6 62.7 0 1 0 100.0
## 165 79.2 63.6 0 18 10 35.7
## 166 77.6 23.7 0 0 0 63.6
## 167 93.0 70.6 0 1 0 30.8
## 168 80.1 53.6 9 32 58 31.5
## 169 92.1 62.9 6 37 62 40.9
## 170 94.7 NA 0 0 0 50.0
## 171 94.8 71.1 0 3 14 41.7
## 172 86.5 75.0 2 9 8 33.3
## 173 92.3 71.4 0 16 4 53.4
## 174 88.5 56.1 2 27 43 12.5
## 175 89.8 45.6 0 1 5 54.2
## 176 91.6 50.0 3 26 65 46.2
## 177 92.3 55.6 1 6 0 66.7
## 178 87.2 45.5 4 54 107 33.3
## 179 100.0 47.9 0 0 0 100.0
## 180 75.0 33.3 0 0 3 0.0
## 181 94.4 90.9 0 6 3 9.1
## 182 87.1 63.6 0 2 0 70.0
## 183 86.7 73.3 0 6 1 41.9
## 184 87.4 53.0 8 114 223 45.7
## 185 90.8 71.8 2 32 45 47.7
## 186 77.8 50.0 0 2 0 22.2
## 187 98.8 47.4 1 4 0 90.9
## 188 94.0 50.4 8 73 89 26.1
## 189 99.0 36.8 0 1 0 50.0
## 190 86.5 60.0 0 5 8 33.3
## 191 100.0 NA 1 2 0 0.0
## 192 73.5 70.0 3 19 3 32.1
## 193 69.0 38.5 1 6 14 16.7
## 194 88.9 NA 0 2 0 25.0
## 195 84.4 75.0 5 25 21 54.2
## 196 94.4 65.1 7 52 64 47.2
## 197 89.7 59.1 0 15 11 59.1
## 198 83.4 54.0 4 46 58 19.4
## 199 86.6 48.6 2 44 112 48.9
## 200 87.7 34.6 0 9 42 25.0
## 201 81.9 51.2 10 74 182 46.9
## 202 85.2 50.0 0 4 11 0.0
## 203 86.3 50.0 0 0 1 33.3
## 204 96.0 62.4 1 22 34 35.5
## 205 81.7 37.1 0 3 21 51.0
## 206 84.8 52.9 0 4 26 11.1
## 207 89.6 53.2 1 20 25 41.9
## 208 91.0 39.2 3 6 13 65.1
## 209 90.4 63.4 1 22 39 75.6
## 210 93.5 50.0 1 1 4 0.0
## 211 100.0 NA 0 0 0 NA
## 212 86.9 51.5 10 57 111 34.6
## 213 NA NA 0 0 0 100.0
## 214 NA NA 0 0 0 NA
## 215 87.1 66.7 0 16 4 41.7
## 216 100.0 35.0 0 0 0 100.0
## 217 91.8 71.9 1 26 16 42.9
## 218 94.6 53.8 10 103 238 45.2
## 219 90.1 61.3 1 7 3 50.0
## 220 90.5 63.5 8 62 32 43.9
## 221 91.8 65.8 6 32 64 29.6
## 222 92.2 72.0 1 18 33 56.4
## 223 81.4 62.5 5 29 5 48.1
## 224 100.0 NA 0 0 0 0.0
## 225 92.3 54.1 0 3 23 47.6
## 226 82.6 36.0 6 70 115 27.3
## 227 62.5 100.0 0 0 0 NA
## 228 83.5 31.5 3 28 81 34.5
## 229 93.5 47.1 0 3 9 50.0
## 230 86.2 46.7 7 46 12 50.2
## 231 94.8 73.1 0 10 4 66.0
## 232 82.1 61.9 3 17 11 13.7
## 233 96.2 29.2 0 0 0 100.0
## 234 87.2 57.9 1 4 11 44.4
## 235 87.2 60.5 10 68 36 23.8
## 236 95.7 70.0 0 1 5 10.0
## 237 81.3 50.0 0 0 0 80.0
## 238 87.3 40.9 0 8 10 46.7
## 239 78.3 43.2 0 1 7 56.3
## 240 90.5 55.4 1 36 74 22.2
## 241 89.2 43.5 1 21 30 41.4
## 242 90.8 70.4 0 9 14 38.1
## 243 80.6 91.7 2 28 6 27.8
## 244 96.2 72.1 0 7 1 68.4
## 245 80.0 12.5 0 5 1 25.0
## 246 96.8 NA 0 0 0 100.0
## 247 84.6 68.2 2 27 10 20.4
## 248 92.9 46.7 0 4 10 NA
## 249 88.7 55.9 2 49 60 24.0
## 250 83.7 74.1 5 38 5 35.7
## 251 88.3 55.9 2 11 28 61.5
## 252 86.9 53.8 3 37 59 56.7
## 253 100.0 NA 0 0 0 NA
## 254 85.6 56.7 3 41 113 31.3
## 255 84.6 62.5 5 29 9 28.3
## 256 80.6 51.5 0 11 7 42.7
## 257 88.0 55.8 3 37 29 65.1
## 258 89.1 76.0 1 23 2 36.7
## 259 87.1 23.1 0 5 49 100.0
## 260 90.4 42.4 0 0 31 36.8
## 261 82.2 33.3 10 45 68 23.8
## 262 86.2 100.0 0 1 2 33.3
## 263 100.0 55.6 0 0 0 0.0
## 264 97.8 38.7 0 0 0 66.7
## 265 94.6 73.3 1 11 4 36.8
## 266 94.7 76.3 2 10 3 50.0
## 267 81.5 64.7 3 22 9 30.9
## 268 87.2 47.4 0 0 0 68.8
## 269 90.9 33.3 0 1 3 50.0
## 270 86.6 43.5 0 7 8 53.1
## 271 85.5 44.9 2 16 66 48.6
## 272 66.7 40.0 0 4 1 66.7
## 273 93.0 68.3 1 20 2 43.2
## 274 94.9 21.4 0 0 0 75.0
## 275 98.9 38.6 0 1 0 100.0
## 276 100.0 16.7 0 0 0 NA
## 277 78.3 54.8 0 0 0 59.3
## 278 100.0 NA 0 0 0 33.3
## 279 100.0 44.3 0 1 0 100.0
## 280 84.5 47.1 1 9 21 60.9
## 281 80.0 NA 0 0 0 0.0
## 282 85.9 45.7 1 12 55 36.7
## 283 NA NA 0 0 0 0.0
## 284 93.0 52.9 0 17 6 70.5
## 285 89.1 58.6 3 6 12 57.7
## 286 75.8 56.3 1 21 29 35.3
## 287 82.4 22.2 1 11 23 6.9
## 288 90.8 57.9 0 8 1 71.3
## 289 94.2 73.6 0 8 17 68.2
## 290 74.4 50.0 0 1 0 50.0
## 291 96.9 71.9 0 21 0 50.0
## 292 89.5 38.5 0 9 17 46.4
## 293 88.1 64.8 6 28 94 34.1
## 294 87.1 54.2 3 66 89 31.8
## 295 92.6 87.5 1 15 7 37.5
## 296 89.7 59.1 3 10 31 30.8
## 297 100.0 NA 0 0 0 NA
## 298 85.4 35.3 0 2 6 20.0
## 299 91.6 47.5 0 2 1 66.2
## 300 90.0 0.0 0 0 0 NA
## 301 91.1 63.0 1 20 15 46.1
## 302 94.7 64.6 1 2 3 57.7
## 303 99.3 42.6 0 0 0 90.9
## 304 88.6 57.0 1 24 14 67.6
## 305 96.6 60.0 0 13 1 0.0
## 306 82.0 33.9 1 13 50 40.5
## 307 91.5 68.6 1 8 1 41.5
## 308 92.1 50.9 0 12 26 60.0
## 309 93.8 73.3 2 18 13 16.7
## 310 77.9 50.4 1 3 1 66.0
## 311 86.6 62.6 2 20 25 45.0
## 312 74.6 50.0 0 2 8 31.3
## 313 93.2 60.5 5 53 115 58.1
## 314 89.1 69.0 0 11 4 57.9
## 315 82.2 50.0 0 2 8 37.5
## 316 91.1 62.1 5 47 32 52.5
## 317 92.3 52.2 9 67 133 33.3
## 318 91.2 65.0 2 20 22 41.2
## 319 95.0 54.3 0 3 4 55.4
## 320 90.3 58.0 2 6 3 78.4
## 321 90.3 60.8 1 15 6 42.2
## 322 91.0 78.7 0 6 2 75.0
## 323 100.0 75.0 0 1 9 0.0
## 324 84.9 63.0 1 7 21 60.0
## 325 87.5 50.0 0 6 0 30.8
## 326 86.5 55.3 4 46 109 36.6
## 327 99.2 49.3 0 2 0 100.0
## 328 96.9 63.4 1 3 2 44.4
## 329 71.4 NA 0 0 2 0.0
## 330 92.2 67.5 3 20 25 47.1
## 331 79.6 92.9 5 32 20 42.4
## 332 91.7 70.2 0 2 0 73.7
## 333 NA NA 0 0 0 NA
## 334 NA 0.0 0 0 0 100.0
## 335 82.7 71.9 3 15 8 25.5
## 336 92.3 100.0 0 1 0 0.0
## 337 86.6 40.5 0 3 1 65.7
## 338 80.2 52.7 6 32 92 34.3
## 339 79.5 44.6 3 28 36 24.4
## 340 NA NA 0 0 0 NA
## 341 63.7 57.1 3 12 5 49.3
## 342 100.0 NA 0 0 0 NA
## 343 88.8 59.9 4 44 74 32.1
## 344 79.2 60.7 0 3 0 87.0
## 345 87.1 46.0 6 69 229 44.4
## 346 86.2 73.2 1 11 4 45.6
## 347 87.6 47.6 0 6 5 52.2
## 348 100.0 50.0 0 2 1 33.3
## 349 86.5 46.3 0 6 2 58.3
## 350 83.5 63.6 1 3 1 59.2
## 351 86.1 60.0 3 12 11 47.8
## 352 90.6 58.7 2 16 29 31.6
## 353 NA 100.0 0 1 0 100.0
## 354 84.3 44.4 3 24 69 44.7
## 355 86.4 37.5 4 25 44 50.0
## 356 33.3 100.0 0 0 0 66.7
## 357 90.9 35.7 0 4 6 37.5
## 358 90.1 42.1 2 9 16 60.0
## 359 75.9 NA 0 2 2 50.0
## 360 75.0 NA 0 0 0 NA
## 361 89.0 56.7 0 11 37 28.6
## 362 74.7 52.9 4 22 15 44.0
## 363 88.8 58.8 0 6 14 40.0
## 364 75.0 100.0 0 0 0 44.4
## 365 79.0 45.5 2 32 78 35.0
## 366 65.5 75.0 1 18 2 40.4
## 367 87.5 40.0 4 21 11 48.1
## 368 NA NA 0 0 0 NA
## 369 98.5 46.4 0 4 0 100.0
## 370 88.0 47.2 2 7 4 48.7
## 371 100.0 100.0 0 0 0 NA
## 372 82.0 31.1 7 31 77 28.6
## 373 88.9 47.9 0 13 56 52.6
## 374 90.6 64.3 0 7 4 36.4
## 375 NA NA 0 0 0 NA
## 376 96.4 50.0 0 5 14 0.0
## 377 100.0 NA 0 0 0 NA
## 378 97.9 40.3 0 0 0 100.0
## 379 87.0 50.0 9 38 115 18.2
## 380 94.0 53.7 0 3 11 75.0
## 381 83.1 75.0 2 9 5 46.0
## 382 92.7 40.0 0 3 4 62.5
## 383 92.0 28.6 0 1 2 50.0
## 384 83.1 41.5 0 17 52 46.7
## 385 86.8 33.3 0 3 3 66.7
## 386 91.4 47.8 2 9 19 38.5
## 387 78.1 59.5 8 33 19 38.2
## 388 76.9 NA 0 1 0 100.0
## 389 88.1 53.4 1 24 22 46.5
## 390 87.5 NA 0 0 0 25.0
## 391 83.3 55.3 4 13 11 65.5
## 392 100.0 NA 0 0 0 0.0
## 393 86.4 51.6 2 31 35 34.8
## 394 95.1 28.6 0 0 3 50.0
## 395 89.2 38.6 1 25 79 54.9
## 396 89.6 36.8 0 0 0 63.2
## 397 85.0 20.0 0 0 7 33.3
## 398 88.5 47.4 6 36 97 31.8
## 399 100.0 41.3 0 0 0 100.0
## 400 85.7 64.0 0 2 0 41.2
## 401 89.0 73.9 0 18 3 74.3
## 402 99.6 40.4 0 3 0 87.5
## 403 100.0 NA 0 0 0 NA
## 404 NA NA 0 0 0 NA
## 405 77.6 28.6 0 2 13 57.1
## 406 87.8 51.4 2 12 16 30.3
## 407 72.0 69.2 1 7 13 39.3
## 408 100.0 47.9 0 0 0 100.0
## 409 90.0 38.9 2 13 47 21.4
## 410 87.8 47.1 0 2 3 50.0
## 411 58.9 40.0 0 1 2 25.5
## 412 74.5 43.9 2 17 36 52.2
## 413 95.5 NA 0 0 0 37.5
## 414 89.1 62.0 1 13 5 56.3
## 415 90.3 54.3 11 72 81 20.0
## 416 100.0 NA 0 0 0 NA
## 417 90.8 51.9 2 25 49 52.1
## 418 83.8 54.9 6 43 35 50.0
## 419 0.0 NA 0 0 0 0.0
## 420 92.8 68.5 0 6 2 46.7
## 421 86.9 44.2 2 8 32 41.2
## 422 100.0 0.0 0 1 1 0.0
## 423 100.0 NA 0 0 0 NA
## 424 88.7 NA 1 1 4 60.0
## 425 87.2 46.0 7 84 220 26.5
## 426 79.5 53.8 1 5 13 100.0
## 427 100.0 42.6 0 0 0 100.0
## 428 83.8 60.0 0 0 1 87.5
## 429 96.9 70.0 0 0 2 NA
## 430 100.0 NA 0 0 0 NA
## 431 99.3 44.7 0 4 0 100.0
## 432 85.6 55.1 0 4 7 68.9
## 433 98.3 47.9 0 0 0 75.0
## 434 90.3 40.7 7 51 198 51.7
## 435 93.9 53.0 0 3 0 67.2
## 436 100.0 42.1 0 0 0 NA
## 437 85.7 66.7 0 2 3 66.7
## 438 100.0 37.2 0 0 0 NA
## 439 84.5 90.0 0 1 2 44.4
## 440 82.7 75.0 1 10 11 62.5
## 441 84.0 54.1 2 23 35 36.6
## 442 98.7 41.7 0 0 0 83.3
## 443 92.5 76.9 0 0 1 56.8
## 444 83.3 44.4 0 3 3 50.0
## 445 89.7 64.7 2 14 19 40.9
## 446 87.3 61.5 0 8 29 35.7
## 447 83.0 41.5 4 20 72 41.2
## 448 87.9 45.9 2 17 35 35.1
## 449 93.2 53.8 1 7 8 43.8
## 450 50.0 NA 0 0 0 66.7
## 451 92.9 65.2 8 47 60 47.6
## 452 87.7 58.0 1 6 1 58.1
## 453 79.3 66.7 4 15 14 30.5
## 454 88.1 38.5 0 0 3 75.0
## 455 84.9 22.2 0 0 7 0.0
## 456 89.0 50.7 1 7 10 46.2
## 457 93.1 51.0 2 62 184 53.8
## 458 83.4 54.3 6 33 132 60.9
## 459 87.4 39.5 1 12 12 60.5
## 460 94.5 84.8 9 49 12 71.1
## 461 74.8 33.3 1 4 1 35.6
## 462 79.1 50.5 2 15 62 34.1
## 463 77.8 85.7 1 9 2 46.7
## 464 93.3 70.3 0 7 3 69.0
## 465 95.6 33.3 0 4 12 0.0
## 466 87.2 44.4 0 6 11 38.7
## 467 97.9 31.0 1 1 0 100.0
## 468 0.0 NA 0 0 0 0.0
## 469 88.9 43.7 9 91 181 39.0
## 470 84.9 66.2 10 66 41 30.0
## 471 94.3 69.3 1 6 3 59.5
## 472 91.7 72.4 3 9 13 62.5
## 473 97.4 50.0 0 0 0 75.0
## 474 99.3 53.1 0 0 0 100.0
## 475 88.0 100.0 0 1 1 0.0
## 476 87.4 64.0 0 7 2 33.3
## 477 100.0 NA 0 0 0 NA
## 478 85.9 43.5 7 51 131 25.0
## 479 100.0 NA 0 0 0 0.0
## 480 73.5 50.0 1 4 5 54.8
## 481 90.9 59.7 1 10 8 49.6
## 482 80.2 28.0 2 19 10 56.4
## 483 81.9 41.7 1 22 36 38.9
## 484 100.0 45.0 0 1 0 100.0
## 485 90.4 43.7 1 24 80 44.9
## 486 78.4 51.0 2 29 45 39.1
## 487 90.3 52.5 5 22 25 48.1
## 488 89.2 47.7 0 13 33 56.5
## 489 NA 50.0 0 0 0 NA
## 490 94.4 67.1 9 64 83 18.2
## 491 86.0 25.0 0 4 0 28.6
## 492 96.6 76.9 1 9 4 66.2
## 493 85.8 65.0 2 20 11 44.4
## 494 94.8 79.2 0 7 1 23.1
## 495 89.6 36.2 2 17 39 45.0
## 496 89.5 25.0 1 4 1 37.5
## 497 95.1 62.5 0 0 4 0.0
## 498 83.2 61.1 3 39 6 41.8
## 499 93.8 75.0 2 12 5 0.0
## 500 80.9 62.8 2 20 6 58.1
## 501 87.2 56.2 0 4 10 62.7
## 502 99.5 53.9 0 0 0 100.0
## 503 84.8 54.5 4 30 59 12.5
## 504 94.4 75.9 0 6 5 73.7
## 505 100.0 51.4 0 0 0 NA
## 506 89.3 58.0 2 56 113 37.5
## 507 100.0 66.7 0 1 0 0.0
## 508 83.5 58.5 1 22 6 69.7
## 509 NA NA 0 0 0 NA
## 510 86.0 39.3 0 2 16 60.0
## 511 85.0 42.3 4 44 116 29.5
## 512 88.1 45.0 1 15 71 51.9
## 513 87.7 61.4 0 3 23 50.0
## 514 86.5 43.2 0 2 13 40.0
## 515 91.5 63.0 6 18 31 59.1
## 516 97.2 50.0 0 0 1 50.0
## 517 84.8 42.7 3 18 47 62.5
## 518 89.5 48.2 1 6 14 55.6
## 519 88.9 100.0 0 0 0 100.0
## 520 92.2 57.9 0 7 11 100.0
## 521 61.6 48.4 2 12 22 47.0
## 522 92.6 55.8 0 8 8 51.1
## 523 85.5 43.2 3 18 74 0.0
## 524 98.5 32.0 0 0 0 82.4
## 525 83.9 41.7 3 7 26 60.0
## 526 100.0 0.0 0 0 0 NA
## 527 88.5 67.6 0 6 6 27.3
## 528 100.0 33.8 0 0 0 100.0
## 529 84.9 21.1 0 7 32 10.0
## 530 88.5 49.0 10 65 212 64.6
## 531 86.0 51.7 1 24 57 33.3
## 532 85.2 47.2 0 8 5 55.5
## 533 89.8 49.4 3 16 72 18.8
## 534 100.0 49.1 0 0 0 100.0
## 535 91.8 57.6 3 24 22 45.8
## 536 87.8 90.9 0 3 0 81.8
## 537 77.8 80.0 2 5 3 42.1
## 538 94.2 73.5 2 11 0 81.4
## 539 93.7 66.2 0 1 0 80.8
## 540 50.0 100.0 0 0 0 33.3
## 541 89.0 58.5 1 4 11 57.1
## 542 96.6 79.8 0 1 3 48.1
## 543 99.0 57.1 0 0 0 100.0
## 544 99.3 39.1 0 0 0 95.5
## 545 89.3 52.9 2 5 15 100.0
## 546 82.4 100.0 0 5 1 26.7
## 547 83.8 53.6 2 11 56 46.3
## 548 100.0 58.8 0 1 0 NA
## 549 93.9 67.5 4 25 59 62.5
## 550 89.5 50.0 2 12 14 52.5
## 551 90.4 34.3 1 3 22 48.9
## 552 92.1 49.6 7 64 189 44.1
## 553 NA 100.0 0 0 0 NA
## 554 NA NA 0 0 0 NA
## 555 80.7 47.4 13 45 13 38.0
## 556 92.6 70.9 0 5 1 71.7
## 557 87.1 50.0 1 22 3 42.1
## 558 86.2 50.0 3 15 28 33.3
## 559 85.7 56.3 3 21 25 36.8
## 560 NA NA 0 0 0 NA
## 561 90.9 49.7 4 38 57 62.1
## 562 87.5 100.0 0 0 0 0.0
## 563 86.7 32.3 1 11 68 60.8
## 564 89.7 69.4 2 44 75 37.5
## 565 92.7 75.0 0 7 6 50.0
## 566 78.3 42.9 1 8 3 36.0
## 567 86.4 57.8 6 22 42 45.5
## 568 79.4 55.2 3 30 21 44.7
## 569 68.5 63.6 1 22 2 42.9
## 570 80.5 33.3 1 9 10 38.5
## 571 83.3 51.9 0 2 0 54.5
## 572 83.6 42.9 0 3 14 47.4
## 573 84.0 55.2 1 7 6 53.2
## 574 87.8 37.9 0 21 100 37.3
## 575 85.6 51.9 0 7 1 55.6
## 576 79.0 40.0 0 10 18 33.3
## 577 74.2 54.5 0 2 11 0.0
## 578 92.5 70.9 2 29 30 62.8
## 579 91.8 56.1 0 4 0 57.4
## 580 91.4 65.0 10 102 77 25.0
## 581 NA NA NA NA NA NA
## 582 NA NA NA NA NA NA
## 583 NA NA NA NA NA NA
## 584 NA NA NA NA NA NA
## 585 NA NA NA NA NA NA
## 586 NA NA NA NA NA NA
## 587 NA NA NA NA NA NA
## 588 NA NA NA NA NA NA
## 589 NA NA NA NA NA NA
## 590 NA NA NA NA NA NA
## 591 NA NA NA NA NA NA
## 592 NA NA NA NA NA NA
## 593 NA NA NA NA NA NA
## 594 NA NA NA NA NA NA
## 595 NA NA NA NA NA NA
## 596 NA NA NA NA NA NA
## 597 NA NA NA NA NA NA
## 598 NA NA NA NA NA NA
## 599 NA NA NA NA NA NA
## 600 NA NA NA NA NA NA
## 601 NA NA NA NA NA NA
## 602 NA NA NA NA NA NAHere we are calculating the average salary for the players and teams so we can use as the budget for the Dream Team
# Calculate the average weekly salary
average_weekly_salary <- mean(Soccercsv$Weekly.Salary, na.rm = TRUE)
# Multiply by 52 to get the average team yearly salary
average_yearly_salary <- average_weekly_salary * 52
# Format the numbers as currency
average_weekly_salary_formatted <- dollar(average_weekly_salary)
average_yearly_salary_formatted <- dollar(average_yearly_salary)
# Print the results with improved output
cat("Average Player Weekly Salary:", average_weekly_salary_formatted, "\n")## Average Player Weekly Salary: $90,984.02cat("Average Player Yearly Salary:", average_yearly_salary_formatted, "\n")## Average Player Yearly Salary: $4,731,169# Calculate the average, maximum, and minimum values
average_team_salary_year <- mean(Soccercsv$Team.Salary.Year, na.rm = TRUE)
max_team_salary_year <- max(Soccercsv$Team.Salary.Year, na.rm = TRUE)
min_team_salary_year <- min(Soccercsv$Team.Salary.Year, na.rm = TRUE)
# Format the numbers as currency
average_team_salary_year_formatted <- dollar(average_team_salary_year)
max_team_salary_year_formatted <- dollar(max_team_salary_year)
min_team_salary_year_formatted <- dollar(min_team_salary_year)
# Print the results with improved output
cat("Average Team Yearly Salary:", average_team_salary_year_formatted, "\n")## Average Team Yearly Salary: $134,518,021cat("Maximum Team Yearly Salary:", max_team_salary_year_formatted, "\n")## Maximum Team Yearly Salary: $285,744,352cat("Minimum Team Yearly Salary:", min_team_salary_year_formatted, "\n")## Minimum Team Yearly Salary: $41,563,553Here we have one dataframe per position as with the columns that the professor suggested so that we can create the index