Referees

  Correlations

This section contain analyses of the man in black, the referee. The first option, Tables, deals with a breakdown by League and Season of how referees are performing, giving basic statistics such as fouls per game etc. Trends allows the user to choose their referee and look at how that referee has performed over time.

Favourites looks at how well your team does with certain referees, whilst correlations again looks at the relationship between yellow cards and fouls, but this time from a refereeing perspective.

Click on any of the items below to view these options.

League: Season:

Cards v Fouls
English Premier - 2021/2022
# Team Played Fouls Cards Predict Error
Statistics:

Equation: Cards = 1.67 + 0.10 * Fouls
R : 0.24
1 D Coote 20 23.80 4.70 3.97 0.73
2 A Madley 16 23.44 2.50 3.94 -1.44
3 M Salisbury 3 23.33 4.00 3.93 0.07
4 C Pawson 26 22.15 4.27 3.81 0.46
5 G Scott 12 21.83 3.42 3.78 -0.36
6 P Tierney 27 21.59 4.19 3.76 0.43
7 S Hooper 15 21.40 3.07 3.74 -0.67
8 T Harrington 3 21.33 2.33 3.73 -1.40
9 M Oliver 26 21.19 3.35 3.72 -0.37
10 P Bankes 12 20.83 4.67 3.68 0.98
11 D England 15 20.60 4.00 3.66 0.34
12 R Jones 12 20.58 2.75 3.66 -0.91
13 J Brooks 4 20.25 5.25 3.63 1.62
14 C Kavanagh 18 20.06 4.11 3.61 0.50
15 A Taylor 28 19.57 3.96 3.56 0.40
16 K Friend 18 19.56 4.50 3.56 0.94
17 M Dean 26 19.27 3.31 3.53 -0.22
18 A Marriner 19 19.21 3.42 3.53 -0.11
19 J Gillett 9 19.00 3.67 3.51 0.16
20 S Attwell 20 18.20 3.60 3.43 0.17
21 J Moss 25 17.92 2.64 3.40 -0.76
22 M Atkinson 26 15.62 2.62 3.18 -0.56