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 - 2016/2017
# Team Played Fouls Cards Predict Error
Statistics:

Equation: Cards = 0.68 + 0.14 * Fouls
R : 0.46
1 R Madley 22 25.50 4.14 4.16 - 0.03
2 M Jones 15 25.40 3.27 4.15 - 0.88
3 C Pawson 19 24.53 4.21 4.03 0.18
4 K Friend 16 24.44 4.63 4.02 0.61
5 J Moss 21 24.38 4.57 4.01 0.56
6 R East 7 24.29 3.71 4.00 - 0.28
7 A Taylor 23 24.13 4.52 3.98 0.55
8 M Dean 21 22.67 4.24 3.78 0.46
9 G Scott 6 22.67 3.33 3.78 - 0.44
10 P Tierney 8 22.63 3.00 3.77 - 0.77
11 N Swarbrick 18 22.17 3.83 3.71 0.13
12 M Atkinson 21 22.14 3.52 3.70 - 0.18
13 M Oliver 24 21.79 3.50 3.66 - 0.16
14 L Mason 14 21.57 3.86 3.63 0.23
15 M Clattenburg 20 20.55 3.60 3.49 0.11
16 S Attwell 7 20.43 3.00 3.47 - 0.47
17 A Marriner 21 20.10 3.81 3.42 0.38