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 = 0.93 + 0.13 * Fouls
R : 0.47
1 R Madley 25 25.80 4.24 4.16 0.08
2 M Jones 16 25.38 3.31 4.11 - 0.80
3 C Pawson 21 25.05 4.43 4.07 0.36
4 R East 8 24.63 3.63 4.01 - 0.39
5 K Friend 18 24.44 4.72 3.99 0.73
6 A Taylor 26 24.35 4.35 3.98 0.37
7 C Kavanagh 1 24.00 4.00 3.94 0.06
8 J Moss 25 23.48 4.20 3.87 0.33
9 G Scott 7 23.00 3.00 3.81 - 0.81
10 P Tierney 9 22.89 3.44 3.80 - 0.35
11 M Dean 25 22.88 4.12 3.80 0.32
12 N Swarbrick 20 22.20 3.95 3.71 0.24
13 M Atkinson 23 21.83 3.52 3.66 - 0.14
14 M Oliver 27 21.74 3.30 3.65 - 0.36
15 L Mason 17 21.18 3.59 3.58 0.01
16 M Clattenburg 21 20.95 3.52 3.55 - 0.03
17 A Marriner 24 20.29 3.88 3.47 0.40
18 L Probert 1 20.00 4.00 3.44 0.56
19 S Attwell 9 19.44 2.78 3.37 - 0.59