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 = 1.14 + 0.12 * Fouls
R : 0.45
1 K Friend 11 26.36 4.55 4.42 0.13
2 M Jones 12 25.58 3.25 4.32 - 1.07
3 R Madley 17 25.41 4.35 4.30 0.05
4 J Moss 15 24.27 4.67 4.16 0.51
5 A Taylor 18 23.89 4.33 4.11 0.22
6 M Dean 16 23.44 4.81 4.05 0.76
7 R East 5 23.40 4.60 4.05 0.55
8 N Swarbrick 13 23.31 3.92 4.04 - 0.11
9 P Tierney 6 23.17 3.17 4.02 - 0.85
10 M Atkinson 15 22.60 3.87 3.95 - 0.08
11 M Oliver 18 22.50 3.44 3.94 - 0.49
12 G Scott 4 22.25 3.75 3.91 - 0.16
13 C Pawson 14 22.14 4.50 3.89 0.61
14 L Mason 11 21.55 4.18 3.82 0.36
15 M Clattenburg 15 20.53 3.73 3.69 0.04
16 A Marriner 15 20.13 3.40 3.64 - 0.24
17 S Attwell 5 18.40 3.20 3.43 - 0.23