Correlations

  Cards

This section looks at the relationship between a pair of variables from the game. For instance, the first item, Fouls, is measured against yellow cards for each team within that season. Is there a relationship between fouls and yellow cards and if so, how many fouls does it take on average, for a card to be a given ? And perhaps more importantly,how different is this from one team to another ?

The goals menu item above shows the relationship between turning shots on target to goals. The predicted value is key here - if it is negative then your team is not doing as well as the average, if positive then it is doing better.

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

League: Venue: Season:
Cards v Fouls
English Premier - All - 2016/2017
# Team Played Fouls Cards Predict Error
Statistics:

Equation: Cards = 0.29 + 0.15 * Fouls
R : 0.60
1 Watford 28 14.54 2.64 2.40 0.24
2 Man United 27 12.96 2.15 2.17 - 0.02
3 Crystal Palace 28 12.79 2.18 2.15 0.03
4 Middlesbrough 28 12.29 1.96 2.08 - 0.12
5 Tottenham 28 12.14 1.89 2.05 - 0.16
6 Everton 29 11.90 1.79 2.02 - 0.23
7 Leicester 28 11.89 1.86 2.02 - 0.16
8 Southampton 27 11.70 1.63 1.99 - 0.36
9 West Brom 29 11.48 1.97 1.96 0.01
10 West Ham 29 11.48 2.28 1.96 0.32
11 Sunderland 28 11.36 2.21 1.94 0.27
12 Stoke 29 11.17 2.07 1.91 0.16
13 Swansea 29 11.14 1.62 1.91 - 0.29
14 Burnley 29 11.10 1.90 1.90 - 0.00
15 Man City 28 10.39 2.29 1.80 0.49
16 Hull 29 10.34 1.83 1.79 0.04
17 Liverpool 29 10.34 1.59 1.79 - 0.20
18 Arsenal 27 10.26 1.74 1.78 - 0.04
19 Chelsea 28 10.21 1.89 1.77 0.12
20 Bournemouth 29 10.14 1.66 1.76 - 0.10