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 = 0.41 + 0.14 * Fouls
R : 0.51
1 Watford 21 14.43 2.67 2.43 0.24
2 Man United 21 13.19 2.29 2.25 0.04
3 Crystal Palace 21 12.86 2.24 2.21 0.03
4 Tottenham 21 12.67 1.81 2.18 - 0.37
5 Middlesbrough 21 12.19 2.10 2.11 - 0.01
6 Leicester 21 12.14 2.14 2.11 0.03
7 Everton 21 12.10 2.05 2.10 - 0.05
8 Swansea 21 11.95 1.48 2.08 - 0.60
9 West Brom 21 11.81 2.19 2.06 0.13
10 Southampton 21 11.48 1.86 2.01 - 0.15
11 West Ham 21 11.38 2.48 2.00 0.48
12 Sunderland 21 11.24 2.38 1.98 0.40
13 Burnley 21 11.24 1.81 1.98 - 0.17
14 Liverpool 21 10.57 1.57 1.89 - 0.32
15 Man City 21 10.52 2.38 1.88 0.50
16 Bournemouth 21 10.29 1.71 1.85 - 0.14
17 Hull 21 10.19 1.62 1.83 - 0.21
18 Arsenal 21 10.10 1.67 1.82 - 0.15
19 Chelsea 21 10.05 2.10 1.81 0.29
20 Stoke 21 10.05 1.86 1.81 0.05