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 = 0.28 + 0.15 * Fouls
R : 0.55
1 Watford 26 14.46 2.65 2.41 0.24
2 Man United 25 13.32 2.16 2.24 - 0.08
3 Crystal Palace 26 13.00 2.31 2.20 0.11
4 Tottenham 26 12.27 1.88 2.09 - 0.21
5 Middlesbrough 26 12.12 2.00 2.07 - 0.07
6 Everton 26 12.08 1.81 2.06 - 0.25
7 West Brom 26 11.85 2.08 2.03 0.05
8 Leicester 26 11.81 1.92 2.02 - 0.10
9 Southampton 25 11.76 1.56 2.01 - 0.45
10 Swansea 26 11.62 1.62 1.99 - 0.37
11 West Ham 26 11.54 2.46 1.98 0.48
12 Sunderland 26 11.27 2.27 1.94 0.33
13 Burnley 26 11.00 1.92 1.90 0.02
14 Stoke 26 10.81 1.92 1.87 0.05
15 Man City 25 10.60 2.40 1.84 0.56
16 Liverpool 26 10.50 1.54 1.83 - 0.29
17 Chelsea 26 10.27 1.92 1.79 0.13
18 Arsenal 25 10.24 1.80 1.79 0.01
19 Hull 26 10.23 1.81 1.79 0.02
20 Bournemouth 26 9.73 1.54 1.71 - 0.17