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 - 2017/2018
# Team Played Fouls Cards Predict Error
Statistics:

Equation: Cards = 0.96 + 0.07 * Fouls
R : 0.24
1 Everton 23 12.70 1.87 1.81 0.06
2 Watford 23 12.09 2.00 1.77 0.23
3 West Brom 23 11.74 2.04 1.75 0.29
4 Man United 23 11.52 1.74 1.73 0.01
5 Southampton 23 11.30 1.39 1.72 -0.33
6 Crystal Palace 23 11.30 1.91 1.72 0.19
7 Newcastle 23 10.96 1.65 1.69 -0.04
8 Swansea 23 10.78 1.48 1.68 -0.20
9 Huddersfield 23 10.74 1.87 1.68 0.19
10 Brighton 23 10.65 1.35 1.67 -0.32
11 Arsenal 23 10.65 1.57 1.67 -0.10
12 Tottenham 23 10.52 1.30 1.66 -0.36
13 Chelsea 23 10.04 1.39 1.63 -0.24
14 West Ham 23 9.91 2.39 1.62 0.77
15 Stoke 23 9.74 1.22 1.61 -0.39
16 Liverpool 23 9.61 1.30 1.60 -0.30
17 Leicester 23 9.48 1.48 1.59 -0.11
18 Burnley 23 9.39 1.78 1.59 0.19
19 Man City 23 9.04 1.87 1.56 0.31
20 Bournemouth 23 8.48 1.70 1.53 0.17