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Some Sunday evening stat-muck for those interested in such things, courtesy of experimental361.com...

 

Shot dominance

First of all, here is how the number of shots taken by each club compares with those they face in return. The average number of shots taken per match is on the horizontal and the average number faced is on the vertical, so bottom right (take plenty, allow few in return) is good while top left (take few, allow plenty) is bad. The stripes are like contours: the greener the stripe, the better the performance (and vice versa for red).

 

375576657_Shotdominance.png.337794b5a87d4927843dec9e1fdeed97.png

 

Attacking effectiveness

Now let’s look at attacking alone. The horizontal axis stays the same as in the graphic above, but now the vertical shows the average number of shots needed to score each league goal. Therefore bottom right is good (taking lots of shots and needing fewer efforts to convert) and top left is bad:

 

1634874458_AttackEffect.png.a6fe48ceb844fc4543eb62cabdc8b167.png

 

Defensive effectiveness

Next let’s look at the defensive situation – basically take the above chart and replace the word “taken” for “faced” on both axes. Now top left is good – facing fewer shots and able to soak up more per goal conceded – and bottom right is bad:

 

1202686824_DefenceEffect.png.88ef50ff79870e9fef88da1776335e3d.png

 

Expected goals

Finally here’s an attempt at correcting the first graphic for the quality of chances created and allowed, using the same “expected goals” values that power my shot timelines (explained here). The reason for doing this is that the results tend to correlate more strongly with performance than when we treat all shots equally:

 

XG.png.ee10cc93e8499c52586bba84b42de900.png

 

Enjoy!

 

Numbers.gif.68fa55f287d0df479fbe5de3f52e6185.gif

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29 minutes ago, Inspector Lestrade said:

So the best teams are in the best box and the worse teams are in the worst box.

 

 

If only there was a way to show this in a league format, like a table.

 

Maybe

It does like quite uniform in Lge one this year, however historically this has been a really useful guide to see which teams are over or under performing in terms of results compared to performances.

 

Nearly always, results gravitate towards performances in the end.

 

I’d say Plymouth and Cambridge are both doing better than their performances perhaps merit.

 

Ipswich & Bolton look like they’ve got room for improvement in them.

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Interesting, thanks.

 

Expected Goal Difference is usually a decent predictor. The last chart shows Rotherham then Wigan have the best xgd, followed by Oxford, then us and Wycombe in joint 4th, then Ipswich in 6th just ahead of MK Dons and Sunderland in joint 7th.

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