Insights, research, and analysis on football analytics
Expected goals are one of the hot topics in the football analytics community at the moment and it’s a topic I’ve previously written a number of articles on discussing how to calculate them. If you haven’t read those pieces yet it’s probably worth taking a quick look to set the...
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I’ve not posted an update on the Pythagorean for the English Premier League (EPL) for a while so the latest figures are below.
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When I introduced my Expected Goals model a few weeks back a number of people commented on the bump in the curve where I had included penalty shots in the data set used to fit the model...
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Since my last post about how to calculate expected goals one question has come up more than any other and that is about the correlation between expected goals and actual goals..
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It seems that everybody has their own expected goals models for football nowadays but they all seem to be top secret and all appear to give different results so I thought I post a quick example of one technique here to try and stimulate a bit of chat about the best way to model them.
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As there were a couple of presentations at the recent Opta Pro Forum talking about identifying player similarities I thought I’d give a quick example of how to do something similar using k-means cluster analysis.
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Welome back! Now that I'm no longer part of Onside Analysis I'm free to start blogging again so let's start off by taking a look at how my football Pythagorean is doing for the English Premier League so far this season.
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With the UEFA Champions League group stage now underway I took a look at what it typically takes for teams to reach the final.
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The amount of football data available is growing rapidly – with every passing week of the season more matches are played and even more data gets collected. This is great as it allows us to increase our understanding of the game but it also means we quickly end up with more inf...
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You may have noticed that my blogging has slowed down over the past few weeks and the reason is that I have joined Onside Analysis as a computational statistician.
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