Statistical Models – what do they know? Do they know things?? Let’s find out! #1

Cognitive Football

It’s a question as old as time, or at least as old as public football analytics. How good are our prediction models?

To try and answer this question, I’ll be using the Ranked Probability Score (RPS). The RPS is a statistical method that measures the quality of predictions. It calculates how far off predictions were from the actual results, which means that a low RPS is better than a high RPS.

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The right footed left forward

This is a brief study I started working on this summer but never had time to get ready enough to publish, until now. So, here it is!

I had an idea to study if there is any significant difference in goal conversion for right footed players in the left part of the pitch in relation to left footed players shooting from the right part of the pitch. The idea would not only be that a right footed would player get more opportunities to score from the left, supported by the argument that players better can cut inwards when playing with the odd foot, but also that the angle to the goal would be somewhat better thus increasing the goal conversion. Continue reading The right footed left forward

Some thoughts on Machine Learning and Football Analytics

So, not many blog posts here recently. Basically that just has been an effect of me having too much to do at my day time job. The good news however is that I will be able to do some analytics the coming weeks at work. My cooperation with, now promoted to Allsvenskan, ÖFK has grown and I’ve managed to convince my employer to start looking at a bigger project. This will include experts in design and UI/UX, to visualize and analyze data and stats. It has a huge potential and I’m really excited. I hope there will be more to come from this on the blog the coming months! Continue reading Some thoughts on Machine Learning and Football Analytics