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Weekly Football Data Analytics round-up for May 15-21

Football Analytics Weekly Round-up

A lot happens in football analytics that doesn’t fit into our normal articles, but is worth knowing about anyway. The many incredible analysts who put their work up online should be noticed, and we’d like to point out a few pieces you may have missed on a weekly basis.

The Coaches’ Voice scout Megan Rapinoe

As one of the biggest names in women’s football, Rapinoe has been worth paying attention to for a while. She has earned her place with immense skill and drive, and as we have mentioned in an older piece, she is also an enterprise of her own. The Coaches’ Voice do one of their usual scouting reports, tracking her strengths and achievements, but for an unusually great player.

David Sumpter explains the difficulty in machines learning football

We are huge proponents of using machine learning techniques in football - our technology proves that it is possible and helpful. However, there is a larger question, which is, “can machine learning solve football”. In this academic paper, freely accessible, David Sumpter tries to answer that question.

Sezer Unar teaches machines mistakes

In another fascinating usage for machine learning, Sezer Unar looks into the effects mistakes have on games, and how a system could help identify and maybe prevent those mistakes. He examines the definition of mistakes and tries to narrow it down and make it useful.

Ben Spratt gauges Kevin DeBruyne’s improvement

Kevin DeBruyne, at this point, is one of the most cited players out there. The reason, however, is a good one: He is proof that a data-oriented approach to football can pay off incredibly well. Ben Spratt shows how, in spite of multiple injuries, DeBruyne has exceeded any expectation by improving even further.

Did we miss something? Do you see something for a later round-up? Let us know!

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