Comments on: Modeling Premier League Success with Extreme Gradient Boosting /2022/04/26/dillon-wheeler/ Sat, 30 Apr 2022 01:31:11 +0000 hourly 1 https://wordpress.org/?v=6.9.4 By: Dillon Wheeler /2022/04/26/dillon-wheeler/#comment-29356 Fri, 29 Apr 2022 21:21:09 +0000 /?p=32138#comment-29356 Thanks for the questions, Brendan! Often times supporters of different teams will have positive/negative reactions to certain players being signed to the club they support based upon public perception rather than their actual skill. Maybe this model could help combat the difference between perceived player performance vs. actual performance.

To answer your second question, I would say that I was surprised at how irrelevant successful dribbles were in predicting match results. Before I made the model, I would have assumed that dribbling past a defender successfully more often would have a positive association with winning games.

]]> By: Brendan Bittner /2022/04/26/dillon-wheeler/#comment-28814 Fri, 29 Apr 2022 00:58:30 +0000 /?p=32138#comment-28814 Hi Dillon, This is a really interesting look at statistical modeling for soccer. I’m wondering, beyond clubs using this data in their team-building, what supporters and fans of the Premier League could glean from this data. Perhaps there are inefficiencies in the ways fans wager on games, etc. I’d also be interested to know what piece of data came up in your research that you found most surprising. Excellent work and congratulations!

]]>