Manchester United added another entry to the long list of frustrating draws under Ole Gunnar Solskjaer with an uninspiring stalemate against Southampton. After a match in which United showed a […]
Read MoreMy Euro 2020 work consisted of a series of Tableau visualizations, a lot of Python code, and a set of pages on this site. This post gives links to all […]
Read MorePoints Awarded Thus Far The following criteria is used to establish the current points standings to date, with points total for each included in brackets: Italy: 1st in Group A […]
Read MoreHere’s how each of the 173 users predicted each group in the tournament. Belgium were the most popular group winners, but Spain were the most favoured side overall in the […]
Read MoreEvery two years or so, a major international footballing tournament rolls around, and I create a bracket for family and friends to state their predictions and compete against each other. […]
Read MoreRecently on Twitter, I have seen many people trying to use K-Means Clustering as a method of trying to extract insights about player passing data. I decided to try and […]
Read More“I’m really unconvinced by Mason Greenwood long term” was my half-time tweet during Manchester United’s 2-1 win over Brighton & Hove Albion last weekend. The timing of the tweet looked […]
Read MoreThis weekend, I made an interactive dashboard in Tableau that presents a 10 game rolling average of @fbref‘s xG trends in the Premier League from 17/18-present. The dashboard allows you […]
Read MoreThe following thread was the result of hours of watching Spanish left-back Sergio Reguilon play for Sevilla and comparing him to Manchester United’s equivalent players. The thread reached an audience […]
Read MoreView the source code for this project on GitHub I find the hardest part of analyzing the performance of non-forwards in football is finding a starting point. With forwards, it […]
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