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Dissecting Fred’s Contributions in Possession against Southampton
Manchester United added another entry to the long list of frustrating draws under Ole Gunnar Solskjaer with an uninspiring stalemate
All My Euro 2020 Work in One Post
My Euro 2020 work consisted of a series of Tableau visualizations, a lot of Python code, and a set of
Euro 2020 Bracket Standings
Points Awarded Thus Far The following criteria is used to establish the current points standings to date, with points total
Euro 2020 Bracket: Breaking down 173 user predictions using Tableau Visualizations
Here's how each of the 173 users predicted each group in the tournament. Belgium were the most popular group winners,
Instructions to Complete your Euro 2020 Bracket
Every two years or so, a major international footballing tournament rolls around, and I create a bracket for family and
Using K-Means Clustering to Model Progressive Passing Data in Football
Recently on Twitter, I have seen many people trying to use K-Means Clustering as a method of trying to extract
Explaining Mason Greenwood’s struggle for consistent end product this season
"I'm really unconvinced by Mason Greenwood long term" was my half-time tweet during Manchester United's 2-1 win over Brighton &
Tableau Dashboard: Rolling xG Trends of Premier League Teams, 17/18-20/21
This weekend, I made an interactive dashboard in Tableau that presents a 10 game rolling average of @fbref's xG trends
Python Data Visualization and Video Article: Why Manchester United should not allow Sergio Reguilon to join Spurs so easily
The following thread was the result of hours of watching Spanish left-back Sergio Reguilon play for Sevilla and comparing him
Data Visualization: Creating Percentile Polar Axis Charts in Python
View the source code for this project on GitHub I find the hardest part of analyzing the performance of non-forwards