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One of the hardest parts (and there are many) to playing Fantasy sports (specifically Fantasy Premier League) is determining the difficulty of a match. FPL includes a Fixture Difficulty Rating on a scale of 1 to 5 (1 easiest for the team you are viewing), but it is not entirely…


Last year (2019–2020) was the first time I tried Fantasy Premier League (top 20%) and Fantasy Bundesliga (top 10k ish). While, not hugely successful, it was fun and I recognize some of the mistakes I made in the first few months. I used different analytic approaches, and some worked for…


This will be a series of articles exploring the Metrica Sports Open data available here: https://github.com/metrica-sports/sample-data. This dataset includes two real association football matches using both event-based data and tracking data. The two teams are unknown (and I believe each match involves different teams), and the players are unknown. …


This will be a series of articles exploring the Metrica Sports Open data available here: https://github.com/metrica-sports/sample-data. This dataset includes two real association football matches using both event-based data and tracking data. The two teams are unknown (and I believe each match involves different teams), and the players are unknown. …


Introduction

This will be a series of articles exploring the Metrica Sports Open data available here: https://github.com/metrica-sports/sample-data. This dataset includes two real association football matches using both event-based data and tracking data. The two teams are unknown (and I believe each match involves different teams), and the players are unknown. …


Introduction

This will be a series of articles exploring the Metrica Sports Open data available here: https://github.com/metrica-sports/sample-data. This dataset includes two real association football matches using both event-based data and tracking data. The two teams are unknown (and I believe each match involves different teams), and the players are unknown. …


While, I’m relatively new to the world of football fantasy (English Premier League and Bundesliga), and have made plenty of missteps, it is a great way to work with sports data metrics. What I mean by this, is you can use the data at hand to evaluate players that you…


2020 despite everything else that happened was my year of introducing myself to the analysis of football/soccer data. It began almost exactly in the first part of the year (sometime in January and February) and ended much more broadly than it began (history and fantasy). It has become a real…


One of the most popular statistics in Football/Soccer analytics is expected goals (Xg). There are different ways to describe Xg. For one, it is the number of goals you would expect a team or player to score given where the shot came from. It can be based purely on geometry…

D. Lamb

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