D. LambFantasy Analytics — Fixture DifficultyOne of the hardest parts (and there are many) to playing Fantasy sports (specifically Fantasy Premier League) is determining the…Aug 18, 2021Aug 18, 2021
D. LambOptimized FantasyLast year (2019–2020) was the first time I tried Fantasy Premier League (top 20%) and Fantasy Bundesliga (top 10k ish). While, not hugely…Jul 22, 2021Jul 22, 2021
D. LambExploring Event and Tracking Data using Metrica Sports Open Data Part IV-> Average Positions…AverageMar 30, 2021Mar 30, 2021
D. LambExploring Event and Tracking Data using Metrica Sports Open Data Part III -> Average PositionsThis will be a series of articles exploring the Metrica Sports Open data available here: https://github.com/metrica-sports/sample-data…Mar 22, 2021Mar 22, 2021
D. LambExploring Event and Tracking Data using Metrica Sports Open Data Part II -> Social Network AnalysisIntroductionMar 11, 2021Mar 11, 2021
D. LambExploring Event and Tracking Data using Metrica Sports Open Data Part IIntroductionMar 9, 2021Mar 9, 2021
D. LambVisual analysis for Fantasy SportsWhile, I’m relatively new to the world of football fantasy (English Premier League and Bundesliga), and have made plenty of missteps, it…Feb 1, 2021Feb 1, 2021
D. LambMy 2020 Year in Football Analytics2020 despite everything else that happened was my year of introducing myself to the analysis of football/soccer data. It began almost…Dec 29, 2020Dec 29, 2020
D. LambEntropy to Understand Luck in the Premier LeagueOne of the most popular statistics in Football/Soccer analytics is expected goals (Xg). There are different ways to describe Xg. For one…Dec 16, 2020Dec 16, 2020
