Welcome
Issue One Hundred And Seventy Nine.
Might move to Substack soon. If there's a breakage, that'll be why.
This week, we have a breakdown of Big 10 teams using YPP, an explainer on Statsbomb’s advanced xG model, a study on xGOT’s role in elite soccer, an analysis of Myles Garrett’s trade value using ELO ratings, and an examination of long ball effectiveness in the Premier League. Each provides unique insights into performance metrics and strategic decision-making in football and soccer.
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This Week's Lineup
2024 Yards Per Play: Big 10
A deep dive into the Big 10’s 2024 season, analyzing team performance through YPP metrics, unexpected results, and historic championship game losses.
What is xG? Expected goals model explained [video]
Video how Hudl Statsbomb's xG model uses more contextual events and better quality data than any other provider to accurately measure the quality of chance and why it's the best in the industry.
An Expected Goals on Target (xGOT) Metric as a New Metric for Analyzing Elite Soccer Player Performance
This study analyzes the effectiveness of the expected goals on target (xGOT) metric as a key indicator of team performance in Spain’s professional men’s and women’s football leagues.
Which Teams Would Benefit Most From a Myles Garrett Trade?
Myles Garrett has requested a trade, and this analysis examines his elite pass-rushing ability using ELO ratings while ranking the NFL teams that would gain the most from acquiring him.
What’s Long Got To Do With It?
Long ball effectiveness varies—Liverpool and Arsenal excel with smart execution, while Everton struggles despite frequent use. Success depends on quality, not quantity.
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Unexpected Points Added is curated and maintained by Patrick Hayes.
I completed a Master of Applied Data Science from the University of Michigan; let's connect.
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