Methods
The Possession Trap: When 62 Percent of the Ball Means Less Than You Think
Possession sounds like control until the team with 38 percent gets the three best chances and walks away laughing.
SportsHighLight · Author
Jess Tanaka
Jess Tanaka is the SportsHighLight soccer analytics byline for xG, finishing noise, and the distance between the model and the manager quote. The byline focuses on public football data sources, match context, and plain-language explanations of probabilistic metrics.
Soccer
Beyond xG: The Quiet Rise of Possession Value Models in Football Analytics
Possession value models — what they measure, how they extend xG, where they break, and how to read them in a match report without...
Soccer
The Leicester Problem: Expected Goals, Honestly Explained
Expected goals (xG) in soccer, written by someone who is tired of seeing the metric weaponised. What the model measures, where it breaks, and...
Soccer
Set-Piece Analytics: Why Corners and Free Kicks Are More Underrated Than You Think
Set-piece analytics — what they measure, why they matter so much more than mainstream coverage suggests, where they break, and how to read them...
Soccer
Goalkeeping Beyond Saves: Expected Goals on Target, Explained
Goalkeeping beyond saves — what post-shot xG actually measures, how the modern goalkeeping toolkit works, where the math breaks, and how to read a...
Soccer
Bayer Leverkusen’s Unbeaten Season: Bayesian Skepticism in Football
Bayesian skepticism in football — what it means, how it applies to extraordinary seasons like Leverkusen's unbeaten run, where the framework breaks, and how...