Stats for Betting
Expected goals, home/away splits, streaks and regression, fixture congestion and why head-to-head history is the most overrated page in the preview pack.
Numbers That Matter
xG for Betting: Using Expected Goals Properly
Expected goals measure chance quality, not destiny. What xG can and cannot tell a bettor, where the models disagree, and how to use it without worshipping it.
2026-08-18
Home/Away Splits: The Stat Most Punters Skip
Some teams are two different sides depending on the postcode. How to read home and away splits, the sample-size trap, and where splits genuinely move a price.
2026-08-14Context Stats
Fixture Congestion: Betting the Tired Legs Angle
Three games in eight days changes teams in measurable ways. What congestion does to pressing, late goals and rotation — and how the market prices it badly.
2026-08-11
Winning Streaks and Regression: What to Trust
Seven wins in a row feels like a pattern; usually it is a distribution of luck and schedule. How regression to the mean works and how to bet with it, not against it.
2026-08-09
Head-to-Head Stats: Why History Is Overrated
A 2019 cup tie tells you almost nothing about Sunday. Why head-to-head pages dominate previews, why the samples are noise, and the few cases where history bites.
2026-08-07