Statistics Cheat Sheet for Bettors (2026)
A statistics cheat sheet for bettors: implied probability, the vig, sample size, expected value and Kelly staking, with every formula.
betting statistics
Correlational Research: A Prop Bettor’s Guide
Correlational research shows when two stats move together. Here’s how prop bettors use it to spot fake trends, price parlays and avoid bad bets.
Longitudinal vs Cross-Sectional Bet Research
Longitudinal vs cross-sectional research, explained for prop bettors: when a player’s game log beats a one-slate snapshot, with real StatsBench data.
Which Situation Involves Descriptive Statistics?
Which situation involves descriptive statistics vs inferential? A clear, bettor-friendly breakdown with real prop data, plus how to use each one. 21+.
Sample Size in Betting: How Much Is Enough?
Sample size in betting decides if a prop hit rate means anything. Learn why 6 of 10 is noise, how many games you need, and how to read hit rates honestly.
Extrapolation Explained for Sports Bettors
What does extrapolation mean, and how do bettors use it on player props? A plain-English guide to projecting stats forward without fooling yourself.
Regression to the Mean: A Bettor’s Guide
Regressors meaning in betting: what regression to the mean is, why hot streaks fade, and how to use it to spot value in player props.
Betting Statistics 101: What They Actually Mean (And How to Use Them)
Betting statistics only help if you know what they measure. Here’s a plain-English guide to hit rates, samples, and how to read them like a bettor.