CS2 Player Props: A Data-First Betting Guide
CS2 player props explained: map 1 kills, maps 1-2 lines, headshots and how to research them with real hit-rate data. 21+, variance included.
hit rates
MLB Batter Strikeout Props: A Betting Guide
How to bet MLB batter strikeout props: whiff rates, pitcher matchups, price traps and real StatsBench hit-rate data from an August 2026 slate.
Bench Stats in Betting: Reading Backup Roles
How to use bench stats to price backup player props: minutes, usage, blowout risk and real StatsBench hit-rate examples. 21+, long-run variance applies.
CS2 Stats That Actually Matter for Betting
Which CS2 stats actually help you bet map kills and headshots? A data-first guide to reading rating, ADR, KAST and map-1 prop lines. 21+.
Normal Distribution in Player Props
A normal distribution calculator can price some player props and badly misprice others. Here is when the bell curve works, with real StatsBench data.
Variance in Betting: Why Good Bets Lose
Variance in betting explained: how to tell a bad bet from a good bet that lost, plus the math behind swings in prop hit rates. 21+.
What Are Bench Bets? Backup Props Explained
Bench bets explained: what wagering on backups and reserves means, why bench player props get mispriced, and how to research them with real data.
League of Legends Betting: A Data Guide
League of Legends betting explained: markets, map 1 kills props, hit rates, line shopping and how to find real edges. Research-first, 21+.
Distribution in Betting: Why Averages Lie
What “distribution” means in betting: how a player’s spread of outcomes, not the average, decides prop value. Read shape, tails and hit rates. 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.