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🏀 NBA

🏀 NBA Mathematical Predictions: Poisson & Efficiency Model Data-driven projections based on Offensive Rating, Defensive Rating, and Pace. Matchup Expected Score (λ) Win Prob. % Projected Spread Boston Celtics vs Miami Heat 118.5 - 106.2 82% / 18% -12.3 Denver Nuggets vs Dallas Mavs 114.2 - 112.8 54% / 46% -1.4 Golden State vs Phoenix Suns 110.5 - 115.7 38% / 62% +5.2 L.A. Lakers vs Sacramen...

The Math Behind the Swish: Finding the "Betting Percent" Edge in Today’s NBA Games

Introduction: Ditching the Gut Feeling Welcome back to the blog. If you’ve been following the NBA this season, you know that relying on narratives or "gut feelings" is the quickest way to drain your bankroll. The variance in the modern NBA—with the three-point revolution and high pace—is massive. That is why we don't guess. We calculate. Today, I’m breaking down my daily predictions using the Poisson Distribution method . We aren't just looking for who might win; we are looking for the Betting Percent (Edge) —the discrepancy between the true mathematical probability and the odds the bookmakers are offering. The Methodology: How Poisson Works in the NBA For those new to the blog, here is the quick science behind the picks. We treat basketball scores not as random chaos, but as a statistical event distribution. To get our numbers, we calculate two main metrics for every team: Attack Strength: How many points a team scores compared to the league average. Defense Streng...