Building Simulations for Sports Betting

This chapter discusses the methods used to build simulations for sports betting, particularly focusing on basketball games. It explores the use of Bayesian and regression analysis to determine priors and weights, and the challenges in differentiating player performance using plus-minus data. The speakers also highlight the availability of detailed play-by-play and camera tracking data for more accurate predictions.