A Recency-Weighted Monte Carlo Engine for Possession-Level Basketball Forecasting
This paper presents a modular Monte Carlo (MC) engine for retrospective forecasting experiments on historical National Basketball Association games. Instead of fitting a single discriminative winner classifier, the system estimates player event rates from one-year individual box-score histories and simulates games as s...