A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes
预测篮球回合结果的多分辨率随机过程模型
Basketball games evolve continuously in space and time as players constantly interact with their teammates, the opposing team, and the ball. However, current analyses of basketball outcomes rely on discretized summaries of the game that reduce such interactions to tallies of points, assists, and similar events. In this article, we propose a framework for using optical player tracking data to estimate, in real time, the expected number of points obtained by the end of a…