Using Markov Chains in Predictive Modeling of Sports
摘要
Ranking sports teams or players can be a challenging task, and using statistics such as straight win percentage or player averages may be misleading at times. Among many mathematically inspired sports ranking systems, linear algebra methods are among the most elegant and simple. This chapter highlights several research projects which apply Markov chains in a variety of ways to predict the future results of MLB, NCAA baseball, and NHL hockey.