Using machine learning models to predict win rate of NBA teams

NBA is the biggest sports organizations, the behavior of teams and the players in the teams have a big influence on the economic developments. When selecting different players for the team, the coach needs to consider about the data and the thorough behavior of players. Big data and machine learning provide this question a more precise and proper solutions. In this paper, a forecasting method of player’s influence on team’s winning rate based on technical statistics of players. Experiment shows that the proposed method is effective.