Schedule inequity in the National Basketball Association

Scheduling factors such as a visiting team playing game back-to-back against rested home can affect the win probability of teams for that and potentially unevenly throughout season. This study examines schedule inequity in National Basketball Association (NBA) seasons 2000–01 through 2018–19. By inequity, we mean effect comprehensive set factors, other than opponents, on success how much these effects differ across teams. We use logistic regression model Monte Carlo simulations to identify factor variables influence winning each (the are control variables) construct measures. evaluate measures NBA season, trends over time, potential effectiveness broad prescriptive approaches reduce inequity. find that, although equity has improved differences disproportionately Moreover, balancing frequency is more effective method mitigating reducing total frequency, combining both methods most strategy.