Using in-game shot trajectories to better understand defensive impact in the NBA

Journal of Sports Analytics

article

Daniel Daly-Grafstein¹  Luke Bornn¹ 

[1] Department of Statistics, Simon Fraser University

关键词: Basketball;    Rao-Blackwell theorem;    optical tracking;    variance reduction;   

DOI  :  10.3233/JSA-200400

来源: IOS Press

【 摘 要 】

As 3-point shooting in the NBA continues to increase, the importance of perimeter defense has never been greater. Perimeter defenders are often evaluated by their ability to tightly contest shots, but how exactly does contesting a jump shot cause a decrease in expected shooting percentage, and can we use this insight to better assess perimeter defender ability? In this paper we analyze over 50,000 shot trajectories from the NBA to explain why, in terms of impact on shot trajectories, shooters tend to miss more when tightly contested. We present a variety of results derived from this shot trajectory data. Additionally, pairing trajectory data with features such as defender height, distance, and contest angle, we are able to evaluate not just perimeter defenders, but also shooters’ resilience to defensive pressure. Utilizing shot trajectories and corresponding modeled shot-make probabilities, we are able to create perimeter defensive metrics that are more accurate and less variable than traditional metrics like opponent field goal percentage.

【 授权许可】

Unknown