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

Author:

Daly-Grafstein Daniel1,Bornn Luke1

Affiliation:

1. Department of Statistics, Simon Fraser University, Burnaby, British Columbia

Abstract

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.

Publisher

IOS Press

Reference9 articles.

1. Chang,,Y.H. , Maheswaran,,R. , Su,,J. , Kwok,,S. , Levy,,T. , Wexler,,A. and Squire,,K. 2014, ‘Quantifying Shot Quality in the NBA’, Proceedings of the 2014 MIT Sloan Sports Analytics Conference.

2. Csapo,,P. and Rabb,,M. 2014, ‘Hand down, man down. Analysis of defensive adjustments in response to the hot hand in basketball using novel defense metrics’, PLoS ONE 9(12) [online]. Available at: doi.org/10.1371/journal.pone.0114184 (Accessed 19 February 2019).

3. ‘Characterizing the spatial structure of defensive skill in professional basketball’;Franks,;Annals of Applied Statstics,2015

4. Franks,,A. , Miller,,A. , Bornn,,L. and Goldsberry,,K. 2015b, ‘Counterpoints: Advanced defensive metrics for NBA basketball’, Proceedings of the 2015 MIT Sloan Sports Analytics Conference.

5. Goldsberry,,K. and Weiss,,E. 2013, ‘The Dwight effect: A new ensemble of interior defense analytics for the NBA’, Proceedings of the 2013 MIT Sloan Sports Analytics Conference.

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