An Analysis of NBA Spatio-Temporal Data

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Mukherjee, Sayan

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Robertson, Megan

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2017-08-16T18:26:11Z

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2017-08-16T18:26:11Z

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2017

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Statistical Science

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This project examines the utility of spatio-temporal tracking data from professional basketball games by fitting models predicting whether a player will make a shot. The first part of the project involved the exploration of the data, evaluated its issues, and generated features to use as co-variates in the models. The second part fit various classification models and evaluated their predictive performance. The paper concludes with a discussion of methods to improve the models and future work.

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https://hdl.handle.net/10161/15261

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Statistics

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Sports management

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NBA

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player tracking

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statistical modeling

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An Analysis of NBA Spatio-Temporal Data

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Master's thesis

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