Expected Points Above Average: A Novel NBA Player Metric Based on Bayesian Hierarchical Modeling

Fuente: arXiv
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Autori principali: Williams, Benjamin, Schliep, Erin M., Fosdick, Bailey, Elmore, Ryan
Natura: Preprint
Pubblicazione: 2024
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author Williams, Benjamin
Schliep, Erin M.
Fosdick, Bailey
Elmore, Ryan
author_facet Williams, Benjamin
Schliep, Erin M.
Fosdick, Bailey
Elmore, Ryan
contents In this paper, we propose two novel basketball metrics: ``expected points'' for team-based comparisons and ``expected points above average (EPAA)'' as a player-evaluation tool. Established within the Bayesian hierarchical model framework, teams and players are clustered based on their shooting propensities and abilities using posterior predictive distributions. We illustrate the concepts for the top 100 shot takers over the last decade and offer our metric as an additional metric for evaluating players. We compare our metrics to two traditional NBA player evaluation metrics: player efficiency rating and box plus/minus. Finally, we develop a Shiny web application that allows interested readers to make additional team and player comparisons.
format Preprint
id arxiv_https___arxiv_org_abs_2405_10453
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Expected Points Above Average: A Novel NBA Player Metric Based on Bayesian Hierarchical Modeling
Williams, Benjamin
Schliep, Erin M.
Fosdick, Bailey
Elmore, Ryan
Other Statistics
In this paper, we propose two novel basketball metrics: ``expected points'' for team-based comparisons and ``expected points above average (EPAA)'' as a player-evaluation tool. Established within the Bayesian hierarchical model framework, teams and players are clustered based on their shooting propensities and abilities using posterior predictive distributions. We illustrate the concepts for the top 100 shot takers over the last decade and offer our metric as an additional metric for evaluating players. We compare our metrics to two traditional NBA player evaluation metrics: player efficiency rating and box plus/minus. Finally, we develop a Shiny web application that allows interested readers to make additional team and player comparisons.
title Expected Points Above Average: A Novel NBA Player Metric Based on Bayesian Hierarchical Modeling
topic Other Statistics
url https://arxiv.org/abs/2405.10453