Position importance in NCAA football

Journal of Sports Analytics

article

Zachary Knowlton¹  Gilbert W. Fellingham¹ 

[1] Oracle Data Cloud

关键词: Football;    Bayesian;    expected points;    hierarchical model;   

DOI  :  10.3233/JSA-170130

来源: IOS Press

【 摘 要 】

To evaluate player and position importance on the BYU football team, we used the coaches’ play-by-play grades of each player as explanatory variables, with the response of expected points gained or lost on each play. Expected points were determined using an analysis of NCAA Football Bowl Subdivision (FBS) teams play-by-play data from 2005–2013 implementing the tiered polychotomous regression model of White and Berry (2002) . We used a Bayesian hierarchical linear model with first-level parameters of player and second-level parameters of position to estimate the effect or “impact” each player had on the expected points gained or lost each play.

【 授权许可】

Unknown