3.8 Article

Parametric modeling and analysis of NFL run plays

Journal

JOURNAL OF SPORTS ANALYTICS
Volume 9, Issue 3, Pages 205-220

Publisher

IOS PRESS
DOI: 10.3233/JSA-220657

Keywords

Skew-t distribution; Regression model; Heavy tail; NFL

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This paper focuses on modeling run plays using data from the NFL. By utilizing a parametric regression model based on the skew-t distribution, the shifts from the overall league averages for each team in the NFL are estimated. The interpretation of the parameters allows for an investigation into the specific strategies employed by the best teams to achieve better performance based on the criterion of average yards per play.
The paper is concerned with the modeling of run plays from data obtained from the NFL. Using a parametric regression model based on the skew-t distribution we estimate the shifts from overall league averages for each team within the NFL. From the interpretation of the parameters we can investigate what the best teams are specifically doing to achieve better performance according to the criterion of average yards per play.

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