International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2018, Vol. 3, Issue 2, Part B

Predicting NFL football games based on simulation and modeling


Author(s): Joseph Roith and Rhonda Magel

Abstract: Discriminant analysis is conducted to help determine which variables in an NFL football game are more important to the outcome. Discriminant analysis is also used to determine whether it is more productive to have a better offense or a better defense of the opposing team. A simulation technique is introduced and used to predict outcomes of NFL football games based on the three models of NFL football games developed in Roith and Magel (2017) and the discriminant analysis results derived in this research. Doing simulations with one model, we were able to predict the outcomes of 71% of the NFL football games considered correctly. Models were developed based on three years of NFL football games and predictions using simulations of these models were done for another year of NFL games.

Pages: 101-106 | Views: 514 | Downloads: 23

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How to cite this article:
Joseph Roith and Rhonda Magel. Predicting NFL football games based on simulation and modeling. International Journal of Statistics and Applied Mathematics. 2018; 3(2): 101-106.
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International Journal of Statistics and Applied Mathematics