MODELING NFL FOOTBALL OUTCOMES
DOI:
https://doi.org/10.53555/eijms.v3i2.12Keywords:
FootballAbstract
The purpose of this research is to develop models for NFL football games which help identify the important factors in determining the outcome of the game. A variety of different methods will be used in developing these models: ordinary least squares regression, logistic regression, and proportional odds. Models will be used to explain an outcome and they will also be used to help predict an outcome based on differences of certain in-game statistics.
Values from thirty-five in-game statistics for both teams playing in each game were collected for 752 NFL games over the three seasons between the years 2011 and 2014. Data from the first two seasons in this time period were used to develop the models and data from the last season was used to test the models. Data from these games was found on the websites, NFL Scores and Pro Football [1] and [2].
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