http://ephjournal.com/index.php/ms/issue/feed EPH - International Journal of Mathematics and Statistics (ISSN: 2208-2212) 2017-12-31T09:53:36+00:00 Naeem Akhtar chief-editor@ephjournal.com Open Journal Systems http://ephjournal.com/index.php/ms/article/view/375 Modeling NFL Football Outcomes 2017-12-31T09:53:36+00:00 Rhonda C Magel rhonda.magel@ndsu.edu Joseph Roith jmroith@stkate.edu <p>Three modeling techniques were used to develop models that explain the outcomes of NFL football games.&nbsp; The modeling techniques applied included ordinary least square regression, logistic regression, and proportional odds.&nbsp; Two seasons of NFL football games were used as the training data set and one season of NFL football games was used as the testing data set.&nbsp; The OLS model developed explained approximately 83% of the variation in the point spread of a football game.&nbsp; The logistic regression model developed estimates the probability of the home football team winning given the differences of significant in-game statistics. The proportional odds model estimates the probability of a home team winning the game by 10 or more points or less than 10 points, or losing the game by these same amounts given differences of in-game statistics found to be significant. The models all did well under the testing data set.&nbsp;</p> <p>&nbsp;</p> 2017-12-31T09:53:18+00:00 ##submission.copyrightStatement##