NFL field goal kickers are often criticized for failing to make crucial field goals, but the best kickers are rarely recognized for being such. In an era of growing statistical research, field goal kicking is not widely studied to the same extent as other statistics. This project uses artificial neural networks to create difficulty ratings for NFL field goals. Using these ratings, kickers are evaluated based on a points added system as well as numerous other metrics and there are clear distinctions between most kickers. Despite popular opinion that field goal kickers are largely replaceable, this study shows just how different kickers are and how to recognize which ones are the most successful.
Cunningham-Rhoads, Kyle, "Using Mathematical Models to Evaluate NFL Field Goal Kicking" (2012). Senior Independent Study Theses. Paper 942.
Bachelor of Arts
Senior Independent Study Thesis
© Copyright 2012 Kyle Cunningham-Rhoads