Extra Point Under Review: Machine Learning And The NFL Field Goal

Authors

  • James LeDoux Boston College

DOI:

https://doi.org/10.6017/eurj.v12i2.9448

Keywords:

Statistics, Machine Learning, Field Goal, NFL, Econometrics

Abstract

The new NFL extra point rule first implemented in the 2015 season requires a kicker to attempt his extra point with the ball snapped from the 15-yard line. This attempt stretches an extra point to the equivalent of a 32-yard field goal attempt, 13 yards longer than under the previous rule. Though a 32-yard attempt is still a chip shot to any professional kicker, many NFL analysts were surprised to see the number of extra points that were missed. Should this really have been a surprise, though? Beginning with a replication of a study by Clark et. al, this study aims to explore the world of NFL kicking from a statistical perspective, applying econometric and machine learning models to display a deeper perspective on what exactly makes some field goal attempts more difficult than others. Ultimately, the goal is to go beyond the previous research on this topic, providing an improved predictive model of field goal success and a better metric for evaluating placekicker ability.

Author Biography

James LeDoux, Boston College

James is a senior majoring in Economics with a minor in Computer Science in the Morrissey College of Arts and Sciences. His academic interests include statistical modeling, machine learning, and distributed computing. His background in research includes an Undergraduate Research Fellowship in the Department of Economics at Boston College and a series of independent projects, such as that displayed in this article. Professionally, he has spent time in technology and finance, serving as a data analyst at Unum Insurance as well as a support specialist at Google. He will continue his research during the 2016-17 academic year by writing a senior economics thesis under the guidance of Professor Chris Maxwell.

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Published

2016-11-13

How to Cite

LeDoux, J. (2016). Extra Point Under Review: Machine Learning And The NFL Field Goal. Elements, 12(2). https://doi.org/10.6017/eurj.v12i2.9448

Issue

Section

Articles