Rochester Institute of Technology RIT Scholar Works Articles 2013 A Statistical Data Mining Approach to Determining the Factors that Distinguish Championship Caliber Teams in the National Football League Ernest Fokoue Dan Foehrenbach Follow this and additional works at: http://scholarworks.rit.edu/article Recommended Citation Fokoue, Ernest and Foehrenbach, Dan, "A Statistical Data Mining Approach to Determining the Factors that Distinguish Championship Caliber Teams in the National Football League" (2013). Accessed from http://scholarworks.rit.edu/article/1747 This Article is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Articles by an authorized administrator of RIT Scholar Works. For more information, please contact
[email protected]. Journal of xxx xxxxx xxxxx x (xxxx) x-xx Submitted xx/xx; Published xx/xx A Statistical Data Mining Approach to Determining the Factors that Distinguish Championship Caliber Teams in the National Football League Dan Foehrenbach
[email protected] Center for Quality and Applied Statistics Rochester Institute of Technology Rochester, NY 14623, USA Ernest Fokou´e
[email protected] Center for Quality and Applied Statistics Rochester Institute of Technology Rochester, NY 14623, USA Editor: xxxxxx xxxxx Abstract This paper uses machine learning and data mining techniques to explore most of the per- formance measurements used in American football. The main goal is to determine/extract those factors that are most responsible for the success of the so-called great NFL teams. We consider a very large number of commonly used performance statistics and variables along with success indicators like winning percentage, playoff appearance, and championship wins.