What if statisticians ran college football? A re-conceptualization of the football bowl subdivision

Jensen Jonathan A. () and Turner Brian A.
Additional contact information
Jensen Jonathan A.: Department of Human Sciences, The Ohio State University, Columbus, OH, USA
Turner Brian A.: Department of Human Sciences, The Ohio State University, Columbus, OH, USA

Journal of Quantitative Analysis in Sports, 2014, vol. 10, issue 1, 37-48

Abstract: Conference affiliation is an important consideration for institutions of higher learning, both athletically and academically. Traditionally, conference affiliation in the NCAA has been determined based largely on geography. However, recent events beg the question of what would be the result if conference affiliation, and classifications such as being a Bowl Championship Series Automatic Qualifier, were re-configured based not on traditional aspects of geography, tradition and like-mindedness, but solely on the financial and on-field performance of an institution’s football program. This paper utilizes a multivariate statistical technique (cluster analysis) to re-conceptualize conference affiliation, as well as the current Football Bowl Subdivision (FBS) hierarchy, based solely on data reflecting the performance of each FBS institution’s football programs. The analysis results in a total of 23 programs being relegated from their current status, while several programs (such as Boise State, Louisville and Rutgers) have been promoted into the highest tier of the FBS based on their performance. The paper also presents a new clustering of four “super” conferences based on this same performance data, resulting in four conferences consisting of programs with similar on-field and financial performance over the past 10 seasons.

Keywords: cluster analysis; college football; conference affiliation; financial performance (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1515/jqas-2013-0071 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:jqsprt:v:10:y:2014:i:1:p:37-48:n:4

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jqas/html

DOI: 10.1515/jqas-2013-0071

Access Statistics for this article

Journal of Quantitative Analysis in Sports is currently edited by Mark Glickman

More articles in Journal of Quantitative Analysis in Sports from De Gruyter
Bibliographic data for series maintained by Peter Golla ().