Economics at your fingertips  

The Predictive Power of College Football Spreads: Regular Season Versus Bowl Games

Justin Cox, Adam L. Schwartz, Bonnie F. Van Ness and Robert A. Van Ness

Journal of Sports Economics, 2021, vol. 22, issue 3, 251-273

Abstract: This paper compares the predictive accuracy and efficiency of college football point spreads for regular and bowl games. We find that the betting line spread is more accurate as a predictor of the eventual winner for college football games during the regular season than for the bowl games. Although the betting market is mostly efficient with regard to the favorite covering the spread, we do find several inefficiencies in the betting market for regular and bowl games within transaction costs. Specifically, we find the betting market to be an inefficient processor of momentum effects, particularly negative momentum.

Keywords: college football; spreads; betting (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (text/html)

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:

DOI: 10.1177/1527002520975837

Access Statistics for this article

More articles in Journal of Sports Economics
Bibliographic data for series maintained by SAGE Publications ().

Page updated 2022-01-01
Handle: RePEc:sae:jospec:v:22:y:2021:i:3:p:251-273