Email this article Is There a Bye Week Advantage in College Football?
Abstract
During the 2010 college football season, the University of Alabama football team faced six consecutive Southeastern Conference (SEC) opponents who had byes, a week off from competition, before their match-up with Alabama. Journalists speculated that these opponents would have an advantage due to the extra time for preparation, rest and recovery. After the season, the SEC responded by passing a new rule limiting teams to three conference opponents coming off bye weeks. Was this rule change necessary? If there is a bye week advantage, what is its estimated magnitude? This paper presents an exploratory analysis of data from the 2010 college football season. A linear model is used to estimate ratings of team strength for each FBS (Football Bowl Subdivision) college football team as well as the magnitude of the home field advantage. The model is modified to estimate the magnitude of the bye week advantage under several scenarios. All of the scenarios considered agree that the bye week advantage is actually a “myth.”
References
Everson, D. (2010). The myth of the bye week advantage. The Wall Street Journal.
http://online.wsj.com/article/SB10001424052748703673604575550133637891028.html.
Gill, R. and Keating, J. (2009). Assessing methods for college football rankings. Journal of Quantitative Analysis in Sports, 5(2).
Harville, D. (1977). The use of linear-model methodology to rate high school or college football teams. Journal of the American Statistical Association, 72(358):278-289.
Harville, D. A. (2003). The selection or seeding of college basketball or football teams for postseason competition. Journal of the American Statistical Association, 98(461):17-27.
Howell, J. (2010). James Howell's college football scores. Retrieved from http://homepages.cae.wisc.edu/dwilson/rsfc/history/howell/.
R Core Ream (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
Stefani, R. and Pollard, R. (2007). Football rating systems for top-level competition: A critical survey. Journal of Quantitative Analysis in Sports, 3(3).
van den Hout, J., Davis, O., and Walrave, B. (2016). The application of team flow theory. In Harmat, L., Orsted Anderson, F., Ulln, F., Wright, J., and Sadlo, G., editors, Flow Experience: Empirical Research and Applications, chapter 15, pages 233-247. Springer.
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