Journal of Quantitative Analysis in Sports
An official journal of the American Statistical Association
Editor-in-Chief: Glickman, PhD, Mark
SCImago Journal Rank (SJR) 2014: 0.265
Source Normalized Impact per Paper (SNIP) 2014: 0.513
Impact per Publication (IPP) 2014: 0.452
Volume 11 (2015)
Volume 10 (2014)
Volume 9 (2013)
Volume 5 (2009)
Volume 1 (2005)
Most Downloaded Articles
- Creating space to shoot: quantifying spatial relative field goal efficiency in basketball by Shortridge, Ashton/ Goldsberry, Kirk and Adams, Matthew
- Predicting the draft and career success of tight ends in the National Football League by Mulholland, Jason and Jensen, Shane T.
- A generative model for predicting outcomes in college basketball by Ruiz, Francisco J. R. and Perez-Cruz, Fernando
- Building an NCAA men’s basketball predictive model and quantifying its success by Lopez, Michael J. and Matthews, Gregory J.
- openWAR: An open source system for evaluating overall player performance in major league baseball by Baumer, Benjamin S./ Jensen, Shane T. and Matthews, Gregory J.
The Dreaded Middle Seeds - Are They the Worst Seeds in the NCAA Basketball Tournament?
1University of Central Oklahoma
2University of Central Oklahoma
Citation Information: Journal of Quantitative Analysis in Sports. Volume 8, Issue 2, ISSN (Online) 1559-0410, DOI: 10.1515/1559-0410.1343, June 2012
- Published Online:
The following quote from Gregg Doyel in reference to the National Collegiate Athletic Association (NCAA) men’s basketball tournament appeared on CBSSports.com on March 21, 2009. “For teams with a realistic chance at winning multiple games in the NCAA tournament,…the worst seed to have is the No. 8 or the No. 9. That’s statistical certainty.” Is it really “statistical certainty”? This papers attempts to answer this question. Data concerning the number of games won by teams seeded 8, 9, 10, 11, and 12 were collected from the NCAA men’s and women’s tournament brackets dating back to 1985 and 1994, respectively. It was found that among all teams entering the tournament, the 10, 11, and 12 seeds do not appear to have a statistical advantage over the 8/9 seeds. However, if only teams that win their first game are considered, the 10 seeds have a significantly greater mean number of wins than the 8/9 seeds in the men’s tournament; and the 10, 11, and 12 seeds in the men’s tournament and the 11 seeds in the women’s tournament have advanced to the Sweet Sixteen (at least two wins) a significantly greater proportion of times than the 8/9 seeds.