The Dreaded Middle Seeds - Are They the Worst Seeds in the NCAA Basketball Tournament?
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Tracy L. Morris
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.
©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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- The Dreaded Middle Seeds - Are They the Worst Seeds in the NCAA Basketball Tournament?
- Playing Success and Local Market Size in Spanish Football League: Can Small Cities Dream of Winning Teams?
- Comparing and Forecasting Performances in Different Events of Athletics Using a Probabilistic Model
- Robust Rankings for College Football
- Variations in Home Advantage: Evidence from the National Hockey League
- Conference Paper
- Testing the On-Court Efficacy of the NBA's Age Eligibility Rule
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Articles in the same Issue
- Article
- The Dreaded Middle Seeds - Are They the Worst Seeds in the NCAA Basketball Tournament?
- Playing Success and Local Market Size in Spanish Football League: Can Small Cities Dream of Winning Teams?
- Comparing and Forecasting Performances in Different Events of Athletics Using a Probabilistic Model
- Robust Rankings for College Football
- Variations in Home Advantage: Evidence from the National Hockey League
- Conference Paper
- Testing the On-Court Efficacy of the NBA's Age Eligibility Rule
- Using Conditional Estimates to Simulate In-Play Outcomes in Limited Overs Cricket
- Parsing the Relationship between Baserunning and Batting Abilities within Lineups
