DEVELOPING MODELS TO EXPLAIN POINT SPREAD OF NCAA WOMEN’S DIVISION II BASKETBALL GAMES
DOI:
https://doi.org/10.53555/nnms.v3i6.552Keywords:
Least Squares Regression, Logistic Regression, Basketball Tournament, In-Game StatisticsAbstract
A model is developed using in-game statistics to help explain the final point spread of a Women’s Division II Basketball Tournament game. A model is also developed to estimate the probability of a team winning the game given significant in-game statistics. Both of the models are verified based on a random sample of basketball games that were not used in the development of the models. The models were then used to predict the outcomes of the 63 games played in the 2015 NCAA Division II Women’s Basketball tournament replacing the actual in-game statistics with seasonal averages of the corresponding statistics. Results are given.
References
. Abraham, Bovas, and Ledolter, Johannes (2006). Introduction to Regression Modeling. Belmont: Thomson Brooks/Cole, 2006. Print.
. Barra, Allen (2014). Is March Madness a Sporting Event—or a Gambling Event? Retrieved from http://www.theatlantic.com/entertainment/archive/2014/03/is-march-madness-a-sporting- event-or-a-gambling- event/284545 on 12/8/2015.
. Dirks, Kurt T. (2000). Trust in Leadership and Team Performance: Evidence from NCAA Basketball. Journal of Applied Psychology, 85(6): 1004-1012.
. Kubatko, Justin; Oliver,,Dean; Pelton,Kevin; and Rosenbaum, Dan T. (2007). A Starting Point for Analyzing Basketball Statistics. Journal of Quantitative Analysis in Sports, 3(3): Article 1.
. Magel, Rhonda, and Unruh, Samuel (2013). Determining Factors Influencing the Outcome of College Basketball Games. Open Journal of Statistics (http://www.scirp.org/journal/ojs).
. NCAA. 2015. 2016 Division II Women’s Basketball Championship: Pre-Championship 2015-16 Manual. Retrieved from http://www.ncaa.org/sites/default/files/201516_DIIWBB_PreChamps_20151109.pdf on 12/8/2015.
. NCAA. 2012 DII Women's Basketball Championship. Retrieved from http://fs.ncaa.org/Docs/stats/w_basketball_champs_records/2012/d2/html/confstat.htm on 12/9/2015.
. NCAA. 2013 DII Women's Basketball Championship. Retrieved from http://fs.ncaa.org/Docs/stats/w_basketball_champs_records/2013/d2/html/confstat.htm on 12/9/2015.
. NCAA. 2014 DII Women's Basketball Championship. Retrieved from http://fs.ncaa.org/Docs/stats/w_basketball_champs_records/2014/d2/html/confstat.htm on 12/9/2015.
. NCAA. 2015 DII Women's Basketball Championship. Retrieved from http://fs.ncaa.org/Docs/stats/w_basketball_champs_records/2015/d2/html/confstat.htm on 12/9/2015.
. NCAA. About NCAA Division II. Retrieved from http://www.ncaa.org/about?division=d2 on 12/8/2015. [12]. NCAA. Championships. Retrieved from http://www.ncaa.org/about/what-we-do/championships on 12/8/15. [13]. Pomeroy, K. (2014) Pomeroy’s ratings. Available: http://www.kenpom.com
. Sagarin, J. (2014). Basketball Statistics. Available: http://www.usatoday30.usatoday.com/sports/sagarin.htm. [15]. Schwertman, Neil C.; McCready,Thomas A.; and Howard, Lesley (1991). Probability Models for the NCAA Regional Basketball Tournaments. The American Statistician, 45(1): 35-38.
. Shen, Gang; Hua, Su;Zhang, Xiao; Mu, Yingfei;and Magel, Rhonda (2015). Predicting Results of March Madness Using the Probability Self-Consistent Method. International Journal of Sports Science, 2015, 5(4): 139- 144.
. Wang, Wenting, and Magel, Rhonda (2014). Predicting Winners of NCAA Women’s Basketball Tournament Games.
International Journal of Sports Science, 2014, 4(5): 173-180.
. West, B.T. (2006). A Simple and Flexible Rating Method for Predicting Success in the NCAA Basketball Tournament. Journal of Quantitative Analysis in Sports, 2, 3, p 3-8.
. West, B.T. (2008). A Simple and Flexible Rating Method for Predicting Success in the NCAA Basketball Tournament: Updated Results from 2007. Journal of Quantitative Analysis in Sports, 4, 2, p 6-8.
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