Author(s): Wenting Wang and Rhonda Magel

Abstract: Models were developed using seasonal averages, and ranks of seasonal averages, to predict winners of the various rounds of the NCAA Division 1 Women’s Volleyball tournament. Data used to develop these models was collected during 2011-2013. These models were used to predict winners of the 2015 tournament matches and the overall winner. A match statistic model was also developed using data from actual matches played in the NCAA Women’s Tournament in 2015. The match statistic model was used to predict winners of the matches in the 2016 tournament and the overall winner. It was found that models based on using seasonal averages performed better at predicting the winners of the matches and then the overall tournament than the models developed using match statistics replacing match statistics with seasonal averages of the corresponding statistics. Results are given.

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