Maura C. Collins
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This project aims to predict the probability of a kill on left-side and right-side attacks in volleyball. Specifically, it looks at the type of attack, which accounts for it being either a left-side vs a right-side attack and whether it was a fast tempo or a slower tempo set, the grade of the pass for this play, and whether this attack was on a first-ball play or in the transition of a rally. A logistic regression model was used to To look at the relationship of these variables. Using the p-value, it was found that attack type and whether it was a first-ball or transition play were the significant variables for this model.
Peter W. Hovey
Primary Advisor's Department
Stander Symposium Posters, College of Arts and Sciences
"Kill Probability in Volleyball" (2021). Stander Symposium Projects. 2220.