Presenter(s)

    Maura C. Collins

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    Description

    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.

    Publication Date

    4-22-2021

    Project Designation

    Capstone Project

    Primary Advisor

    Peter W. Hovey

    Primary Advisor's Department

    Mathematics

    Keywords

    Stander Symposium project, College of Arts and Sciences

    Kill Probability in Volleyball

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