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Activity Number: 473 - For the Love of the Game: Applications of Statistics in Sports
Type: Contributed
Date/Time: Wednesday, July 31, 2019 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Sports
Abstract #307245
Title: Statistical Analysis of the 2016 Olympic Men’s Volleyball Data
Author(s): Earvin Balderama*
Companies: California State University, Fresno
Keywords: volleyball; logistic regression

In this study, we analyze detailed touch-by-touch data of every men's indoor volleyball game and match played in the 2016 Olympics. We are interested in identifying factors in offense/defense that lead to a point, whether directly or indirectly, given the defensive/offensive scheme of the opponent. We are also interested in identifying which individual player abilities lead (directly or indirectly) to overall team success. Besides learning about certain skills that directly results a winning point in a match, such as attacks and blocks, coaches are becoming more interested in the value each player brings to the team, especially those whose actions typically involve non-scoring skills. Our aim is to quantify the impact of each player on their team’s overall success. For each point, the individual contribution, in terms of the actions (or inactions), of each player to the result of the point is measured and separated. This enables us to quantify the impact of every player and position, not just those who directly score points.

Authors who are presenting talks have a * after their name.

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