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Journal of Quantitative Analysis in Sports

An official journal of the American Statistical Association

Editor-in-Chief: Steve Rigdon, PhD

CiteScore 2017: 0.67

SCImago Journal Rank (SJR) 2017: 0.290
Source Normalized Impact per Paper (SNIP) 2017: 0.853

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Volume 9, Issue 1


Volume 1 (2005)

Importance of attack speed in volleyball

Gilbert W. Fellingham / Lee J. Hinkle / Iain Hunter
Published Online: 2013-03-30 | DOI: https://doi.org/10.1515/jqas-2012-0049


In this paper we examine the relationship of the speed of a set in volleyball with the outcome of the attack. A total of 1777 sets of a single male university level volleyball team were photographed using high speed cameras so that the time the set was in the air could be measured with accuracy to 1/100th of a second. Data were analyzed using a logistic regression model implemented using the Bayesian paradigm. Using these methods the probability of a kill resulting from a set of a particular speed could be calculated. In general, sets that traveled a further distance had significant increases in the probability of success with a faster set. No trends were seen with sets that were delivered to hitters that were closer to the setter. Decreasing outside set time from 1.53 to 0.85 s, significantly increased probability of a kill from 0.31 to 0.58 for the team studied. The speed of the set when the attacker is not near the setter appears to be an important component in the success of the attack in male collegiate volleyball.

Keywords: Bayca models; kill probability; logistic model; posterior probability


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About the article

Corresponding author: Gilbert W. Fellingham, Department of Statistics, Brigham Young University

Published Online: 2013-03-30

Citation Information: Journal of Quantitative Analysis in Sports, Volume 9, Issue 1, Pages 87–96, ISSN (Online) 1559-0410, ISSN (Print) 2194-6388, DOI: https://doi.org/10.1515/jqas-2012-0049.

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