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Volleyball has become a competitive sport with high physical and technicalperformance. Matches results are based on the players and teams'skills astechnical and tactical strategies to succeed in a championship. At this point,some studies are carried out on the performance analysis of different matchelements, contributing to the development of this sport. In this paper, weproposed a new approach to analyze volleyball data. The study is based on thecompositional data methodology modeling in regression model. The parameters areobtained through the maximum likelihood. We performed a simulation study toevaluate the estimation procedure in compositional regression model and weillustrated the proposed methodology considering real data set of volleyball.

Analyzing Volleyball Data on a Compositional Regression Model Approach: An Application to the Brazilian Men's Volleyball Super League 2011/2012 Data