Generalized model for scores in volleyball matches

Author:

Gonzalez-Cabrera Ivan1,Herrera Diego Dario2,González Diego Luis3

Affiliation:

1. Konrad Lorenz Institute for Evolution and Cognition Research, Klosterneuburg, Austria

2. Federación Colombiana de Voleibol, Bogotá, Colombia

3. Departamento de Física, Universidad del Valle, A.A. 25360, Cali, Colombia

Abstract

AbstractWe propose a Markovian model to calculate the winning probability of a set in a volleyball match. Traditional models take into account that the scoring probability in a rally (SP) depends on whether the team starts the rally serving or receiving. The proposed model takes into account that the different rotations of a team have different SPs. The model also takes into consideration that the SP of a given rotation complex 1 (K1) depends on the players directly involved in that complex. Our results help to design general game strategies and, potentially, more efficient training routines. In particular, we used the model to study several game properties, such as the importance of having serve receivers with homogeneous performance, the effect of the players’ initial positions on score evolution, etc. Finally, the proposed model is used to diagnose the performance of the female Colombian U23 team (U23 CT).

Publisher

Walter de Gruyter GmbH

Subject

Decision Sciences (miscellaneous),Social Sciences (miscellaneous)

Reference42 articles.

1. A New Markovian Model for Tennis Matches.;Electronic Journal of Applied Statistical Analysis,2017

2. A New Markovian Model for Tennis Matches.;Electronic Journal of Applied Statistical Analysis,2017

3. The Rating of Players in Racquetball Tournaments.;Journal of the Royal Statistical Society: Series C (Applied Statistics),1987

4. Monte Carlo Tennis: A Stochastic Markov Chain Model.,2009

5. Does Effectiveness of Skill in Complex I Predict Win in Men’s Olympic Volleyball Games?,2007

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