Literature DB >> 23222090

Which skills and factors better predict winning and losing in high-level men's volleyball?

Javier Peña1, Jorge Rodríguez-Guerra, Bernat Buscà, Núria Serra.   

Abstract

The aim of this study was to determine which skills and factors better predicted the outcomes of regular season volleyball matches in the Spanish "Superliga" and were significant for obtaining positive results in the game. The study sample consisted of 125 matches played during the 2010-11 Spanish men's first division volleyball championship. Matches were played by 12 teams composed of 148 players from 17 different nations from October 2010 to March 2011. The variables analyzed were the result of the game, team category, home/away court factors, points obtained in the break point phase, number of service errors, number of service aces, number of reception errors, percentage of positive receptions, percentage of perfect receptions, reception efficiency, number of attack errors, number of blocked attacks, attack points, percentage of attack points, attack efficiency, and number of blocks performed by both teams participating in the match. The results showed that the variables of team category, points obtained in the break point phase, number of reception errors, and number of blocked attacks by the opponent were significant predictors of winning or losing the matches. Odds ratios indicated that the odds of winning a volleyball match were 6.7 times greater for the teams belonging to higher rankings and that every additional point in Complex II increased the odds of winning a match by 1.5 times. Every reception and blocked ball error decreased the possibility of winning by 0.6 and 0.7 times, respectively.

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Mesh:

Year:  2013        PMID: 23222090     DOI: 10.1519/JSC.0b013e31827f4dbe

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  7 in total

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Authors:  Damian Pawlik; Wioletta Dziubek; Łukasz Rogowski; Artur Struzik; Andrzej Rokita
Journal:  Appl Bionics Biomech       Date:  2022-06-01       Impact factor: 1.664

2.  Internal and External Load Control in Team Sports through a Multivariable Model.

Authors:  Aitor Piedra; Toni Caparrós; Jordi Vicens-Bordas; Javier Peña
Journal:  J Sports Sci Med       Date:  2021-10-01       Impact factor: 2.988

3.  Predicting Volleyball Serve-Reception.

Authors:  Ana Paulo; Frank T J M Zaal; Sofia Fonseca; Duarte Araújo
Journal:  Front Psychol       Date:  2016-11-02

4.  Game-Related Performance Factors in four European Men's Professional Volleyball Championships.

Authors:  Javier Peña; Martí Casals
Journal:  J Hum Kinet       Date:  2016-10-14       Impact factor: 2.193

5.  The Influence of Individual Set-Pieces in Elite Rink Hockey Match Outcomes.

Authors:  Jordi Arboix-Alió; Guillem Trabal; Raúl Hileno; Joan Aguilera-Castells; Azahara Fort-Vanmeerhaeghe; Bernat Buscà
Journal:  Int J Environ Res Public Health       Date:  2021-11-24       Impact factor: 3.390

6.  Attack Coverage in High-Level Men's Volleyball: Organization on the Edge of Chaos?

Authors:  Lorenzo Laporta; Pantelis Nikolaidis; Luke Thomas; José Afonso
Journal:  J Hum Kinet       Date:  2015-10-14       Impact factor: 2.193

7.  Ability to Predict Side-Out Performance by the Setter's Action Range with First Tempo Availability in Top European Male and Female Teams.

Authors:  Antonio Millán-Sánchez; Manuel J Parra-Royón; José M Benítez; Aurelio Ureña Espa
Journal:  Int J Environ Res Public Health       Date:  2020-08-31       Impact factor: 3.390

  7 in total

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