Beach volleyball set and technical performance indicators for elite women’s teams

  1. George Giatsis 1
  2. Afroditi Lola 1
  3. Sotirios Drikos 2
  4. Ana Belén López-Martínez 3
  5. José Antonio Perez-Turpin 4
  1. 1 Aristotle University of Thessaloniki
    info

    Aristotle University of Thessaloniki

    Salónica, Grecia

    ROR https://ror.org/02j61yw88

  2. 2 National and Kapodistrian University of Athens
    info

    National and Kapodistrian University of Athens

    Atenas, Grecia

    ROR https://ror.org/04gnjpq42

  3. 3 Universidad Católica San Antonio
    info

    Universidad Católica San Antonio

    Murcia, España

    ROR https://ror.org/05b1rsv17

  4. 4 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

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Revista:
Journal of Human Sport and Exercise: JHSE

ISSN: 1988-5202

Año de publicación: 2023

Volumen: 18

Número: 3

Páginas: 622-639

Tipo: Artículo

DOI: 10.14198/JHSE.2023.183.10 DIALNET GOOGLE SCHOLAR lock_openRUA editor

Otras publicaciones en: Journal of Human Sport and Exercise: JHSE

Objetivos de desarrollo sostenible

Resumen

This study aimed to investigate the beach volleyball set and technical performance indicators that best discriminate between winning and losing elite women’s teams in set according to the final score differences of the set. The data have been collected from all sets played (N = 236) in the women’s beach volleyball 2022 World Championship. Cluster analysis established two types of 21 points sets (S-21): balanced (S-21B) with a difference from 2-5 points and unbalanced (S-21U) with a difference >5 points. A discriminant function analysis indicated which skill(s) significantly contribute to winning in each type of set. The results of this study revealed that the teams that won S-21B, S-21U and S-15 had better performance than their opponents in set indicators (attack, block, serve, opponent errors) and technical indicators (attack kill percent, attack efficiency, and serve efficiency). Attack points and attack kill percent were the most important predictors of a team's success in terms of set and technical indicators, respectively. In summary, the attack kill percent is the most important indicator in elite women’s beach volleyball in every type of set. However, serve aces per set point significantly increases the probability of winning a set in every type of 21-point set, while block per set points contributes equally significantly in 15-point sets. Despite the high level of blocking, women's teams must avoid attack errors to improve their chances of winning a set. The study’s findings highlight the importance of the offensive ability to win a set, in women’s elite beach volleyball.

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