Quantification of the competition load of the sets in high-level volleyball in the year 2021

  1. EDUARDO LÓPEZ MARTÍNEZ 1
  2. GEMMA MARÍA GEA GARCÍA 2
  3. JUAN JOSÉ MOLINA-MARTÍN 2
  1. 1 Universidad Europea de Madrid
    info

    Universidad Europea de Madrid

    Madrid, España

    ROR https://ror.org/04dp46240

  2. 2 Universidad Católica San Antonio
    info

    Universidad Católica San Antonio

    Murcia, España

    ROR https://ror.org/05b1rsv17

Revista:
Journal of Physical Education and Sport

ISSN: 2247-8051,  2247-806X

Año de publicación: 2023

Volumen: 23

Número: 1

Tipo: Artículo

DOI: 10.7752/JPES.2023.01017 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Journal of Physical Education and Sport

Resumen

Many different factors can affect the performance of athletes in competitions and condition the analysis oftechnical and tactical performance. One of these factors is the so-called competition load of the set, understoodas the difference in points at the end of the set. The main objective of the present study was to investigate thecompetition load of volleyball sets, to establish reference values that will allow classifying the sets as balancedor unbalanced for the male and female categories. A total of 2368 sets were collected from the main internationalvolleyball team competitions in 2021, for a total of 1357 male sets, and 1011 female sets. A K-means clusteringanalysis was performed, allowing the classification of the sets as balanced when the difference was ≤6 for themale category, and ≤7 for the female one; and unbalanced when these values were higher. To study how the restof the variables analyzed affected the percentage of balanced and unbalances sets, a Pearson’s chi-square (x2)analysis was performed, obtaining significant differences on the percentage of balanced and unbalanced sets as afunction of the number of sets in the game in both categories. In the female category, the variable of competitionanalyzed also showed significant differences. Lastly, a CHAID analysis showed that the variable number of setsper game was the main predictor variable for classifying the sets, allowing for the correct classification of 60.4%of the sets in the male category, and 62.7% in the female one. In conclusion, the competition load was associatedwith the total number of sets per match and the tie-breaker set; and it was only related with the competitionanalyzed in the female category. The competition load was not significantly related with the competition phaseanalyzed in any of the two categories. These results can be taken into account by coaches in order to study howthe balance in the sets affects the performance of technical indicators, and the variability in the systems or gamestrategies.

Referencias bibliográficas

  • Aguayo, M., & Lora, E. (2013). How to do a binary Logistic Regression “step by step” (II): multivariate analysis. Docuweb FABIS [in Spanish].
  • Anguera, M. T., Blanco-Villaseñor, A., Luis, L. J., & Portell, M. (2018). Guidelines for designing and conducting a study that applies observational methodology [in Spanish]. Anuario de Pasicología, 48, 9–17. https://doi.org/10.1016/j.anpsic.2018.02.001
  • Araújo, C. R., Tosini, L., Freire, A. B., Costa, G. de C., & Meira, C. M. (2020). Reception-attack relation in men’s and women’s volleyball during the rio 2016 Olympics. Journal of Physical Education and Sport, 20(3), 2008–2012. https://doi.org/10.7752/jpes.2020.s3271
  • Berlanga, V., Rubio, J. M., & Vilà, R. (2013). How to Apply Decision Trees in SPSS [in Spanish]. Revista d’Innovació i Recerca En Educació, 6(1), 65–79. https://doi.org/10.1344/reire2013.6.1615
  • Ciemiński, K. (2018). The efficiency of executing technical actions in volleyball and the teams’ gender and sports level. Trends in Sport Sciences, 25(3), 159–165. https://doi.org/10.23829/TSS.2018.25.3-6
  • Cieśluk, K. (2022). Impact of repeated short-term physical exercise on the level of selected technical skills in youth volleyball. Journal of Physical Education and Sport, 22(9), 2215–2223. https://doi.org/10.7752/jpes.2022.09282
  • Drikos, S., Barzouka, K., Nikolaidou, M. E., & Sotiropoulos, K. (2021). Game variables that predict success and performance level in elite men’s volleyball. International Journal of Performance Analysis in Sport, 21(5), 767–779. https://doi.org/10.1080/24748668.2021.1945879
  • Drikos, S., & Kontouris, P. (2014). The importance of certain performance indicators on specific set types in volleyball. Inquiries in Sport & Physical Education, 12(1), 17–25.
  • Drikos, S., & Vagenas, G. (2011). Multivariate assessment of selected performance indicators in relation to the type and result of a typical set in men’s elite volleyball. International Journal of Performance Analysis in Sport, 11(1), 85–95. https://doi.org/10.1080/24748668.2011.11868531
  • Dutra, L. N., Ugrinowitsch, H., Medeiros, A. I. A., Clemente, F. M., Da Matta, G. B., Figueiredo, L. S., Laporta, L., & Costa, G. D. C. T. (2021). Is there a setting distribution pattern in high-level men’s volleyball? An ecological approach to the game. Journal of Physical Education and Sport, 21, 2190–2198. https://doi.org/10.7752/jpes.2021.s3279
  • Escobar, M. (1998). Segmentation analysis applications: The Chaid procedure [in Spanish]. Revista de Metodología de Ciencias Sociales, 1(1), 13–49.
  • García de Alcaraz, A., Pessoa Da Costa, Y., Batista, G.R. (2022). Exploring the relative age effect in Spanish beach volleyball players. Journal of Physical Education and Sport, 22(10), 2604-2610.
  • Giatsis, G., Drikos, S., & Lola, A. (2022). Analysis of match report indicators in men’s volleyball olympics and world championships (2014–2021) depending on the type of final score. International Journal of Sports Science and Coaching. https://doi.org/10.1177/17479541221086779
  • Gil, J., García, E., & Rodriguez, G. (2001). Discriminant analysis (1st ed.) [in Spanish]. La Muralla.
  • González-Silva, J., Fernández-Echeverría, C., Conejero, M., & Moreno, M. P. (2021). Predictors of Reception Efficacy in Men’s U-21 and Absolute World Volleyball. Rev.Int.Med.Cienc.Act.Fís.Deporte, 21(84), 451- 466. https://doi.org/https://doi.org/10.15366/rimcafd2021.83.003
  • Kitsiou, A., Sotiropoulos, K., Drikos, S., Barzouka, K., & Malousaris, G. (2020). Tendencies of the volleyball serving skill with respect to the serve type across genders. Journal of Physical Education and Sport, 20(2), 564–570. https://doi.org/10.7752/jpes.2020.02083
  • Klecka, W. R., Iversen, G. R., & Klecka, W. R. (1980). Discriminant analysis. SAGE Publications Inc. https://doi.org/https://dx.doi.org/10.4135/9781412983938
  • Lima, R., Castro, H. de O., Afonso, J., Costa, G. D. C. T., Matos, S., Fernandes, S., & Clemente, F. M. (2021). Effects of congested fixture on men’s volleyball load demands: Interactions with sets played. Journal of Functional Morphology and Kinesiology, 6(53). https://doi.org/10.3390/JFMK6020053
  • Lima, R., Palao, J. M., & Clemente, F. M. (2019). Jump Performance During Official Matches in Elite Volleyball Players: A Pilot Study. Journal of Human Kinetics, 67(1), 259–269. https://doi.org/10.2478/hukin-2018-0080
  • López-Serrano, C., Moreno, M. P., Mon-López, D., & Molina, J. J. (2022). In the Opinion of Elite Volleyball Coaches, How Do Contextual Variables Influence Individual Volleyball Performance in Competitions? Sports, 10(156), 1–16. https://doi.org/https://doi.org/10.3390/sports 10100156
  • López, E., Diez-Vega, I., & Molina, J. J. (2021). Effect of serve on reception and side-out performance in relation to ball´s contact with the net and type of serve, in high level male volleyball. RICYDE. Revista Internacional de Ciencias Del Deporte, 17(63), 56–68. https://doi.org/https://doi.org/10.5232/ricyde2021.06305 RICYDE.
  • Males, J. R., Kerr, J. H., Thatcher, J., & Bellew, E. (2006). Team Process and Players’ Psychological Responses to Failure in a National Volleyball Team. The Sport Psychologist, 20(3), 275–294. https://doi.org/10.1123/tsp.20.3.275
  • Marcelino, R., Mesquita, I., Palao, J. M., & Sampaio, J. (2009). Home advantage in high-level volleyball varies according to set number. Journal of Sports Science and Medicine, 8(3), 352–356.
  • Marcelino, R., Mesquita, I., & Sampaio, J. (2010). Study of performance indicators in male volleyball according to the set number. Revista Brasileira de Educação Física e Esporte, 24(1), 69–78.
  • Marcelino, R., Mesquita, I., & Sampaio, J. (2011). Effects of quality of opposition and match status on technical and tactical performances in elite volleyball. Journal of Sports Sciences, 29(7), 733–741. https://doi.org/10.1080/02640414.2011.552516
  • Marcelino, R., Sampaio, J., & Mesquita, I. M. (2012). Attack and serve performances acording the match period and quality of opposition in elite volleyball matches. Journal of Strength and Conditioning Research, 26(12), 3385–3391.
  • Martins, J. B., Mesquita, I., Santos, L., & Afonso, J. (2021). Inter-player variability in game patterns in highlevel women’s volleyball: A study with Outside Hitters (Near vs. Away) using Social Network Analysis. RICYDE: Revista Internacional de Ciencias Del Deporte, 17(65), 234–250. https://doi.org/https://doi.org/10.5232/ricyde2021.06503
  • Molina-Martín, J. J., Díez-Vega, I., & López, E. (2022). Reception-Attack Transition in Volleyball: Analysis of Spike Effectiveness. Apunts Educación Física y Deportes, 149(3), 51–60. https://doi.org/https://doi.org/10.5672/apunts.2014-0983.es.(2022/3).149.06
  • Mroczek, D., Januszkiewicz, A., Kawczyński, A. S., Borysiuk, Z., & Chmura, J. (2014). Analysis of male volleyball players’ motor activities during a top level match. In Journal of Strength and Conditioning Research (Vol. 28, Issue 8). https://doi.org/10.1519/JSC.0000000000000425
  • Mulazimoglu, O., Ayfon, A. A., & Girgin, S. (2021). The effects of technical and tactical criterua on success in 2016 FIVB women´s volleyball world club championship. International Journal of Life Science and Pharma Research, 14(1), 200–203.
  • Přidal, V., & Priklerová, S. (2018). Analysis of relation between team placing in tournament and selected indicators of playing performance in top-level volleyball. Journal of Physical Education and Sport, 18(3), 1501–1505. https://doi.org/10.7752/jpes.2018.03221
  • Ramos, A., Coutinho, P., Silva, P., Davids, K., Guimarães, E., & Mesquita, I. (2017). Entropy measures reveal collective tactical behaviours in volleyball teams : how variability and regularity in game actions influence competitive rankings and match status. International Journal of Performance Analysis in Sport, 8668(November), 1–15. https://doi.org/10.1080/24748668.2017.1405611
  • Rocha, A. C. R., Laporta, L., Andre Barbosa de Lira, C., Modenesi, H., Figueiredo, L. S., & Costa, G. D. C. T. (2021). Complex I in male elite volleyball: an interactional analysis according to reception location. International Journal of Performance Analysis in Sport, 22(1), 1–13. https://doi.org/10.1080/24748668.2021.2003961
  • Rost, D. (1995). A simulation study of the weighted k-means cluster procedure. Journal of Statistical Computation and Simulation, 53(1–2), 51–63.
  • Rubio-Hurtado, M. J., & Vilà-baños, R. (2016). Two-stage or two-stage cluster analysis with SPSS [in Spanish]. Revista d’Innovació i Recerca En Educació, 10(1), 118–126.
  • Sampaio, J., Lago, C., Casais, L., & Leite, N. (2010). Effects of starting score-line, game location, and quality of opposition in basketball quarter score. European Journal of Sport Science, 10(6), 391–396. https://doi.org/10.1080/17461391003699104
  • Sánchez-Moreno, J., Mesquita, I., Afonso, J., Millán-Sánchez, A., & Ureña, A. (2018). Effect of the rally length on performance according to the final action and the playing level in high-level men’s volleyball. RICYDE: Revista Internacional de Ciencias Del Deporte, 14(52), 136–147. https://doi.org/https://doi.org/10.5232/ricyde2018.05204
  • Sotiropoulos, K., Drikos, S., Papadopoulou, S. D., & Barzouka, K. (2021). Characterizing adaptations of serve indicators in top-level male volleyball among seasons. International Journal of Sports Science and Coaching, 16(3), 784–792. https://doi.org/10.1177/1747954120978920