How do match location and opponent level influence complex I offensive strategy in men's volleyball? The case of the Brazilian Men's Superleague
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Abstract
Match analysis identifies patterns in both defensive and offensive systems and key performance parameters, which should be applied in the practice context. This study examined the offensive game patterns in high-level Brazilian men's volleyball, considering the opponent’s ranking and match location. The sample comprised twenty-two matches involving the top four teams competing against each of the twelve participants in the 2021/2022 Brazilian Men's Volleyball Superliga. Each team played both home and away matches, leading to an analysis of 1,699 Complex I attack actions. The results indicated that the highest eigenvector centrality values were observed for settings primarily directed to positions 3 and 4, regardless of the opponent. Attacks were typically executed by the middle blocker positioned in front of and near the setter against single blocks, frequently resulting in points. Variations were observed depending on the team’s rotation and the set phase. High-level Brazilian volleyball teams exhibited minimal variations in their Complex I offensive strategies. However, finalist teams demonstrated differences in the distribution and attack patterns of the middle blocker.
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References
Araújo, D., Davids, K., & Hristovski, R. (2006). The ecological dynamics of decision making in sport. Psychology of Sport and Exercise, 7(6), 653-676. https://doi.org/10.1016/j.psychsport.2006.07.002
Araújo, D., Hristovski, R., Seifert, L., Carvalho, J., & Davids, K. (2017). Ecological cognition: expert decision-making behaviour in sport. International Review of Sport and Exercise Psychology, 12(1), 1-25. https://doi.org/10.1080/1750984X.2017.1349826
Bonacich, P. (2007). Some unique properties of eigenvector centrality. Social Networks, 29(4), 555-564. https://doi.org/10.1016/j.socnet.2007.04.002
Borgatti, S. P. (2005). Centrality and network flow. Social Networks, 27(1), 55-71. https://doi.org/10.1016/j.socnet.2004.11.008
Conti, G., Freire, A., Evangelista, B., Ferreira Pedrosa, G., Ugrinowitsch, H., & Castro, H. (2018). Brazilian high-level men's volleyball: Characterization of the attack performed by the opposite player. Kinesiology, 50(2), 211-217. https://doi.org/10.26582/k.50.2.4
Costa, G. C. T., Ceccato, J. S., Evangelista, B. F. B., Freire, A. B., de Oliveira, A. S., Milistetd, M., Rodrigues, H. A., & Ugrinowitsch, H. (2016). Tactic determinants of game practiced by middle attacker in men's volleyball. Revista Brasileira de Cineantropometria e Desempenho Humano, 18(3). https://doi.org/10.5007/1980-0037.2016v18n3p371
Costa, G. D. C., Ceccato, J. S., Oliveira, A. S. de, Evangelista, B. F. de B., Castro, H. de O., & Ugrinowitsch, H. (2016). Voleibol Masculino de Alto Nível: associação entre as ações de jogo no side-out. Journal of Physical Education, 27(1), e-2752. https://doi.org/10.4025/jphyseduc.v27i1.2152
do Nascimento, M. H., Castro, H. de O., Rocha, A. C. R., Freire, A. B., Pedrosa, G. F., Ugrinowitsch, H., Savassi Figueiredo, L., Laporta, L., & Costa, G. D. C. T. (2024). Social Network Analysis: Understanding Volleyball Dynamics through Match Opponents. Applied Sciences, 14(13), 5418. https://doi.org/10.3390/app14135418
Drikos, S., Barzouka, K., Balasas, D. G., & Sotiropoulos, K. (2022). Effect of quality of opposition on game performance indicators in elite male volleyball. International Journal of Sports Science & Coaching, 17(1), 169-177. https://doi.org/10.1177/17479541211013701
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
Đurković, T., Marelić, N., & Rešetar, T. (2008). Influence of the position of players in rotation on differences between winning and loosing teams in volleyball. International Journal of Performance Analysis in Sport, 8(2), 8-15. https://doi.org/10.1080/24748668.2008.11868431
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. https://doi.org/10.7752/jpes.2021.s3279
Fellingham, G. W., Hinkle, L. J., & Hunter, I. (2013). Importance of attack speed in volleyball. 9(1), 87-96. https://doi.org/10.1515/jqas-2012-0049
Fernandez-Echeverria, C., Mesquita, I., Conejero, M., & Moreno, M. P. (2019). Perceptions of elite volleyball players on the importance of match analysis during the training process. International Journal of Performance Analysis in Sport, 19(1), 49-64. https://doi.org/10.1080/24748668.2018.1559544
Fleiss, J. L., Levin, B., & Paik, M. C. (2013). Statistical methods for rates and proportions (3o ed, Vol. 1). John Wiley & Sons.
García-de-Alcaraz, A., & Marcelino, R. (2017). Influence of match quality on men's volleyball performance at different competition levels. International Journal of Performance Analysis in Sport, 17(4), 394-405. https://doi.org/10.1080/24748668.2017.1348058
Giatsis, G., Drikos, S., & Lola, A. (2023). 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, 18(3), 874-882. https://doi.org/10.1177/17479541221086779
González-Rodenas, J., Aranda-Malavés, R., Tudela-Desantes, A., Calabuig Moreno, F., Casal, C. A., & Aranda, R. (2019). Effect of Match Location, Team Ranking, Match Status and Tactical Dimensions on the Offensive Performance in Spanish 'La Liga' Soccer Matches. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.02089
Hurst, M., Loureiro, M., Valongo, B., Laporta, L., Nikolaidis, T. P., & Afonso, J. (2016). Systemic Mapping of High-Level Women's Volleyball using Social Network Analysis: The Case of Serve (K0), Side-out (KI), Side-out Transition (KII) and Transition (KIII). International Journal of Performance Analysis in Sport, 16(2), 695-710. https://doi.org/10.1080/24748668.2016.11868917
Laporta, L., Afonso, J., & Mesquita, I. (2018a). Interaction network analysis of the six game complexes in high-level volleyball through the use of Eigenvector Centrality. PLOS ONE, 13(9), e0203348-. https://doi.org/10.1371/journal.pone.0203348
Laporta, L., Afonso, J., & Mesquita, I. (2018b). The need for weighting indirect connections between game variables: Social Network Analysis and eigenvector centrality applied to high-level men's volleyball. International Journal of Performance Analysis in Sport, 18(6), 1067-1077. https://doi.org/10.1080/24748668.2018.1553094
Laporta, L., Costa, G. D. C. T., Fernandes, L. G., Pastori, I. A., Rocha, A. C. R., Hileno, R., Lima, R. F., Castro, H. de O., & Afonso, J. (2023). Sequence and efficacy of game complexes in high-level women's volleyball: A novel perspective through Social Network Analysis. International Journal of Sports Science & Coaching, 18(3), 867-873. https://doi.org/10.1177/17479541221087688
Laporta, L., Nikolaidis, P., Thomas, L., & Afonso, J. (2015). Attack Coverage in High-Level Men's Volleyball: Organization on the Edge of Chaos? Journal of Human Kinetics, 47(1), 249. https://doi.org/10.1515/hukin-2015-0080
Lima, V. da S., Rocha, F. B. F., Diniz, I. B., Garcia-de-Alcaraz, A., Palao, J. M., Costa, G. D. C. T., Mesquita, I., Medeiros, A. I. A., & Batista, G. R. (2023). Status of Match Analysis Research in Indoor and Beach Volleyball: A bibliometric analysis . Retos, 50, 838-848. https://doi.org/10.47197/retos.v50.100039
López, E., Molina, J. J., Díaz-Bento, M. S., & Díez-Vega, I. (2023). Spike performance in K1: influence of rotation and reception area on high level men's volleyball teams. Retos, 48, 213-221. https://doi.org/10.47197/retos.v48.93875
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
Martins, J. B., Afonso, J., Mendes, A., Santos, L., & Mesquita, I. (2022). Inter-team variability in game play under critical game scenarios: a study in high-level men. Retos, 43, 1095-1105. https://doi.org/10.47197/retos.v43i0.90505
Martins, J. B., Mesquita, I., Mendes, A., Santos, L., & Afonso, J. (2021). Inter-team variability in high-level women's volleyball from the perspective of Social Network Analysis: an analysis in critical game scenarios. International Journal of Performance Analysis in Sport, 21(4), 564-578. https://doi.org/10.1080/24748668.2021.1924524
Millán-Sánchez, A., Rábago, J. C. M., & Espa, A. U. (2019). The middle blocker in volleyball: A systematic review. Journal of Human Sport and Exercise, 14(1), 24-46. https://doi.org/10.14198/jhse.2019.141.03
Nascimento, M. H. do, Laporta, L., Rocha, A. C. R., Lira, C. A. B., Campos, M. H., Pedrosa, G. F., Guimarães, J. da S., Clemente, F. M., Lima, R. F., Leonardi, T. J., Rodrigues, M. C. J., Castro, H. de O., & Costa, G. D. C. T. (2023). Setting Decision Making in male high- level volleyball: a study from ecological theory and social network analysis perspective. Retos, 50, 1098-1107. https://doi.org/10.47197/retos.v50.98679
Nascimento, M. H., Laporta, L., Pedrosa, G. F., Rocha, A. C. R., de Lira, C. A. B., Campos, M. H., da Silva Guimarães, J., Leonardi, T. J., Rodrigues, M. C. J., Savassi Figueiredo, L., de Oliveira Castro, H., & De Conti Teixeira Costa, G. (2023). The Decision-Making of High-Level Volleyball Setters in the 2021-2022 Volleyball Men's Superliga: Does the Opponent Matter? Perceptual and Motor Skills, 130(6), 2603-2620. https://doi.org/10.1177/00315125231201943
Nascimento, M. H., Laporta, L., Rocha, A. C. R., DE LIRA, C. A. B., Campos, M. H., Pedrosa, G. F., Guimarães, J. D. S., Rodrigues, M. C. J., Leonardi, T. J., Castro, H. D. O., & Costa, G. D. C. T. (2023). Decision making in men's high-level volleyball: analysis of the setter based on game performance. Journal of Physical Education and Sport, 23(3), 603-612. https://doi.org/10.7752/jpes.2023.03075
Newman, M. E. J. (2006). Modularity and community structure in networks. Proceedings of the National Academy of Sciences, 103(23), 8577-8582. https://doi.org/10.1073/pnas.0601602103
Pollard, R. (2008). Home Advantage in Football: A Current Review of an Unsolved Puzzle. The Open Sports Sciences Journal, 1(1), 12-14. https://doi.org/10.2174/1875399X00801010012
Pollard, R., Prieto, J., & Gómez, M. Á. (2017). Global differences in home advantage by country, sport and sex. International Journal of Performance Analysis in Sport, 17(4), 586-599. https://doi.org/10.1080/24748668.2017.1372164
Ribeiro, L. D. C., Fonseca, F. D. S., Costa, G. D. C. T., Castro, H. D. O., Santos, J. P. V. D. S., & Figueiredo, L. S. (2022). Did the Absence of Crowd Support during the Covid-19 Pandemic Affect the Home Advantage in Brazilian Elite Soccer? Journal of Human Kinetics, 81(1). https://doi.org/10.2478/hukin-2022-0047
Rocha, A. C. R., Laporta, L., Andre Barbosa de Lira, C., Modenesi, H., Figueiredo, L. S., & Costa, G. D. C. T. (2022). Complex I in male elite volleyball: an interactional analysis according to reception location. International Journal of Performance Analysis in Sport, 22(1), 77-89. https://doi.org/10.1080/24748668.2021.2003961
Rocha, A. C. R., Laporta, L., Rodrigues, G. P., de Lira, C. A. B., de Oliveira Castro, H., & de Conti Teixeira Costa, G. (2023). Is it possible for the reception and the player-receiver to influence the offensive construction in volleyball? An ecological vision and Intragame procedural relationships in high-level teams. International Journal of Performance Analysis in Sport, 0(0), 1-15. https://doi.org/10.1080/24748668.2023.2229204
Rocha, A. C. R., Laporta, L., Rodrigues, G. P., Guimarães, J. da S., do Nascimento, M. H., Rodrigues, M. C. J., Leonardi, T. J., de Lira, C. A. B., Castro, H. de O., & Costa, G. D. C. T. (2023). Inter e intra-variability of the best ranked teams: A network analysis in male high-level volleyball. PLOS ONE, 18(2), e0280365. https://doi.org/10.1371/journal.pone.0280365
Rocha, A. C. R., Pedrosa, G. F., Freire, A. B., Praça, G. M., Ugrinowitsch, H., Castro, H. O., & Costa, G. C. T. (2020). Analysis of the setting and predictive factors of the effect of attack according to game ecology: The case of female volleyball. Kinesiology, 52(2). https://doi.org/10.26582/k.52.2.7
Silva, M., Lacerda, D., & João, P. V. (2013). Match analysis of discrimination skills according to the setter attack zone position in high level volleyball. International Journal of Performance Analysis in Sport, 13(2), 452-460. https://doi.org/10.1080/24748668.2013.11868661
Silva, M., Marcelino, R., Lacerda, D., & João, P. V. (2016). Match Analysis in Volleyball: a systematic review. Em J. Sports Sci. Med (Vol. 5).
Silva, M., Sattler, T., Lacerda, D., & João, P. V. (2016). Match analysis according to the performance of team rotations in Volleyball. International Journal of Performance Analysis in Sport, 16(3), 1076-1086. https://doi.org/10.1080/24748668.2016.11868949
Tabachnick, B., & Fidell, L. (2013). Using multivariate statistics (6o ed, Vol. 1). Pearson.
van Meurs, E., Rehr, J. P., Raue-Behlau, C., & Strauss, B. (2023). No relevant spectator impact on home advantage in male and female professional volleyball - A longitudinal multilevel logistic model analysis over 25 years. Psychology of Sport and Exercise, 66, 102401. https://doi.org/10.1016/j.psychsport.2023.102401
Woods, C. T., McKeown, I., O'Sullivan, M., Robertson, S., & Davids, K. (2020). Theory to Practice: Performance Preparation Models in Contemporary High-Level Sport Guided by an Ecological Dynamics Framework. Sports Medicine - Open, 6(1), 36. https://doi.org/10.1186/s40798-020-00268-5
Yu, Y., García-De-Alcaraz, A., Cui, K., & Liu, T. (2020). Interactive effects of home advantage and quality of opponent in Chinese Women's Volleyball Association League. International Journal of Performance Analysis in Sport, 20(1), 107-117. https://doi.org/10.1080/24748668.2020.1714414
Yu, Y., García-de-Alcaraz, A., Ji, X., Jin, H., Cui, K., & Liu, T. (2021). Effects of home advantage on set outcome and game actions performance in the Chinese Women's Volleyball Association League. International Journal of Performance Analysis in Sport, 21(4), 532-542. https://doi.org/10.1080/24748668.2021.1924527