The influence of the middle attacker threat on attack performance per rotation of complex 1 in top-level male volleyball
Keywords:
volleyball, high-level, middle attacker, threat, attack performanceAbstract
In volleyball, the performance of the attack in Complex 1 is an important factor in achieving victory.
However, the rotation rule requires teams to have a different line-up for each rotation and the middle attacker
(MA) to have a different starting position in each rotation. The purpose of the study was to investigate the
influence of the attack movement (threat) of the middle attacker (MA) on the attack performance, per
rotation (R1-R6) in complex 1. The sample consisted of 36 matches of the OG 2012 and the final phase of
the European Men's Championship 2021. A total of N= 4447 offensive actions were recorded and analysed.
A chi-square test of independence was performed for statistical analysis, and effect size was assessed with
the Cramer V index and adjusted residuals. The level of significance for all measurements was set at p<0.05.
The results showed that the existence of an offensive threat of the MA positively affected the performance of
the attack in all rotations of Complex 1 as the effectiveness of the attack is higher when there is a threat of
MA. In all rotations, the lack of MA threat resulted in a lower-than-expected proportion of win attacks and a
higher proportion of continued attacks, while there was no difference in lost attacks. The exception was
rotation 5 where the proportion of lost attacks was higher than expected.
References
Altman, D. G., Ludbrook, J., & Altman, D. G. (1991). Practical Statistics for Medical Research. Australian and
New Zealand Journal of Surgery, 61(12), 963–964.
Charmant, J. (2024). https://kinovea.org/. https://kinovea.org/
Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement,
(1), 37–46. https://doi.org/10.1177/001316446002000104
Cohen, J. (1968). Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit.
Psychological Bulletin, 70(4), 213–220. https://doi.org/10.1037/H0026256
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Drikos, S. (2019). Complex 1 in Male Volleyball as a Markov Chain. In D. Karlis, I. Ntzoufras, & S. Drikos
(Eds.), MATHSPORT INTERNATIONAL 2019 CONFERENCE (pp. 80–85). Propobos Publications.
Durkovic, T., Marelic, N., & Resetar, T. (2009). Rotation analysis of teams’ performances at 2003 youth European
volleyball chmpionship. Kinesiology, 41(1), 60–66.
Eom, H. J., & Schutz, N. R. (1992). Statistical analysis of Volleyball team performance. Research Quarterly for
Exercises and Sport, 63(1), 11–18.
Fellingham, G. W., Hinkle, L. J., & Hunter, I. (2013). Importance of attack speed in volleyball. Journal of
Quantitative Analysis in Sports, 9(1), 87–96. https://doi.org/10.1515/JQAS-2012-0049
F.I.V.B. (2012). Official Volleyball Rules. FIVB.
Gkreka, S., Barzouka, K., Drikos, S., & Sotiropoulos, K. (2021). Performance of Male and Female Top-level
Outside Hitters Regarding the Spatiotemporal Characteristics of the Volleyball Spike. Inquiries in Sport &
Physical Education, 19(1), 30–45.
González-Silva, J., Moreno, A., Fernández-Echeverría, C., Claver, F., & Moreno, M. P. (2018). Variables
predictors of the set in the defence complex in volleyball. Revista Internacional de Medicina y Ciencias de
La Actividad Fisica y Del Deporte, 18(71). https://doi.org/10.15366/rimcafd2018.71.002
Hileno, R., Arasanz, M., & García-de-Alcaraz, A. (2020). The Sequencing of Game Complexes in Women’s
Volleyball. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.00739
Laios, A., & Kountouris, P. (2010). Association Between The Line-Up Of The Players And The Efficiency Of The
Serving Team In Volleyball. International Journal of Performance Analysis in Sport, 10, 1–8.
López, E., Díez-Vega, I., & Molina, J. J. (2020). Reception and performance in high level male volleyball: A
relational study. Journal of Human Sport and Exercise, 17(2). https://doi.org/10.14198/jhse.2022.172.16
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(February), 213–221.
https://doi.org/10.47197/retos.v48.93875
Marcelino, R., Afonso, J., Moraes, J. C., & Mesquita, I. M. R. (2014). Determinants of attack players in high-level
men’s volleyball. Kinesiology, 46(2), 234–241.
Meyer, D., Zeileis, A., & Hornik, K. (2020). vcd: Visualizing Categorical Data. R package version 1.4-7.
Millán-Sánchez, A., Rabago, M. J. C., & Ureña Espa, A. (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
R Development Core Team. (2011). R: A language and environment for statistical computing. R Foundation for
Statistical Computing. https://www.r-project.org/
Robinson, G., & O’Donoghue, P. (2007). A weighted kappa statistic for reliability testing in performance analysis
of sport. International Journal of Performance Analysis in Sport, 7(1), 12–19.
https://doi.org/10.1080/24748668.2007.11868383
Silva, M., Lacerda, D., & João, P. V. (2014). Game-related volleyball skills that influence victory. Journal of
Human Kinetics, 41(1), 173–179. https://doi.org/10.2478/hukin-2014-0045
Άθληση και Κοινωνία 00 (0000) 000–000
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
Stutzig, N., Zimmermann, B., Büsch, D., & Siebert, T. (2015). Analysis of game variables to predict scoring and
performance levels in elite men’s volleyball. International Journal of Performance Analysis in Sport, 15(3),
–829. https://doi.org/10.1080/24748668.2015.11868833
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.).
Tsavdaroglou, S., Sotiropoulos, K., & Barzouka, K. (2018). Comparison and assessment of the setting zone
choices by elite male and female volleyball setters in relation to opposing block organization. Journal of
Physical Education and Sport, 18, 2147–2152. https://doi.org/10.7752/jpes.2018.s5325
Zaiontz, C. (2021). Real Statistics Resource Pack. In Real Statistics using Excel. http://www.real-statistics.com/
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