Complexes and final scoring actions in top level volleyball: comparison between genders

Authors

  • Maria Gasparatou National and Kapodistrian University of Athens
  • Sotirios Drikos National and Kapodistrian University of Athens
  • Konstantinos Sotiropoulos National and Kapodistrian University of Athens
  • Karolina Barzouka National and Kapodistrian University of Athens

Keywords:

match analysis, volleyball complex, scoring skills

Abstract

Volleyball consists of six complexes (C0-C5) and final scoring actions (attack, block, serve, opponent’s errors). The aim of the present study was to compare the frequency of occurrence of the game complexes (C0= Serve, C1= receive serve / pass / attack, C2= serve / block / defence / pass / counterattack, C3= block / defence / pass / counterattack, C4= cover attack / pass / attack, C5= free ball/pass/attack) and final scoring actions (S=Serve, A=Attack, B=Block, DA= Direct attack, OEA= Opponent error Attack, OES=Opponent's error Serve, OEO=opponent's error other) between genders in high-level volleyball. A total of N=15.603 complexes (M= 8.702, F= 6.901) were recorded, of which N=4.464 (M= 2.615, F= 1.849) yielded points, from the 2019 Men's European Championship Finals and Worlds Finals matches Women's Championship 2018. Statistical analysis was performed with the χ2 independence test, Fisher's exact test and z-test. The results showed that the frequency of occurrence of the complexes is different between genders (χ2=111,261, df=5, p<0,001), as in C0 (p<0.001) and C1 (p<0.001) there was a higher frequency of occurrence in males. On the contrary, in C3 (p<0.001) and C5 (p<0.001), there was a higher frequency in females. The frequency of effective complexes differed between genders (χ2=48.689, df=5, p<0.001), as C0 (p=0.032) and C1 (p<0.001) showed a higher frequency in Men, while in Women C3 (p<0.001) and C5 (p<0.001). In addition, a difference between genders was found in terms of the frequency of occurrence of final scoring actions (p<0.001), as in C0 (p=0.031), C1 (p<0.001) and C3 (p= 0.002) there was a higher frequency in males. Regarding the scoring actions per complex, significant differences were identified for the attack in C1 (p<0.001), C2 (p=0.002) and C3 (p=0.020) where females had a higher frequency of earned points. In contrast, for OES in C1 (p<0.001), OEA in C2 (p=0.045) and B in C2 (p=0.006) and C3 (p=0.009), there was a higher frequency of points gained by men. To conclude, the genders differ in the frequency of occurrence of the final scoring actions in C1, as far as men are concerned, points are won mainly from the blocking, serving and attack errors of the opponents in conjunction with the high rate of attack compared to the women who win the points mainly from the attack. Coaches can use the study's findings to make better allocation of training time.

References

Afonso, J., & Almeida, M. (2013). Playing the freeball in volleyball: differences between men and women at the elite level. EFDeportes. Com, Revista Digital, 184. https://www.efdeportes.com/efd184/playing-the-freeball-in-volleyball.htm

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.

Bertucci, B. (1982). Championship volleyball (Leisure Press., Ed.; The West P). Challoumas, D., & Artemiou, A. (2018). Predictors of attack performance in high-level male volleyball players. International Journal of Sports Physiology and Performance, 13(9). https://doi.org/10.1123/ijspp.2018-0125

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Costa, G. D. C. T., Afonso, J., Brant, E., & Mesquita, I. M. R. (2012). Differences in game patterns between male and female youth volleyball. Kinesiology, 44(1), 60–66.

Drikos, S., Ntzoufras, I., & Apostolidis, N. (2019). Bayesian Analysis of Skills Importance in World Champions Men’s Volleyball across Ages. International Journal of Computer Science in Sport, 18(1), 24–44. https://doi.org/10.2478/ijcss-2019-0002

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

F.I.V.B. (2012). Official Volleyball Rules. FIVB.

Hileno, R., & Busca, B. (2012). Observational tool for analyzing attack coverage in volleyball. Revista Internacional de Medicina y Ciencias de La Actividad Fisica y Del Deporte, 12(47), 557–570.

Hileno, R., García-De-Alcaraz, A., & Arasanz, M. (2020). The Sequencing of Game Complexes in Women’s Volleyball. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2020.00739

Hurst, M., Loureiro, M., Valongo, B., Laporta, L., Nikolaidis, P. T., & Afonso, J. (2017). Systemic Mapping of High-Level Women’s Volleyball using Social Network Analysis: The Case of Attack Coverage, Freeball, and Downball. Journal of Sports Science and Medicine, 6. http://mjssm.me/?sekcija=article&artid=132

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 ® (JPES), 20(2), 564–570. https://doi.org/10.7752/jpes.2020.02083

Laporta, L., Afonso, J., & Mesquita, I. M. R. (2018). 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., 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). https://doi.org/10.1515/hukin-2015-0080

Laporta, L., Thomas, L., & Afonso, J. (2015). The Importance of Loosely Systematized Game Phases in Sports: The Case of Attack Coverage Systems in High-Level Women’s Volleyball. In Journal of Sports Science and Medicine, 4.

Loureiro, M., Hurst, M., Valongo, B., Nikolaidis, P., Laporta, L., & Afonso, J. (2017). A comprehensive mapping of high-level men’s volleyball gameplay through social network analysis: Analysing serve, side-out, side-out transition and transition. Montenegrin Journal of Sports Science and Medicine, 6(2). https://doi.org/10.26773/mjssm.2017.09.005

Mesquita, I. M. R., & César, B. (2007). Characterisation of the opposite player’s attack from the opposition block characteristics. An applied study in the Athens Olympic games in female volleyball teams. International Journal of Performance Analysis in Sport, 7(2), 13–27.

Michalopoulos, G., Sotiropoulos, K., Drikos, S., Barzouka, K., & Angelonidis, Y. (2020). Spatiotemporal analysis of setting per game complex and team rotation in junior volleyball. Trends in Sport Sciences, 27(3), 141–148. https://doi.org/10.23829/TSS.2020.27.3-4

Nishijima, T., Ohsawa, S., & Matsuura, Y. (1987). The relationship between the game performance and group skill in volleyball. International Journal of Physical Education, 24(4), 20–26.

Oikonomopoulou, A., Barzouka, K., Sotiropoulos, K., Drikos, S., & Noutsos, K. (2022). Spatiotemporal analysis of setting per game complex and origin of the ball in junior female volleyball players. Journal of Physical Education and Sport, 22(3), 652–660. https://doi.org/10.7752/jpes.2022.03082

Palao, J. M., Manzanares, P., & Ortega, E. (2009). Techniques used and efficacy of volleyball skills in relation to gender. International Journal of Performance Analysis in Sport, 9(2), 281–293. https://doi.org/10.1080/24748668.2009.11868484

Palao, J. M., Santos, J. A., & Ureña, A. (2004). Effect of team level on skill performance in volleyball. International Journal of Performance Analysis in Sport, 4(2), 50–60. https://doi.org/10.1080/24748668.2004.11868304

Palao, J. M., Santos, J. A., & Ureña, A. (2007). Effect of the manner of spike execution on spike performance in volleyball. International Journal of Performance Analysis in Sport, 7(2), 126–138. https://doi.org/10.1080/24748668.2007.11868402

Reed, B., & Edwards, P. (1992). Teaching children to play Games. White Line Publishing.

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

Seminati, E., Marzari, A., Vacondio, O., & Minetti, A. E. (2015). Shoulder 3D range of motion and humerus rotation in two volleyball spike techniques: injury prevention and performance. Sports Biomechanics, 14(2), 216–231.

Stamm, R., Stamm, M., Torilo, D., Thomson, K., & Jairus, A. (2016). Comparative analysis of the elements of attack and defence in men’s and women’s games in the Estonian volleyball highest league. Papers on Anthropology, 25(1), 37. https://doi.org/10.12697/poa.2016.25.1.04

Titov, S., & Steel, S. (2022). VNL Picture of the Game-2022.

Zaiontz, C. (2021). Real Statistics Resource Pack. In Real Statistics using Excel. http://www.real-statistics.com/

Zetou, E., Moustakidis, A., Tsigilis, N., & Komninakidou, A. (2007). Does Effectiveness of Skill in Complex I Predict Win in Men’s Olympic Volleyball Games? Journal of Quantitative Analysis in Sports, 3(4), 1–11. https://doi.org/10.2202/1559-0410.1076

Zetou, E., Tsigilis, N., Moustakidis, A., & Komninakidou, A. (2006). Playing characteristics of men’s Olympic Volleyball teams in complex II. International Journal of Performance Analysis in Sport, 6(December 2015), 172–177.

Zhang, R. (2000). How to profit by the new rules. The Coach, 1, 9–11.

Published

2024-02-12

How to Cite

Γασπαράτου Μ., Δρίκος Σ., Σωτηρόπουλος Κ., & Μπαρζούκα Κ. (2024). Complexes and final scoring actions in top level volleyball: comparison between genders. Exercise and Society, 3, 22–36. Retrieved from http://ojs.staff.duth.gr/ojs/index.php/ExSoc/article/view/523

Issue

Section

Team Sports Coaching