Effect of the rally length on performance according to the final action and the playing level in high-level men’s volleyball

  1. Joaquín Sánchez-Moreno 1
  2. Isabel Mesquita 2
  3. José Afonso 2
  4. Antonio Millán-Sánchez 1
  5. Aurelio Ureña 1
  1. 1 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

  2. 2 University of Porto. Portugal
Journal:
RICYDE. Revista Internacional de Ciencias del Deporte

ISSN: 1885-3137

Year of publication: 2018

Volume: 14

Issue: 52

Pages: 136-147

Type: Article

DOI: 10.5232/RICYDE2018.05204 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: RICYDE. Revista Internacional de Ciencias del Deporte

Abstract

The aim of this study was to analyze how rally length affected performance according to the final action of the rally and the playing level, as well as to identify potential critical rallies associated with rally length in high-level men’s volleyball. Thirty-one matches (5,438 rallies) of the top ranking national teams were sampled from two of the premier worldwide competitions: Men’s World Championship and Men’s World League. Rallies between eight and ten seconds emerged as critical incidents of the game, changing the general trend in performance according to the final action of the rally (attack point or attack error with or without opposite team’s contact). Rallies longer than ten seconds seemed to balance the chances of success between both teams, with the team in the side-out phase losing the initial advantage of being the first team to attack. Differences were found among teams of similar level, suggesting that the ability to efficiently manage some game situations might be attributed to team’s features. Coaches may deliver drills with varying playing styles and strategies depending on the length of the really, determining the degree of risk according to the length.

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Funding information

This work was supported by the Spanish Science and Innovation Ministry, National Programme I + D + i: project “MasVb competitive assessment system and technical guidance for Spanish Superleague of Volleyball” under Grant DEP2011-27503.

Funders

Bibliographic References

  • Althuwaynee, O. F.; Pradhan, B.; Park, H., & Lee, J. H. (2014). A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping. Landslides, 11, 1063– 1078. https://doi.org/10.1007/s10346-014-0466-0
  • Argolo, J. S. (2015). Temporal analysis of goals in woman's football London Olympics game 2012. Revista brasileira de futsal e futebol, 24(7), 191-194.
  • Bar-Eli, M., & Tractinsky, N. (2000). Criticality of game situations and decision making in basketball: An application on performance crisis perspective. Psychology of Sports and Exercise, 1, 27-39. https://doi.org/10.1016/S1469-0292(00)00005-4
  • Barzouka, Κ.; Nikolaidou, M. E.; Malousaris, G., & Bergeles, N. (2006). Performance excellence of male setters and attackers in Complex I and II on volleyball teams in the 2004 Olympic Games. International Journal of Volleyball Research, 9, 19-24.
  • Bergeles N.; Barzouka K., & Nikolaidou M. (2009). Performance of male and female setters and attackers on Olympic-level volleyball teams. International Journal of Performance Analysis in Sport, 9(1), 141-148.
  • Evans, M. B., & Eys, M. A. (2015). Collective goals and shared tasks: interdependence structure and perceptions of individual sport team environments. Scandinavian Journal of Medicine and Science in Sports, 25(1), 139–148. https://doi.org/10.1111/sms.12235
  • Fédération Internationale de Volleyball (2015a). FIVB Senior World Ranking – Men (January, 2011). Retrieved from: http://www.fivb.org/en/volleyball/VB_Ranking_M_2011-01.asp
  • Fédération Internationale de Volleyball (2015b). Official volleyball rules 2015-2016. Approved by the 34th FIVB Congress 2014. Retrieved from: http://www.fivb.org/EN/Refereeing-Rules/documents/FIVB_Volleyball_Rules_20152016_EN_V3_20150205.pdf
  • Ferreira, A. P.; Volossovitch, A., & Sampaio, J. (2014). Towards the game critical moments in basketball: a grounded theory approach. International Journal of Performance Analysis in Sport, 14, 428-442.
  • Fleiss, J. L.; Levin, B. A., & Paik, M. C. (2003). Statistical methods for rates and proportions (3rd ed.). Hoboken, NJ: John Wiley and Sons. https://doi.org/10.1002/0471445428
  • Gómez, M. Á.; Battaglia, O.; Lorenzo, A.; Lorenzo, J.; Jiménez, S., & Sampaio, J. (2015). Effectiveness during ball screens in elite basketball games. Journal of Sports Sciences. 33(17), 1844-1852. https://doi.org/10.1080/02640414.2015.1014829
  • Gonçalves, B.; Marcelino, R.; Torres-Ronda, L.; Torrents, C., & Sampaio, J. (2016). Effects of emphasising opposition and cooperation on collective movement behaviour during football small-sided games. Journal of Sports Sciences, 29, 1-9. https://doi.org/10.1080/02640414.2016.1143111
  • González-Silva, J.; Moreno, A.; Fernández-Echeverría, C.; Conejero, M., & Moreno, M. P. (2016). Characteristics of the set in volleyball, in formative stages, in set win and lost. Retos, 30, 43-47.
  • Granatelli, G.; Gabbett, T. J.; Briotti, G.; Padulo, J.; Buglione, A.; D' Ottavio, S., & Ruscello, B. M., (2014). Match analysis and temporal patterns of fatigue in rugby sevens. Journal of strength and conditioning research, 28(3), 728-734. https://doi.org/10.1080/02640414.2016.1143111
  • Hughes, M., & Bartlett, R. M. (2002). The use of performance indicators in performance analysis. Journal of Sports Sciences, 20, 739-754. https://doi.org/10.1080/026404102320675602
  • Hughes, M.; Dawkins, N.; David, R., & Mills, J. (1998). The perturbation effect and goal opportunities in soccer. Journal of Sport Sciences, 16, 20.
  • Hughes, M., & Franks, I.M. (2004). Notational Analysis of Sport: systems for better coaching and performance in sport (2nd ed.). London: Routledge.
  • Hughes, M.; Landridge, C., & Dawkin, N. (1998). Perturbation leading to shooting in soccer. In Hughes, M. and Tavares, F. (Eds.). Proceedings of the Notational Analysis of Sport IV World Congress (p. 33-40). Porto: FCDEF-UP.
  • Joao, P. V.; Leite, N.; Mesquita, I., & Sampaio, J. (2010). Sex differences in discriminative power of volleyball game-related statistics. Perceptual and Motor Skills, 111(3), 893900. https://doi.org/10.2466/05.11.25.PMS.111.6.893-900
  • Kass, G. V. (1980). An exploratory technique for investigating large quantities of categorical data. Applied Statatistics, 29(2), 119–127. https://doi.org/10.2307/2986296
  • Laporta, L.; Nikolaidis, P.; 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. Montenegrin Journal of Sports Science and Medicine, 4(1), 19–24.
  • Marcelino, R.; Sampaio, J., & Mesquita, I. (2012). Attack and serve performances according to the match period and quality of opposition in elite volleyball matches. Journal of Strength and Conditioning Research, 26(12), 33853391. https://doi.org/10.1519/JSC.0b013e3182474269
  • Mesquita, I.; Palao, J. M.; Marcelino, R., & Afonso, J. (2013). Performance analysis in indoor volleyball and beach volleyball. In T. McGarry, P. O’Donoghue and J. Sampaio (Eds.), Routledge handbook of sports performance analysis (pp. 367-379). Oxon: Routledge.
  • Millán-Sánchez, A.; Morante, J. C.; Álvarez, M.; Femia, P., & Ureña, A. (2015). Participation in terminal actions according to the role of the player and his location on the court in top-level men’s volleyball. International Journal of Performance Analysis in Sport, 15, 608-619.
  • Palao, J. M.; Santos, J. A., & Ureña, A. (2004). Effect of team level on skill performance in volleyball. International Journal of Performance Analysis of Sport, 4(2), 50-60.
  • 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 of Sport, 7(2), 126-138.
  • Peña, J.; Rodríguez-Guerra, J.; Buscà, B., & Serra, N. (2013). Which skills and factors better predict winning and losing in high-level men’s volleyball? Journal of Strength and Conditioning Research, 27(9), 2487–2493. https://doi.org/10.1519/JSC.0b013e31827f4dbe
  • Ramos, A.; Coutinho, P.; Silva, P.; Davids, K., & Mesquita, I. (2017). How players exploit variability and regularity of game actions in female volleyball teams. European Journal of Sport Science, 17(4). 473-481. https://doi.org/10.1080/17461391.2016.1271459
  • Sampaio, J.; Ferreira, A. P.; Ibáñez, S., & Ribeiro, C. (2004). Success in the last 5 minutes of basketball close games: investigating final outcome of ball possession, duration of ball possession, number of players’ involved, defensive opposition and court location. Proceedings of the World Congress of performance Analysis in Sport 6, Belfast.
  • Sánchez-Moreno, J.; Afonso, J.; Mesquita, I., & Ureña, A. (2016). Dynamics between playing activities and rest time in high-level men’s volleyball. International Journal of Performance Analysis in Sport, 16, 317-331.
  • Sánchez-Moreno, J.; Marcelino, R.; Mesquita, I., & Ureña, A. (2015). Analysis of the rally length as a critical incident of the game in elite male volleyball. International Journal of Performance Analysis in Sport, 15(2), 620-631.
  • Sapena, M. I.; Parra, M.; León, J.; Fradua, L.; Benítez, J. M., & Ureña, A. (2016) Relationship between middle hitter and setter’s position and its influence on the attack zone in elite men’s volleyball. International Journal of Performance Analysis in Sport, 16(2), 523-538.
  • Sattler, T.; Hadžić, V.; DerviÅ¡ević, E., & Markovic, G. (2015). Vertical jump performance of professional male and female volleyball players: effects of playing position and competition level. Journal of Strength and Conditioning Research, 29(6), 1486–1493. https://doi.org/10.1519/JSC.0000000000000781
  • Silva, M.; Lacerda, D., & Joao, 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
  • Tabachnick, B., & Fidell, L. (2013). Using multivariate statistics (6th ed.). Boston: Allyn and Bacon.
  • Torres-Luque, G.; Sánchez-Pay, A.; Fernández-García, Á. I., & Palao, J. M. (2014). Características de la estructura temporal en tenis. Una revisión, Journal of Sport and Health Research, 6, 117-128.
  • 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 Sport, 3, 1559-1570. 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, 172–177.
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