Elite coaches’ approach to quantifying technical actions and relative participation in volleyball players’ performance

  1. Carlos López Serrano 1
  2. María Perla Moreno Arroyo 2
  3. Daniel Mon 1
  4. Juan José Molina Martín 1
  1. 1 Polytechnic University of Madrid
  2. 2 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

Revista:
Journal of Human Sport and Exercise: JHSE

ISSN: 1988-5202

Año de publicación: 2023

Volumen: 18

Número: 2

Páginas: 390-401

Tipo: Artículo

DOI: 10.14198/JHSE.2023.182.10 DIALNET GOOGLE SCHOLAR lock_openRUA editor

Otras publicaciones en: Journal of Human Sport and Exercise: JHSE

Resumen

This study sought to identify elite coaches’ perception of the importance of technical actions and the consideration of relative participation to measure individual volleyball players’ performance. An instrument was elaborated to gather the opinions of elite coaches on the importance of technical actions reported by the data volley (excluding setting), as well as considering relative participation. Twenty elite coaches with at least three years of experience in national teams or top leagues participated in the study. Variables considered in the study were analysed using descriptive statistics and reliability was measured with Cronbach’s α and McDonald’s Omega coefficients (> .70). The results assessed the importance of scoring actions, which received values of (1 point). All errors (terminal and continuity) were scored with (−1). Non-scoring actions were given values [.00, .80], except for poor attack (−.35), poor serve (−.60), free freeball (−.60) and reception free (−.50). Relative participation was considered according to the percentage of points and/or contacts played by each athlete. We concluded that for the player’s points and/or contacts, priority is given to actions that win points directly or are excellent, followed by those that contribute to building comfortable attacks, while penalising errors.

Referencias bibliográficas

  • Afonso, J., Mesquita, I., & Palao, J. M. (2005). Relationship between the use of commit-block and the numbers of blockers and block effectiveness. Int J Perform Anal Sport, 5(2), 36-45. https://doi.org/10.1080/24748668.2005.11868326
  • Araújo, R. M., Castro, J., Marcelino, R., & Mesquita, I. R. (2010). Relationship between the Opponent Block and the Hitter in Elite Male Volleyball. J Quant Anal Sports, 6(4). https://doi.org/10.2202/1559-0410.1216
  • Araújo, D., Couceiro, M., Seifert, L., Sarmento, H., & Davids, K. (2021). Artificial Intelligence in Sport Performance Analysis. Routledge. https://doi.org/10.4324/9781003163589
  • Benavente, J & Vilar, R (2009, 28 de Agosto). El Pase de Messi ya es medio gol. Público. Retrived from: https://www.publico.es/deportes/pase-messi-ya-medio-gol.html (Accessed 10/18/2022)
  • Bisagno, E., Morra, S., Basciano, M., Rosina, C., & Vitali, F. (2019). Assessing individual performance in team sports: A new method developed in youth volleyball. J Funct Morphol Kinesiol, 4(3), 53. https://doi.org/10.3390/jfmk4030053
  • Burroughs, B. (2018). Statistics and Baseball Fandom: Sabermetric Infrastructure of Expertise. Games Cult, 155541201878331. https://doi.org/10.1177/1555412018783319
  • Challoumas, D., & Artemiou, A. (2018). Predictors of Attack Performance in High-Level Male Volleyball Players. Int J Sports Physiol Perform, 13(9), 1230-1236. https://doi.org/10.1123/ijspp.2018-0125
  • Costa, G. D. C. T., 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. J. Phys. Educ, 27(1), 1-15. https://doi.org/10.4025/jphyseduc.v27i1.2152
  • Chen, W.-J., Jhou, M.-J., Lee, T.-S., & Lu, C.-J. (2021). Hybrid Basketball Game Outcome Prediction Model by Integrating Data Mining Methods for the National Basketball Association. Entropy, 23(4), 477. https://doi.org/10.3390/e23040477
  • Data Volley (2010). Data Volley System Valuation. Statistics and Analysis Software. Data Project S.L. Italy.
  • Drikos, S., Barzouka, K., Balasas, D. G., & Sotiropoulos, K. (2021). Effect of quality of opposition on game performance indicators in elite male volleyball. Int J Sports Sci Coach, 174795412110137. https://doi.org/10.1177/17479541211013701
  • Drikos, S., Kountouris, P., Laios, A., & Laios, Y. (2009). Correlates of Team Performance in Volleyball. Int J Perform Anal Sport, 9(2), 149-156. https://doi.org/10.1080/24748668.2009.11868472
  • Drikos, S., Sotiropoulos, K., Barzouka, K., & Angelonidis, Y. (2020). The contribution of skills in the interpretation of a volleyball set result with minimum score difference across genders. Int J Sports Sci Coach, 15(4), 542-551. https://doi.org/10.1177/1747954120930307
  • Duch, J., Waitzman, J. S., & Amaral, L. A. N. (2010). Quantifying the Performance of Individual Players in a Team Activity. PLoS ONE, 5(6), e10937. https://doi.org/10.1371/journal.pone.0010937
  • Dunn, T. J., Baguley, T., & Brunsden, V. (2013). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. Br. J. Psychol, 105(3), 399-412. https://doi.org/10.1111/bjop.12046
  • Duquette, C. M., Cebula, R. J., & Mixon, F. G. (2019). Major league baseball's Moneyball at age 15: a re-appraisal. Appl. Econ, 51(52), 5694-5700. https://doi.org/10.1080/00036846.2019.1617399
  • Fernández-Echeverria, C., Gil, A., Moreno, A., Claver, F., & Moreno, M. P. (2015). Analysis of the variables that predict serve efficacy in young volleyball players. Int J Perform Anal Sport, 15(1), 172-186. https://doi.org/10.1080/24748668.2015.11868785
  • Fernández-Echeverria, C., Mesquita, I., González-Silva, J., Claver, F., & Moreno, M. P. (2017). Match analysis within the coaching process: a critical tool to improve coach efficacy. Int J Perform Anal Sport, 17(1-2), 149-163. https://doi.org/10.1080/24748668.2017.1304073
  • Franks, A. M., D'Amour, A., Cervone, D., & Bornn, L. (2016). Meta-analytics: tools for understanding the statistical properties of sports metrics. J Quant Anal Sports, 12(4). https://doi.org/10.1515/jqas-2016-0098
  • 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. Int J Sports Sci Coach, 174795412210867. https://doi.org/10.1177/17479541221086779
  • Kubatko, J., Oliver, D., Pelton, K., & Rosenbaum, D. T. (2007). A Starting Point for Analyzing Basketball Statistics. J Quant Anal Sports, 3(3). https://doi.org/10.2202/1559-0410.1070
  • Laios, A., & Kountouris, P. (2010). Association Between The Line-Up Of The Players And The Efficiency Of The Serving Team In Volleyball. Int J Perform Anal Sport, 10(1), 1-8. https://doi.org/10.1080/24748668.2010.11868496
  • Lee, B. L., & Worthington, A. C. (2013). A note on the "Linsanity" of measuring the relative efficiency of National Basketball Association guards. Appl. Econ, 45(29), 4193-4202. https://doi.org/10.1080/00036846.2013.770125
  • Leys, C., Ley, C., Klein, O., Bernard, P., & Licata, L. (2013). Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median. J. Exp. Soc. Psychol, 49(4), 764-766. https://doi.org/10.1016/j.jesp.2013.03.013
  • Lyle, J. (2018). The Transferability of Sport Coaching Research: A Critical Commentary. Quest, 70(4), 419-437. https://doi.org/10.1080/00336297.2018.1453846
  • Marcelino, R., Mesquita, I., & Afonso, J. (2008). The weight of terminal actions in Volleyball. Contributions of the spike, serve and block for the teams' rankings in the World League 2005. Int J Perform Anal Sport, 8(2), 1-7. https://doi.org/10.1080/24748668.2008.11868430
  • Marmarinos, C., Bolatoglou, T., Karteroliotis, K., & Apostolidis, N. (2019). Structural validity and reliability of new index for evaluation of high-level basketball players. Int J Perform Anal Sport, 19(4), 624-631. https://doi.org/10.1080/24748668.2019.1644803
  • Millán-Sánchez, A., Morante Rábago, C. J., Álvarez, M., Fernia, 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. Int J Perform Anal Sport, 15(2), 608-619. https://doi.org/10.1080/24748668.2015.11868818
  • Miskin, M. A., Fellingham, G. W., & Florence, L. W. (2010). Skill Importance in Women's Volleyball. J Quant Anal Sports, 6(2). https://doi.org/10.2202/1559-0410.1234
  • Monteiro, R., Mesquita, I., & Marcelino, R. (2009). Relationship between the set outcome and the dig and attack efficacy in elite male Volleyball game. Int J Perform Anal Sport, 9(3), 294-305. https://doi.org/10.1080/24748668.2009.11868486
  • Nikos, B., Karolina, B., & Elissavet, N. M. (2009). Performance of male and female setters and attackers on Olympic-level volleyball teams. Int J Perform Anal Sport, 9(1), 141-148. https://doi.org/10.1080/24748668.2009.11868470
  • Palao, J. M., & Hernández-Hernández, E. (2014). Game statistical system and criteria used by Spanish volleyball coaches. Int J Perform Anal Sport, 14(2), 564-573. https://doi.org/10.1080/24748668.2014.11868743
  • Palao, J. M., Santos, J. A., & Ureña, A. (2004). Effect of team level on skill performance in volleyball. Int J Perform Anal Sport, 4(2), 50-60. https://doi.org/10.1080/24748668.2004.11868304
  • Quiroga, M. E., García-Manso, J. M., Rodríguez-Ruiz, D., Sarmiento, S., De Saa, Y., & Moreno, M. P. (2010). Relation between In-Game Role and Service Characteristics in Elite Womenʼs Volleyball. J. Strength Cond. Res, 24(9), 2316-2321. https://doi.org/10.1519/jsc.0b013e3181e3812e
  • Sánchez, J. M., Castellanos, P., & Dopico, J. A. (2007). The Winning Production Function: Empirical Evidence from Spanish Basketball. Eur.Sport Manag.Q., 7(3), 283-300. https://doi.org/10.1080/16184740701511177
  • Seldon, J. R. (1993). Efficacy, effectiveness and efficiency in human resource use: A primer on the three e's. Int. J. Public Adm., 16(7), 921-943. https://doi.org/10.1080/01900699308524829
  • Silva, M., Lacerda, D., & João, P. V. (2014). Game-Related Volleyball Skills that Influence Victory. J. Hum. Kinet., 41(1), 173-179. https://doi.org/10.2478/hukin-2014-0045
  • Silva, M., Sattler, T., Lacerda, D., & João, P. V. (2016). Match analysis according to the performance of team rotations in Volleyball. Int J Perform Anal Sport, 16(3), 1076-1086. https://doi.org/10.1080/24748668.2016.11868949
  • Swann, C., Moran, A., & Piggott, D. (2015). Defining elite athletes: Issues in the study of expert performance in sport psychology. Psychology of Sport and Exercise, 16(1), 3-14. https://doi.org/10.1016/j.psychsport.2014.07.004
  • Terner, Z., & Franks, A. (2021). Modeling Player and Team Performance in Basketball. Annu Rev Stat Appl, 8(1), 1-23. https://doi.org/10.1146/annurev-statistics-040720-015536
  • Valladares, N., García-Tormo, J. V., & João, P. V. (2016). Analysis of variables affecting performance in senior female volleyball World Championship 2014. Int J Perform Anal Sport, 16(1), 401-410. https://doi.org/10.1080/24748668.2016.11868895
  • Yiannis, L., & Panagiotis, K. (2005). Evolution in men's volleyball skills and tactics as evidenced in the Athens 2004 Olympic Games. Int J Perform Anal Sport, 5(2), 1-8. https://doi.org/10.1080/24748668.2005.11868322
  • Yu, Y., García-De-Alcaraz, A., Wang, L., & Liu, T. (2018). Analysis of winning determinant performance indicators according to teams level in Chinese women's volleyball. Int J Perform Anal Sport, 18(5), 750-763. https://doi.org/10.1080/24748668.2018.1517289
  • Zetou, E., Moustakidis, A., Tsigilis, N., & Komninakidou, A. (2007). Does Effectiveness of Skill in Complex I Predict Win in Men's Olympic Volleyball Games? J Quant Anal Sports, 3(4). https://doi.org/10.2202/1559-0410.1076
  • Zidane, Y. J.-T. ., & Olsson, N. O. E. (2017). Defining project efficiency, effectiveness and efficacy. Int. J. Manag. Proj. Bus, 10(3), 621-641. https://doi.org/10.1108/ijmpb-10-2016-0085
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