Analysis of the effectiveness of the offensive game model in elite handball

Contributors
Iván González-García Luis Casáis Martínez
DOI icon https://doi.org/10.36386/sajrsper.v45i3.128
Abstract

The aim of the study was to identify the success variables associated with the level of efficiency established using an offensive game model during the second phase of the 2013 World Handball Championship for men in Spain. Sixteen matches were selected and 1925 units of observation were analysed, of which 8095 events were recorded using the HandballTAS tool (Handball Tactic Analysis System). The variables analysed to determine offensive effectiveness were individual actions, offensive punishment, degree of opposition, field area, location, numerical situation, and duration. The data were subjected to multivariate analysis in the form of binary logistic regression and classification tree. The classification and regression model correctly classified 81.6% of the dependent variables on offensive effectiveness (assist and numerical situation, p<0.05; field area and location, p<0.001). Offensive effectiveness increases with an assist (53%) and decreases with a shot from the wing-shots (53%), and with a 9-metre shot (65%) compared with a 6-metre shot. In respect of location, efficacy was reduced by 69% with shots in the middle zone of the goal when compared with shots in the lower zone. The probability of success was reduced by 49% in the warning of the passive play situation and 43% in the inferiority situation compared to the equality situation.

References
  1. ALEXANDRU, E.; ALEXANDRU, A. & ION, M. (2009). The quantitative model of the finalizations in men’s competitive handball and their efficiency. Citius Altius Fortius, 24(3): 151-157. https://efsupit.ro/images/stories/imgs/JPES/2009/21%20acsinte.pdf
  2. ALMEIDA, A.G.; MERLIN, M.; PINTO, A.; CUNHA, S.A. & TORRES, R.D.S. (2020). Performance-level indicators of male elite handball teams. International Journal of Performance Analysis in Sport, 20(1): 1-9. https://doi.org/10.1080/24748668.2019.1694305
  3. BELCIC, I. & SPORIS, G. (2012). Differences between parameters of situational efficiency according to the level of competition in Croatian Handball leagues (case study). Acta Kinesiologica, 6(1): 39-44. https://www.researchgate.net/publication/331833923
  4. BILGE, M. (2012). Game analysis of Olympic, World and European Championships in men’s handball. Journal of Human Kinetics, 35(1): 109-118. https://doi.org/10.2478/v10078-012-0084-7
  5. DUMANGANE, M.; ROSATI, N. & VOLOSSOVITCH, A. (2009). Departure from independence and stationarity in a handball match. Journal of Applied Statistics, 36(7): 723. https://doi.org/10.1080/02664760802499329
  6. FERRARI, W.R.; SARMENTO, H. & VAZ, V. (2019). Match analysis in handball: A systematic review. Montenegrin Journal of Sports Science and Medicine, 8(2): 63-73. https://doi.org/10.26773/mjssm.190909
  7. FORETIĆ, N.; ROGULJ, N. & PAPIĆ, V. (2013). An empirical model for evaluating situational efficiency in top-level handball. International Journal of Performance Analysis in Sport, 13(2): 275-293. https://doi.org/10.1080/24748668.2013.11868648
  8. FORETIĆ, N.; ROGULJ, N. & TRNINIĆ, M. (2010). The influence of situation efficiency on the result of a handball match. Sport Science, 3(2): 45-51. https://www.researchgate.net/publication/228793924
  9. FRANKS, I.M. & HUGHES, M. (2004). Notational analysis of sport. Journal of Sports Science and Medicine, 3(2): 1-304. https://doaj.org/article/c18cbbe7e9c74c229ea05d5a62199883
  10. FRANKS, I.M. & McGARRY, T. (1996). The science of match analysis. In T. Reilly (Ed.), Science and Soccer (pp. 363-375). London: E&FN Spon.
  11. GÓMEZ, M.A.; LAGO-PEÑAS, C.; VIAÑO, J. & GONZÁLEZ-GARCÍA, I. (2014). Effects of game location, team quality and final outcome on game-related statistics in professional handball close games. Kinesiology, 46(2): 249-257. https://hrcak.srce.hr/en/file/194851
  12. GONZÁLEZ-GARCÍA, I.; CASÁIS, L.; VIAÑO, J. & GÓMEZ, M.A. (2016). Inter-observer reliability of a real-time observation tool in handball. International Journal of Kinesiology & Sports Science, 4(4): 1-9. http://dx.doi.org/10.7575/aiac.ijkss.v.4n.4p.1
  13. GRUIČ, I.; VULETA, D. & MILANOVIČ, D. (2006). Performance indicators of teams at the 2003 Men’s World Handball Championship in Portugal. Kinesiology, 38(2): 164-173. https://hrcak.srce.hr/en/file/15721
  14. HANSEN, C.; SANZ-LOPEZ, F.; WHITELEY, R.; POPOVIC, N.; AHMED, H.A. & CARDINALE, M. (2017). Performance analysis of male handball goalkeepers at the World Handball Championship 2015. Biology of Sport, 34(4): 393-400. https://doi.org/10.5114/biolsport.2017.69828
  15. HOPKINS, W.G. (2006). Spreadsheets for analysis of controlled trials, with adjustment for a subject characteristic. Sportscience, 10: 46-50. https://sportsci.org/2017/wghxls.htm
  16. HUGHES, M.D. & BARTLETT, R.M. (2002). The use of performance indicators in performance analysis. Journal of Sports Sciences, 20(10): 739-754. https://doi.org/10.1080/026404102320675602
  17. HUGHES, M.; FRANKS, I.M. & FRANKS, I.M. (2015). Essentials of performance analysis in sport. Routledge. https://doi.org/10.4324/9780429340130
  18. KARASTERGIOS, A.; SKANDALIS, V.; ZAPARTIDIS, I. & HATZIMANOUIL, D. (2017). Determination of technical actions that differentiate winning from losing teams in woman’s handball. Journal of Physical Education and Sport, 17(3): 1966-1969. https://doi.org/10.7752/jpes.2017.03194
  19. LAGO, J.; LAGO, C.; REY, E.; CASÁIS, L. & DOMÍNGUEZ, E. (2012). El éxito ofensivo en el fútbol de élite. Influencia de los modelos tácticos empleados y de las variables situacionales. Motricidad: European Journal of Human Movement, 28: 145-170. https://dialnet.unirioja.es/servlet/catart?codigo=4775121
  20. LAGO-PEÑAS, C.; GÓMEZ, A.M.; VIAÑO, J.; GONZÁLEZ-GARCÍA, I. & FERNÁNDEZ-VILLARINO, M.A. (2013). Home advantage in elite handball: The impact of the quality of opposition on team performance. International Journal of Sports Performance Analysis in Sport, 13(3): 724-733. https://doi.org/10.1080/24748668.2013.11868684
  21. MELETAKOS, P.; BAYIOS, I. & VAGENAS, G. (2011). A multivariate assessment of offensive performance indicators in Men’s Handball: Trends and differences in the World Championships. International Journal of Performance Analysis in Sport, 11(2): 284-294. https://doi.org/10.1080/24748668.2011.11868548
  22. MILANOVIĆ, D.; VULETA, D. & OHNJEC, K. (2018). Performance indicators of winning and defeated female handball teams in matches of the 2012 Olympic Games Tournament. Journal of Human Kinetics, 64(1): 247-253. https://doi.org/10.1515/hukin-2017-0198
  23. OHNJEC, K.; VULETA, D.; MILANOVIČ, D. & GRUIČ, I. (2008). Performance indicators of teams at the 2003 World Handball Championship for women in Croatia. Kinesiology, 40(1): 69-79. https://hrcak.srce.hr/en/24835
  24. PRUDENTE, J.N.; CARDOSO, A.R.; RODRIGUES, A.J. & SOUSA, D.F. (2019). Analysis of the influence of the numerical relation in handball during an organized attack, specifically the tactical behavior of the center back. Frontiers in Psychology, 10(2451): 1-7. https://doi.org/10.3389/fpsyg.2019.02451
  25. PRUDENTE, J.; SOUSA, D.; SEQUEIRA, P.; LÓPEZ-LÓPEZ, J.A. & HERNÁNDEZ-MENDO, A. (2017). Analyzing the influence of playing time and partial score on the tactical behavior in the duel 2 vs 2 in the offensive process in handball, using the polar coordinates technique. Anales de Psicología, 33(3): 515-529. https://doi.org/10.6018/analesps.33.3.271071
  26. ROGULJ, N. (2000). Differences in situation-related indicators of the handball game in relation to the achieved competitive results of teams at 1999 World Championship in Egypt. Kinesiology, 32(2): 63-74. https://hrcak.srce.hr/256975
  27. ROGULJ, N.; SRHOJ, V. & SRHOJ, L. (2004). The contribution of collective attack tactics in differentiating handball score efficiency. Collegium Antropologicum, 28(2): 739-746. https://hrcak.srce.hr/file/8749
  28. SAAVEDRA, J.M.; PIC, M.; JIMÉNEZ, F.; LOZANO, D. & KRISTJÁNSDÓTTIR, H. (2019). Relationship between game-related statistics in elite men’s beach handball and the final result: A classification tree approach. International Journal of Performance Analysis in Sport, 19(4): 584-594. https://doi.org/10.1080/24748668.2019.1642040
  29. SAAVEDRA, J.M.; ÞORGEIRSSON, S.; CHANG, M.; KRISTJÁNSDÓTTIR, H. & GARCÍA-HERMOSO, A. (2018). Discriminatory power of women’s handball game-related statistics at the Olympic Games (2004-2016). Journal of Human Kinetics, 62(1): 221-229. https://doi.org/10.1515/hukin-2017-0172
  30. SAMPAIO, J. & JANEIRA, M. (2003). Statistical analyses of basketball team performance: Understanding teams’ wins and losses according to a different index of ball possessions. International Journal of Performance Analysis in Sport, 3(1): 40-49. https://doi.org/10.1080/24748668.2003.11868273
  31. SEVIM, Y. & BILGE, M. (2007). The comparison of the Last Olympic, World and European Men Handball Championships and the current developments in World Handball. Research Yearbook, 13(1): 65-71. https://www.researchgate.net/publication/273636414
  32. SKARBALIUS, A.; PUKÉNAS, K. & VIDŨNAITÉ, G. (2013). Sport performance profile in Men´s European modern handball: Discriminant analysis between winners and losers. Baltic Journal of Sport and Health Sciences, 3(90). https://doi.org/10.33607/bjshs.v3i90.168
  33. SKARBALIUS, A.; STRIELCIUNAS, R. & PURVYS, D. (2004). The playing peculiarities of Lithuanian Men’s Handball National Team in the qualification of World Championship XVIII. Education. Physical Training, Sport, 3(53): 43-49. https://sponet.fi/Record/4009999
  34. SRHOJ, V.; ROGULJ, N.; PADOVAN, M. & KATIĆ, R. (2001). Influence of the attack end conduction on match result in handball. Collegium Antropologicum, 2: 611-617. https://hrcak.srce.hr/file/44648
  35. TRNINIĆ, S.; PAPIĆ, V. & TRNINIĆ, M. (2011). Hypothetical structure of interaction of factors that determine situation-related efficacy and actual player and team quality. Acta Kinesiologica, 4(2): 49-56. https://sponet.de/Record/4025451
  36. VOLOSSOVITCH, A. & GONÇALVES, I. (2003). The significance of game indicators for winning and losing team in handball. In E. Müller, H. Schwameder, G. Zallinger & V. Fastenbauer (Eds.), Proceedings of the 8th Annual Congress of European College of Sport Science (p. 335). Salzburg: ECSS.
  37. VOLOSSOVITCH, A.; DUMANGANE, M. & ROSATI, N. (2010). The influence of the pace of match on the dynamic of handball game. International Journal of Sport Psychology, 41(4): 117.
  38. VULETA, D.; SPORIŠ, G.; VULETA Jr., D.; PURGAR, B.; HERCEG, Z. & MILANOVIĆ, Z. (2012). Influence of attacking efficiency on the outcome of handball matches in the preliminary round of Men’ s Olympic Games 2008. Sport Science, 5(2): 7-12. https://bib.irb.hr/datoteka/615321.Manuscript_4.pdf
  39. VULETA, D.; MILANOVIĆ, D. & SERTIĆ, H. (2003). Relations among variables of shooting for a goal and outcomes of the 2000 Men’s European Handball Championship matches. Kinesiology, 35(2): 168-183. https://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=330418

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