Trends of the fast game in men’s EHF European handball championships

  1. Dimitris Hatzimanouil 1
  2. Afroditi Lola 1
  3. George Giatsis 1
  4. José Antonio Pérez Turpin 2
  5. Vasilis Scandalis 1
  6. Magdalini Kepesidou 3
  1. 1 Aristotle University of Thessaloniki
    info

    Aristotle University of Thessaloniki

    Salónica, Grecia

    ROR https://ror.org/02j61yw88

  2. 2 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

  3. 3 National and Kapodistrian University of Athens
    info

    National and Kapodistrian University of Athens

    Atenas, Grecia

    ROR https://ror.org/04gnjpq42

Mostrar afiliaciones +
Revista:
Journal of Human Sport and Exercise: JHSE

ISSN: 1988-5202

Año de publicación: 2024

Volumen: 19

Número: 1

Páginas: 68-82

Tipo: Artículo

DIALNET GOOGLE SCHOLAR lock_openRUA editor

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

Resumen

The aim of this study was to measure the effect of fast play on a handball team’s performance by assessing ranking in three European Men’s Championships (Euro 2018, 2020, 2022) as a dependent variable. The independent variables indicating fast play were the ranking of the team in the tournament, total fast breaks (TFB) per match played, successful fast breaks (SFB) per match played, total fast throw-offs (TFTO) per match played, and successful fast throw-offs (SFTO) per match played. Analyses for each tournament included descriptive statistics, correlation analyses between team ranking and TFB, SFB, TFTO, and SFTO per match played, and hierarchical regression analyses to identify whether the independent variables could predict team ranking in a tournament. TFB and SFB per match played were statistically significant predictors of tournament placement for all three European tournaments examined. Euro 2018 scored the highest team ranking prediction for both TFB and SFB. However, TFTO and SFTO per match played were not significant predictors of tournament placement in all three tournaments. In conclusion, the TFB and SFB per match played were statistically significant predictors of tournament placement.

Referencias bibliográficas

  • Acsinte, A., & Alexandru, E. (2014). Comparative study regarding the effectiveness of the representative junior handball teams' shots at the goal during international competitions. Gymnasium, 15(1).
  • Bajgoric, S., Rogulj, N., Cavala, M., & Burger, A. (2017). Difference in attack situational activity indicators between successful and less successful teams in elite men's handball. Sport Sciences for Health, 13(3), 515-519. https://doi.org/10.1007/s11332-017-0348-7
  • Balagué, N., & Torrents, C. (2005). Thinking before computing: changing approaches in sports performance. International Journal of Computer Science in Sport, 4(1), 5-13.
  • Belcic, I., Rodić, S., Dukarić, V., Rupčić, T., & Knjaz, D. (2021). Do blood lactate levels affect the kinematic patterns of jump shots in handball? International Journal of Environmental Research and Public Health, 18(20), 10809. https://doi.org/10.3390/ijerph182010809
  • Bilge, M. (2012). Game analysis of Olympic, World and European Championships in men's handball. Journal of Human Kinetics, 35, 109. https://doi.org/10.2478/v10078-012-0084-7
  • Bojić, I., Stojiljković, N., Valdevit, Z., Veličković, M., & Nikolić, D. (2020). Changes in speed, agility and body composition of top-ranked female handball players during the playing season. Facta Universitatis, Series: Physical Education and Sport, 515-522. https://doi.org/10.22190/FUPES191205045B
  • Ćeleš, N., Karalić, T., Kurtović, N., & Sinoforoglu, T. (2019). The influence of situation efficiency of goal shooting on results of handball matches of the first phase of the World U19 Championship 2019. Sportski Logos, 17(31).
  • de Paula, L. V., Costa, F. E., Mello, R., Menezes, R. P., Filipino, E. C., Werneck, F., & Greco, P. (2020). Analysis of discriminatory game variables between winners and losers in women's handball world championships from 2007 to 2017: Discriminatory variables in women's handball championships. Kinesiology, 52(01), 54-63. https://doi.org/10.26582/k.52.1.6
  • Ferrari W, Sarmento H, Marques A, Dias G, Sousa T, Sánchez-Miguel PA, Gama J and Vaz V (2022) Influence of tactical and situational variables on offensive sequences during elite European handball matches. Front. Psychol., 13:861263. https://doi.org/10.3389/fpsyg.2022.861263
  • Ferrari, W., Dias, G., Sousa, T., Sarmento, H., & Vaz, V. (2020). Comparative analysis of the offensive effectiveness in winner and losing handball teams. Frontiers in Psychology, 11, 547110. https://doi.org/10.3389/fpsyg.2020.547110
  • Field, A. (2009). Discovering statistics using SPSS (2nd ed.). Sage Publications Ltd.
  • Garganta, J. (2009). Trends of tactical performance analysis in team sports: bridging the gap between research, training and competition. Revista Portuguesa de Ciências do Desporto, 9(1), 81-89. https://doi.org/10.5628/rpcd.09.01.81
  • Ghervan, P., & Dariusz, N. (2011). Growth factors for the rhythm of handball game objective priority for national handball team of seniors. The Annals of the "Stefan cel Mare" University, IV(1), 57-62.
  • Gümüş, H., & Gençoğlu, C. (2020). The effects of the goalkeeper substitution rule as a new strategy in handball: Analysis of Men's European Handball Championship 2020. Acta Gymnica, 50(3). https://doi.org/10.5507/ag.2020.015
  • Hatzimanouil, D., Giatsis, G., Kepesidou, M., Kanioglou, A., & Loizos, N. (2017). Shot effectiveness by playing position with regard to goalkeeper's efficiency in team handball. Journal of Physical Education and Sport, 17(2), 656.
  • Ilić, I., Stanković, V., & Ilić, H. S. (2020). The Frequency of Technical and Tactical Offensive Actions of Elite Serbian Handball Teams. Gymnasium, 21(2 (Supplement)), 92-96. https://doi.org/10.29081/gsjesh.2020.21.2s.07
  • International Handball Federation. IX Rules of the Game a) Indoor Handball. Edition: 1 March 2022) Retrieved from: https://www.ihf.info/sites/default/files/2022-03/09A%20-%20Rules%20of%20the%20Game_Indoor%20Handball_E.pdf. [Accesed 09/20/2023]
  • Lames, M., & Hansen, G. (2001). Designing observational systems to support top-level teams in game sports. International Journal of Performance Analysis in Sport, 1(1), 83-90. https://doi.org/10.1080/24748668.2001.11868251
  • Leuciuc, F. V. (2012). Study on the efficiency of the teams participating in the men's Handball European Championship. Annals of "Dunarea de Jos" University of Galati. Fascicle XV, Physical Education and Sport Management, 2, 88-92.
  • Marczinka, Z., & Gál, A. (2018). The chain reaction between the media and sport. the impact of rule changes in Handball. Physical Culture and Sport, 80(1), 39-47. https://doi.org/10.2478/pcssr-2018-0024
  • McGarry, T., Anderson, D., Wallace, S., Hughes, M., & Franks, I. (2002). Sport competition as a dynamical self-organizing system. Journal of Sports Sciences, 20(10), 771-781. https://doi.org/10.1080/026404102320675620
  • Meletakos, P. G., Noutsos, K. S., & Bayios, I. A. (2020). Stable and changing characteristics of high-level handball as evidenced from World Men's Championships. Journal of Physical Education and Sport, 20(3), 1354-1361.
  • Michalsik, L. B. (2018). On-Court physical demands and physiological aspects in elite team handball. In L. Laver, P. Landreau, R. Seil, & N. Popovic (Eds.) Handball Sports Medicine (pp. 15-33). Springer. https://doi.org/10.1007/978-3-662-55892-8_2
  • Ohnjec, K., Vuleta, D., Dizdar, D., & Milanovic, D. (2015). Structural analysis of counter-attacks performed at the 2010 European handball championship for women. Sport Sci, 8(2), 69-75.
  • Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge. https://doi.org/10.4324/9781003117407
  • Pfeiffer, M., & Perl, J. (2006). Analysis of tactical structures in team handball by means of artificial neural networks. International Journal of Computer Science in Sport, 5(1), 4-14.
  • Pokrajac B. (2008). Analysis, discussion, comparison, tendencies in modern handball. World Handball Magazine, 1-15.
  • Prieto, J., Gómez, M. Á., & Sampaio, J. (2015). From a static to a dynamic perspective in handball match analysis: A systematic review. The Open Sports Sciences Journal, 8(1), 25-34. https://doi.org/10.2174/1875399X01508010025
  • Przednowek, K., Śliż, M., Lenik, J., Dziadek, B., Cieszkowski, S., Lenik, P., …& Przednowek, K. (2019). Psychomotor abilities of professional handball players. International Journal of Environmental Research and Public Health, 16(11), 1909. https://doi.org/10.3390/ijerph16111909
  • Rogulj, N., and Srhoj, V. (2009). The influence of the elements of the collective attack tactics on handball match outcome. Fiz. Kult., 37, 15.
  • Rogulj, N., Srhoj, V., and Srhoj, L. (2004). The contribution of collective attack tactics in differentiating handball score efficiency. Coll. Antropol., 28, 739-746.
  • Rogulj, N., Vuleta, D., Milanovic, D., Cavala, M., and Foretic, N. (2011). The efficiency of elements of collective attack tactics in handball. Kinesiol. Slov., 17, 5-14.
  • Saavedra, J.M., Porgeirsson, S., Kristjánsdóttir, H., Chang, M., & Halldórsson, K. (2017). Handball game-related statistics in men at Olympic Games (2004-2016): Differences and discriminatory power. Retos, 32(2), 260-263. https://doi.org/10.47197/retos.v0i32.56542
  • Silva, A. S., Maroja, G. A. B., & Silva, J. A. (2021). Characterization of the" fast throw-off after goal" in the European men's championship 2018. e-balonmano.com: Revista de Ciencias del Deporte, 17(3), 163-170.
  • Skoufas, D. (2019). Comparison of the last five world championships in men's handball. "GYMNASIUM" - Scientific Journal of Education, Sports, and Health, 1(IKEEART-2019-1736).
  • Williams, A. M., Reilly, T., & Carling, C. (2005). Handbook of Soccer Match Analysis. Routledge.
Fuente de los datos: Dialnet