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Sveinn Þorgeirsson1,2, Aron Laxdal3, Olafur Sigurgeirsson4, Damir Sekulic2, Jose M. Saavedra1

1Physical Activity, Physical Education, Sport and Health Research Centre, Sports Science Department, School of Social Sciences, Reykjavik University, Reykjavik, Iceland
2Faculty of Kinesiology, Split, Croatia
3Department of Sport Science and Physical Education, University of Agder, Kristiansand, Norway
4HBStatz Company, Reykjavik, Iceland

Performance Profiling in Handball Using Discriminative Variables and its Practical Applications

Sport Mont 2023, 21(3), 3-8 | DOI: 10.26773/smj.231001


Performance profiles of teams performance highlight areas of weaknesses and strengths for coaches to inform their decision-making on how to spend their limited training time with athletes. This study used a stepwise discriminative analysis approach comparing one successful team’s (TEAM) performances through five consecutive seasons against a) other top four teams (TOP4) and b) teams with a final rank between 5th and eight (LOW) in a semi-professional league. The predictive model created was used to set forth a performance profile for the selected team. A total of 95 matches of the TEAM’s matches from the last five seasons are in the analysis. The objective was to create a performance profile with relevant performance indicators selected based on the discriminant analysis results of the selected TEAM and discuss its practical applicability. For matches against other TOP4 teams, the predictive model created consisted of three variables; legal stops, blocked shots and 9 m shots, classifying 72.6% correctly. The LOW ranked teams model had six variables and correctly classified 94.4% of cases (assists, blocked shots, legal stops, the goalkeeper saved shots, 2-minute exclusion, and shot efficiency). The selected variables are presented in Table 4, with medians and a 95% confidence interval of the median as a team performance profile. The profile provides the coaches with two models containing values that can serve as a reference for this team’s performance. The profile of this TEAM’s performances during the last five seasons generally aligns with the variables associated with success in other studies in female handball.


team performance profile, performance indicators, discriminative analysis, female handball

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Araújo, D., Brito, H., & Carrilho, D. (2022). Team decision-making behavior: An ecological dynamics approach. Asian Journal of Sport and Exercise Psychology, S2667239122000570. https://doi.org/10.1016/j.ajsep.2022.09.005

Button, C., Seifert, L., Chow, J. Y., Araujo, D., & Davids, K. (2021). Dynamics of skill acquisition: An ecological dynamics approach (Second edition). Human Kinetics, Inc.

de Paula, L. V., Costa, F. E., Ferreira, R. M., Menezes, R. P., Werneck, F. Z., Coelho, E. F., & Greco, P. J. (2020). Analysis of discriminatory game variables between winners and losers in women’s handball world championships from 2007 to 2017. Kinesiology, 52(1), 54–63. https://doi.org/10.26582/k.52.1.6

Fernández-Romero, J. J., Suárez, H. V., & Cancela, J. M. (2016). Anthropometric analysis and performance characteristics to predict selection in young male and female handball players. Motriz: Revista de Educação Física, 22, 0283–0289. https://doi.org/10.1590/S1980-6574201600040011

Foretic, N., Pavlinovic, V., & Spasic, M. (2022). Differences in Specific Power Performance among Playing Positions in Top Level Female Handball. Sport Mont, 20(1), 109–113. https://doi.org/10.26773/smj.220204

García-Sánchez, C., Navarro, R. M., Karcher, C., & de la Rubia, A. (2023). Physical Demands during Official Competitions in Elite Handball: A Systematic Review. International Journal of Environmental Research and Public Health, 20(4), Article 4. https://doi.org/10.3390/ijerph20043353

James, N., Mellalieu, S., & Jones, N. (2005). The development of position-specific performance indicators in professional rugby union. Journal of Sports Sciences, 23(1), 63–72. https://doi.org/10.1080/02640410410001730106

Kniubaite, A., Skarbalius, A., Clemente, F. M., & Conte, D. (2019). Quantification of external and internal match loads in elite female team handball. Biology of Sport, 36(4), 311–316. https://doi.org/10.5114/biolsport.2019.88753

Laxdal, A., & Ivarsson, A. (2023). Breaking up the play: The relationship between legal stops and winning in team handball. International Journal of Sports Science & Coaching, 18(1), 240–244. https://doi.org/10.1177/17479541211070787

Luteberget, L. S., & Spencer, M. (2017). High-Intensity Events in International Women’s Team Handball Matches. International Journal of Sports Physiology and Performance, 12(1), 56–61. https://doi.org/10.1123/ijspp.2015-0641

Mala, L., Maly, T., Zahalka, F., Bunc, V., Kaplan, A., Jebavy, R., & Tuma, M. (2015). Body Composition of Elite Female Players in Five Different Sports Games. Journal of Human Kinetics, 45(1), 207–215. https://doi.org/10.1515/hukin-2015-0021

Martin, D., Swanton, A., Bradley, J., & McGrath, D. (2018). The use, integration, and perceived value of performance analysis to professional and amateur Irish coaches. International Journal of Sports Science & Coaching, 13(4), 520–532. https://doi.org/10.1177/1747954117753806

Michalsik, L., & Aagaard, P. (2014). Physical demands in elite team handball: Comparisons between male and female players. The Journal of Sports Medicine and Physical Fitness, 55.

Michalsik, L. B., Aagaard, P., & Madsen, K. (2015). Technical Activity Profile and Influence of Body Anthropometry on Playing Performance in Female Elite Team Handball. The Journal of Strength & Conditioning Research, 29(4), 1126. https://doi.org/10.1519/JSC.0000000000000735

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

Moss, S. L., McWhannell, N., Michalsik, L. B., & Twist, C. (2015). Anthropometric and physical performance characteristics of top-elite, elite and non-elite youth female team handball players. Journal of Sports Sciences, 33(17), 1780–1789. https://doi.org/10.1080/02640414.2015.1012099

Naisidou, S., Kepesidou, M., Kontostergiou, M., & Zapartidis, I. (2017). Differences of physical abilities between successful and less successful young female athletes. Journal of Physical Education and Sport, 17(01). https://doi.org/10.7752/jpes.2017.01044

O’Donoghue, P. (2009). Research Methods for Sports Performance Analysis (0 ed.). Routledge. https://doi.org/10.4324/9780203878309

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, 4–14.

Saavedra, J. M., Halldórsson, K., Þorgeirsson, S., Einarsson, I. Þ., & Guðmundsdóttir, M. L. (2020). Prediction of Handball Players’ Performance on the Basis of Kinanthropometric Variables, Conditioning Abilities, and Handball Skills. Journal of Human Kinetics, 73(1), 229–239. https://doi.org/10.2478/hukin-2019-0147

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

Vila, H., Manchado, C., Rodriguez, N., Abraldes, J. A., Alcaraz, P. E., & Ferragut, C. (2012). Anthropometric Profile, Vertical Jump, and Throwing Velocity in Elite Female Handball Players by Playing Positions. The Journal of Strength & Conditioning Research, 26(8), 2146. https://doi.org/10.1519/JSC.0b013e31823b0a46

Þorgeirsson, S., Pic, M., Lozano, D., Sigurgeirsson, O., Sekulic, D., & Saavedra, J. M. (2022a). Gender-based differences in game-related statistics between winning and losing teams in an amateur handball league. Acta Gymnica, 52. https://doi.org/10.5507/ag.2022.001

Þorgeirsson, S., Pic, M., Lozano, D., Sigurgeirsson, O., Sekulic, D., & Saavedra, J. M. (2022b). The Difference between Winners and Losers in Balanced Handball Games in the Final 10 Minutes. Montenegrin Journal of Sports Science and Medicine, 11(2), 37–43. https://doi.org/10.26773/mjssm.220905

IX. Rules of the Game a) Indoor Handball. (2022). International Handball Federation. https://www.ihf.info/sites/default/files/2022-03/09A%20-%20Rules%20of%20the%20Game_Indoor%20Handball_E.pdf