Attacking profiles of the best ranked teams from elite futsal leagues
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2019
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Frontiers Media S.A.
Citation
Méndez, C., Gonçalves, B., Santos, J., Ribeiro, & Travassos, B. (2019). Attacking profiles of the best ranked teams from elite futsal leagues. Frontiers in Psychology, 10: 1370. https://doi.org/10.3389/FPSYG.2019.01370
Abstract
This study aimed to (i) explore the discriminatory power of the task-related variables and the context in establishing differences in the elite futsal leagues of Portugal, Spain, and Russia and (ii) understand how these variables vary according to the match outcome. Methodological issues concerning efficiency (goals and shots), offensive organisation (positional attack, counterattack, set pieces, or 5vs4+Goalkeeper), 1st goal scored during matches (home or away team), match type (balanced or unbalanced), and match outcome (winner, loser, or drawer) were discussed. Archival data were obtained from the 2017-2018 season of Portuguese, Spanish, and Russian professional futsal leagues for all play-off matches. Crosstabs analysis was conducted to establish the significance relationship between the elite futsal leagues and the situational variables. Afterward, discriminant analysis was used to identify the task-related variables that maximise mean differences between different league teams for defining offensive profile, and the variations found when the condition of the winner, loser, or drawer is taken into account. The results allowed to understand that the Portuguese and Russian teams used the positional attacks more, and less the counterattacks and set pieces than the Spaniards, who present a more balanced offensive profile. Overall, winners were better discriminated by goals scored, whereas 5vs4+Goalkeeper strategy discriminated loser teams. Coaches should be aware of these different offensive profiles in order to increase control over the match planning and decrease predictability against opposing teams.
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This work was supported by University of Beira Interior and by national funding through the Foundation for Science and Technology (FCT, Portugal), under project UID/DTP/04045/2019.













