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Examining the key performance indicators of all-star players and winning teams in elite futsal

Author

Listed:
  • João Santos
  • César Mendez-Domínguez
  • Célia Nunes
  • Miguel A. Gómez
  • Bruno Travassos

Abstract

Purpose: to identify the key performance indicators that discriminate all-star from non-all-star players; and to differentiate winning from drawing/losing teams during the Euro Cup 2018 Futsal (Slovenia). Methods: the sample consisted of all matches (n = 20) played by 12 teams (87 players). Differences between both players and teams were calculated using the Mann–Whitney U and student-t tests and the binary logistic regression (assessing the relationship between all-star players or winning teams and several match- and contextually based variables). Results: minutes per match, goals, assists, ball recoveries, % shots on target, % key pass accuracy, and % challenges won discriminated all-star from non-all-star players. However, only minutes per match (OR: 1.329), goals (OR: 13.547), and ball recoveries (OR: 2.136) per time played were determined to differentiate all-star players. Regarding the team analysis, the following variables discriminated winning from losing/drawing teams: goals, assists, % counterattack success, and % set pieces success. However, only goals (OR: 2.035) and % set piece success (OR: 1.076) predicted the match outcome. Conclusions: the current findings can help coaches to a better understanding of which key performance indicators are important out of all data available, contributing to defining priorities when training and managing competition in elite futsal.

Suggested Citation

  • João Santos & César Mendez-Domínguez & Célia Nunes & Miguel A. Gómez & Bruno Travassos, 2020. "Examining the key performance indicators of all-star players and winning teams in elite futsal," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 20(1), pages 78-89, January.
  • Handle: RePEc:taf:rpanxx:v:20:y:2020:i:1:p:78-89
    DOI: 10.1080/24748668.2019.1705643
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