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Identifying the effects from the quality of opposition in a Football team positioning strategy

Author

Listed:
  • Julen Castellano
  • David álvarez
  • Bruno Figueira
  • Diogo Coutinho
  • Jaime Sampaio

Abstract

The present study aimed to identify the collective tactical decisions from a high-level football team, by analysing team length, width and surface area in offensive and defensive phase. The sample was composed by six competitive matches, played against stronger and weaker level opponents. Multidimensional qualitative data was obtained using a computerized match analysis system (AMISCO®). The data was analysed using non-linear signal processing tools, such as relative phase to access coordination modes between teams and approximate entropy (ApEn) to measure randomness in each time-series. The results allowed identifying higher offensive length, width and surface area frequencies when playing against weaker teams. On the other hand, higher defensive length, width and surface area frequencies were found against stronger teams. In addition, the ApEn results of surface area shown that tactical behaviour tends to be repeated during the match, both in offensive and defensive phase. The present results contributed to better understand the use of pitch space and the team strategic framework, helping coaches to improve the accuracy of strategic planning.

Suggested Citation

  • Julen Castellano & David álvarez & Bruno Figueira & Diogo Coutinho & Jaime Sampaio, 2013. "Identifying the effects from the quality of opposition in a Football team positioning strategy," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 13(3), pages 822-832, December.
    • Handle: RePEc:taf:rpanxx:v:13:y:2013:i:3:p:822-832
    DOI: 10.1080/24748668.2013.11868691
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    Cited by:

    1. Joaquín González-Rodenas & Rodrigo Aranda-Malaves & Andrés Tudela-Desantes & Félix Nieto & Ferran Usó & Rafael Aranda, 2020. "Playing tactics, contextual variables and offensive effectiveness in English Premier League soccer matches. A multilevel analysis," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-15, February.
    2. Julen Castellano & Miguel Pic, 2019. "Identification and Preference of Game Styles in LaLiga Associated with Match Outcomes," IJERPH, MDPI, vol. 16(24), pages 1-13, December.
    3. Fernando Manuel Otero-Saborido & Rubén D. Aguado-Méndez & Víctor M. Torreblanca-Martínez & José Antonio González-Jurado, 2021. "Technical-Tactical Performance from Data Providers: A Systematic Review in Regular Football Leagues," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    4. Bruno Gonçalves & Diogo Coutinho & Juliana Exel & Bruno Travassos & Carlos Lago & Jaime Sampaio, 2019. "Extracting spatial-temporal features that describe a team match demands when considering the effects of the quality of opposition in elite football," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-20, August.

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