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Developing a Football Tactical Metric to Estimate the Sectorial Lines: A Case Study

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Computational Science and Its Applications – ICCSA 2014 (ICCSA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8579))

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Abstract

The aim of this study was to propose a new tactical metric that characterises teammates’ organisation within a tactical sector. This metric was developed based on the Cartesian information of football players’ location at each second of three official matches. From the tracking procedures, 9218 moments were collected which were then organised into defensive (without possession of the ball) and attacking (with possession of the ball) instants. Significant differences were found between the two statuses of the possession of the ball for the defensive line (F (1, 9216) = 44.520; p-value = 0.001; η 2 = 0.005; Power = 1.000) and forward line (F (1, 9216) = 26.175; p-value = 0.001; η 2 = 0.000; Power = 0.108). From the specific results of this case study, it was possible to propose a new concept to help coaches observe a match with some tactical parameters that can allow a quicker identification of team properties.

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Author information

Authors and Affiliations

  1. Instituto de Telecomunicações, Delegação da Covilhã, Portugal

    Filipe Manuel Clemente & Fernando Manuel Lourenço Martins

  2. ESEC, DE, Polytechnic Institute of Coimbra, Portugal

    Filipe Manuel Clemente, Fernando Manuel Lourenço Martins & Rui Sousa Mendes

  3. Faculty of Sport Sciences and Physical Education, University of Coimbra, Portugal

    Filipe Manuel Clemente & António José Figueiredo

  4. Artificial Perception for Intelligent Systems and Robotics (AP4ISR), Institute of Systems and Robotics (ISR), University of Coimbra, Portugal

    Micael Santos Couceiro

  5. Ingeniarius Lda., Mealhada, Portugal

    Micael Santos Couceiro

  6. CIDAF, Faculty of Sport Sciences and Physical Education, University of Coimbra, Portugal

    António José Figueiredo

Authors
  1. Filipe Manuel Clemente
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  2. Fernando Manuel Lourenço Martins
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  3. Micael Santos Couceiro
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  4. Rui Sousa Mendes
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  5. António José Figueiredo
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Editor information

Editors and Affiliations

  1. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  4. DICAR, Polytecnico di Bari, 70125, Bari, Italy

    Carmelo Torre

  5. University of Minho, Braga, Portugal

    Jorge Gustavo Rocha  & Maria Irene Falcão  & 

  6. Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

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© 2014 Springer International Publishing Switzerland

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Clemente, F.M., Martins, F.M.L., Couceiro, M.S., Mendes, R.S., Figueiredo, A.J. (2014). Developing a Football Tactical Metric to Estimate the Sectorial Lines: A Case Study. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8579. Springer, Cham. https://doi.org/10.1007/978-3-319-09144-0_51

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  • DOI: https://doi.org/10.1007/978-3-319-09144-0_51

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09143-3

  • Online ISBN: 978-3-319-09144-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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