IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0180773.html
   My bibliography  Save this article

Dynamics of tactical behaviour in association football when manipulating players' space of interaction

Author

Listed:
  • Angel Ric
  • Carlota Torrents
  • Bruno Gonçalves
  • Lorena Torres-Ronda
  • Jaime Sampaio
  • Robert Hristovski

Abstract

The analysis of positional data in association football allows the spatial distribution of players during matches to be described in order to improve the understanding of tactical-related constraints on the behavioural dynamics of players. The aim of this study was to identify how players’ spatial restrictions affected the exploratory tactical behaviour and constrained the perceptual-motor workspace of players in possession of the ball, as well as inter-player passing interactions. Nineteen professional outfield male players were divided into two teams of 10 and 9 players, respectively. The game was played under three spatial constraints: a) players were not allowed to move out of their allocated zones, except for the player in possession of the ball; b) players were allowed to move to an adjacent zone, and; c) non-specific spatial constraints. Positional data was captured using a 5 Hz interpolated GPS tracking system and used to define the configuration states of players for each second in time. The configuration state comprised 37 categories derived from tactical actions, distance from the nearest opponent, distance from the target and movement speed. Notational analysis of players in possession of the ball allowed the mean time of ball possession and the probabilities of passing the ball between players to be calculated. The results revealed that the players’ long-term exploratory behaviour decreased and their short-term exploration increased when restricting their space of interaction. Relaxing players’ positional constraints seemed to increase the speed of ball flow dynamics. Allowing players to move to an adjacent sub-area increased the probabilities of interaction with the full-back during play build-up. The instability of the coordinative state defined by being free from opponents when players had the ball possession was an invariant feature under all three task constraints. By allowing players to move to adjacent sub-areas, the coordinative state became highly unstable when the distance from the target decreased. Ball location relative to the scoring zone and interpersonal distance constitute key environmental information that constrains the players’ coordinative behaviour. Based on our results, dynamic overlap is presented as a good option to capture tactical performance. Moreover, the selected collective (i.e. relational) variables would allow coaches to identify the effects of training drills on teams and players’ behaviour. More research is needed considering these type variables to understand how the manipulation of constraints induce a more stable or flexible dynamical structure of tactical behaviour.

Suggested Citation

  • Angel Ric & Carlota Torrents & Bruno Gonçalves & Lorena Torres-Ronda & Jaime Sampaio & Robert Hristovski, 2017. "Dynamics of tactical behaviour in association football when manipulating players' space of interaction," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-16, July.
  • Handle: RePEc:plo:pone00:0180773
    DOI: 10.1371/journal.pone.0180773
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0180773
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0180773&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0180773?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jaime Sampaio & Tim McGarry & Julio Calleja-González & Sergio Jiménez Sáiz & Xavi Schelling i del Alcázar & Mindaugas Balciunas, 2015. "Exploring Game Performance in the National Basketball Association Using Player Tracking Data," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-14, July.
    2. Nic James, 2006. "Notational analysis in soccer: past, present and future," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 6(2), pages 67-81, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jonas Lutz & Daniel Memmert & Dominik Raabe & Rolf Dornberger & Lars Donath, 2019. "Wearables for Integrative Performance and Tactic Analyses: Opportunities, Challenges, and Future Directions," IJERPH, MDPI, vol. 17(1), pages 1-26, December.
    2. Marius Ötting & Dimitris Karlis, 2023. "Football tracking data: a copula-based hidden Markov model for classification of tactics in football," Annals of Operations Research, Springer, vol. 325(1), pages 167-183, June.
    3. Valerio Ficcadenti & Roy Cerqueti & Ciro Hosseini Varde’i, 2023. "A rank-size approach to analyse soccer competitions and teams: the case of the Italian football league “Serie A"," Annals of Operations Research, Springer, vol. 325(1), pages 85-113, June.
    4. Ricardo Ferraz & Bruno Gonçalves & Diogo Coutinho & Rafael Oliveira & Bruno Travassos & Jaime Sampaio & Mário C. Marques, 2020. "Effects of Knowing the Task’s Duration on Soccer Players’ Positioning and Pacing Behaviour during Small-Sided Games," IJERPH, MDPI, vol. 17(11), pages 1-12, May.
    5. Bruno Gonçalves & Diogo Coutinho & Bruno Travassos & Hugo Folgado & Pedro Caixinha & Jaime Sampaio, 2018. "Speed synchronization, physical workload and match-to-match performance variation of elite football players," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-16, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Juan M. García-Ceberino & Antonio Antúnez & Sebastián Feu & Sergio J. Ibáñez, 2020. "Quantification of Internal and External Load in School Football According to Gender and Teaching Methodology," IJERPH, MDPI, vol. 17(1), pages 1-18, January.
    2. Ângelo Brito & Paulo Roriz & Pedro Silva & Ricardo Duarte & Júlio Garganta, 2017. "Effects of pitch surface and playing position on external load activity profiles and technical demands of young soccer players in match play," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(6), pages 902-918, November.
    3. Jorge Serna & Verónica Muñoz-Arroyave & Jaume March-Llanes & M. Teresa Anguera & Queralt Prat & Aaron Rillo-Albert & David Falcón & Pere Lavega-Burgués, 2021. "Effect of Ball Screen and One-on-One on the Level of Opposition and Effectiveness of Shots in the ACB," IJERPH, MDPI, vol. 18(5), pages 1-16, March.
    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.
    5. Feng Li & Damir Knjaz & Tomislav Rupčić, 2021. "Influence of Fatigue on Some Kinematic Parameters of Basketball Passing," IJERPH, MDPI, vol. 18(2), pages 1-10, January.
    6. Kęstutis Matulaitis & Tomas Bietkis, 2021. "Prediction of Offensive Possession Ends in Elite Basketball Teams," IJERPH, MDPI, vol. 18(3), pages 1-11, January.
    7. Sergio J Ibáñez & Aitor Mazo & Juarez Nascimento & Javier García-Rubio, 2018. "The Relative Age Effect in under-18 basketball: Effects on performance according to playing position," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-11, July.
    8. Eduard Pons & Tomás García-Calvo & Ricardo Resta & Hugo Blanco & Roberto López del Campo & Jesús Díaz García & Juan José Pulido, 2019. "A comparison of a GPS device and a multi-camera video technology during official soccer matches: Agreement between systems," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-12, August.
    9. Yixiong Cui & Miguel-Ángel Gómez & Bruno Gonçalves & Hongyou Liu & Jaime Sampaio, 2017. "Effects of experience and relative quality in tennis match performance during four Grand Slams," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(5), pages 783-801, September.
    10. Shun-Chuan Chang, 2018. "Capability and opportunity in hot shooting performance: Evidence from top-scoring NBA leaders," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-14, February.
    11. Shaoliang Zhang & Miguel Ángel Gomez & Qing Yi & Rui Dong & Anthony Leicht & Alberto Lorenzo, 2020. "Modelling the Relationship between Match Outcome and Match Performances during the 2019 FIBA Basketball World Cup: A Quantile Regression Analysis," IJERPH, MDPI, vol. 17(16), pages 1-11, August.
    12. Rafael Martínez-Gallego & Jesús Ramón-Llin & Miguel Crespo, 2021. "A Cluster Analysis Approach to Profile Men and Women’s Volley Positions in Professional Tennis Matches (Doubles)," Sustainability, MDPI, vol. 13(11), pages 1-9, June.
    13. Athalie J Redwood-Brown & Peter G O’Donoghue & Alan M Nevill & Chris Saward & Caroline Sunderland, 2019. "Effects of playing position, pitch location, opposition ability and team ability on the technical performance of elite soccer players in different score line states," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-21, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0180773. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.