IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i11p5922-d566438.html
   My bibliography  Save this article

Identification of Explanatory Variables in Possession of the Ball in High-Performance Women’s Football

Author

Listed:
  • Rubén Maneiro

    (Department of Science of Physical Activity and Sport, Pontifical University of Salamanca, 37007 Salamanca, Spain)

  • José Luís Losada

    (Department of Social Psychology and Quantitative Psychology, University of Barcelona, 08001 Barcelona, Spain)

  • Claudio A. Casal

    (Department of Science of Physical Activity and Sport, Catholic University of Valencia “San Vicente Mártir”, 46900 Valencia, Spain)

  • Antonio Ardá

    (Department of Physical and Sport Education, University of A Coruña, 15172 A Coruña, Spain)

Abstract

Women’s football is a phenomenon that is experiencing an unstoppable increase in recent years. The objective of this study was to analyze how ball possessions are performed in high-performance women’s football. For this, the 52 matches played by all the national teams participating in the Women’s World Cup 2015 were analyzed. A total of 3740 ball possessions were examined. Using the “move outcome” variable as a reference criterion, a statistically significant relationship was found between possessions that ended in success and possessions that have failed. Specifically, the successful possessions were those that were made in the offensive zone, with a clear intention to progress towards the rival goal, with a low number of passes, and made in the second half of the matches. The results of the logistic regression showed that the proposed model is statistically significant, with an acceptable explanatory capacity. Finally, the results of the decision tree evidence the success of those possessions aiming at a quick completion, with very few passes and the offensive zone as a priority area for the possession.

Suggested Citation

  • Rubén Maneiro & José Luís Losada & Claudio A. Casal & Antonio Ardá, 2021. "Identification of Explanatory Variables in Possession of the Ball in High-Performance Women’s Football," IJERPH, MDPI, vol. 18(11), pages 1-14, May.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:5922-:d:566438
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/11/5922/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/11/5922/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel Link & Martin Hoernig, 2017. "Individual ball possession in soccer," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-15, July.
    2. P. D. Jones & N. James & S. D. Mellalieu, 2004. "Possession as a performance indicator in soccer," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 4(1), pages 98-102, August.
    3. Paulo Paixão & Jaime Sampaio & Carlos H. Almeida & Ricardo Duarte, 2015. "How does match status affects the passing sequences of top-level European soccer teams?," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 15(1), pages 229-240, March.
    4. Alliance Kubayi & Paul Larkin, 2020. "Technical performance of soccer teams according to match outcome at the 2019 FIFA Women’s World Cup," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 20(5), pages 908-916, September.
    5. Stijn Baert & Simon Amez, 2018. "No better moment to score a goal than just before half time? A soccer myth statistically tested," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    6. Mohsen Shafizadeh & Shirley Gray & John Sproule & Terry McMorris, 2012. "An exploratory analysis of losing possession in professional soccer," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 12(1), pages 14-23, April.
    7. Javier Fernandez-Navarro & Luis Fradua & Asier Zubillaga & Allistair P. McRobert, 2018. "Influence of contextual variables on styles of play in soccer," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 18(3), pages 423-436, May.
    8. Rubén Maneiro & Claudio A Casal & Antonio Ardá & José Luís Losada, 2019. "Application of multivariant decision tree technique in high performance football: The female and male corner kick," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.
    9. Subirana, Isaac & Sanz, Héctor & Vila, Joan, 2014. "Building Bivariate Tables: The compareGroups Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 57(i12).
    Full references (including those not matched with items on IDEAS)

    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. Iyán Iván-Baragaño & Rubén Maneiro & José L. Losada & Antonio Ardá, 2021. "Multivariate Analysis of the Offensive Phase in High-Performance Women’s Soccer: A Mixed Methods Study," Sustainability, MDPI, vol. 13(11), pages 1-16, June.
    2. 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.
    3. Gomez, Miguel-Angel & Reus, Marc & Parmar, Nimai & Travassos, Bruno, 2020. "Exploring elite soccer teams’ performances during different match-status periods of close matches’ comebacks," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    4. 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.
    5. De Meyere, Arne & Vanruymbeke, Ward & Baert, Stijn, 2018. "Player Dismissal and Full Time Results in the UEFA Champions League and Europa League," IZA Discussion Papers 11722, Institute of Labor Economics (IZA).
    6. A. Tenga & A. Mortensholm & P. O’Donoghue, 2017. "Opposition interaction in creating penetration during match play in elite soccer: evidence from UEFA champions league matches," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(5), pages 802-812, September.
    7. Tullio Facchinetti & Rodolfo Metulini & Paola Zuccolotto, 2023. "Filtering active moments in basketball games using data from players tracking systems," Annals of Operations Research, Springer, vol. 325(1), pages 521-538, June.
    8. Vogel, Everton & Beber, Caetano Luiz, 2021. "Sustainable Intensification Strategies for GHG Mitigation Among Heterogeneous Dairy Farms in Paraná, Brazil," 2021 Conference, August 17-31, 2021, Virtual 315219, International Association of Agricultural Economists.
    9. Rubén Maneiro & José Luís Losada & Mariona Portell & Antonio Ardá, 2021. "Observational Analysis of Corner Kicks in High-Level Football: A Mixed Methods Study," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
    10. van Damme, Nils & Baert, Stijn, 2019. "Home advantage in European international soccer: Which dimension of distance matters?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-17.
    11. Gong, Bingnan & Zhou, Changjing & Gómez, Miguel-Ángel & Buldú, J.M., 2023. "Identifiability of Chinese football teams: A complex networks approach," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    12. Andrea Albanese & Stijn Baert & Olivier Verstraeten, 2020. "Twelve eyes see more than eight. Referee bias and the introduction of additional assistant referees in soccer," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-15, February.
    13. Nimai Parmar & Nic James & Mike Hughes & Huw Jones & Gary Hearne, 2017. "Team performance indicators that predict match outcome and points difference in professional rugby league," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(6), pages 1044-1056, November.
    14. Philippe Meier & Maximilian Rüdisser & Raphael Flepp & Egon Franck, 2019. "The advantage of scoring just before the halftime break – pure myth? Quasi-experimental evidence from European football," Working Papers 382, University of Zurich, Department of Business Administration (IBW).
    15. 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.
    16. Jarvandi Ali & Sarkani Shahram & Mazzuchi Thomas, 2013. "Modeling team compatibility factors using a semi-Markov decision process: a data-driven approach to player selection in soccer," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(4), pages 347-366, December.
    17. Kylie Garratt & Aron Murphy & Rob Bower, 2017. "Passing and goal scoring characteristics in Australian A-League football," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(1-2), pages 77-85, March.
    18. Claudio A. Casal & José L. Losada & Daniel Barreira & Rubén Maneiro, 2021. "Multivariate Exploratory Comparative Analysis of LaLiga Teams: Principal Component Analysis," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
    19. Simon Amez & Stijn Baert & Brecht Neyt & Maarten Vandemaele, 2020. "No evidence for second leg home advantage in recent seasons of European soccer cups," Applied Economics Letters, Taylor & Francis Journals, vol. 27(2), pages 156-160, January.
    20. Li, Yuesen & Ma, Runqing & Gonçalves, Bruno & Gong, Bingnan & Cui, Yixiong & Shen, Yanfei, 2020. "Data-driven team ranking and match performance analysis in Chinese Football Super League," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).

    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:gam:jijerp:v:18:y:2021:i:11:p:5922-:d:566438. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.