IDEAS home Printed from https://ideas.repec.org/a/taf/rpanxx/v21y2021i6p909-921.html
   My bibliography  Save this article

Impact of technical and physical key performance indicators on ball possession in the Chinese Super League

Author

Listed:
  • Bingnan Gong
  • Yixiong Cui
  • Shaoliang Zhang
  • Changjing Zhou
  • Qing Yi
  • Miguel-Ángel Gómez-Ruano

Abstract

Ball possession an important key performance indicator (KPIs) in men’s soccer; thus, coaches and analysts have been interested in the technical and physical parameters resulting in different possession statuses. In this regard, this study aims to examine the relationship between match KPIs and ball possession in elite men’s soccer, and identify the suitable analysis method (multiple linear regression, MLR vs. quantile regression, QR) to model this relationship in the Chinese Super League (CSL). A total of 474 performance records from 237 matches during the 2019 competitive season in the CSL were selected, and analysed using MLR and QR using the 10th, 25th, 50th, 75th, and 90th quantiles. Several technical (foul, pass, air duel, tackle, shot, and corner kick) and physical (sprint and high-speed running distance) KPIs were associated with ball possession. Compared to the MLR model, the QR model identified additional physical KPIs, which are sprint, high-speed running, and high-intensity running efforts, that influenced ball possession. For the situational variables, the quality of the opposition affects the ball possession from the 25th to 75th quantiles. Therefore, QR modelling is a potential tool for performance analysts and coaches to strategise and monitor different parameters in a match.

Suggested Citation

  • Bingnan Gong & Yixiong Cui & Shaoliang Zhang & Changjing Zhou & Qing Yi & Miguel-Ángel Gómez-Ruano, 2021. "Impact of technical and physical key performance indicators on ball possession in the Chinese Super League," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 21(6), pages 909-921, November.
  • Handle: RePEc:taf:rpanxx:v:21:y:2021:i:6:p:909-921
    DOI: 10.1080/24748668.2021.1957296
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24748668.2021.1957296
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24748668.2021.1957296?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Novillo, Álvaro & Gong, Bingnan & Martínez, Johann H. & Resta, Ricardo & del Campo, Roberto López & Buldú, Javier M., 2024. "A multilayer network framework for soccer analysis," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    2. 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).

    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:taf:rpanxx:v:21:y:2021:i:6:p:909-921. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RPAN20 .

    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.