IDEAS home Printed from https://ideas.repec.org/a/taf/rpanxx/v19y2019i3p289-301.html
   My bibliography  Save this article

Exploring home advantage and quality of opposition interactions in the Chinese Football Super League

Author

Listed:
  • Tianbiao Liu
  • Antonio García-De-Alcaraz
  • Liang Zhang
  • Yao Zhang

Abstract

The purpose of this study was to explore the influence of quality of opposition and match location on game-related statistics in the Chinese Football Super League (CSL). Seven hundred and twenty matches from season 2014 to 2016 of CSL were analysed and all teams were classified into two groups according to their final rankings at the end of each season. The game-related statistics were divided into goal scored, offensive, defensive, and physical variables. Mann–Whitney U-test with effect size at 95% of confidence interval, and Discriminant analyses were used. Results showed a home advantage (HA) near 60%. In addition, home teams showed significantly higher average values in performance indicators regardless of the team’s quality, especially in goal (score: 1.55 vs. 1.22; ES = 0.27 ± 0.10, and shots: 13.29 vs. 11.01; ES = 0.47 ± 0.10) and offence variables (possession: 0.51 vs. 0.49; ES = 0.33 ± 0.10). According to quality of opposition, superior teams played better at home in attacking categories like goal scored (1.83 vs. 1.39; ES = 0.34 ± 0.15) and offensive (possession: 0.53 vs. 0.51; ES = 0.33 ± 0.14). In conclusion, superior and inferior teams experience HA differently. These findings can help coaches to manage their team’s performance according to the contextual variables that influence on performance, especially about match location and quality of opposition.Abbreviations: Home advantage (HA); Chinese Football Super League (CSL)

Suggested Citation

  • Tianbiao Liu & Antonio García-De-Alcaraz & Liang Zhang & Yao Zhang, 2019. "Exploring home advantage and quality of opposition interactions in the Chinese Football Super League," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 19(3), pages 289-301, May.
    • Handle: RePEc:taf:rpanxx:v:19:y:2019:i:3:p:289-301
    DOI: 10.1080/24748668.2019.1600907
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24748668.2019.1600907
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/24748668.2019.1600907?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. 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).
    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:19:y:2019:i:3:p:289-301. 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.