IDEAS home Printed from https://ideas.repec.org/a/taf/rpanxx/v15y2015i3p997-1006.html
   My bibliography  Save this article

A competition analysis of the single and double disciplines in world-class badminton

Author

Listed:
  • Wolf Gawin
  • Chris Beyer
  • Marko Seidler

Abstract

Competition analyses in badminton commonly focus on the singles disciplines while relatively few studies deal with the demands of the doubles disciplines. Knowledge about the characteristics of the doubles disciplines, however, is essential for coaches in elite badminton in order to set up specific endurance training. For this purpose, the time structure of 50 matches of the world’s top ten players in the singles and doubles was investigated. The lowest work to rest ratios were observed in the doubles disciplines (approximately 20 %) except for the ladies’ doubles with 30.1 %. Furthermore, the ladies’ doubles consisted of the longest rallies on average (10.1 s) whilst the rest times did not differ significantly between the disciplines. The men’s and mixed doubles were characterized by the shortest mean rally times of 5.6-6.7 seconds and the highest number of shots per second. These empirical data confirmed the assumed differences between the ladies’ doubles and the other doubles disciplines. When setting up specific training drills the higher frequencies in the doubles disciplines should be taken into consideration. The most common work intervals of 6-10 seconds should be applied and drills with the longest possible work intervals should be incorporated into the specific endurance training.

Suggested Citation

  • Wolf Gawin & Chris Beyer & Marko Seidler, 2015. "A competition analysis of the single and double disciplines in world-class badminton," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 15(3), pages 997-1006, December.
  • Handle: RePEc:taf:rpanxx:v:15:y:2015:i:3:p:997-1006
    DOI: 10.1080/24748668.2015.11868846
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24748668.2015.11868846
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24748668.2015.11868846?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. Mario Terol-Sanchis & María José Gomis-Gomis & Carlos Elvira-Aranda & David Cabello-Manrique & José Antonio Pérez-Turpin, 2023. "AirBadminton for Physical Activity and Well-Being in Spanish Students: Post-COVID-19," IJERPH, MDPI, vol. 20(5), pages 1-12, February.
    2. Miguel-Ángel Gomez & Fernando Rivas & Jonathan D. Connor & Anthony S. Leicht, 2019. "Performance Differences of Temporal Parameters and Point Outcome Between Elite Men’s and Women’s Badminton Players According to Match-Related Contexts," IJERPH, MDPI, vol. 16(21), pages 1-18, October.
    3. Miguel A Gomez & Anthony S Leicht & Fernando Rivas & Philip Furley, 2020. "Long rallies and next rally performances in elite men’s and women’s badminton," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-16, March.
    4. Galeano, Javier & Gómez, Miguel-Ángel & Rivas, Fernando & Buldú, Javier M., 2022. "Using Markov chains to identify player’s performance in badminton," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    5. Gómez, Miguel A. & Cid, Adrián & Rivas, Fernando & Barreira, Júlia & Chiminazzo, João Guilherme Cren & Prieto, Jaime, 2021. "Dynamic analysis of scoring performance in elite men's badminton according to contextual-related variables," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    6. Gómez, Miguel–Ángel & Rivas, Fernando & Leicht, Anthony S. & Buldú, Javier M., 2020. "Using network science to unveil badminton performance patterns," Chaos, Solitons & Fractals, Elsevier, vol. 135(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:15:y:2015:i:3:p:997-1006. 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.