IDEAS home Printed from https://ideas.repec.org/a/taf/rpanxx/v18y2018i2p262-272.html
   My bibliography  Save this article

Association between serve speed and court surface in tennis

Author

Listed:
  • Frantisek Vaverka
  • Jiri Nykodym
  • Jan Hendl
  • Jiri Zhanel
  • David Zahradnik

Abstract

The aim of the study was to determine whether the serve speed differs between Grand Slam tournaments (GSTs) played on different court surfaces. The study was carried out for both men and women (n = 70–98) who participated in four of the GSTs in 2008, 2012 and 2016 (Australian Open, French Open, Wimbledon and US Open). The following serve-speed parameters were obtained from the official GST websites: the speed of the fastest serve (FS), the average speed of the first serve in a given match (S1) and the average speed of the second serve in a given match (S2). Statistical analysis was performed using a mixed linear model procedure (NCSS 2007, Keysville, UT). FS varied irregularly, but it did not differ significantly between GSTs in the three observed years. The values of S1 and S2 for both men and women were highest in WIM in all three years, and were significantly higher than the other variables measured at the other GSTs. An association between serve speed and tennis court surface was confirmed only for S1 and S2 at fast grass court surfaces at WIM in the period 2008–2016.

Suggested Citation

  • Frantisek Vaverka & Jiri Nykodym & Jan Hendl & Jiri Zhanel & David Zahradnik, 2018. "Association between serve speed and court surface in tennis," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 18(2), pages 262-272, March.
    • Handle: RePEc:taf:rpanxx:v:18:y:2018:i:2:p:262-272
    DOI: 10.1080/24748668.2018.1467995
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24748668.2018.1467995
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/24748668.2018.1467995?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. Yan Chen & Qiang Du & Xiyang Yin & Renjie Fu & Yiyun Zhu, 2023. "Stress Analysis of the Radius and Ulna in Tennis at Different Flexion Angles of the Elbow," Mathematics, MDPI, vol. 11(16), pages 1-17, August.

    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:18:y:2018:i:2:p:262-272. 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.