IDEAS home Printed from https://ideas.repec.org/a/taf/rpanxx/v18y2018i1p115-126.html
   My bibliography  Save this article

Playing unpredictably: measuring the entropy of ball trajectories in international women’s basketball

Author

Listed:
  • Wade Hobbs
  • Stuart Morgan
  • Adam D. Gorman
  • Mitchell Mooney
  • Jonathan Freeston

Abstract

It is generally accepted that playing unpredictable basketball is advantageous, however this strategic assumption has not been adequately tested. The aim of this study was to describe unpredictability of in-play ball movement trajectories during a selection of women’s international basketball games to determine the association, if any, between unpredictability and success in basketball. Ball movements were tracked for 60 international women’s basketball games over a two-year period. Ball movements were broken into five-second play segments and the spatial distribution of the ball was tracked across the court. Shannon’s entropy was then used to estimate the relative variability in ball movements. While no differences in entropy were observed between teams, the overall analysis revealed that entropy during large-deficit games (score differential of 10 points or more) was greater than that for small-deficit games and large-deficit wins showed greater entropy than large-deficit losses. Additionally, the entropy in the frontcourt (the scoring end for a given team) was significantly greater for wins compared to losses. This suggests that higher entropy may be associated with success in basketball, but more specifically, entropy in the frontcourt is potentially where it matters most.

Suggested Citation

  • Wade Hobbs & Stuart Morgan & Adam D. Gorman & Mitchell Mooney & Jonathan Freeston, 2018. "Playing unpredictably: measuring the entropy of ball trajectories in international women’s basketball," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 18(1), pages 115-126, January.
  • Handle: RePEc:taf:rpanxx:v:18:y:2018:i:1:p:115-126
    DOI: 10.1080/24748668.2018.1453639
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24748668.2018.1453639
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24748668.2018.1453639?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.

    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:1:p:115-126. 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.