IDEAS home Printed from https://ideas.repec.org/a/taf/rpanxx/v1y2001i1p83-90.html
   My bibliography  Save this article

Designing observational systems to support top-level teams in game sports

Author

Listed:
  • Martin Lames
  • Gunnar Hansen

Abstract

Any observational system can be considered as the result of a model building process. In order to validate this process one has to ask whether the model contains the essential attributes of the original (here: the game sport observed). Or does the model contain abundant features which do not correspond to properties of the original? Mathematically spoken, one has to examine the validity of the bi-directional relation between model and original.Only recently, game sports research has become aware, that another aspect of the model building process had perhaps not been paid enough attention to: the purpose of the model. In short this means that there is not the model of tennis or soccer, but for different purposes different models serve best. There is a wide variety of purposes for observational systems in game sports: Measuring individual performance, physical loads, tactical solutions for special situations, studies of the interactions between and within the teams, discover talents, decision making of coaches or theoretical interest in the structure of games.In order to support top-level teams two purposes are dominant: preparation against an opponent and gaining information to support onès own training process. An analysis of these tasks reveals that in order to become practically relevant a multi-step process has to be passed, which relies to a great extent on the quality of inferences drawn. This basically interpretative processing of observational data in order to achieve the goals in top-sports has led to the development of “Qualitative Game Analysis”, which applies the principles of qualitative research methodology to game observation.Deriving conclusions from behaviour in games documented on videos is seen much in the same way as deriving the central statements of an author from a large number of pages in several books. Today’s technology allows for the first time the processing of pictures almost in the same way as text sources.A hard- and software solution for “Qualitative Game Analysis” was developed. The preparation of top-level German beach-volleyball teams was accompanied for three years. A large amount of experience was gained in the way how to gain information for onès own training process and in preparation for matches to come. The bronze medal surprisingly won by a German male team at Sydney has seen an intensive support with “Qualitative Game Analysis” before and especially during the Olympics which of course does not allow any inferences on the scientific quality of the method!

Suggested Citation

  • Martin Lames & Gunnar Hansen, 2001. "Designing observational systems to support top-level teams in game sports," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 1(1), pages 83-90, July.
  • Handle: RePEc:taf:rpanxx:v:1:y:2001:i:1:p:83-90
    DOI: 10.1080/24748668.2001.11868251
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24748668.2001.11868251
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24748668.2001.11868251?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:1:y:2001:i:1:p:83-90. 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.