IDEAS home Printed from https://ideas.repec.org/a/bla/econpa/v29y2010i4p407-420.html

Optimal Bonus Points in the Australian Football League

Author

Listed:
  • Liam J. A. Lenten
  • Niven Winchester

Abstract

Bonus point systems are a popular tournament design feature in some sports. We consider a bonus point system for the Australian Football League (AFL). In this paper, we utilise league points as a measure of team strength in a prediction model and choose the allocation of points to maximise prediction accuracy. For AFL data extending over seasons 1997-2008, we determine a bonus points system that does a better job at revealing strong teams than the current allocation of league points. We conclude that there is considerable scope for the introduction bonus points to improve tournament design in the AFL.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Liam J. A. Lenten & Niven Winchester, 2010. "Optimal Bonus Points in the Australian Football League," Economic Papers, The Economic Society of Australia, vol. 29(4), pages 407-420, December.
  • Handle: RePEc:bla:econpa:v:29:y:2010:i:4:p:407-420
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lenten, Liam J.A. & Smith, Aaron C.T. & Boys, Noel, 2018. "Evaluating an alternative draft pick allocation policy to reduce ‘tanking’ in the Australian Football League," European Journal of Operational Research, Elsevier, vol. 267(1), pages 315-320.
    2. Wright, Mike, 2014. "OR analysis of sporting rules – A survey," European Journal of Operational Research, Elsevier, vol. 232(1), pages 1-8.

    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    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:bla:econpa:v:29:y:2010:i:4:p:407-420. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/esausea.html .

    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.