IDEAS home Printed from
   My bibliography  Save this article

Moneyball Applied: Econometrics and the Identification and Recruitment of Elite Australian Footballers


  • Mark F. Stewart

    () (RMIT University)

  • Heather Mitchell

    () (RMIT University)

  • Constantino Stavros

    () (RMIT University)


The best selling book Moneyball posited a theory on the success of a Major League Baseball franchise that used detailed match data to identify inefficiencies in the market for professional baseball players. These statistics were then exploited to the advantage of that team. An important part of this strategy involved using mathematical techniques to identify which player statistics were most associated with team success, and then using these results to decide which players to recruit. This paper uses a similar approach to analyze elite Australian Football, making use of various types of regression models to identify and quantify the important player statistics in terms of their affect on match outcomes.

Suggested Citation

  • Mark F. Stewart & Heather Mitchell & Constantino Stavros, 2007. "Moneyball Applied: Econometrics and the Identification and Recruitment of Elite Australian Footballers," International Journal of Sport Finance, Fitness Information Technology, vol. 2(4), pages 231-248, November.
  • Handle: RePEc:jsf:intjsf:v:2:y:2007:i:4:p:231-248

    Download full text from publisher

    File URL:
    Download Restriction: Full-text download requires subscription from FIT.

    As the access to this document is restricted, you may want to search for a different version of it.


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

    Cited by:

    1. Ross Booth, 2009. "Sports Economics," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 42(3), pages 377-385.

    More about this item


    Moneyball; Australian Football; sports statistics;

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism


    Access and download statistics


    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:jsf:intjsf:v:2:y:2007:i:4:p:231-248. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Victor Matheson). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.