IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v40y2024i1p302-312.html
   My bibliography  Save this article

Forecasting football match results using a player rating based model

Author

Listed:
  • Holmes, Benjamin
  • McHale, Ian G.

Abstract

The paper presents a model for forecasting the results of football matches, which takes into account the abilities of the players on each team. The advantage of this approach is that the dynamic nature of team strengths is incorporated into the model directly. We test our model against the bookmaker’s predictions and in a Kelly-type betting strategy applied to the pre-match win/draw/loss market. The new model results in significant positive returns to betting.

Suggested Citation

  • Holmes, Benjamin & McHale, Ian G., 2024. "Forecasting football match results using a player rating based model," International Journal of Forecasting, Elsevier, vol. 40(1), pages 302-312.
  • Handle: RePEc:eee:intfor:v:40:y:2024:i:1:p:302-312
    DOI: 10.1016/j.ijforecast.2023.03.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S016920702300033X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijforecast.2023.03.002?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.

    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:eee:intfor:v:40:y:2024:i:1:p:302-312. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijforecast .

    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.