A holistic performance assessment of English Premier League football clubs 1992-2013

PLUMLEY, Daniel James, WILSON, Robert and SHIBLI, Simon (2017). A holistic performance assessment of English Premier League football clubs 1992-2013. Journal of Applied Sport Management, 9 (1).

[img]
Preview
PDF
plumley Holistic performance assessment of English Premier League football clubs.pdf - Accepted Version
All rights reserved.

Download (489kB) | Preview
[img] PDF (Acceptance email)
Plumley 12550.pdf
Restricted to Repository staff only

Download (99kB)
Official URL: http://js.sagamorepub.com/jasm/article/view/7353
Related URLs:

    Abstract

    This paper devises and tests a statistical model (the PAM) to measure the financial and sporting performance of professional football clubs. The PAM has been applied to a longitudinal data set of English football clubs (21 clubs between 1992-2013) to identify trends in performance. The results show that a small number of clubs have created an imbalance within English football and that there has been evidence of a 'financial crisis' at individual clubs. For the majority of clubs, overall performance appears to vary over time in cycles. In addition to measuring holistic performance of professional football clubs in England, the paper has developed a statistically robust model that progresses research in the field. This new model has the potential to be adapted to fit other professional team sports to test league viability. It can also be used by the clubs themselves to set objectives and to analyse performance against competitors.

    Item Type: Article
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Sport Industry Research Centre
    Identification Number: https://doi.org/10.18666/JASM-2017-V9-I1-7353
    Depositing User: Dan Plumley
    Date Deposited: 20 Jul 2016 11:36
    Last Modified: 18 Mar 2021 11:43
    URI: http://shura.shu.ac.uk/id/eprint/12550

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics