Armchair fans: Modelling audience size for televised football matches

Babatunde Buraimo, David Forrest, Ian G. McHale and Juan de Dios Tena

European Journal of Operational Research, 2022, vol. 298, issue 2, 644-655

Abstract: Modelling audience size for televised football matches has utility for a number of stakeholders. In the short-term it can inform the choice of broadcasters as to which matches to show and decisions of firms regarding how much to bid for advertising slots during the game. For elite clubs and leagues, for which television rights is their principal source of revenue, it offers a means of understanding which match characteristics will draw the largest audience and this should inform long-term decisions on how to structure their competitions. The paper argues that previous modelling in this area has typically depended on an inappropriate measure of audience size and unsatisfactory metrics to capture important match characteristics such as the quality of the talent on show and the significance of the match for the championship or relegation. In contrast to this prior literature, the present paper draws on sport analytics to derive its measures of player talent and match significance. This makes a material difference to findings from modelling audience size for 790 English Premier League matches between 2013 and 2019. For example, it identifies elevated interest for matches potentially significant for end-of-season outcomes. This has implications when organisers consider the optimal structure of the competition and revenue sharing arrangements between member clubs of the league. For the wider television industry, we show that measurement of audience size (and some results from modelling) are sensitive to whether focus is on the whole programme or just its core content (in this case the match itself).

Keywords: OR in sports; Sport analytics; Football; Television audience (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221721005622
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:298:y:2022:i:2:p:644-655

DOI: 10.1016/j.ejor.2021.06.046

Access Statistics for this article

European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().