Bundesliga team values: Deciphering the impact of performance and economics
Efehan Ulas and
Christian Deutscher
PLOS ONE, 2024, vol. 19, issue 12, 1-19
Abstract:
Despite experiencing a dip during the COVID-19 pandemic, football remains a robust multi-billion-euro industry. The accurate prediction of team values holds immense significance for teams, investors, and other stakeholders. In this research, we delve into the determinants of German Bundesliga team values, encompassing performance-based metrics, macroeconomic indicators, and demographic statistics. Leveraging machine learning and dynamical linear methods, we construct a comprehensive model for Bundesliga team values. Our findings not only illuminate team performance on and off the field but also offer vital insights to guide decisions and navigate the complexities of the fiercely competitive football industry.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0312810 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 12810&type=printable (application/pdf)
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:plo:pone00:0312810
DOI: 10.1371/journal.pone.0312810
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().