Success factors in national team football: an analysis of the UEFA EURO 2020

Abstract: Identifying success factors in football is of sporting and economic interest. However, research in this field for national teams and their competitions is rare despite the popularity of teams and events. Therefore, we analyze data for the UEFA EURO 2020 and, for comparison purposes, the previous tournament in 2016. To mitigate the challenges of perceived multicollinearity and a small sample size, and to identify the relevant variables, we apply the ‘LASSO Cross-fitted Stability-Selection’ algorithm. This approach involves iterative splitting of data, with variables chosen via a ‘least absolute shrinkage and selection operator’ (LASSO) model (Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. J. Roy. Stat. Soc. B 58: 267–288) on one half of the observations, while coefficients are estimated on the other half. Subsequently, we inspect the frequency of selection and stability of coefficient estimation for each variable over the repeated samples to identify factors as relevant. By that, we are able to differentiate generally valid success factors such as the market value ratio from on-field variables whose importance is tournament-dependent, e.g. the tackles attempted. As the latter is connected to a team’s tactics, we conclude that their observed relevance is correlated to the results of the linked playing style in the specific tournaments. We also show the changing effect of these playing-styles on success across tournaments.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Success factors in national team football: an analysis of the UEFA EURO 2020 ; volume:21 ; number:1 ; year:2025 ; pages:73-95 ; extent:23
Journal of quantitative analysis in sports ; 21, Heft 1 (2025), 73-95 (gesamt 23)

Creator
Renner, Vincent
Görgen, Konstantin
Woll, Alexander
Wäsche, Hagen
Schienle, Melanie

DOI
10.1515/jqas-2023-0026
URN
urn:nbn:de:101:1-2503120549327.344754646145
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:24 AM CEST

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Associated

  • Renner, Vincent
  • Görgen, Konstantin
  • Woll, Alexander
  • Wäsche, Hagen
  • Schienle, Melanie

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