Author
Listed:
- José Gama
(Faculty of Sports Sciences and Physical Education, University of Coimbra, 3040-248 Coimbra, Portugal
CIPER, Faculty of Human Kinetics, University of Lisbon (UID/06349/2025), 1499-002 Lisbon, Portugal
Laboratório RoboCorp, IIA, Instituto Politécnico de Coimbra, 3040-256 Coimbra, Portugal)
- Gonçalo Dias
(CIPER, Faculty of Human Kinetics, University of Lisbon (UID/06349/2025), 1499-002 Lisbon, Portugal
Laboratório RoboCorp, IIA, Instituto Politécnico de Coimbra, 3040-256 Coimbra, Portugal
Polytechnic Institute of Coimbra, Coimbra Education School, Rua Dom João III—Solum, 3030-329 Coimbra, Portugal
SPRINT—Sport Physical Activity and Health Research & Innovation Center (UID/6185/2023), Av. Dr. Mário Soares N.° 110, 2040-413 Rio Maior, Portugal)
- Rodrigo Mendes
(Faculty of Sports Sciences and Physical Education, University of Coimbra, 3040-248 Coimbra, Portugal
Polytechnic Institute of Coimbra, Coimbra Education School, Rua Dom João III—Solum, 3030-329 Coimbra, Portugal
ESEC-UNICID-ASSERT–Applied Sport Sciences Research Unit (UNICID-ASSERT), Coimbra Education School, Polytechnic University of Coimbra, 3040-256 Coimbra, Portugal)
- Fernando Martins
(Polytechnic Institute of Coimbra, Coimbra Education School, Rua Dom João III—Solum, 3030-329 Coimbra, Portugal
SPRINT—Sport Physical Activity and Health Research & Innovation Center (UID/6185/2023), Av. Dr. Mário Soares N.° 110, 2040-413 Rio Maior, Portugal
inED-Centre for Research & Innovation in Education, Polytechnic University of Coimbra, 3045-093 Coimbra, Portugal
Instituto de Telecomunicações, Delegação da Covilhã, 6201-001 Covilhã, Portugal)
- Rui Sousa Mendes
(CIPER, Faculty of Human Kinetics, University of Lisbon (UID/06349/2025), 1499-002 Lisbon, Portugal
Laboratório RoboCorp, IIA, Instituto Politécnico de Coimbra, 3040-256 Coimbra, Portugal
Polytechnic Institute of Coimbra, Coimbra Education School, Rua Dom João III—Solum, 3030-329 Coimbra, Portugal
SPRINT—Sport Physical Activity and Health Research & Innovation Center (UID/6185/2023), Av. Dr. Mário Soares N.° 110, 2040-413 Rio Maior, Portugal)
- Vasco Vaz
(Faculty of Sports Sciences and Physical Education, University of Coimbra, 3040-248 Coimbra, Portugal
CIPER, Faculty of Human Kinetics, University of Lisbon (UID/06349/2025), 1499-002 Lisbon, Portugal)
Abstract
This study quantified performance indicators associated with match outcomes among champion teams from the five major European football leagues during the 2023–2024 season. Ordinal logistic regression with robust standard errors clustered by team was employed, with analyses stratified by match location (home/away) and opponent quality (high/medium/low). Data from 182 matches were sourced from Wyscout ® and included offensive indicators (possession, passes, shots, shots on target, expected goals) and defensive indicators (interceptions, fouls, shots conceded, yellow and red cards). Spearman correlations showed that goals scored ( q = 0.523 ) and shots on target ( q = 0.243 ) were positively associated with match outcomes, whereas goals conceded ( q = − 0.441 ) and fouls ( q = − 0.255 ) were negatively associated. Ordinal regression revealed context-dependent effects. Offensively, shots on target increased the odds of a better outcome at home (OR = 3.76) and against high-quality opponents (OR = 5.24), while expected goals (xG) was the key predictor in away matches (OR = 2.09). Defensively, interceptions were crucial against high-quality opponents (OR = 1.76), while fouls (OR = 0.53) and yellow cards (OR = 0.61) were detrimental against medium-quality opponents. Against low-quality opponents, shots on target conceded (OR = 0.22) and red cards (OR = 66.58) were critical. Volume-based indicators did not retain significant independent effects. For elite champion teams, competitive success is predominantly determined by efficiency-based indicators, shot accuracy, expected goals, and defensive organisation, whose relevance varies systematically with context. These findings provide exploratory insights and a context-sensitive benchmark for performance analysis at the highest level of European football, warranting further validation in future studies.
Suggested Citation
José Gama & Gonçalo Dias & Rodrigo Mendes & Fernando Martins & Rui Sousa Mendes & Vasco Vaz, 2026.
"Quantifying the Key Performance Indicators of Success: An Exploratory Analysis of Champion Teams in Europe’s Top Football Leagues,"
Data, MDPI, vol. 11(5), pages 1-31, May.
Handle:
RePEc:gam:jdataj:v:11:y:2026:i:5:p:102-:d:1934659
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