Abstract
1/2026
vol. 43
Original paper
The effect of contextualised match variables on the metabolic power of elite soccer players during English Premier League match-play
- School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK
- Brentford FC Football Research Centre, Brentford FC, London, UK
- Research Centre in Sports Sciences, Health and Human Development, (CIDESD), Santarém Polytechnic University, 2040-413 Rio Maior, Portugal
- Santarém Polytechnic University, School of Sport, 2040-413 Rio Maior, Portugal
- Performance and Analytics Department, Parma Calcio 1913, 43121 Parma, Italy
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy
- Jozef Pilsudski University of Physical Education in Warsaw, 00-809 Warsaw, Poland
- Research and Development Center Legia Lab, Legia Warszawa, Poland
- Faculty of Kinesiology, University of Split, Split, Croatia
- High Performance Sport Center, Croatian Olympic Committee, Zagreb, Croatia
- Department of Sports Sciences, Polytechnic of Guarda, Guarda, Portugal
- Department of Sports Sciences, Polytechnic of Cávado and Ave, Guimarães, Portugal
- SPRINT-Sport Physical Activity and Health Research & Innovation Center, Guarda, Portugal
- Department of Sport, School of Physical Education and Sport, University of São Paulo, São Paulo, Brazil
Biol Sport. 2026;43:671–678
Online publish date: 2025/12/04
This study examined the effect of contextualised match variables on metabolic power of elite soccer players during English Premier League (EPL) match-play across four seasons (2021/22–2024/25), comparing in-possession (MPIP) and out-of-possession (MPOP) phases. Match data from 31 male professional soccer players retrieved from 152 regular-season EPL competitive matches was obtained via an optical tracking system and analysed with decision tree regression models. The MPIP model demonstrated strong predictive accuracy (RMSE = 1.54; MPE = 2.04%), identifying playing position as the dominant predictor (88% of total feature importance). Defenders exhibited the lowest MPIP, while forwards in a 3-5-2 team formation showed the highest values (MPIP = 15.7 W · kg−1). Conversely, the lowest MPIP values (MPIP = 12.1 W · kg−1) were observed when the study team did not employ a 3-5-2 team formation and faced opponents with a ranking difference of less than eight positions. The MPOP model also demonstrated robust predictive performance (RMSE = 1.59; MPE = 1.30%). Playing position was the most influential factor (44% of total feature importance), with midfielders displaying higher MPOP. Forwards had the lowest MPOP in the second half, while the highest values (MPOP = 17.1 W · kg−1) were observed for midfielders when the team was losing in a 3-5-2 formation. These findings confirm that positional role is the principal determinant of metabolic power in EPL match-play, with midfielders particularly exposed to elevated demands out-of-possession. Tactical structure, match status, and match period further modulate metabolic load, highlighting the need to consider context-specific training strategies.
Keywords
Match-play, Metabolic power, Playing position, Match period, Opponent ranking, Team formation, Match status, Location, Optical tracking, Football, Soccer
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