Biology of Sport
eISSN: 2083-1862
ISSN: 0860-021X
Biology of Sport
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abstract:
Original paper

The effect of contextualised match variables on the metabolic power of elite soccer players during English Premier League match-play

Ryland Morgans
1, 2
,
Rafael Oliveira
3, 4
,
Mauro Mandorino
5, 6
,
Ben Ryan
2
,
Piotr Zmijewski
7, 8
,
Toni Modric
9, 10
,
Jose Eduardo Teixeira
11, 12, 13
,
Alexandre Moreira
14

  1. School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK
  2. Brentford FC Football Research Centre, Brentford FC, London, UK
  3. Research Centre in Sports Sciences, Health and Human Development, (CIDESD), Santarém Polytechnic University, 2040-413 Rio Maior, Portugal
  4. Santarém Polytechnic University, School of Sport, 2040-413 Rio Maior, Portugal
  5. Performance and Analytics Department, Parma Calcio 1913, 43121 Parma, Italy
  6. Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy
  7. Jozef Pilsudski University of Physical Education in Warsaw, 00-809 Warsaw, Poland
  8. Research and Development Center Legia Lab, Legia Warszawa, Poland
  9. Faculty of Kinesiology, University of Split, Split, Croatia
  10. High Performance Sport Center, Croatian Olympic Committee, Zagreb, Croatia
  11. Department of Sports Sciences, Polytechnic of Guarda, Guarda, Portugal
  12. Department of Sports Sciences, Polytechnic of Cávado and Ave, Guimarães, Portugal
  13. SPRINT-Sport Physical Activity and Health Research & Innovation Center, Guarda, Portugal
  14. 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
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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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