Biology of Sport
eISSN: 2083-1862
ISSN: 0860-021X
Biology of Sport
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1/2023
vol. 40
 
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abstract:
Original paper

Contextualised high-intensity running profiles of elite football players with reference to general and specialised tactical roles

Wonwoo Ju
1
,
Dominic Doran
1
,
Richard Hawkins
2
,
Mark Evans
3
,
Andy Laws
3
,
Paul S Bradley
4

1.
The Research Institution for Sport and Exercise Sciences at Liverpool John Moores University, Liverpool, England, UK
2.
Football Medicine and Science Department at Manchester United Football Club, Manchester, UK
3.
Department of Computer Science, Liverpool John Moores University, Liverpool, UK
4.
Football Science Consultant, UK
Biol Sport. 2023;40(1):291–301.
Online publish date: 2022/05/10
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The present study aimed to contextualise physical metrics with tactical actions according to general and specialised tactical roles. A total of 244 English Premier League players were analysed by coding player’s physical-tactical actions via the fusion of tracking data and video. Data were analysed across 5 general (Central Defensive Players = CDP, Wide Defensive Players = WDP, Central Midfield Players = CMP, Wide Offensive Players = WOP, Central Offensive Players = COP) and 11 specialised positions (Centre Backs = CB, Full-Backs = FB, Wing-Backs = WB, Box-to-Box Midfielders = B2BM, Central Defensive Midfielders = CDM, Central Attacking Midfielders = CAM, Wide Midfielders = WM, Wide Forwards = WF, Centre Forwards = CF). COP covered more distance at high-intensity (> 19.8 km· h-1) when performing actions such as ‘Break into Box’, Run in Behind/Penetrate’, and ‘Close Down/Press’ than other positions (ES: 0.6–5.2, P < 0.01). WOP covered more high-intensity ‘Run with Ball’ distance (ES: 0.7–1.7, P < 0.01) whereas WDP performed more ‘Over/Underlap’ distance than other positions (ES: 0.9–1.4, P < 0.01). CDP and WDP covered more high-intensity ‘Covering’ distances than other positions (ES: 0.4–2.4, P < 0.01). Nonetheless, data demonstrated that implementing specialised positional analysis relative to a generalised approach is more sensitive in measuring physical-tactical performances of players with the latter over or underestimating the match demands of the players compared to the former. A contextualised analysis may assist coaches and practitioners when designing position or even player-specific training drills since the data provides unique physical-tactical trends across specialised roles.
keywords:

Match performance, Physical-tactical data, High-intensity, Positions, Soccer

 
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