Can different scores in first and second halves influence running and explosive-based measures?

This study aimed to examine the influence of different scores in the first and second half on running and explosive-based performance of elite male soccer players. Thirty-three professional players from one English Premier League team participated in the study across two consecutive seasons, 2021/22 and 2022/23. Matches were divided into half (first versus second) and nine phases; WIN-WIN; WIN-DRAW; WIN-LOSS; DRAW-WIN; DRAW-DRAW; DRAW-LOSS; LOSS-WIN; LOSS-DRAW; and LOSS-LOSS. Match physical data were monitored using an 18 Hz Global Positioning System. There was a main effect for half for all variables (<i>p</i> < 0.001-0.008; η<sup>2</sup> = 0.004-0.028), with distances covered per minute and number of explosive actions per minute greater in the first-half than second-half (<i>d</i> = 0.144-0.374). There was an interaction effect between half and phase for m/min, high-speed running per min, high metabolic load distance (HMLD) per min, HML efforts/min, and accelerations/min (<i>p</i> < 0.001-0.012; η<sup>2</sup> = 0.010-0.015). There was a reduction between first-half and second-half performance during WIN-WIN, WIN-DRAW, DRAW-WIN, DRAW-DRAW, LOSE-WIN, and LOSE-LOSE for m/min (<i>p</i> < 0.001; <i>d</i> = 0.435-0.714), HMLD/min (<i>p</i> < 0.001-0.004; <i>d</i> = 0.334-0.605), and HML efforts/min (<i>p</i> < 0.001; <i>d</i> = 0.408-0.611). In conclusion, our findings emphasise the importance of considering both match half and phase when analysing players' physical performance to support the prescription of tailored training programs and tactical strategies to optimise performance across different match situations.

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Publication Details

Journal
Biology of Sport
Published
2024-10-23
DOI
https://doi.org/10.5114/biolsport.2025.144296
Citations
1
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.48

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article

Can different scores in first and second halves influence running and explosive-based measures?

Matthew King, Piotr Żmijewski, Jon L. Oliver, Ryland Morgans et al.
1 citations
Biology of Sport
Sports Performance and Training
0.48
article

Can different scores in first and second halves influence running and explosive-based measures?

Matthew King, Piotr Żmijewski, Jon L. Oliver, Ryland Morgans, John M. Radnor, Rafael Oliveira, Ronan Kavanagh, Ben Ryan, Chris Haslam, Jule S. SCHOLTEN
article en
1 citations

Abstract

This study aimed to examine the influence of different scores in the first and second half on running and explosive-based performance of elite male soccer players. Thirty-three professional players from one English Premier League team participated in the study across two consecutive seasons, 2021/22 and 2022/23. Matches were divided into half (first versus second) and nine phases; WIN-WIN; WIN-DRAW; WIN-LOSS; DRAW-WIN; DRAW-DRAW; DRAW-LOSS; LOSS-WIN; LOSS-DRAW; and LOSS-LOSS. Match physical data were monitored using an 18 Hz Global Positioning System. There was a main effect for half for all variables (<i>p</i> < 0.001-0.008; η<sup>2</sup> = 0.004-0.028), with distances covered per minute and number of explosive actions per minute greater in the first-half than second-half (<i>d</i> = 0.144-0.374). There was an interaction effect between half and phase for m/min, high-speed running per min, high metabolic load distance (HMLD) per min, HML efforts/min, and accelerations/min (<i>p</i> < 0.001-0.012; η<sup>2</sup> = 0.010-0.015). There was a reduction between first-half and second-half performance during WIN-WIN, WIN-DRAW, DRAW-WIN, DRAW-DRAW, LOSE-WIN, and LOSE-LOSE for m/min (<i>p</i> < 0.001; <i>d</i> = 0.435-0.714), HMLD/min (<i>p</i> < 0.001-0.004; <i>d</i> = 0.334-0.605), and HML efforts/min (<i>p</i> < 0.001; <i>d</i> = 0.408-0.611). In conclusion, our findings emphasise the importance of considering both match half and phase when analysing players' physical performance to support the prescription of tailored training programs and tactical strategies to optimise performance across different match situations.

Biology of SportVol. 42(2)
University of Lancashire (GB), The Football Association (GB), Life Quality Research Centre (PT), Instituto Politécnico de Santarém (PT), Józef Piłsudski University of Physical Education in Warsaw (PL), Cardiff Metropolitan University (GB)
Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 36%
Sports Performance and Training
0.48
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