Experiment 6:Physical Match Examinations

2021 ◽  
pp. 86-92
Keyword(s):  
2019 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Ezequiel Rey ◽  
Pablo B. Costa ◽  
Francisco J. Corredoira ◽  
Alex Sal de Rellán Guerra

2011 ◽  
Vol 6 (2) ◽  
pp. 174-182 ◽  
Author(s):  
Matthew Weston ◽  
Alan M. Batterham ◽  
Carlo Castagna ◽  
Matthew D. Portas ◽  
Christopher Barnes ◽  
...  

Purpose:Soccer referees’ physical match performances at the start of the second half (46–60 min) were evaluated in relation to both the corresponding phase of the first half (0–15 min) and players’ performances during the same match periods.Methods:Match analysis data were collected (Prozone, UK) from 12 soccer referees on 152 English Premier League matches during the 2008/09 soccer season. Physical match performance categories for referees and players were total distance, high-speed running distance (speed >5.5 m/s), and sprinting distance (>7.0 m/s). The referees’ heart rate was recorded from the start of their warm-up to the end of the match. The referees’ average distances (in meters) from the ball and fouls were also calculated.Results:No substantial differences were observed in duration (16:42 ± 2:35 vs 16:27 ± 1:00 min) or intensity (107 ± 11 vs 106 ± 14 beats/min) of the referees’ preparation periods immediately before each half. Physical match performance was reduced during the initial phase of the second half when compared with the first half in both referees (effect sizes—standardized mean differences—0.19 to 0.73) and players (effect sizes 0.20 to 1.01). The degree of the decreased performance was consistent between referees and players for total distance (4.7 m), high-speed running (1.5 m), and sprinting (1.1 m). The referees were closer to the ball (effect size 0.52) during the opening phase the second half.Conclusion:Given the similarity in the referees’ preparation periods, it may be that the reduced physical match performances observed in soccer referees during the opening stages of the second half are a consequence of a slower tempo of play.


2016 ◽  
Vol 11 (6) ◽  
pp. 846-852 ◽  
Author(s):  
A Scott ◽  
JJ Malone ◽  
R Morgans ◽  
D Burgess ◽  
W Gregson ◽  
...  

The aim of the investigation was to determine the relationship between blood creatine kinase and physical match performance in 15 elite male soccer players competing in the English Premier League. Blood samples were collected 48 h following a competitive match and analysed for creatine kinase concentration immediately after collection. Physical match performance data were collected using a computerised tracking system (Prozone®) from >6 matches for each player. Mean ± S.D creatine kinase concentration 48 h post-match was 520 ± 224 µ.mol.l−1. Large individual variation in creatine kinase response at this time point was observed (184 µ.mol.l−1 to 1573 µ.mol.l−1). No significant correlation coefficients were observed between the chosen indicators of physical match performance and creatine kinase concentration 48 h post-match. These data suggest that creatine kinase concentrations are elevated as a consequence of playing a soccer match. Creatine kinase may also be of limited value in supporting important decisions in the coaching process.


2007 ◽  
Vol 10 (6) ◽  
pp. 390-397 ◽  
Author(s):  
Matthew Weston ◽  
Carlo Castagna ◽  
Franco M. Impellizzeri ◽  
Ermanno Rampinini ◽  
Grant Abt

2003 ◽  
Vol 48 (4) ◽  
pp. 2002322 ◽  
Author(s):  
Yaron S. Shor ◽  
Robert B. Kennedy ◽  
Tsadok Tsach ◽  
Nikolai Volkov ◽  
Yehuda Novoselsky ◽  
...  
Keyword(s):  

2018 ◽  
Vol 13 (5) ◽  
pp. 656-664 ◽  
Author(s):  
Paul S. Bradley ◽  
Jack D. Ade

Time–motion analysis is a valuable data-collection technique used to quantify the physical match performance of elite soccer players. For over 40 years, researchers have adopted a “traditional” approach when evaluating match demands by simply reporting the distance covered or time spent along a motion continuum of walking through to sprinting. This methodology quantifies physical metrics in isolation without integrating other factors, and this ultimately leads to a 1-dimensional insight into match performance. Thus, this commentary proposes a novel “integrated” approach that focuses on a sensitive physical metric such as high-intensity running but contextualizes this in relation to key tactical activities for each position and collectively for the team. In the example presented, the integrated model clearly unveils the unique high-intensity profile that exists due to distinct tactical roles, rather than 1-dimensional “blind” distances produced by traditional models. Intuitively, this innovative concept may aid coaches’ understanding of the physical performance in relation to the tactical roles and instructions given to the players. In addition, it will enable practitioners to effectively translate match metrics into training and testing protocols. This innovative model may well aid advances in other team sports that incorporate similar intermittent movements with tactical purpose. Evidence of the merits and application of this new concept is needed before the scientific community accepts this model as it may well add complexity to an area that conceivably needs simplicity.


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