ArticlePeerJ2022
Analysis of professional soccer players in competitive match play based on submaximum intensity periods.
Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Locomotor characteristics of intense accelerations according to the playing position in top Spanish football teams during competition.Biology of sport · 2025Article
- Hamstring Strain Injury Patterns in Spanish Professional Male Football (Soccer): A Systematic Video Analysis of 78 Match Injuries.Journal of functional morphology and kinesiology · 2025Article
- A Narrative Review of the Velocity and Acceleration Profile in Football: The Influence of Playing Position.Sports (Basel, Switzerland) · 2025Review
- Submaximal intensity periods in game-based drills vs. match demands in professional football.Frontiers in sports and active living · 2025Article
- External load profile during different sport-specific activities in semi-professional soccer players.BMC sports science, medicine & rehabilitation · 2023Article
- Tracking devices and physical performance analysis in team sports: a comprehensive framework for research-trends and future directions.Frontiers in sports and active living · 2023Review
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Authors and funding
4 authors.
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Abstract
The main objective of this study is to analyse sub-maximum intensity periods (SubMIP's) manifested by professional soccer players during official matches (number of events and time spent in each event), according to the player position, match halve and match, and also to group the players according to their SubMip values during the competition. Methods: We collected a total of 247 individual records of 14 players using Global Positioning System (GPS) during 15 official league matches (Azerbaijan Premier League 2019-2020). We calculated both the number of SubMIPs events and the time each player spent in the SubMIPs zone (threshold of 85% MIP). We analysed the possible independence of the variables with the Kruskal-Wallis test and the possible specific relationships between the groups using a post-hoc analysis with Dunn's test. In order to explore the possible distribution of physical demands in homogeneous groups, a cluster analysis was performed. Results: The statistical analysis showed significant differences between the individual variables in the number of events and in the time spent by the player above the threshold in distance covered at speed >19.8 km/h (HSR), distance covered at speed >25.2 km/h (Sprint), acceleration density (AccDens), mean metabolic power (MetPow), metres per minute (Mmin) and high metabolic load distance >25.5 W/kg (HMLD). Differences were also found according to the playing position in MetPow, Mmin and between halves in AccDens, MetPow, Mmin. In the clustering based on the time spent by the player in SubMIPs, three main groups were described: (1) the centroid was located in lower values in each of the variables; (2) there were an accentuation of the AccDens variable; (3) all the variables, except AccDens, were accentuated. Conclusions: The main differences with regard to SubMIPs were related to the player's individual physical performance and not to position. However, the player's position could act as an attractor and show significant differences during matches.
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