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Comparison of selected physical fitness components among male football players of different playing positions
Published 2015-11-01Subjects: “…agility; attackers; defenders; goalkeepers; midfielders; power; speed…”
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Comparing the technical and individual possession statistics of academy players across different age groups in match-play.
Published 2025-01-01“…<h4>Objectives</h4>To (i) assess the differences in technical and possession statistics between different age groups (U16, U18, U23) and outfield positions (central defender [CD], wide defender [WD], central midfielder [CM], attacking midfielder [AM], wide midfielder [WM], striker [ST]), within an English academy soccer programme, during match-play.…”
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PREVALÊNCIA DE LESÕES OSTEOMUSCULARES EM JOGADORES DE FUTEBOL ACREANOS NAS TEMPORADAS 2016-2018
Published 2022-04-01“…Conclusion: The prevalence of injuries in soccer players from Acre is high and mainly involves the lower limbs, with a higher frequency among wingers, attacking midfielders and strikers. Methods for preventing such injuries are necessary.…”
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‘Setting the Benchmark’ Part 3: Contextualising the Match Demands of Specialised Positions at the FIFA Women’s World Cup Australia and New Zealand 2023
Published 2024-06-01“…Regarding offers made to receive the ball, defensive and central midfielders, attacking midfielders and centre forwards moved more between the lines than centre backs, wide defenders and wide midfielders ( P < 0.01; ES: 1.0–1.9). …”
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Physical match performance of elite soccer players from the English Championship League and the English Premier League: The effects of opponent ranking and positional differences
Published 2024-05-01“…Concerning positional roles, more physical metrics were influenced by opponent level in the ECL (centre-backs (TD, ACC), full-backs (TD, DEC), centre midfielders (TD, HSR, Spr, DEC), attacking midfielders (TD, Spr, DEC), centre forwards (TD)) than in the EPL (centre midfielders (TD, HSR, DEC), attacking midfielders (TD, DEC), centre forwards (TD)). …”
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Analyzing Positional and Temporal Variations in Worst-Case Scenario Demands in Professional Spanish Soccer
Published 2025-05-01“…Regarding actions exceeding 85% of the 1-min WCS for TD, full-backs (FBs) showed significant differences compared to CBs (<i>p</i> < 0.001), midfielders (MDs; <i>p</i> < 0.001), and attacking midfielders (AMs; <i>p</i> < 0.001). …”
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Position-specific biomarker responses to match vs. VAMEVAL test modalities in elite female soccer players: a comparative analysis study
Published 2025-12-01“…VAMEVAL test) and playing position on biomarker responses in elite female soccer players, twenty-one athletes (seven each: defenders, midfielders, attackers) participated in this cohort-based study. …”
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ASSOCIATION BETWEEN ANTHROPOMETRIC AND PHYSICAL DATA OF UNIVERSITY SOCCER PLAYERS FROM DIFFERENT POSITIONS
Published 2021-05-01“…Twenty university soccer players were selected (20.95 ± 1.84 years; 71.60 ± 11.65 kg; 176.85 ± 7.28 m) divided into defenders, midfielders and attackers. Body composition was assessed in a cross-sectional analysis that correlated fat mass, lean mass and fat-free mass by DXA with the physical capacity tests. …”
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Dynamic Financial Valuation of Football Players: A Machine Learning Approach Across Career Stages
Published 2025-06-01“…The findings reveal that the relevance of valuation factors diminishes with age, and the most influential features vary by position—shooting for attackers, passing for midfielders, and defensive skills for defenders. …”
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Swarm Intelligence for Collaborative Play in Humanoid Soccer Teams
Published 2025-05-01“…In this paper, a biologically inspired swarm-intelligence framework for humanoid soccer is proposed, comprising (1) a low-overhead communication User Datagram Protocol (UDP) optimized for minimal bandwidth and graceful degradation under packet loss; (2) an Ant Colony Optimization (ACO)-based decentralized role allocation mechanism that dynamically assigns attackers, midfielders, and defenders based on real-time pheromone trails and local fitness metrics; (3) a Reynolds’ flocking-based formation control scheme, modulated by role-specific weighting to ensure fluid transitions between offensive and defensive formations; and (4) an adaptive behavior layer integrating lightweight reinforcement signals and proactive failure-recovery strategies to maintain cohesion under robot dropouts. …”
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Anthropometric and Hematological Profile of some selected Ethiopian Premier League Male Soccer Players in the Final Competitive Season
Published 2019-09-01“…Further a statistically significant change was observed is only WBC, RBC and MCH hematological variables were observed when compared among the different playing positions (Goalkeepers, defenders, midfielders and attackers). It was concluded that there is no significant difference in anthropometric, physiological and hematological variables except (WBC, RBC and MCH) soccer players between playing position, although the values of the measured hematological parameters fell within the reference range. …”
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Unlocking dynamics of goal-scoring: the showdown between direct and indirect transition goals across football leagues
Published 2024-09-01“…Offensive transitions, (defined as shifts from defense to attack) have an extraordinary impact on goal scoring patterns. …”
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