Analysis of Force–Velocity Profiles in Young Football Players: Effect of Competition Level and Position

We evaluated the force–velocity profiles of young male football players and examined the associations between their competitive levels and positional roles. Thirty-eight male players from a team registered with the National Football Federation who had an average age of 17.08 ± 0.94 y, a height of 1.77 ± 0.06 m and a body mass of 69.08 ± 7.02 kg volunteered to participate. Players performed countermovement jumps under loading conditions corresponding to 30, 50 and 70% of their body mass to assess their actual and optimal force–velocity profile variables. Results showed that 26% of players exhibited a high force deficit, 50% had a low force deficit, 3% had a low velocity deficit and 21% demonstrated a well-balanced force–velocity relationship. When comparing competitive levels, players in the 1st national division exhibited a more balanced force–velocity compared to players in the 2nd division (83.05 ± 20.34 vs. 62.94 ± 21.28%) but showed lower maximal power values (26.95 ± 4.17 vs. 31.54 ± 6.45 W/kg). Positional analysis revealed that forwards demonstrated a more balanced force–velocity than midfielders (84.64 ± 13.46 vs. 58.70 ± 21.31%), yet had lower maximal power values (25.11 ± 3.59 vs. 32.05 ± 5.57 W/kg). No differences were observed in vertical jump performance across either levels or positions. These findings underscore the variability in neuromuscular profiles among young players and highlight the importance of individualized strength training to address force–velocity deficits and enhance ballistic performance (particularly vertical jumping).

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-04-25
DOI
https://doi.org/10.3390/app15094798
Primary Topic
Sports Dynamics and Biomechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Force–Velocity Profiles in Young Football Players: Effect of Competition Level and Position

Filipe Conceiç�ão, A. Ventura, Manoel J. Rios, Ricardo J. Fernandes
Applied Sciences
Sports Dynamics and Biomechanics
article

Analysis of Force–Velocity Profiles in Young Football Players: Effect of Competition Level and Position

Filipe Conceiç�ão, A. Ventura, Manoel J. Rios, Ricardo J. Fernandes
article en

Abstract

We evaluated the force–velocity profiles of young male football players and examined the associations between their competitive levels and positional roles. Thirty-eight male players from a team registered with the National Football Federation who had an average age of 17.08 ± 0.94 y, a height of 1.77 ± 0.06 m and a body mass of 69.08 ± 7.02 kg volunteered to participate. Players performed countermovement jumps under loading conditions corresponding to 30, 50 and 70% of their body mass to assess their actual and optimal force–velocity profile variables. Results showed that 26% of players exhibited a high force deficit, 50% had a low force deficit, 3% had a low velocity deficit and 21% demonstrated a well-balanced force–velocity relationship. When comparing competitive levels, players in the 1st national division exhibited a more balanced force–velocity compared to players in the 2nd division (83.05 ± 20.34 vs. 62.94 ± 21.28%) but showed lower maximal power values (26.95 ± 4.17 vs. 31.54 ± 6.45 W/kg). Positional analysis revealed that forwards demonstrated a more balanced force–velocity than midfielders (84.64 ± 13.46 vs. 58.70 ± 21.31%), yet had lower maximal power values (25.11 ± 3.59 vs. 32.05 ± 5.57 W/kg). No differences were observed in vertical jump performance across either levels or positions. These findings underscore the variability in neuromuscular profiles among young players and highlight the importance of individualized strength training to address force–velocity deficits and enhance ballistic performance (particularly vertical jumping).

Applied SciencesVol. 15(9)
Universidade do Porto (PT), Instituto Piaget (PT)
Openalex Percentile: Top 92%
Sports Dynamics and Biomechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.