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Related Experiment Video

Updated: Jun 25, 2026

Effects of a Novel Neuromuscular Training Intervention on Jump, Sprint, and Change of Direction in Adult Female Soccer Players

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Relationship Between Vertical Force-Velocity Metrics and Sprinting Performance in Female Rugby Union Athletes.

Dana J Agar-Newman^1,2, Ming-Chang Tsai³, Kieran Phillips^1,2

¹Department of Strength and Conditioning, Canadian Sport Institute Pacific, Victoria, British Columbia, Canada.

Journal of Strength and Conditioning Research

|June 23, 2026

Summary

Maximal Mechanical Power and the Slope of the Force-Velocity Relationship predict sprint times in female rugby players. Monitoring these vertical force-velocity profile metrics can improve 40m sprint performance.

Keywords:

assessment jumping speed strength

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Area of Science:

Sports Science
Biomechanics
Athletic Performance

Background:

Sprinting is crucial in field sports, yet research on female athletes is limited.
Understanding the relationship between force-velocity profiles and sprint performance is essential for training optimization.

Purpose of the Study:

To investigate the association between gym-based vertical force-velocity profile (v-FVP) metrics and 40m sprint times in female rugby union athletes.
To identify key v-FVP predictors of sprint performance in this population.

Main Methods:

Fifty female rugby athletes (mean age 20.30 ± 2.02 years) participated.
Pearson correlation coefficients were used to examine relationships between v-FVP metrics and 40m times.
A linear mixed model analyzed the predictive power of v-FVP variables on 40m sprint performance, accounting for individual differences.

Main Results:

Significant correlations (p < 0.01) were found between 40m time and several v-FVP metrics.
Maximal Mechanical Power (pMax) and the Slope of the Force-Velocity Relationship (SFV) were significant predictors (p < 0.01) of 40m time.
The model explained a substantial proportion of variance (R2 = 0.93), with pMax and SFV significantly influencing sprint performance.

Conclusions:

pMax demonstrated a strong negative relationship with 40m sprint times, indicating higher power leads to faster sprints.
SFV showed a low positive correlation with 40m sprint times.
Practitioners should monitor pMax and SFV to enhance sprint performance in female rugby athletes.