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Physical profiling in a Swedish hockey league team: positional differences and predictors of sprint performance

Ieva Seglina, Simon Östh, Sebastian Bergman, Alexander Ovendal, Henrik Petré · Frontiers in Sports and Active Living · 2026

Researchers tested 23 players from one professional Swedish ice hockey team on body composition, strength, jumping, sprinting, and aerobic power to see whether physical profiles differ by playing position and what predicts sprint speed. Positions showed no significant differences on any measure, while age and body fat percentage together explained roughly 43-53% of the variation in 5-20 m sprint times.
Takeaway: Keep body fat in check if short-distance sprint speed matters to your sport.
Abstract (source)

Introduction: This study evaluates a professional ice hockey team from the Swedish Hockey League (SHL) using comprehensive player profiling to examine positional differences and to identify how individual age, anthropometric, and physical characteristics predict sprint performance.

Methods: Twenty-three players from one SHL team underwent an off-ice test battery, including anthropometric and physical assessments. The anthropometric assessment included body fat percentage using dual-energy X-ray. Physical performance assessments included isometric mid-thigh pull, vertical jump, off-ice sprints over 5, 10, and 20 meters, and aerobic power. A correlation matrix was computed to examine relationships between physical characteristics. Significant correlations with age were included as predictors for regression models with sprint performance.

Results: Age alone explained 35.7%–43.2% of variance, while fat percentage alone explained 25.9%–34.8% of variance in sprint performance. Together, these two predictors explained 42.6%, 49.1%, and 52.6% of the variance in 5 m, 10 m, and 20 m sprint performance, respectively. Comparisons between playing positions showed no statistically significant differences across all measured variables ( p > 0.05).

Discussion: These cohort-specific

Findings: indicate comparable physical performance and anthropometric profiles across SHL positions, and that age and body fat percentage are independent predictors of short-distance sprint performance.

Observational / cohortOpen accessVelocity-Based & Technology
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