Velocity profiles of high-calibre ice hockey players: a comparison between fixed and dynamic skating blade holders

Detailed skating velocity profiles of high-calibre ice hockey players are lacking, and an increasing number of ice hockey players are using dynamic skating blade holders, but the impact of these skates on performance remains unclear. This study aims to compare velocity profiles between dynamic and fixed blade holders across various skating techniques. Twenty high-calibre skaters from one of the three highest-ranked leagues in Sweden (age 19.7 ± 4.1 years, body mass 77.9 ± 7.6 kg) completed three maximal trials involving linear forward sprints, forward c-cuts, and backward c-cuts on two separate occasions using two different types of blade holders. Split times were recorded at 5 m intervals from 5–40 m and average velocity was calculated for each distance segment. Velocity increased every 5 m up to 40 m, independent of the blade holder type across all techniques. No significant differences in performance were observed for linear forward sprinting or forward c-cuts between the blade holder types. However, backward c-cuts showed a significant improvement in speed with the dynamic holders at several intervals: 0–5 m (2.42 m/s vs. 2.38 m/s, p = 0.048), 15–20 m (5.86 m/s vs. 5.76 m/s, p = 0.009), and 35–40 m (6.84 m/s vs. 6.67 m/s, p = 0.021), resulting in 1-2% faster split times. The results indicate that high-calibre skaters progressively increase their velocity up to 40 m in both forward and backward skating, without reaching maximal velocity. Additionally, dynamic blade holders may offer a performance advantage during backward skating, making them a valuable option for players who frequently utilise this technique in competitive play.

Publication Details

Journal
Figshare
Published
2025-09-24
DOI
https://doi.org/10.6084/m9.figshare.30193918.v1
Primary Topic
Education, Psychology, and Social Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Velocity profiles of high-calibre ice hockey players: a comparison between fixed and dynamic skating blade holders

Figshare
Education, Psychology, and Social Research
article

Velocity profiles of high-calibre ice hockey players: a comparison between fixed and dynamic skating blade holders

article en

Abstract

Detailed skating velocity profiles of high-calibre ice hockey players are lacking, and an increasing number of ice hockey players are using dynamic skating blade holders, but the impact of these skates on performance remains unclear. This study aims to compare velocity profiles between dynamic and fixed blade holders across various skating techniques. Twenty high-calibre skaters from one of the three highest-ranked leagues in Sweden (age 19.7 ± 4.1 years, body mass 77.9 ± 7.6 kg) completed three maximal trials involving linear forward sprints, forward c-cuts, and backward c-cuts on two separate occasions using two different types of blade holders. Split times were recorded at 5 m intervals from 5–40 m and average velocity was calculated for each distance segment. Velocity increased every 5 m up to 40 m, independent of the blade holder type across all techniques. No significant differences in performance were observed for linear forward sprinting or forward c-cuts between the blade holder types. However, backward c-cuts showed a significant improvement in speed with the dynamic holders at several intervals: 0–5 m (2.42 m/s vs. 2.38 m/s, p = 0.048), 15–20 m (5.86 m/s vs. 5.76 m/s, p = 0.009), and 35–40 m (6.84 m/s vs. 6.67 m/s, p = 0.021), resulting in 1-2% faster split times. The results indicate that high-calibre skaters progressively increase their velocity up to 40 m in both forward and backward skating, without reaching maximal velocity. Additionally, dynamic blade holders may offer a performance advantage during backward skating, making them a valuable option for players who frequently utilise this technique in competitive play.

Figshare
Openalex Percentile: Top 36%
Education, Psychology, and Social Research
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.