Linear skating speed key performance indicators in ice hockey: global or cohort-dependent?

Victoria Bendus, Cory Kennedy, William Marshall and Brian D. Roy

International Journal of Performance Analysis in Sport, 2025, vol. 25, issue 3, 430-445

Abstract: The purpose of this investigation was to determine whether off-ice key performance indicators (KPIs) of linear skating speed are global across all skaters or modulated based on relevant cohort-dependent covariates. A total of 112 development- and university-level hockey players completed on-ice (30-m skate; ICE 0–30 m) and off-ice assessments (30-m sprint with split times, countermovement jump; CMJ, broad jump, and maximum chin ups). A linear regression model was created to predict ICE 0–30 m times from off-ice inputs with height, body mass, age level, and strength level included as covariates. Model parameters were estimated using the LASSO method with k-fold cross validation. The final model had a cross-validated R2 of 0.806. The strongest predictor of ICE 0–30 m times was 20–30 m sprint time (ß = 0.088). Relative propulsive mean power (ß = -0.064) from the CMJ, 0–30 m sprint time (ß = 0.058), and broad jump (ß = −0.046) represented second-tier predictors. Both relative braking net impulse (ß = 0.043) and relative braking mean power (ß = −0.009) from the CMJ were predictive factors for lower strength players only. The results indicate that top speed sprinting represents the primary global KPI and closest off-ice proxy for skating speed regardless of cohort.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/24748668.2024.2416740 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rpanxx:v:25:y:2025:i:3:p:430-445

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RPAN20

DOI: 10.1080/24748668.2024.2416740

Access Statistics for this article

International Journal of Performance Analysis in Sport is currently edited by Peter O'Donoghue

More articles in International Journal of Performance Analysis in Sport from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().