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Description

This project examined the distribution of internal training load across a competitive season in NCAA Division I women’s ice hockey, with a focus on how weekly structure influences performance and recovery. Approximately 25 weeks of data were collected using Firstbeat technology, including TRIMP and heart rate–based metrics, to quantify physiological stress during practices and games. Weekly and daily load patterns were analyzed to assess whether training followed an effective undulated structure.

Results indicated inconsistent weekly load progression, frequent clustering of moderate-intensity days, and insufficient separation of high-intensity stressors. Game demands consistently produced the highest loads, yet surrounding training sessions were not always structured to optimize preparation or recovery. Additionally, strength training intensity was not directly measured, limiting the ability to evaluate total stress exposure fully.

Based on these findings, this project proposes that training effectiveness can be improved by aligning lift and practice intensities to create a clearly undulated weekly structure. This includes strategically placing high-, moderate-, and low-stress days, building the week around the competition, and ensuring adequate recovery between stressors. Ultimately, this approach emphasizes that performance is not solely dependent on total workload, but on how that workload is organized throughout the week.

Publication Date

4-30-2026

Keywords

Sport Performance, Load Monitoring, Data Collection

Using Firstbeat Data With Division 1 Women’s Ice Hockey to Align Practice and Lift Intensities

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