International journal of sports physiology and performance

Using Multiple Data Measures to Predict Performance in Biathletes and Cross-Country Skiers

Updated

Abstract

Valid models predicting performance were developed for female biathletes and cross-country skiers, with R2 values of .80 and up to .81.

  • Performance in biathlon and cross-country skiing can be projected using a combination of body composition and physical fitness metrics.
  • Key factors for predicting biathlon performance include shooting accuracy, speeds at specific blood lactate levels, peak aerobic power, and lean mass.
  • For cross-country skiing, the most important predictors of performance are also speeds at blood lactate concentrations and peak aerobic power.
  • No valid predictive models were found for male athletes in this analysis.

Simplified

Full Text

Full text is available at the source.

What Lands in Your Inbox Each Week:

  • 📚7 fresh studies
  • 📝plain-language summaries
  • direct links to original studies
  • 🏅top journal indicators
  • 📅weekly delivery
  • 🧘‍♂️always free