New study’s findings supports’s data analytics model

A new study just published by the International Journal of Sports Physiology and Performance shows that, in professional rugby,  the risk of injury increases in a linear fashion when:

  1. One-week cumulative loads exceed 1245 AU
  2. Week-to-week load changes exceed 1069 AU
  3. Four-week cumulative loads exceed more than 8651 AU

Load in arbitrary units (AU) being calculated from the perceived rating of session difficulty multiplied by session/match duration in minutes (session-RPE x duration).

These variables are automatically monitored by’s built-in algorithms. Therefore, this new study’s findings provides further support for’s data analytics model, while providing another evidence that effective risk assessment and injury prevention doesn’t require expensive wearable technologies and can be both simple and inexpensive.

Cross et al.: The Influence of In-Season Training Loads on Injury Risk in Professional Rugby Union, International Journal of Sports Physiology and Performance, 2015.