New study : soccer players’ training output can be predicted by perceived wellness

A new study shows that soccer players’ training output can be predicted by perceived pre-training wellness and that a reduction in subjective wellness translates in reduced performance on the field (total high speed distance, high speed distance, maximal velocity, etc).

Link to study

Using apps such as to administer and interpret pre-training wellness questionnaires can provide coaches with crucial information about how each player can be expected to perform every day, and help to proactively adapt individual daily workload to the wellness and fatigue level of the athletes, in order to minimize the risk of injury and optimize recovery and performance.

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.