• The average athlete trains at 20-30% risk of injury

  • 67% of elite athletes are injured annually[2]

  • 4-5 injuries per 1000 sessions occur in Div 1 NCAA swimmer's[3,4]

  • Risk of illness increases by 50-70% with intensive training loads[5,6]

  • Likelihood of injury increases up to 30% from changes in workload[1]

Effective load monitoring reduces & keeps this risk below 5%.[1]

Optimized Quantity of Training

By monitoring training programs according to the “dosage” of exercise the athlete actually sustained, coaches can ensure the athlete is not over-training or under-training.

Over-training: the athlete is being stressed at a rate faster than the body is recovering. Under-Over-Training

  • Increases risk of injury
  • Lowers immune system

Under-training: the athlete is not training to full potential

  • Reduces fitness levels and ability to recover between training sessions

So, coaches can better plan workouts and practice intensities to:

  • Improve athlete performance
  • Reduce risk of injury

This is critical for optimal performance gain. 

The best representation of actual load = load measured at rep level:

  1. Volume: the distance of the rep
  2. Intensity: output of a personal intensity function with respect to speed, mapped according to critical swim speed and their anaerobic speed/intensity curve

Measuring volume and intensity with total swimming time and session RPE provides the total session training load.

Tracking load over time allows for thresholding via Acute to Chronic Workload Ratio (ACWR).

ACWR = 1 week load / 4 week averaged load

Acute = 1 week sum of training load
Chronic = 4 week training load sum, averaged to weekly value

Research has told us if an athlete maintains an ACWR between 80% and 150%, they will keep their likelihood of injury below 5% [1]

Acute Chronic Workload Ratio
From Gabbet 2016 [1]

Technology grounded in simplicity and ease of use

  1. Train with TritonWear at every session for 30 days
  2. After each session athletes input session RPE on their mobile device 
  3. Receive fully automated load monitoring, flagging if or when an athlete is at risk of over or under training
Load with ACWR Moving Bands