PRiSM stands for Probability of Risk of Injury in Sport Model. It’s PEAK’s injury likelihood engine, built to show when your training is shifting from healthy adaptation into overload.
Where the PEAKScore tells you how ready you are to perform today, PRiSM looks ahead, estimating your risk of injury if current patterns continue.
PRiSM works by combining several layers of data:
Training load balance: Comparing recent (acute) stress with your longer-term (chronic) training history.
Session modifiers: Scaling training load based on how stressful different activities actually are on your body.
Wellness data: Including soreness, stress, sleep, recovery, and overall health.
Historical context: Analysing your previous soreness spikes and logged injury events, so it recognises the patterns that typically precede setbacks for you.
Your PRiSM score is shown in two ways:
A risk indicator (green, amber, or red), and
A machine-learning injury probability (%).
This probability becomes more accurate over time as PRiSM learns from your data — the longer you log consistently, the better it becomes at identifying your personal risk signals.
In short, PEAK Score shows today’s readiness, while PRiSM shows tomorrow’s risk. Together, they give you a dynamic, evolving compass that balances performance with protection.