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 tipping from healthy adaptation into overload. Where the PEAKScore tells you how ready you are to perform today, PRiSM projects forward, estimating your risk of injury if current patterns continue.
PRiSM works by layering:
Training load balance — comparing recent (acute) stress to your longer-term (chronic) history.
Session modifiers — scaling for how stressful different activities actually are on your body.
Wellness data — soreness, stress, sleep, recovery, and health.
Historical context — your previous soreness spikes and logged injury events, so it recognises the patterns that typically precede setbacks for you.
The score is presented both as a risk indicator (green, amber, red) and as a machine-learning injury probability %. This probability becomes more accurate over time as PRiSM learns from your data — the longer you log, the sharper the model gets at spotting your personal red flags.
In short: PEAK Score shows today’s readiness; PRiSM shows tomorrow’s risk. Together, they give you a dynamic, evolving compass that balances performance with protection.