STRATAWhat athlete readiness actually is (and what to do with it)
"Readiness" gets sold as a single score on a wristband. That is the shallow version. Real readiness asks a question: is this athlete ready to train or compete well today? Answering it well takes more than one sensor.
A recovery percentage off a wearable is one input. It is not the answer. Picture the athlete who slept four hours, is carrying a heavy training week, skipped breakfast, and is nursing a sore hamstring. That athlete is not ready, and no single device sees all four of those at once. Readiness is a cross-silo signal, and that is exactly why single-purpose tools have such a hard time getting it right.
What actually feeds readiness
- Training load, are they in a spike (a high acute:chronic ratio) or well-built up?
- Sleep, the single biggest lever, and the one teenagers most often miss.
- Wellness check-ins, self-reported soreness, stress, mood and energy. Cheap to collect, surprisingly predictive.
- Recovery markers, HRV and resting heart rate if a wearable is in play; optional, not required.
- Fueling and hydration, an under-fueled athlete is an under-recovered one.
- Injury status, current limitations and where they are in return-to-play.
Put those together and you get a picture worth acting on. Lean on any single one, and you will be confidently wrong on a regular basis.
The mistake nobody warns you about: punishing silence
A missing check-in is not a red flag. Score "didn't report today" as a problem, and athletes learn fast that an honest answer costs them more than saying nothing. That is when your data quietly dies. Never mark an athlete down for a blank. Treat missing data as what it is, missing, and make reporting quick enough and safe enough that they actually do it.
What to do with a readiness flag
This is where programs go wrong in the other direction. A low-readiness flag is a prompt to look closer and maybe modify, not an automatic bench. It might mean a quiet word on the way in ("how'd you sleep?"), or lighter volume for one athlete, or dropping the conditioning block. It might mean nothing at all, if the context already explains it. The flag starts a conversation. The coach and the Athletic Trainer make the call.
- See the flagOne athlete stands out against their own baseline.
- Add contextIs it load, sleep, a wellness dip, a nagging injury? The "why" changes the response.
- Adjust, do not overreactModify the session, have the conversation, or note it and move on. "Sit them out" is rarely the answer.
Start simple: weekly check-ins and sleep
You do not need a wearable on every wrist to run readiness well. Start here: a weekly wellness check-in, a few taps on soreness, sleep, stress and energy, sitting on top of the training load you already capture. That alone gets you most of the value. Make sleep your headline number, and you are already ahead of most programs, because sleep is the lever with the biggest payoff and the lowest cost.
Readiness that reads the whole athlete
Strata builds a per-athlete readiness signal from training load, sleep, wellness, recovery and fueling, cites the science behind every flag, and works with or without wearables. It flags. It does not bench, and it does not punish an athlete for a day they did not log.
See it with your school's branding →Frequently asked
Do I need wearables to measure readiness?
No. Training load plus a quick weekly wellness check-in, with sleep as the headline, gets you most of the value. Wearables (HRV, resting heart rate) add detail, but they are optional.
Should a low readiness score bench an athlete?
Almost never on its own. It is a flag to look closer, add context, and maybe modify the session. The human call, made with the Athletic Trainer and coach, always sits on top of the number.
What's the single most valuable readiness input?
Sleep. It is the biggest driver of recovery, and it is the one high school athletes fall short on most. Tracking it and protecting it is the highest-leverage thing you can do.
Sources & further reading
- Bourdon et al., Monitoring Athlete Training Loads: consensus statement (International Journal of Sports Physiology and Performance).
- Saw, Main and Gastin, British Journal of Sports Medicine, athlete self-report measures of wellbeing and training response.
- Gatorade Sports Science Institute (GSSI), recovery and monitoring resources. gssiweb.org