Energy levels
A simple scale to gauge daily readiness and flag potential overreaching before it becomes a problem.
Player welfare
Stop guessing about athlete wellbeing.
Strong gives athletes a 30-second daily check-in and layers it against training load, GPS data, and medical records, so wellbeing stops being a corridor conversation and starts being a signal you can act on.
The problem
Welfare is too important to live in a patchwork
Right now, player welfare is managed through a patchwork of spreadsheets, disjointed survey apps, and corridor conversations. Critical information lives in silos, making it impossible to see the full picture. You miss the early warnings: the dip in sleep quality before a non-contact injury, the accumulated fatigue that metrics alone do not show. This reactive approach costs you player availability and compromises performance. It is time for an athlete wellness platform built for professional sport, not a system of workarounds.
- Wellbeing data scattered across spreadsheets and survey apps
- Early warnings missed because nobody can see the full picture
- Reactive welfare that costs availability and compromises performance
The turn
Centralise wellbeing. Correlate with performance.
Strong integrates athlete wellbeing management directly into your performance ecosystem, so subjective check-ins sit beside training load, GPS data, and medical records on the same athlete record.
The weekend story
See who is trending down, not just who is low today
A single low reading is noise. A week of decline is a signal. Strong lays every athlete's readiness across the week so the eye finds the slow slide before it becomes an injury or a missed session. This is the difference between reacting to a problem and catching the early warning that subjective data alone would have buried.
Readiness across the week
Every athlete, every day. The eye finds who is trending down, not just who is low today.
| Athlete | Mon | Tue | Wed | Thu | Fri | Sat | Sun |
|---|---|---|---|---|---|---|---|
| M. Okafor | 44 | 38 | 31 | 26 | 22 | 19 | 28 |
| L. Fontaine | 62 | 55 | 48 | 41 | 39 | 35 | 41 |
| R. Adeyemi | 71 | 66 | 59 | - | 54 | 49 | 52 |
| T. Bauer | 68 | 72 | 70 | 65 | 69 | 73 | 74 |
| S. Nakamura | 80 | 77 | 82 | - | 79 | 84 | 81 |
| D. Mwangi | 85 | 88 | 84 | 86 | 89 | 87 | 88 |
- Ready (67+)
- Monitor (34-66)
- Low (under 34)
The five trackers
The data that defines availability
Sleep quality and duration
The foundation of all recovery. Sleep tracking for athletes shows how training, travel, and stress impact this critical process.
Hydration status
Track daily intake to keep athletes primed for performance and to mitigate the risks that come with dehydration.
Nutritional adherence
A quick log to monitor how well athletes are fuelling their bodies in line with team protocols.
Menstrual cycle
A vital tool for female athletes to understand their cycle's impact on training, energy, and injury risk, logged privately and respected as performance data.
Female athlete performance
A new standard for half the world's athletes
For too long, the menstrual cycle has been ignored in sports performance. Strong treats it as a fundamental dataset for half the world's athletes. Discrete, secure menstrual cycle tracking lets female athletes log their cycle phases privately, and it lets staff understand population-level trends, individualise training loads, adjust nutritional strategies, and account for injury risk associated with hormonal fluctuations. It is not personal information held against an athlete; it is performance information held for them. Normalising this conversation is central to elite athlete wellbeing management.
It is not personal information. It is performance information. Treating the menstrual cycle as a respected dataset is how a programme finally builds for the whole athlete, not half of one.
Private for the athlete, powerful for the team
A dual-view model built on trust
- The athlete's view
- A simple, private mobile interface. Athletes log their data, track their own trends, and take ownership of their wellbeing. Their individual data is theirs alone.
- The staff's view
- Aggregated, anonymised squad trends. Staff cannot read an individual's private log, but they can see when most of the squad reports poor sleep after a long-haul flight, and adjust the next day accordingly.
- The line that earns trust
- The privacy split is the point, not a setting. Athletes log honestly because the individual record stays private; staff act early because the squad-level signal is clear.
Integrating Strong's welfare module gave us the missing piece of the puzzle. We can now have proactive conversations about fatigue and readiness, backed by data. Our athlete availability has never been higher.
Player welfare
Build a culture of wellness and winning
Move from reactive problem-solving to proactive performance. See how Strong's athlete wellness platform connects wellbeing to availability and gives you a sustainable competitive advantage.