01 · Hidden
[1]40 vs 419
Over 13 weeks, standard injury records logged 40 overuse injuries across 313 athletes. Weekly check-ins with the same athletes found 419 overuse problems.
Clarsen et al., 2013
Research
Overlast
Health
Starting with
the knee
← Vision
Injuries don't start when you stop playing.
Most sports-injury data counts only what makes an athlete miss a game. The tendon you train through, or the knee that's "fine" until it isn't, rarely shows up anywhere. Before building anything, we read the research on soft-tissue injury and set up a test we're allowed to fail.
The problem, in numbers
03 findings
02 · Costly
[2]292 days
The median time lost to an ACL injury in women's elite European football, the most burdensome injury in the game.
Hallén et al., 2024
03 · Unsolved
[3]0 of 204
A 2022 review found 204 sports injury-prediction models. None had been tested on athletes outside the data they were built on.
Bullock et al., 2022
Our first study is underway.
- [1] Clarsen B, et al. Development and validation of a new method for the registration of overuse injuries in sports injury epidemiology. Br J Sports Med 2013;47:495–502. doi.org/10.1136/bjsports-2012-091524
- [2] Hallén A, et al. UEFA Women's Elite Club Injury Study. Br J Sports Med 2024;58:128–35. doi.org/10.1136/bjsports-2023-107133
- [3] Bullock GS, et al. Just how confident can we be in predicting sports injuries? A systematic review of the methodological conduct and performance of existing musculoskeletal injury prediction models in sport. Sports Med 2022;52:2469–82. doi.org/10.1007/s40279-022-01698-9