PREDIC’TRAIL

There are 33 million trail runners in the world. Whether for the winner or the last finisher, the goal is to finish the race while minimizing time, fatigue and the risk of injury. The use of data in trail running is currently very limited due to the specificities of the activity (grade, technicality, altitude, climate).

The algorithm developed is able to model the speed-grade-endurance relationship of a runner based on GPS training and racing data recorded by a smartphone or a connected watch.

The Predic'Trail solution allows to evaluate the physical capacities specific to trail running, in an individual way and updated after each training session. It allows you to get new data that do not currently exist (force-speed-endurance profile) without complex and costly tests.

The algorithm has been developed and allows to determine the critical speed capacity according to the slope. The ability of the model to predict the time portions of a race or entire race has been validated on the basis of a few dozen high level runners. The mobile and connected watch applications are under development.

From the individual profile determined by the algorithm and the race track, it is possible to indicate in real time the maximum speed that the runner can maintain without getting tired, taking into account the grade, altitude and the state of the track. Individualized pacing management will allow the runner to limit fatigue and maximize performance.