Development and validation of training load metrics and models for predicting athletic performance

This series of projects will provide coaches and sport scientists with a greater understanding of the relationship between training and performance. While there are several methods for monitoring how much and how hard athletes train, how these can be best used to predict future performance is still in question. The sports of rowing and middle-distance running involve similar race demands, that being a full effort over 5-10 minutes. That said, the impact an athlete endures training for each is quite different and this can result in a limitation to time spent training in running relative to rowing. We will both investigate current methods of monitoring training for their use in making these predictions, as well as develop new approaches with the aim of even better predicting athlete performance resulting from the different training approaches taken by a coach.

Faculty Supervisor:

David Clarke

Student:

Ryan Brodie

Partner:

Own the Podium

Discipline:

Kinesiology

Sector:

Medical devices

University:

Program: