In this episode of the Pacey Performance Podcast, I am speaking to Professor of Sports Analytics at Victoria University, Sam Robertson. This is Sam's second time on the podcast but this episode was sparked by a thread on Twitter which Sam started around injury prediction. This thread went viral among the sports science community so it seemed the perfect time to get Sam on and expand on the 14 tweet explanation. Since Sam's last appearance on the podcast, a few things have changed but what hasn't changed is Sam's ability to communicate very complex topics in a very simple and digestible way.
Hope you enjoy this episode with Sam Robertson.
In this episode we discussed...
Who is Sam Robertson (background, education and current role)
True positives and false positives
Risk being a strategy
Pulling players out of sessions based on data


Determining the performance of a model


Implementing injury prediction models in practice
Data quality
Data volume
Relationships between variables and injury


Machine learning methods

Sam can be found on Twitter @Robertson_SJ
Keep up to date with everything that is going on with the podcast by following on Twitter @strengthofsci or visiting strengthofscience.com.
Enjoy
PP

Ver todos los episodios