Implementing injury prediction models in practice and machine learning methods with Sam Robertson (Professor of Sports Analytics at Victoria University)

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