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Pacey Performance Podcast

Science and application of velocity based training with Dan Baker, Lachlan Wilmot and Jonathon Weakley

Nov 3, 2022
01:13:48

On this week's Pacey Performance Podcast, Rob is speaking to Dan Baker, Lachlan Wilmot and Jonathon Weakley. This episode was originally recorded in 2020 as a Live roundtable but because the information on velocity based training (VBT) was so incredible, we decided to release it as a podcast.

Dan, Lachlan and Jonathon are most certainly authorities in this area from both a practical and academic perspective. All three of these guys know this area inside out. Firstly we start by tackling a few misunderstandings when it comes to VBT and then chat through why each of the guests decide to implement VBT in their different environments.

There seems to be a disconnect between the science of VBT and its application. On paper it looks great but implementing it in practice seems to be a barrier to some coaches. Is it the technology available, is it athlete buy-in, is it friction when it comes to programming? Jonathon gives his view here given his recent review of this area in his paper, Velocity-based training: From theory to application.

If you are interested in this area and haven't read this article, its free to download on Researchgate. We finish off this episode with a quick fire round of questions, tackling some of the common issues when interpreting the science and translating that into practice.

If you're looking for in-depth information on velocity based training, listen to three experts in this area on this episode of the podcast.

Main talking points -

  • What is velocity based training?
  • Why is it misunderstood?
  • When VBT shouldn't be implemented with a programme?
  • Why is there a disconnect between VBT science and application?
  • Is bar path really an essential metric to track using VBT technology?
  • What metrics to focus on to maximise bang for buck
  • How can we help coaches successfully implement VBT in an applied setting
  • Using velocity loss

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