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175. Breaking Down the Sprint Force-Velocity Profile, Real-Life Data and Decision-Making Tree

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Manage episode 439033282 series 2563828
Indhold leveret af Matt Tometz. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Matt Tometz eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this episode, I demystify the sprint force-velocity profile and connect it to its crucial role in speed training. I break down how to interpret the data to to directly enhance your speed training programming and performance. Drawing from real-life sprint testing with D1 college and high school football teams, as well as anecdotal evidence, I provide actionable insights you can apply tomorrow.

3:10: Understanding each metric: definitions, formulas, and how it's measured

10:40: Simplifying metrics: reducing from 10 to 5 with correlation matrices and rationale

31:53: Evaluating metrics: what’s good and bad for college vs. high school levels

33:28: Navigating data: decision-making frameworks and prioritizing issues with conditional logic

42:19: Key action items for immediate application

Episode on YouTube: https://youtu.be/3i3Mr2o3nAg

A thank you to this show's sponsors:

FYTT

Samson Equipment

Isophit

  continue reading

183 episoder

Artwork
iconDel
 
Manage episode 439033282 series 2563828
Indhold leveret af Matt Tometz. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Matt Tometz eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this episode, I demystify the sprint force-velocity profile and connect it to its crucial role in speed training. I break down how to interpret the data to to directly enhance your speed training programming and performance. Drawing from real-life sprint testing with D1 college and high school football teams, as well as anecdotal evidence, I provide actionable insights you can apply tomorrow.

3:10: Understanding each metric: definitions, formulas, and how it's measured

10:40: Simplifying metrics: reducing from 10 to 5 with correlation matrices and rationale

31:53: Evaluating metrics: what’s good and bad for college vs. high school levels

33:28: Navigating data: decision-making frameworks and prioritizing issues with conditional logic

42:19: Key action items for immediate application

Episode on YouTube: https://youtu.be/3i3Mr2o3nAg

A thank you to this show's sponsors:

FYTT

Samson Equipment

Isophit

  continue reading

183 episoder

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