Can Functional Movement Predict Athlete Performance? Movement podcast

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Can Functional Movement Predict Athlete Performance?

8d ago 35:20

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In this episode of the Movement Podcast, Gray Cook and Lee Burton explore one of the most complex and debated topics in sports and rehabilitation: predicting athletic performance and ranking talent.

With AI and machine learning beginning to shape how we analyze athletes, the conversation unpacks:
• How performance is measured—and why it’s more than just speed and strength.
• The rise of durable performers: athletes who stay healthy, consistent, and coachable.
• What new research says about FMS scores and their ability to predict performance—not just prevent injury.
• The growing need to consider psychological readiness, engagement, and self-awareness as critical metrics.
• Why looking at movement quality, not just quantity, is essential in both elite and youth sports.
Whether you're a coach, trainer, healthcare provider, or performance nerd, this discussion will help you rethink how we define, assess, and develop talent.
Curious what your wellness score is? Check it out for free!
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Referenced Research Articles:
Predictive Athlete Performance Modeling with Machine Learning and Biometric Data Integration
Prediction and Injury Risk Based on Movement Patterns and Flexibility (2023)
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