I’m curious if anyone has looked into using machine learning to analyze training data from elite athletes and predict when strength plateaus might occur. Since I work with data in my day job, I’m wondering how feasible it would be to model this. What do you think are the key factors like training volume, recovery metrics, or nutrition that would give the most accurate predictions? Have you seen any real-world examples where this kind of analysis has been applied effectively?