Forget $50K wearable systems. We found a machine learning model that predicts athletic injuries with 98% accuracy using just workload and recovery data. In this episode, we explore how Random Forest AI and explainable machine learning (SHAP) can tell coaches exactly which athletes are at risk—and why. The crazy part? It works on basic spreadsheet data that colleges already have. We break down the top injury risk factors (spoiler: it's not what you'd expect), why your AI model needs to be interpretable, and how this could transform athlete safety at any budget level.