As a data analyst who lives between spreadsheets and sideline buzz, I watched Kaitlyn Clark’s 34-minute performance not as a star moment—but as a statistical anomaly. Her 14-of-30 shooting, 11 rebounds, and 9 assists weren’t luck; they were the output of a predictive model trained on pressure. This wasn’t just a comeback—it was the algorithm winning. I break down why ‘defense’ in basketball is really about decision density under fatigue.