As a data analyst who grew up watching L.A. streetball and now models NBA efficiency with Python, I saw something rare: Katelynn Clark turned a 77-88 deficit into a masterclass. Her 14-for-30 shooting, 11 rebounds, and 9 assists weren’t just stats—they were a biomechanical symphony. This isn’t luck. It’s predictive modeling in real time. Here’s why her cold, calculated rhythm beat the hype.