I’ve spent years modeling NBA shot selection with Bayesian priors and reinforcement learning, not gut feelings. What looks like a hot streak is often just noise in the data. This piece isn’t about coaching intuition—it’s about the silent signals hidden in the variance. I’ve seen teams collapse under pressure not because of stars, but because their models lacked proper calibration. Here’s how to see what really matters.