How are these tiers computed?
Players are clustered with a heteroscedastic Gaussian Mixture Model. Each player has a projection (μ) and a derived uncertainty (σ) from the spread of their 3-, 5-, and 10-game rolling averages. The model groups players with overlapping distributions into the same tier, and BIC picks the number of tiers automatically. This is the same idea Boris Chen popularized for fantasy football rankings, adapted for per-player rolling-window data.

