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Moneyline picks ranked by edge against the market.
A multi-layer NHL forecasting process built to estimate true win probability and compare it to market pricing.
Logistic regression estimates baseline win probability using team form, goal differential, expected goals, special teams, rest, and home-ice context.
Daily lineup information and goalie strength adjustments refine game-day expectations beyond season averages.
Model probabilities are compared against implied market probabilities to surface disagreements and quantify edge.
Score distributions are simulated to estimate likely outcomes, projected scores, and confidence around each side.