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Game Betting Model

Slate: May 7, 2026 · 1 game

Machine-learning game winner predictions powered by our data scientist's model. The model uses each team's starting goalie save percentage (or the league average when a starter is unconfirmed) to generate a home-win probability for every matchup. Predictions refresh every hour as goalie confirmations come in.

PHI @ CAR
PHI
PHI
HOME
60.2%
Dan Vladar
Likely
0.909 SV%
CAR
CAR
AWAY
39.8%
Frederik Andersen
Likely
0.888 SV%

* SV% marked with * uses the league average (0.905) — starter unconfirmed. Predictions refresh hourly as goalie confirmations arrive.