Game Betting Model
Slate: May 7, 2026
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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
HOME
60.2%
Dan Vladar
Likely
0.909
SV%
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.