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Game Betting Model

Slate: April 15, 2026 · 6 games

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.

SJS @ CHI
SJS
SJS
AWAY
N/A
Yaroslav Askarov
Unconfirmed
0.885 SV%
CHI
CHI
HOME
N/A
Spencer Knight
Unconfirmed
0.902 SV%
No prediction
BUF @ DAL
BUF
BUF
AWAY
N/A
Colten Ellis
Unconfirmed
0.904 SV%
DAL
DAL
HOME
N/A
Jake Oettinger
Unconfirmed
0.900 SV%
No prediction
DET @ FLA
DET
DET
AWAY
N/A
John Gibson
Unconfirmed
0.903 SV%
FLA
FLA
HOME
N/A
Sergei Bobrovsky
Unconfirmed
0.877 SV%
No prediction
NYR @ TBL
NYR
NYR
AWAY
N/A
Igor Shesterkin
Unconfirmed
0.912 SV%
TBL
TBL
HOME
N/A
Andrei Vasilevskiy
Unconfirmed
0.911 SV%
No prediction
OTT @ TOR
OTT
OTT
AWAY
N/A
James Reimer
Unconfirmed
0.881 SV%
TOR
TOR
HOME
N/A
Joseph Woll
Unconfirmed
0.898 SV%
No prediction
SEA @ VGK
SEA
SEA
AWAY
N/A
Nikke Kokko
Unconfirmed
0.911 SV%
VGK
VGK
HOME
N/A
Carter Hart
Unconfirmed
0.887 SV%
No prediction

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