Goaltending
GOALTENDER
Philipp Grubauer
#31 | Goaltender@
GOALTENDER
Jonathan Quick
#32 | Goaltender| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Philipp Grubauer | None-None | 2.00 | 0.909 | -- |
| Jonathan Quick | None-None | 3.10 | 0.893 | -- |
None-None
W-L-OTL
None-None
2.00 Ldr
GAA
3.10
0.909 Ldr
Save %
0.893
--
SO
--
AI Model Win Probability
KRAKEN
100%
RANGERS
0%
KRAKEN
--
RANGERS
--
AI Model Projected Total
AI Projection
7.0
Projected
Book Total
--
Over / Under Line
Over 0
0%
Under 0
100%
AI Model Spread Expectation
AI Spread Proj
-1.0
NEW YORK
Book Spread
--
Book Line
▲ Edge: +1.0 points (New York)
Spread Distribution
AI Model
+6+4+20-2-4-6
Distribution centered around NYR -1.0 expected margin.
Margin of Victory (NYR)
SEA By 1 goal
12.1%
SEA By 2-3 goals
9.3%
NYR By 1 goal
19.7%
NYR By 2-3 goals
29.6%
AI Model Projected Score
Seattle
3
SEATTLE
New York
4
NEW YORK
Simulated Score
Seattle
3
SEATTLE
New York
4
NEW YORK
Projections Grades
Moneyline (ML)
Agreement
AI
Rangers
Loss
0% Win Prob
D
Sim
Rangers
Loss
50% Win Prob
C
Puck Line (ATS)
Agreement
AI
Rangers (+1.5)
Loss
Proj Goals: -1.0
D
Sim
Rangers (+0)
Loss
Proj Goals: -1.0
C
Over/Under (Total)
No Consensus
AI
o6.0
Push
Proj Total: 7.0
D
Sim
u6.0
Win
Proj Total: 7.0
C
Head-to-Head History
Date
Game
Score
Jan 12, 2026
SEA @ NYR
4 - 2
Nov 1, 2025
NYR @ SEA
3 - 2
Dec 8, 2024
SEA @ NYR
7 - 5
Nov 17, 2024
NYR @ SEA
2 - 0
Jan 16, 2024
SEA @ NYR
2 - 5
Key Model Drivers
Hits (L5)
+52.1% more
New York: 28.0
vs
Seattle: 18.4
Shots on Goal (L5)
+20.0% more
New York: 26.9
vs
Seattle: 22.4
Power Play % (L5)
+16.5%
New York: 40.5%
vs
Seattle: 24.0%
Faceoff % (L5)
+4.7%
New York: 54.3%
vs
Seattle: 49.6%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
SEA Score
3.0
4
NYR Score
4.0
2
Team Stats Splits (Home / Away)
Blocked Shots
14.5 / 15.8
3.0 / 19.0
Faceoff %
54.3 / 49.6
52.2 / 47.8
Hits
28.0 / 18.4
31.0 / 20.0
Power Play %
4053.0 / 2404.0
0.0 / 0.0
Shots on Goal
26.9 / 22.4
22.0 / 29.0
Takeaways
4.7 / 5.8
6.0 / 8.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Season to Date Model Accuracy
AI Model
SIM Engine
NYR
SEA
NYR
SEA
ML
80%
4-1
75%
3-1
40%
2-3
25%
1-3
ATS
80%
4-1
75%
3-1
60%
3-2
25%
1-3
TTL
60%
3-2
50%
2-2
60%
3-2
0%
0-4