Goaltending
GOALTENDER
Joel Hofer
#30 | Goaltender@
GOALTENDER
Philipp Grubauer
#31 | Goaltender| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Joel Hofer | None-None | 2.00 | 0.944 | -- |
| Philipp Grubauer | None-None | 3.10 | 0.889 | -- |
None-None
W-L-OTL
None-None
2.00 Ldr
GAA
3.10
0.944 Ldr
Save %
0.889
--
SO
--
AI Model Win Probability
BLUES
0%
KRAKEN
100%
BLUES
--
KRAKEN
--
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
SEATTLE
Book Spread
--
Book Line
Spread Distribution
AI Model
-6-4-20+2+4+6
Distribution centered around SEA +1.0 expected margin.
Margin of Victory (SEA)
STL By 1 goal
19.7%
STL By 2-3 goals
29.6%
SEA By 1 goal
12.1%
SEA By 2-3 goals
9.3%
AI Model Projected Score
St. Louis
4
ST. LOUIS
Seattle
3
SEATTLE
Simulated Score
St. Louis
2
ST. LOUIS
Seattle
5
SEATTLE
Projections Grades
Moneyline (ML)
Divergence
AI
Blues
Win
0% Win Prob
D
Sim
Kraken
Loss
50% Win Prob
B
Puck Line (ATS)
Agreement
AI
Kraken (+1.5)
Win
Proj Goals: +1.0
D
Sim
Kraken (+0)
Loss
Proj Goals: -3.0
B
Over/Under (Total)
No Consensus
AI
o6.0
Loss
Proj Total: 7.0
D
Sim
u6.0
Win
Proj Total: 7.0
B
Head-to-Head History
Date
Game
Score
Mar 4, 2026
STL @ SEA
3 - 2
Feb 26, 2026
SEA @ STL
1 - 5
Nov 8, 2025
SEA @ STL
4 - 3
Apr 12, 2025
STL @ SEA
3 - 4
Feb 25, 2025
SEA @ STL
2 - 7
Key Model Drivers
Power Play % (L5)
+7.0%
St. Louis: 28.6%
vs
Seattle: 21.7%
Blocked Shots (L5)
+43.0% more
Seattle: 16.6
vs
St. Louis: 11.6
Faceoff % (L5)
+2.7%
Seattle: 50.2%
vs
St. Louis: 47.5%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
STL Score
4.0
3
SEA Score
3.0
2
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Season to Date Model Accuracy
AI Model
SIM Engine
SEA
STL
SEA
STL
ML
75%
3-1
33%
1-2
25%
1-3
67%
2-1
ATS
75%
3-1
67%
2-1
25%
1-3
33%
1-2
TTL
50%
2-2
50%
1-1-1
0%
0-4
50%
1-1-1