Goaltending
GOALTENDER
Philipp Grubauer
#31 | Goaltender@
GOALTENDER
Egor Zamula
#5 | D| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Philipp Grubauer | None-None | 1.00 | 0.958 | -- |
| Egor Zamula | None-None | -- | -- | -- |
None-None
W-L-OTL
None-None
1.00
GAA
--
0.958
Save %
--
--
SO
--
AI Model Win Probability
KRAKEN
0%
FLYERS
100%
KRAKEN
--
FLYERS
--
AI Model Projected Total
AI Projection
4.7
Projected
Book Total
--
Over / Under Line
Over 0
0%
Under 0
100%
AI Model Spread Expectation
AI Spread Proj
-0.1
SEATTLE
Book Spread
--
Book Line
▲ Edge: +0.1 points (Seattle)
Spread Distribution
AI Model
-6-4-20+2+4+6
Distribution centered around SEA -0.1 expected margin.
Margin of Victory (SEA)
SEA By 1 goal
18.0%
SEA By 2-3 goals
20.0%
PHI By 1 goal
16.9%
PHI By 2-3 goals
17.4%
AI Model Projected Score
Seattle
2.4
SEATTLE
Philadelphia
2.28
PHILADELPHIA
Simulated Score
Seattle
2
SEATTLE
Philadelphia
3
PHILADELPHIA
Projections Grades
Moneyline (ML)
Divergence
AI
Kraken
Win
0% Win Prob
D
Sim
Flyers
Loss
50% Win Prob
C
Puck Line (ATS)
Divergence
AI
Kraken (-0)
Win
Proj Goals: -0.1
D
Sim
Flyers (+0)
Loss
Proj Goals: -1.0
C
Over/Under (Total)
No Consensus
AI
o0
Win
Proj Total: 4.7
D
Sim
u0.0
Win
Proj Total: 5.0
C
Head-to-Head History
Date
Game
Score
Dec 28, 2025
PHI @ SEA
1 - 4
Oct 20, 2025
SEA @ PHI
2 - 5
Mar 8, 2025
SEA @ PHI
4 - 1
Oct 17, 2024
PHI @ SEA
4 - 6
Feb 10, 2024
SEA @ PHI
2 - 3
Key Model Drivers
Power Play % (L5)
+19.6%
Seattle: 27.9%
vs
Philadelphia: 8.3%
Takeaways (L5)
+30.6% more
Philadelphia: 7.1
vs
Seattle: 5.4
Blocked Shots (L5)
+18.2% more
Philadelphia: 15.1
vs
Seattle: 12.8
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
SEA Score
2.4
4
PHI Score
2.3
1
Team Stats Splits (Home / Away)
Blocked Shots
15.1 / 12.8
18.0 / 15.0
Faceoff %
48.8 / 47.8
46.8 / 53.2
Hits
21.8 / 21.3
21.0 / 13.0
Power Play %
827.0 / 2786.0
0.0 / 0.0
Shots on Goal
28.0 / 28.4
24.0 / 32.0
Takeaways
7.1 / 5.4
3.0 / 3.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Season to Date Model Accuracy
AI Model
SIM Engine
PHI
SEA
PHI
SEA
ML
80%
4-1
75%
3-1
40%
2-3
25%
1-3
ATS
40%
2-3
75%
3-1
40%
2-3
25%
1-3
TTL
20%
1-4
50%
2-2
40%
2-3
0%
0-4