Goaltending
GOALTENDER
Juuse Saros
#74 | Goaltender@
GOALTENDER
Philipp Grubauer
#31 | Goaltender| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Juuse Saros | None-None | 3.11 | 0.864 | -- |
| Philipp Grubauer | None-None | 1.00 | 0.960 | -- |
None-None
W-L-OTL
None-None
3.11
GAA
Ldr 1.00
0.864
Save %
Ldr 0.960
--
SO
--
AI Model Win Probability
PREDATORS
0%
KRAKEN
100%
PREDATORS
--
KRAKEN
--
AI Model Projected Total
AI Projection
5.0
Projected
Book Total
--
Over / Under Line
Over 0
100%
Under 0
0%
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)
NSH By 1 goal
19.7%
NSH By 2-3 goals
29.6%
SEA By 1 goal
12.1%
SEA By 2-3 goals
9.3%
AI Model Projected Score
Nashville
3
NASHVILLE
Seattle
2
SEATTLE
Simulated Score
Nashville
2
NASHVILLE
Seattle
3
SEATTLE
Projections Grades
Moneyline (ML)
Divergence
AI
Predators
Loss
0% Win Prob
D
Sim
Kraken
Win
50% Win Prob
C
Puck Line (ATS)
Agreement
AI
Kraken (+1.5)
Win
Proj Goals: +1.0
D
Sim
Kraken (+0)
Win
Proj Goals: -1.0
C
Over/Under (Total)
No Consensus
AI
u5.5
Win
Proj Total: 5.0
D
Sim
u5.5
Win
Proj Total: 5.0
C
Head-to-Head History
Date
Game
Score
Mar 19, 2026
SEA @ NSH
1 - 3
Mar 10, 2026
NSH @ SEA
4 - 2
Jan 1, 2026
NSH @ SEA
1 - 4
Mar 6, 2025
SEA @ NSH
3 - 5
Nov 20, 2024
NSH @ SEA
0 - 3
Key Model Drivers
Takeaways (L5)
+23.2% more
Nashville: 5.2
vs
Seattle: 4.0
Power Play % (L5)
+9.3%
Nashville: 34.8%
vs
Seattle: 25.5%
Faceoff % (L5)
+2.4%
Nashville: 48.7%
vs
Seattle: 46.3%
Blocked Shots (L5)
+16.1% more
Seattle: 16.9
vs
Nashville: 14.5
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
NSH Score
3.0
1
SEA Score
2.0
4
Team Stats Splits (Home / Away)
Blocked Shots
16.9 / 14.5
21.0 / 16.0
Faceoff %
46.3 / 48.7
46.7 / 53.3
Hits
19.8 / 20.6
20.0 / 23.0
Power Play %
25.5 / 34.8
0.0 / 50.0
Shots on Goal
29.2 / 25.5
23.0 / 25.0
Takeaways
4.0 / 5.2
4.0 / 6.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Season to Date Model Accuracy
AI Model
SIM Engine
SEA
NSH
SEA
NSH
ML
75%
3-1
67%
2-1
25%
1-3
33%
1-2
ATS
75%
3-1
0%
0-3
25%
1-3
67%
2-1
TTL
50%
2-2
100%
3-0
0%
0-4
33%
1-2