Goaltending
GOALTENDER
Juuse Saros
#74 | Goaltender@
GOALTENDER
Joey Daccord
#35 | Goaltender| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Juuse Saros | None-None | 2.05 | 0.944 | -- |
| Joey Daccord | None-None | 0.00 | 1.000 | 1 |
None-None
W-L-OTL
None-None
2.05
GAA
Ldr 0.00
0.944
Save %
Ldr 1.000
--
SO
Ldr 1
AI Model Win Probability
PREDATORS
100%
KRAKEN
0%
PREDATORS
--
KRAKEN
--
AI Model Projected Total
AI Projection
4.4
Projected
Book Total
--
Over / Under Line
Over 0
0%
Under 0
100%
AI Model Spread Expectation
AI Spread Proj
-0.3
SEATTLE
Book Spread
--
Book Line
▲ Edge: +0.2 points (Seattle)
Spread Distribution
AI Model
+6+4+20-2-4-6
Distribution centered around SEA -0.3 expected margin.
Margin of Victory (SEA)
NSH By 1 goal
16.3%
NSH By 2-3 goals
16.0%
SEA By 1 goal
18.4%
SEA By 2-3 goals
21.4%
AI Model Projected Score
Nashville
2.07
NASHVILLE
Seattle
2.32
SEATTLE
Simulated Score
Nashville
3
NASHVILLE
Seattle
4
SEATTLE
Projections Grades
Moneyline (ML)
Agreement
AI
Kraken
Win
0% Win Prob
D
Sim
Kraken
Win
50% Win Prob
B
Puck Line (ATS)
Agreement
AI
Kraken (+0)
Win
Proj Goals: -0.3
D
Sim
Kraken (+0)
Win
Proj Goals: -1.0
B
Over/Under (Total)
No Consensus
AI
o0
Win
Proj Total: 4.4
D
Sim
u0.0
Win
Proj Total: 7.0
B
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)
+10.6% more
Seattle: 6.1
vs
Nashville: 5.5
Hits (L5)
+36.2% more
Nashville: 28.4
vs
Seattle: 18.1
Power Play % (L5)
+29.0%
Nashville: 39.4%
vs
Seattle: 10.5%
Blocked Shots (L5)
+12.6% more
Nashville: 16.1
vs
Seattle: 14.1
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
NSH Score
2.1
0
SEA Score
2.3
3
Team Stats Splits (Home / Away)
Blocked Shots
14.1 / 16.1
28.0 / 13.0
Faceoff %
46.2 / 50.9
45.0 / 55.0
Hits
18.1 / 28.4
13.0 / 21.0
Power Play %
1045.0 / 3941.0
0.0 / 0.0
Shots on Goal
26.2 / 24.7
37.0 / 24.0
Takeaways
6.1 / 5.5
9.0 / 1.0
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