Goaltending
GOALTENDER
Joey Daccord
#35 | Goaltender@
GOALTENDER
Juuse Saros
#74 | Goaltender| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Joey Daccord | None-None | 4.19 | 0.879 | -- |
| Juuse Saros | None-None | 3.00 | 0.880 | -- |
None-None
W-L-OTL
None-None
4.19
GAA
Ldr 3.00
0.879
Save %
Ldr 0.880
--
SO
--
AI Model Win Probability
KRAKEN
0%
PREDATORS
100%
KRAKEN
--
PREDATORS
--
AI Model Projected Total
AI Projection
4.2
Projected
Book Total
--
Over / Under Line
Over 0
0%
Under 0
100%
AI Model Spread Expectation
AI Spread Proj
-0.2
SEATTLE
Book Spread
--
Book Line
▲ Edge: +0.2 points (Seattle)
Spread Distribution
AI Model
-6-4-20+2+4+6
Distribution centered around SEA -0.2 expected margin.
Margin of Victory (SEA)
SEA By 1 goal
18.3%
SEA By 2-3 goals
20.9%
NSH By 1 goal
16.5%
NSH By 2-3 goals
16.4%
AI Model Projected Score
Seattle
2.18
SEATTLE
Nashville
1.97
NASHVILLE
Simulated Score
Seattle
3
SEATTLE
Nashville
2
NASHVILLE
Projections Grades
Moneyline (ML)
Agreement
AI
Kraken
Loss
0% Win Prob
D
Sim
Kraken
Loss
50% Win Prob
B
Puck Line (ATS)
Agreement
AI
Kraken (-0)
Loss
Proj Goals: -0.2
D
Sim
Kraken (-0)
Loss
Proj Goals: -1.0
B
Over/Under (Total)
No Consensus
AI
o0
Win
Proj Total: 4.2
D
Sim
u0.0
Win
Proj Total: 5.0
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
Power Play % (L5)
+20.3%
Seattle: 25.1%
vs
Nashville: 4.9%
Hits (L5)
+9.4% more
Seattle: 20.0
vs
Nashville: 18.1
Blocked Shots (L5)
+31.0% more
Nashville: 14.7
vs
Seattle: 11.2
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
SEA Score
2.2
3
NSH Score
2.0
5
Team Stats Splits (Home / Away)
Blocked Shots
14.7 / 11.2
22.0 / 16.0
Faceoff %
52.2 / 52.7
62.0 / 38.0
Hits
18.1 / 20.0
26.0 / 24.0
Power Play %
4.9 / 25.1
0.0 / 33.3
Shots on Goal
29.5 / 30.2
34.0 / 25.0
Takeaways
5.2 / 5.1
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
NSH
SEA
NSH
SEA
ML
67%
2-1
75%
3-1
33%
1-2
25%
1-3
ATS
0%
0-3
75%
3-1
67%
2-1
25%
1-3
TTL
100%
3-0
50%
2-2
33%
1-2
0%
0-4