Goaltending
GOALTENDER
Juuse Saros
#74 | Goaltender@
GOALTENDER
Alex Vlasic
#72 | Defense| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Juuse Saros | None-None | 2.00 | 0.931 | -- |
| Alex Vlasic | None-None | -- | -- | -- |
None-None
W-L-OTL
None-None
2.00
GAA
--
0.931
Save %
--
--
SO
--
AI Model Win Probability
PREDATORS
50%
BLACKHAWKS
50%
PREDATORS
--
BLACKHAWKS
--
AI Model Projected Total
AI Projection
5.0
Projected
Book Total
--
Over / Under Line
Over 0
50%
Under 0
50%
AI Model Spread Expectation
AI Spread Proj
-1.6
NASHVILLE
Book Spread
--
Book Line
▲ Edge: +1.6 points (Nashville)
Spread Distribution
AI Model
-6-4-20+2+4+6
Distribution centered around NSH -1.6 expected margin.
Margin of Victory (NSH)
NSH By 1 goal
18.8%
NSH By 2-3 goals
35.2%
CHI By 1 goal
8.4%
CHI By 2-3 goals
5.3%
AI Model Projected Score
Nashville
3.33
NASHVILLE
Chicago
1.69
CHICAGO
Simulated Score
Nashville
NASHVILLE
Chicago
CHICAGO
Projections Grades
Moneyline (ML)
Divergence
AI
Predators
Win
50% Win Prob
D
Sim
% Win Prob
None
Puck Line (ATS)
Divergence
AI
Predators (-0)
Win
Proj Goals: -1.6
D
Sim
Proj Goals:
None
Over/Under (Total)
No Consensus
AI
o0
Win
Proj Total: 5.0
D
Sim
Proj Total:
None
Head-to-Head History
Date
Game
Score
Mar 22, 2026
NSH @ CHI
3 - 2
Feb 26, 2026
CHI @ NSH
2 - 4
Jan 10, 2026
CHI @ NSH
3 - 0
Nov 28, 2025
NSH @ CHI
4 - 3
Mar 8, 2025
CHI @ NSH
2 - 3
Key Model Drivers
Hits (L5)
+39.7% more
Nashville: 28.2
vs
Chicago: 17.0
Shots on Goal (L5)
+15.3% more
Nashville: 36.6
vs
Chicago: 31.0
Power Play % (L5)
+3.5%
Nashville: 23.2%
vs
Chicago: 19.7%
Faceoff % (L5)
+2.7%
Nashville: 54.0%
vs
Chicago: 51.2%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
NSH Score
3.3
3
CHI Score
1.7
2
Team Stats Splits (Home / Away)
Blocked Shots
17.6 / 12.1
16.0 / 16.0
Faceoff %
51.2 / 54.0
41.9 / 58.1
Hits
17.0 / 28.2
10.0 / 21.0
Power Play %
19.7 / 23.2
0.0 / 20.0
Shots on Goal
31.0 / 36.6
29.0 / 34.0
Takeaways
6.7 / 6.3
8.0 / 7.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Season to Date Model Accuracy
AI Model
SIM Engine
CHI
NSH
CHI
NSH
ML
75%
3-1
67%
2-1
75%
3-1
33%
1-2
ATS
75%
3-1
0%
0-3
100%
4-0
67%
2-1
TTL
33%
1-2-1
100%
3-0
67%
2-1-1
33%
1-2