Goaltending
GOALTENDER
Drew Commesso
#33 | G@
GOALTENDER
Juuse Saros
#74 | Goaltender| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Drew Commesso | None-None | 0.00 | 1.000 | 1 |
| Juuse Saros | None-None | 2.11 | 0.900 | -- |
None-None
W-L-OTL
None-None
0.00 Ldr
GAA
2.11
1.000 Ldr
Save %
0.900
1 Ldr
SO
--
AI Model Win Probability
BLACKHAWKS
0%
PREDATORS
100%
BLACKHAWKS
--
PREDATORS
--
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
NASHVILLE
Book Spread
--
Book Line
Spread Distribution
AI Model
-6-4-20+2+4+6
Distribution centered around NSH +1.0 expected margin.
Margin of Victory (NSH)
CHI By 1 goal
19.7%
CHI By 2-3 goals
29.6%
NSH By 1 goal
12.1%
NSH By 2-3 goals
9.3%
AI Model Projected Score
Chicago
3
CHICAGO
Nashville
2
NASHVILLE
Simulated Score
Chicago
2
CHICAGO
Nashville
3
NASHVILLE
Projections Grades
Moneyline (ML)
Divergence
AI
Blackhawks
Win
0% Win Prob
D
Sim
Predators
Loss
50% Win Prob
C
Puck Line (ATS)
Agreement
AI
Predators (+1.5)
Win
Proj Goals: +1.0
D
Sim
Predators (+0)
Loss
Proj Goals: -1.0
C
Over/Under (Total)
No Consensus
AI
u6.5
Win
Proj Total: 5.0
D
Sim
u6.5
Win
Proj Total: 5.0
C
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
Power Play % (L5)
+23.7%
Chicago: 35.5%
vs
Nashville: 11.8%
Faceoff % (L5)
+1.9%
Chicago: 52.6%
vs
Nashville: 50.6%
Blocked Shots (L5)
+45.8% more
Nashville: 14.9
vs
Chicago: 10.2
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
CHI Score
3.0
3
NSH Score
2.0
0
Team Stats Splits (Home / Away)
Blocked Shots
14.9 / 10.2
8.0 / 8.0
Faceoff %
50.6 / 52.6
54.7 / 45.3
Hits
19.9 / 19.6
20.0 / 18.0
Power Play %
11.8 / 35.5
0.0 / 33.3
Shots on Goal
27.6 / 26.4
36.0 / 21.0
Takeaways
6.7 / 6.2
7.0 / 2.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Season to Date Model Accuracy
AI Model
SIM Engine
NSH
CHI
NSH
CHI
ML
67%
2-1
75%
3-1
33%
1-2
75%
3-1
ATS
0%
0-3
75%
3-1
67%
2-1
100%
4-0
TTL
100%
3-0
33%
1-2-1
33%
1-2
67%
2-1-1