Goaltending
GOALTENDER
Kris Letang
#58 | Defense@
GOALTENDER
Jacob Fowler
#32 | G| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Kris Letang | None-None | -- | -- | -- |
| Jacob Fowler | None-None | 0.00 | 1.000 | 1 |
None-None
W-L-OTL
None-None
--
GAA
0.00
--
Save %
1.000
--
SO
1
AI Model Win Probability
PENGUINS
0%
CANADIENS
100%
PENGUINS
--
CANADIENS
--
AI Model Projected Total
AI Projection
5.0
Projected
Book Total
--
Over / Under Line
Over 0
0%
Under 0
100%
AI Model Spread Expectation
AI Spread Proj
-1.0
PITTSBURGH
Book Spread
--
Book Line
▲ Edge: +1.0 points (Pittsburgh)
Spread Distribution
AI Model
-6-4-20+2+4+6
Distribution centered around PIT -1.0 expected margin.
Margin of Victory (PIT)
PIT By 1 goal
19.7%
PIT By 2-3 goals
29.6%
MTL By 1 goal
12.1%
MTL By 2-3 goals
9.3%
AI Model Projected Score
Pittsburgh
3
PITTSBURGH
Montreal
2
MONTREAL
Simulated Score
Pittsburgh
2
PITTSBURGH
Montreal
3
MONTREAL
Projections Grades
Moneyline (ML)
Divergence
AI
Penguins
Loss
0% Win Prob
D
Sim
Canadiens
Win
50% Win Prob
C
Puck Line (ATS)
Divergence
AI
Penguins (-0)
Loss
Proj Goals: -1.0
D
Sim
Canadiens (+0)
Win
Proj Goals: -1.0
C
Over/Under (Total)
No Consensus
AI
o0
Win
Proj Total: 5.0
D
Sim
u0.0
Win
Proj Total: 5.0
C
Head-to-Head History
Date
Game
Score
Oct 3, 2026
MTL @ PIT
5 - 6
Dec 21, 2025
MTL @ PIT
3 - 4
Dec 20, 2025
PIT @ MTL
0 - 4
Dec 11, 2025
MTL @ PIT
4 - 2
Dec 12, 2024
PIT @ MTL
9 - 2
Key Model Drivers
Takeaways (L5)
+29.7% more
Pittsburgh: 4.6
vs
Montreal: 3.2
Faceoff % (L5)
+4.7%
Montreal: 51.0%
vs
Pittsburgh: 46.3%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
PIT Score
3.0
0
MTL Score
2.0
4
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Season to Date Model Accuracy
AI Model
SIM Engine
MTL
PIT
MTL
PIT
ML
67%
2-1
75%
3-1
33%
1-2
25%
1-3
ATS
67%
2-1
75%
3-1
100%
3-0
75%
3-1
TTL
33%
1-2
25%
1-3
67%
2-1
50%
2-2