Goaltending
GOALTENDER
Egor Zamula
#5 | D@
GOALTENDER
Igor Shesterkin
#31 | Goaltender| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Egor Zamula | None-None | -- | -- | -- |
| Igor Shesterkin | None-None | 1.00 | 0.971 | -- |
None-None
W-L-OTL
None-None
--
GAA
1.00
--
Save %
0.971
--
SO
--
AI Model Win Probability
FLYERS
100%
RANGERS
0%
FLYERS
--
RANGERS
--
AI Model Projected Total
AI Projection
6.5
Projected
Book Total
--
Over / Under Line
Over 0
0%
Under 0
100%
AI Model Spread Expectation
AI Spread Proj
0.0
NEW YORK
Book Spread
--
Book Line
Spread Distribution
AI Model
+6+4+20-2-4-6
Distribution centered around NYR 0.0 expected margin.
Margin of Victory (NYR)
PHI By 1 goal
17.2%
PHI By 2-3 goals
18.1%
NYR By 1 goal
17.7%
NYR By 2-3 goals
19.2%
AI Model Projected Score
Philadelphia
3.24
PHILADELPHIA
New York
3.29
NEW YORK
Simulated Score
Philadelphia
5
PHILADELPHIA
New York
4
NEW YORK
Projections Grades
Moneyline (ML)
Divergence
AI
Rangers
Win
0% Win Prob
D
Sim
Flyers
Loss
50% Win Prob
C
Puck Line (ATS)
Divergence
AI
Rangers (+0)
Win
Proj Goals: 0.0
D
Sim
Flyers (-0)
Loss
Proj Goals: -1.0
C
Over/Under (Total)
No Consensus
AI
o0
Win
Proj Total: 6.5
D
Sim
u0.0
Win
Proj Total: 9.0
C
Head-to-Head History
Date
Game
Score
Mar 9, 2026
NYR @ PHI
6 - 2
Feb 26, 2026
PHI @ NYR
3 - 2
Jan 17, 2026
NYR @ PHI
6 - 3
Dec 20, 2025
PHI @ NYR
4 - 5
Apr 9, 2025
PHI @ NYR
8 - 5
Key Model Drivers
Power Play % (L5)
+18.6%
New York: 35.2%
vs
Philadelphia: 16.6%
Shots on Goal (L5)
+14.2% more
New York: 28.0
vs
Philadelphia: 24.5
Faceoff % (L5)
+3.0%
New York: 54.0%
vs
Philadelphia: 51.0%
Blocked Shots (L5)
+26.0% more
Philadelphia: 21.3
vs
New York: 15.7
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
PHI Score
3.2
1
NYR Score
3.3
6
Team Stats Splits (Home / Away)
Blocked Shots
15.7 / 21.3
18.0 / 16.0
Faceoff %
54.0 / 51.0
52.6 / 47.4
Hits
18.5 / 18.3
12.0 / 12.0
Power Play %
35.2 / 16.6
50.0 / 0.0
Shots on Goal
28.0 / 24.5
37.0 / 34.0
Takeaways
5.5 / 5.4
6.0 / 0.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Season to Date Model Accuracy
AI Model
SIM Engine
NYR
PHI
NYR
PHI
ML
80%
4-1
75%
3-1
40%
2-3
50%
2-2
ATS
80%
4-1
25%
1-3
60%
3-2
25%
1-3
TTL
60%
3-2
25%
1-3
60%
3-2
50%
2-2