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PHILADELPHIA

FLYERSPHI

33-23-12  |  Road

4
FINAL
Sat, Mar 21 • 4:00 PM ET
SAP Center at San Jose
View Odds Details →

SAN JOSE

SHARKSSJ

32-29-6  |  Home

1
Goaltending
Dan Vladar
GOALTENDER

Dan Vladar

#80 | Goaltender
@
Alex Nedeljkovic
GOALTENDER

Alex Nedeljkovic

#33 | Goaltender
Player W-L-OTL GAA SV% SO
Dan Vladar None-None 1.03 0.960 --
Alex Nedeljkovic None-None 2.04 0.923 --
None-None W-L-OTL None-None
1.03 Ldr GAA 2.04
0.960 Ldr Save % 0.923
-- SO --
AI Model Win Probability
FLYERS
100%
📊
SHARKS
0%
FLYERS --
SHARKS --
AI Model Projected Total
AI Projection
7.0
Projected
Book Total
--
Over / Under Line
Over 0 0%
Under 0 100%
AI Model Spread Expectation
AI Spread Proj
-1.0
SAN JOSE
Book Spread
--
Book Line
▲ Edge: +1.0 points (San Jose)
FlyersPHI (-3.5) 0 SharksSJ (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Flyers Cover

30.9%

Sharks Cover

69.1%

+6+4+20-2-4-6
Distribution centered around SJ -1.0 expected margin.
Margin of Victory (SJ)

PHI By 1 goal

12.1%

PHI By 2-3 goals

9.3%

SJ By 1 goal

19.7%

SJ By 2-3 goals

29.6%

AI Model Projected Score
3
PHILADELPHIA
4
SAN JOSE
Simulated Score
2
PHILADELPHIA
4
SAN JOSE
Projections Grades
Moneyline (ML)
Agreement
AI Sharks Loss
0% Win Prob
D
Sim Sharks Loss
50% Win Prob
C
Puck Line (ATS)
Agreement
AI Sharks (+1.5) Loss
Proj Goals: -1.0
D
Sim Sharks (+0) Loss
Proj Goals: -2.0
C
Over/Under (Total)
No Consensus
AI o6.0 Loss
Proj Total: 7.0
D
Sim u6.0 Win
Proj Total: 6.0
C
Head-to-Head History
Date Game Score
Mar 21, 2026 PHI @ SJ 4 - 1
Dec 9, 2025 SJ @ PHI 1 - 4
Dec 31, 2024 PHI @ SJ 4 - 0
Nov 11, 2024 SJ @ PHI 3 - 4
Mar 12, 2024 SJ @ PHI 2 - 3
Key Model Drivers
Blocked Shots (L5) +27.8% more
San Jose: 18.8 vs Philadelphia: 14.7
Hits (L5) +18.4% more
San Jose: 24.6 vs Philadelphia: 20.7
Power Play % (L5) +20.0%
Philadelphia: 20.4% vs San Jose: 0.4%
Takeaways (L5) +16.5% more
Philadelphia: 6.0 vs San Jose: 5.0
Post-Mortem Analysis
Metric Projected Actual
Score Game
PHI Score 3.0 4
SJ Score 4.0 1
Public Market Splits
Moneyline
Open: -- → --
36%TICKETS64%
24%MONEY76%
Spread (ATS)
Open: -- → --
77%TICKETS23%
38%MONEY62%
Total (O/U)
Open: -- → --
61%TICKETS39%
95%MONEY5%
Season to Date Model Accuracy
AI Model
SIM Engine
SJ
PHI
SJ
PHI
ML
33% 1-2
75% 3-1
0% 0-3
50% 2-2
ATS
33% 1-2
25% 1-3
33% 1-2
25% 1-3
TTL
33% 1-2
25% 1-3
33% 1-2
50% 2-2
Accuracy:
Elite (>60%)
Good (53-60%)
Neutral (48-52%)
Under (43-47%)
Danger (≤42%)
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