Goaltending
GOALTENDER
Jonathan Quick
#32 | Goaltender@
GOALTENDER
Jonas Siegenthaler
#71 | Defense| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Jonathan Quick | None-None | 5.21 | 0.853 | -- |
| Jonas Siegenthaler | None-None | -- | -- | -- |
None-None
W-L-OTL
None-None
5.21
GAA
--
0.853
Save %
--
--
SO
--
AI Model Win Probability
RANGERS
100%
DEVILS
0%
RANGERS
--
DEVILS
--
AI Model Projected Total
AI Projection
4.0
Projected
Book Total
--
Over / Under Line
Over 0
100%
Under 0
0%
AI Model Spread Expectation
AI Spread Proj
-2.0
NEW JERSEY
Book Spread
--
Book Line
▲ Edge: +2.0 points (New Jersey)
Spread Distribution
AI Model
+6+4+20-2-4-6
Distribution centered around NJ -2.0 expected margin.
Margin of Victory (NJ)
NYR By 1 goal
6.6%
NYR By 2-3 goals
3.7%
NJ By 1 goal
17.5%
NJ By 2-3 goals
37.2%
AI Model Projected Score
New York
1
NEW YORK
New Jersey
3
NEW JERSEY
Simulated Score
New York
2
NEW YORK
New Jersey
3
NEW JERSEY
Projections Grades
Moneyline (ML)
Agreement
AI
Devils
Win
0% Win Prob
D
Sim
Devils
Win
50% Win Prob
C
Puck Line (ATS)
Agreement
AI
Devils (-1.5)
Win
Proj Goals: -2.0
D
Sim
Devils (+0)
Win
Proj Goals: -1.0
C
Over/Under (Total)
No Consensus
AI
u5.5
Loss
Proj Total: 4.0
D
Sim
u5.5
Win
Proj Total: 5.0
C
Head-to-Head History
Date
Game
Score
Mar 31, 2026
NJ @ NYR
1 - 4
Mar 18, 2026
NJ @ NYR
6 - 3
Mar 7, 2026
NYR @ NJ
3 - 6
Oct 2, 2025
NJ @ NYR
3 - 1
Sep 21, 2025
NYR @ NJ
5 - 3
Key Model Drivers
Shots on Goal (L5)
+30.5% more
New Jersey: 26.2
vs
New York: 20.1
Takeaways (L5)
+27.8% more
New Jersey: 6.0
vs
New York: 4.7
Hits (L5)
+39.3% more
New York: 25.2
vs
New Jersey: 15.3
Power Play % (L5)
+11.9%
New York: 20.0%
vs
New Jersey: 8.1%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
NYR Score
1.0
3
NJ Score
3.0
6
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Season to Date Model Accuracy
AI Model
SIM Engine
NJ
NYR
NJ
NYR
ML
33%
1-2
80%
4-1
67%
2-1
40%
2-3
ATS
0%
0-3
80%
4-1
33%
1-2
60%
3-2
TTL
0%
0-2-1
60%
3-2
50%
1-1-1
60%
3-2