Goaltending
GOALTENDER
Jonathan Quick
#32 | Goaltender@
GOALTENDER
Logan Thompson
#48 | Goaltender| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Jonathan Quick | None-None | 6.23 | 0.778 | -- |
| Logan Thompson | None-None | 4.03 | 0.879 | -- |
None-None
W-L-OTL
None-None
6.23
GAA
Ldr 4.03
0.778
Save %
Ldr 0.879
--
SO
--
AI Model Win Probability
RANGERS
0%
CAPITALS
100%
RANGERS
--
CAPITALS
--
AI Model Projected Total
AI Projection
4.2
Projected
Book Total
--
Over / Under Line
Over 0
0%
Under 0
100%
AI Model Spread Expectation
AI Spread Proj
-0.1
NEW YORK
Book Spread
--
Book Line
▲ Edge: +0.1 points (New York)
Spread Distribution
AI Model
-6-4-20+2+4+6
Distribution centered around NYR -0.1 expected margin.
Margin of Victory (NYR)
NYR By 1 goal
18.0%
NYR By 2-3 goals
20.0%
WSH By 1 goal
16.9%
WSH By 2-3 goals
17.4%
AI Model Projected Score
New York
2.15
NEW YORK
Washington
2.03
WASHINGTON
Simulated Score
New York
3
NEW YORK
Washington
4
WASHINGTON
Projections Grades
Moneyline (ML)
Divergence
AI
Rangers
Loss
0% Win Prob
D
Sim
Capitals
Win
50% Win Prob
C
Puck Line (ATS)
Divergence
AI
Rangers (-0)
Loss
Proj Goals: -0.1
D
Sim
Capitals (+0)
Win
Proj Goals: -1.0
C
Over/Under (Total)
No Consensus
AI
o0
Win
Proj Total: 4.2
D
Sim
u0.0
Win
Proj Total: 7.0
C
Head-to-Head History
Date
Game
Score
Apr 5, 2026
WSH @ NYR
1 - 8
Dec 31, 2025
NYR @ WSH
3 - 6
Dec 23, 2025
NYR @ WSH
7 - 3
Oct 12, 2025
WSH @ NYR
1 - 0
Mar 5, 2025
WSH @ NYR
3 - 2
Key Model Drivers
Takeaways (L5)
+57.2% more
New York: 6.2
vs
Washington: 2.7
Hits (L5)
+10.8% more
New York: 22.6
vs
Washington: 20.2
Shots on Goal (L5)
+8.2% more
New York: 29.8
vs
Washington: 27.4
Power Play % (L5)
+34.6%
Washington: 39.5%
vs
New York: 5.0%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
NYR Score
2.2
4
WSH Score
2.0
7
Team Stats Splits (Home / Away)
Blocked Shots
17.6 / 17.8
22.0 / 13.0
Faceoff %
53.1 / 49.9
48.5 / 51.5
Hits
20.2 / 22.6
20.0 / 15.0
Power Play %
39.5 / 5.0
50.0 / 0.0
Shots on Goal
27.4 / 29.8
28.0 / 33.0
Takeaways
2.7 / 6.2
2.0 / 1.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Season to Date Model Accuracy
AI Model
SIM Engine
WSH
NYR
WSH
NYR
ML
100%
3-0
80%
4-1
67%
2-1
40%
2-3
ATS
100%
3-0
80%
4-1
67%
2-1
60%
3-2
TTL
33%
1-2
60%
3-2
33%
1-2
60%
3-2