Goaltending
GOALTENDER
Jonathan Quick
#32 | Goaltender@
GOALTENDER
Moritz Seider
#53 | Defense| Player | W-L-OTL | GAA | SV% | SO |
|---|---|---|---|---|
| Jonathan Quick | None-None | 1.01 | 0.970 | -- |
| Moritz Seider | None-None | -- | -- | -- |
None-None
W-L-OTL
None-None
1.01
GAA
--
0.970
Save %
--
--
SO
--
AI Model Win Probability
RANGERS
100%
RED WINGS
0%
RANGERS
--
RED WINGS
--
AI Model Projected Total
AI Projection
3.0
Projected
Book Total
--
Over / Under Line
Over 0
100%
Under 0
0%
AI Model Spread Expectation
AI Spread Proj
-1.0
DETROIT
Book Spread
--
Book Line
▲ Edge: +1.0 points (Detroit)
Spread Distribution
AI Model
+6+4+20-2-4-6
Distribution centered around DET -1.0 expected margin.
Margin of Victory (DET)
NYR By 1 goal
12.1%
NYR By 2-3 goals
9.3%
DET By 1 goal
19.7%
DET By 2-3 goals
29.6%
AI Model Projected Score
New York
1
NEW YORK
Detroit
2
DETROIT
Simulated Score
New York
3
NEW YORK
Detroit
4
DETROIT
Projections Grades
Moneyline (ML)
Agreement
AI
Red Wings
Loss
0% Win Prob
D
Sim
Red Wings
Loss
50% Win Prob
B
Puck Line (ATS)
Agreement
AI
Red Wings (+1.5)
Loss
Proj Goals: -1.0
D
Sim
Red Wings (+0)
Loss
Proj Goals: -1.0
B
Over/Under (Total)
No Consensus
AI
u6.0
Win
Proj Total: 3.0
D
Sim
u6.0
Win
Proj Total: 7.0
B
Head-to-Head History
Date
Game
Score
Oct 2, 2026
NYR @ DET
2 - 0
Apr 4, 2026
DET @ NYR
1 - 4
Nov 16, 2025
DET @ NYR
2 - 1
Nov 7, 2025
NYR @ DET
4 - 1
Nov 9, 2024
NYR @ DET
4 - 0
Key Model Drivers
Power Play % (L5)
+12.3%
Detroit: 14.5%
vs
New York: 2.3%
Takeaways (L5)
+59.6% more
New York: 6.7
vs
Detroit: 2.7
Hits (L5)
+36.9% more
New York: 22.4
vs
Detroit: 14.1
Faceoff % (L5)
+3.3%
New York: 53.5%
vs
Detroit: 50.2%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
NYR Score
1.0
4
DET Score
2.0
1
Team Stats Splits (Home / Away)
Blocked Shots
14.4 / 13.6
14.0 / 20.0
Faceoff %
50.2 / 53.5
44.4 / 55.6
Hits
14.1 / 22.4
24.0 / 27.0
Power Play %
14.5 / 2.3
0.0 / 33.3
Shots on Goal
27.4 / 27.9
33.0 / 26.0
Takeaways
2.7 / 6.7
3.0 / 4.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Season to Date Model Accuracy
AI Model
SIM Engine
DET
NYR
DET
NYR
ML
67%
2-1
80%
4-1
33%
1-2
40%
2-3
ATS
33%
1-2
80%
4-1
67%
2-1
60%
3-2
TTL
0%
0-3
60%
3-2
33%
1-2
60%
3-2