WAGNER
SEAHAWKSWAG
0-2 | Road
61
FORDHAM
RAMSFOR
1-1 | Home
63
AI Model Win Probability
SEAHAWKS
0%
RAMS
100%
SEAHAWKS
--
RAMS
--
AI Model Projected Total
AI Projection
117.0
Projected
Book Total
--
Over / Under Line
Over 0
100%
Under 0
0%
AI Model Spread Expectation
AI Spread Proj
+9.0
FORDHAM
Book Spread
--
Book Line
Spread Distribution
AI Model
-30-20-100+10+20+30
Distribution centered around FOR +9.0 expected margin.
Margin of Victory (FOR)
WAG By 1-7 points
24.3%
WAG By 8-14 points
26.8%
FOR By 1-7 points
12.2%
FOR By 8-14 points
4.0%
AI Model Projected Score
Wagner
63
WAGNER
Fordham
54
FORDHAM
Simulated Score
Wagner
65
WAGNER
Fordham
72
FORDHAM
Projections Grades
Moneyline (ML)
Divergence
AI
Seahawks
Loss
0% Win Prob
D
Sim
Rams
Win
50% Win Prob
D
Point Spread (ATS)
Agreement
AI
Rams (+12.5)
Win
Proj Spread: +9.0
D
Sim
Rams (+0)
Win
Proj Spread: -7.0
D
Over/Under (Total)
No Consensus
AI
u139.5
Win
Proj Total: 117.0
D
Sim
u139.5
Win
Proj Total: 137.0
D
Head-to-Head History
Date
Game
Score
Nov 11, 2025
WAG @ FOR
61 - 63
Nov 6, 2023
WAG @ FOR
64 - 68
Dec 6, 2022
WAG @ FOR
59 - 72
Key Model Drivers
Turnovers (L5)
+21.8% more
Wagner: 15.1
vs
Fordham: 11.8
3pt Field Goal % (L5)
+9.9%
Wagner: 36.1%
vs
Fordham: 26.2%
Steals (L5)
+48.3% more
Fordham: 9.6
vs
Wagner: 6.4
Blocks (L5)
+46.6% more
Fordham: 3.4
vs
Wagner: 2.3
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
WAG Score
63.0
61
FOR Score
54.0
63
Team Stats Splits (Home / Away)
3pt Field Goal %
26.2 / 36.1
25.0 / 41.0
Assists
16.9 / 12.1
9.0 / 18.0
Blocks
3.4 / 2.3
3.0 / 2.0
Field Goal %
45.1 / 40.7
42.0 / 39.0
Free Throw %
72.9 / 56.3
71.0 / 50.0
Rebounding
46.7 / 33.3
34.0 / 39.0
Steals
9.6 / 6.4
7.0 / 3.0
Turnovers
11.8 / 15.1
6.0 / 9.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Situational Trends
📊 Win-Loss
WAG
14-17-0
(45.2%)
Margin: -0.4
ATS +/-: +2.1
FOR
Advantage
17-15-0
(53.1%)
Margin: 4.4
ATS +/-: +1.6
🎯 ATS (Spread)
WAG
16-12-0
(57.1%)
Margin: -0.4
ATS +/-: +2.1
FOR
16-12-1
(57.1%)
Margin: 4.4
ATS +/-: +1.6
⚖️ Over/Under
WAG
15-13-0
O: 53.6% / U: 46.4%
Total +/-: +4.4
FOR
7-22-0
O: 24.1% / U: 75.9%
Total +/-: -6.8
Season to Date Model Accuracy
AI Model
SIM Engine
FOR
WAG
FOR
WAG
ML
59%
19-13
63%
19-11
59%
19-13
57%
17-13
ATS
59%
19-13
60%
18-12
59%
19-13
57%
17-13
TTL
59%
19-13
53%
16-14
100%
32-0
100%
30-0
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