AI Model Win Probability
SEAHAWKS
100%
DOLPHINS
0%
SEAHAWKS
--
DOLPHINS
--
AI Model Projected Total
AI Projection
161.0
Projected
Book Total
--
Over / Under Line
Over 0
0%
Under 0
100%
AI Model Spread Expectation
AI Spread Proj
-1.0
LE MOYNE
Book Spread
--
Book Line
▲ Edge: +1.0 points (Le Moyne)
Spread Distribution
AI Model
+30+20+100-10-20-30
Distribution centered around LEM -1.0 expected margin.
Margin of Victory (LEM)
WAG By 1-7 points
24.3%
WAG By 8-14 points
13.7%
LEM By 1-7 points
26.2%
LEM By 8-14 points
16.9%
AI Model Projected Score
Wagner
80
WAGNER
Le Moyne
81
LE MOYNE
Simulated Score
Wagner
68
WAGNER
Le Moyne
65
LE MOYNE
Projections Grades
Moneyline (ML)
Divergence
AI
Dolphins
Win
0% Win Prob
D
Sim
Seahawks
Loss
50% Win Prob
D
Point Spread (ATS)
Divergence
AI
Dolphins (+7.5)
Win
Proj Spread: -1.0
D
Sim
Seahawks (-0)
Loss
Proj Spread: -3.0
D
Over/Under (Total)
No Consensus
AI
o143.5
Loss
Proj Total: 161.0
D
Sim
u143.5
Win
Proj Total: 133.0
D
Head-to-Head History
Date
Game
Score
Feb 5, 2026
LEM @ WAG
78 - 79
Jan 23, 2026
WAG @ LEM
67 - 69
Feb 13, 2025
WAG @ LEM
68 - 72
Feb 1, 2025
LEM @ WAG
61 - 73
Feb 29, 2024
WAG @ LEM
56 - 70
Key Model Drivers
Blocks (L5)
+163.0% more
Le Moyne: 3.1
vs
Wagner: 1.2
Assists (L5)
+15.4% more
Le Moyne: 12.9
vs
Wagner: 11.1
Turnovers (L5)
+11.8% more
Le Moyne: 13.0
vs
Wagner: 11.7
Field Goal % (L5)
+3.2%
Le Moyne: 49.2%
vs
Wagner: 46.0%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
WAG Score
80.0
67
LEM Score
81.0
69
Team Stats Splits (Home / Away)
3pt Field Goal %
36.7 / 39.1
33.0 / 42.0
Assists
12.9 / 11.1
13.0 / 15.0
Blocks
3.1 / 1.2
2.0 / 1.0
Field Goal %
49.2 / 46.0
37.0 / 49.0
Free Throw %
72.4 / 76.1
71.0 / 58.0
Rebounding
32.8 / 31.5
35.0 / 34.0
Steals
4.7 / 4.6
10.0 / 5.0
Turnovers
13.0 / 11.7
8.0 / 12.0
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
LEM
Advantage
15-17-0
(46.9%)
Margin: -0.2
ATS +/-: +0.9
🎯 ATS (Spread)
WAG
Advantage
16-12-0
(57.1%)
Margin: -0.4
ATS +/-: +2.1
LEM
16-15-0
(51.6%)
Margin: -0.2
ATS +/-: +0.9
⚖️ Over/Under
WAG
15-13-0
O: 53.6% / U: 46.4%
Total +/-: +4.4
LEM
13-18-0
O: 41.9% / U: 58.1%
Total +/-: +1.1
Season to Date Model Accuracy
AI Model
SIM Engine
LEM
WAG
LEM
WAG
ML
68%
21-10
63%
19-11
68%
21-10
57%
17-13
ATS
65%
20-11
60%
18-12
69%
22-10
57%
17-13
TTL
42%
13-18
53%
16-14
100%
32-0
100%
30-0