AI Model Win Probability
CARDINALS
100%
COWBOYS
0%
CARDINALS
--
COWBOYS
--
AI Model Projected Total
AI Projection
151.0
Projected
Book Total
--
Over / Under Line
Over 0
0%
Under 0
100%
AI Model Spread Expectation
AI Spread Proj
-31.0
MCNEESE
Book Spread
--
Book Line
▲ Edge: +31.0 points (McNeese)
Spread Distribution
AI Model
+30+20+100-10-20-30
Distribution centered around MCN -31.0 expected margin.
Margin of Victory (MCN)
LAM By 1-7 points
0.1%
LAM By 8-14 points
0.0%
MCN By 1-7 points
0.8%
MCN By 8-14 points
4.0%
AI Model Projected Score
Lamar
60
LAMAR
McNeese
91
MCNEESE
Simulated Score
Lamar
70
LAMAR
McNeese
75
MCNEESE
Projections Grades
Moneyline (ML)
Agreement
AI
Cowboys
Win
0% Win Prob
D
Sim
Cowboys
Win
50% Win Prob
D
Point Spread (ATS)
Agreement
AI
Cowboys (-16.5)
Win
Proj Spread: -31.0
D
Sim
Cowboys (+0)
Win
Proj Spread: -5.0
D
Over/Under (Total)
No Consensus
AI
o143.5
Win
Proj Total: 151.0
D
Sim
u143.5
Win
Proj Total: 145.0
D
Head-to-Head History
Date
Game
Score
Jan 31, 2026
MCN @ LAM
64 - 63
Jan 2, 2026
LAM @ MCN
70 - 82
Mar 12, 2025
LAM @ MCN
54 - 63
Mar 1, 2025
MCN @ LAM
68 - 66
Jan 18, 2025
LAM @ MCN
64 - 75
Key Model Drivers
Free Throw % (L5)
+4.0%
McNeese: 74.4%
vs
Lamar: 70.4%
Turnovers (L5)
+11.0% more
Lamar: 11.5
vs
McNeese: 10.2
Assists (L5)
+9.4% more
Lamar: 14.1
vs
McNeese: 12.8
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
LAM Score
60.0
70
MCN Score
91.0
82
Team Stats Splits (Home / Away)
3pt Field Goal %
32.8 / 31.7
33.0 / 31.0
Assists
12.8 / 14.1
8.0 / 11.0
Blocks
4.2 / 4.4
7.0 / 1.0
Field Goal %
44.9 / 45.2
48.0 / 33.0
Free Throw %
74.4 / 70.4
75.0 / 81.0
Rebounding
33.6 / 36.2
37.0 / 36.0
Steals
8.4 / 8.0
9.0 / 3.0
Turnovers
10.2 / 11.5
8.0 / 10.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Situational Trends
📊 Win-Loss
LAM
12-19-0
(38.7%)
Margin: 0.8
ATS +/-: -1.5
MCN
Advantage
28-6-0
(82.4%)
Margin: 12.9
ATS +/-: -0.2
🎯 ATS (Spread)
LAM
12-16-1
(42.9%)
Margin: 0.8
ATS +/-: -1.5
MCN
Advantage
14-16-1
(46.7%)
Margin: 12.9
ATS +/-: -0.2
⚖️ Over/Under
LAM
14-15-0
O: 48.3% / U: 51.7%
Total +/-: -1.1
MCN
14-17-0
O: 45.2% / U: 54.8%
Total +/-: -1.6
Season to Date Model Accuracy
AI Model
SIM Engine
MCN
LAM
MCN
LAM
ML
67%
22-11
55%
16-13
88%
28-4
59%
17-12
ATS
76%
25-8
52%
15-14
88%
28-4
60%
18-12
TTL
42%
14-19
72%
21-8
100%
32-0
100%
30-0