AI Model Win Probability
HORNETS
100%
BEARS
0%
HORNETS
--
BEARS
--
AI Model Projected Total
AI Projection
118.0
Projected
Book Total
--
Over / Under Line
Over 0
100%
Under 0
0%
AI Model Spread Expectation
AI Spread Proj
-22.0
BAYLOR
Book Spread
--
Book Line
▲ Edge: +22.0 points (Baylor)
Spread Distribution
AI Model
+30+20+100-10-20-30
Distribution centered around BAY -22.0 expected margin.
Margin of Victory (BAY)
SAC By 1-7 points
1.1%
SAC By 8-14 points
0.1%
BAY By 1-7 points
5.8%
BAY By 8-14 points
15.3%
AI Model Projected Score
Sacramento State
48
SACRAMENTO STATE
Baylor
70
BAYLOR
Simulated Score
Sacramento State
61
SACRAMENTO STATE
Baylor
88
BAYLOR
Projections Grades
Moneyline (ML)
Agreement
AI
Bears
Win
0% Win Prob
D
Sim
Bears
Win
50% Win Prob
D
Point Spread (ATS)
Agreement
AI
Bears (+29.5)
Win
Proj Spread: -22.0
D
Sim
Bears (+0)
Win
Proj Spread: -27.0
D
Over/Under (Total)
No Consensus
AI
u158.5
Loss
Proj Total: 118.0
D
Sim
u158.5
Win
Proj Total: 149.0
D
Head-to-Head History
Date
Game
Score
Dec 2, 2025
SAC @ BAY
88 - 110
Key Model Drivers
Assists (L5)
+14.4% more
Baylor: 15.1
vs
Sacramento State: 13.2
Field Goal % (L5)
+10.3%
Baylor: 46.8%
vs
Sacramento State: 36.5%
3pt Field Goal % (L5)
+8.7%
Baylor: 36.1%
vs
Sacramento State: 27.4%
Blocks (L5)
+42.4% more
Sacramento State: 4.6
vs
Baylor: 2.7
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
SAC Score
48.0
88
BAY Score
70.0
110
Team Stats Splits (Home / Away)
3pt Field Goal %
36.1 / 27.4
27.0 / 31.0
Assists
15.1 / 13.2
14.0 / 12.0
Blocks
2.7 / 4.6
1.0 / 0.0
Field Goal %
46.8 / 36.5
60.0 / 38.0
Free Throw %
77.7 / 77.2
76.0 / 87.0
Rebounding
38.5 / 40.1
40.0 / 30.0
Steals
5.9 / 8.0
9.0 / 9.0
Turnovers
10.1 / 11.4
12.0 / 13.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Situational Trends
📊 Win-Loss
SAC
10-21-0
(32.3%)
Margin: -4.3
ATS +/-: 0.0
BAY
Advantage
17-17-0
(50.0%)
Margin: 5.3
ATS +/-: -1.1
🎯 ATS (Spread)
SAC
Advantage
13-15-0
(46.4%)
Margin: -4.3
ATS +/-: 0.0
BAY
15-18-0
(45.5%)
Margin: 5.3
ATS +/-: -1.1
⚖️ Over/Under
SAC
15-13-0
O: 53.6% / U: 46.4%
Total +/-: +1.6
BAY
17-16-0
O: 51.5% / U: 48.5%
Total +/-: +3.0
Season to Date Model Accuracy
AI Model
SIM Engine
BAY
SAC
BAY
SAC
ML
58%
19-14
57%
17-13
53%
17-15
87%
26-4
ATS
58%
19-14
73%
22-8
53%
17-15
87%
27-4
TTL
45%
15-18
60%
18-12
100%
32-0
100%
31-0