AI Model Win Probability
HUSKIES
100%
BEARS
0%
HUSKIES
--
BEARS
--
AI Model Projected Total
AI Projection
142.0
Projected
Book Total
--
Over / Under Line
Over 0
100%
Under 0
0%
AI Model Spread Expectation
AI Spread Proj
-4.0
BAYLOR
Book Spread
--
Book Line
▲ Edge: +4.0 points (Baylor)
Spread Distribution
AI Model
+30+20+100-10-20-30
Distribution centered around BAY -4.0 expected margin.
Margin of Victory (BAY)
WASH By 1-7 points
20.1%
WASH By 8-14 points
9.3%
BAY By 1-7 points
27.4%
BAY By 8-14 points
21.6%
AI Model Projected Score
Washington
69
WASHINGTON
Baylor
73
BAYLOR
Simulated Score
Washington
70
WASHINGTON
Baylor
78
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 (+6.5)
Win
Proj Spread: -4.0
D
Sim
Bears (+0)
Win
Proj Spread: -8.0
D
Over/Under (Total)
No Consensus
AI
u156.5
Win
Proj Total: 142.0
D
Sim
u156.5
Win
Proj Total: 148.0
D
Head-to-Head History
Date
Game
Score
Nov 9, 2025
WASH @ BAY
69 - 78
Nov 29, 2020
WASH @ BAY
52 - 86
Nov 8, 2019
WASH @ BAY
67 - 64
Key Model Drivers
Free Throw % (L5)
+3.7%
Baylor: 74.2%
vs
Washington: 70.6%
Steals (L5)
+27.7% more
Washington: 8.1
vs
Baylor: 5.8
Blocks (L5)
+24.1% more
Washington: 3.8
vs
Baylor: 2.9
Turnovers (L5)
+23.0% more
Washington: 11.1
vs
Baylor: 8.6
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
WASH Score
69.0
69
BAY Score
73.0
78
Team Stats Splits (Home / Away)
3pt Field Goal %
32.0 / 35.3
29.0 / 15.0
Assists
13.5 / 17.2
12.0 / 7.0
Blocks
2.9 / 3.8
3.0 / 4.0
Field Goal %
43.7 / 46.9
46.0 / 41.0
Free Throw %
74.2 / 70.6
69.0 / 67.0
Rebounding
37.5 / 36.7
33.0 / 42.0
Steals
5.8 / 8.1
7.0 / 6.0
Turnovers
8.6 / 11.1
9.0 / 12.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Situational Trends
📊 Win-Loss
WASH
16-17-0
(48.5%)
Margin: 3.5
ATS +/-: +0.1
BAY
Advantage
17-17-0
(50.0%)
Margin: 5.3
ATS +/-: -1.1
🎯 ATS (Spread)
WASH
Advantage
20-13-0
(60.6%)
Margin: 3.5
ATS +/-: +0.1
BAY
15-18-0
(45.5%)
Margin: 5.3
ATS +/-: -1.1
⚖️ Over/Under
WASH
15-17-1
O: 46.9% / U: 53.1%
Total +/-: -0.5
BAY
17-16-0
O: 51.5% / U: 48.5%
Total +/-: +3.0
Season to Date Model Accuracy
AI Model
SIM Engine
BAY
WASH
BAY
WASH
ML
58%
19-14
45%
15-18
53%
17-15
66%
21-11
ATS
58%
19-14
48%
16-17
53%
17-15
66%
21-11
TTL
45%
15-18
70%
23-10
100%
32-0
100%
32-0