AI Model Win Probability
DONS
0%
REDHAWKS
100%
DONS
--
REDHAWKS
--
AI Model Projected Total
AI Projection
150.0
Projected
Book Total
--
Over / Under Line
Over 0
0%
Under 0
100%
AI Model Spread Expectation
AI Spread Proj
-12.0
SAN FRANCISCO
Book Spread
--
Book Line
▲ Edge: +12.0 points (San Francisco)
Spread Distribution
AI Model
-30-20-100+10+20+30
Distribution centered around SF -12.0 expected margin.
Margin of Victory (SF)
SF By 1-7 points
20.1%
SF By 8-14 points
27.2%
SEA By 1-7 points
8.0%
SEA By 8-14 points
2.2%
AI Model Projected Score
San Francisco
81
SAN FRANCISCO
Seattle U
69
SEATTLE U
Simulated Score
San Francisco
70
SAN FRANCISCO
Seattle U
76
SEATTLE U
Projections Grades
Moneyline (ML)
Divergence
AI
Dons
Win
0% Win Prob
D
Sim
Redhawks
Loss
50% Win Prob
D
Point Spread (ATS)
Divergence
AI
Dons (-2.5)
Win
Proj Spread: -12.0
D
Sim
Redhawks (+0)
Loss
Proj Spread: -6.0
D
Over/Under (Total)
No Consensus
AI
o144.5
Loss
Proj Total: 150.0
D
Sim
u144.5
Win
Proj Total: 146.0
D
Head-to-Head History
Date
Game
Score
Dec 28, 2025
SF @ SEA
67 - 59
Dec 13, 2023
SEA @ SF
59 - 62
Key Model Drivers
3pt Field Goal % (L5)
+7.0%
San Francisco: 33.4%
vs
Seattle U: 26.4%
Field Goal % (L5)
+4.9%
San Francisco: 48.9%
vs
Seattle U: 44.0%
Steals (L5)
+99.8% more
Seattle U: 9.3
vs
San Francisco: 4.7
Blocks (L5)
+99.3% more
Seattle U: 5.8
vs
San Francisco: 2.9
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
SF Score
81.0
67
SEA Score
69.0
59
Team Stats Splits (Home / Away)
3pt Field Goal %
26.4 / 33.4
17.0 / 31.0
Assists
15.0 / 15.1
6.0 / 11.0
Blocks
5.8 / 2.9
7.0 / 5.0
Field Goal %
44.0 / 48.9
27.0 / 36.0
Free Throw %
74.8 / 68.3
83.0 / 79.0
Rebounding
38.8 / 36.5
43.0 / 44.0
Steals
9.3 / 4.7
5.0 / 1.0
Turnovers
13.0 / 8.5
5.0 / 10.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Situational Trends
📊 Win-Loss
SF
17-16-0
(51.5%)
Margin: 1.5
ATS +/-: -2.4
SEA
Advantage
21-14-0
(60.0%)
Margin: 4.9
ATS +/-: +0.5
🎯 ATS (Spread)
SF
14-18-0
(43.8%)
Margin: 1.5
ATS +/-: -2.4
SEA
Advantage
15-17-1
(46.9%)
Margin: 4.9
ATS +/-: +0.5
⚖️ Over/Under
SF
17-15-0
O: 53.1% / U: 46.9%
Total +/-: +1.1
SEA
13-20-0
O: 39.4% / U: 60.6%
Total +/-: -4.8
Season to Date Model Accuracy
AI Model
SIM Engine
SEA
SF
SEA
SF
ML
46%
16-19
39%
13-20
71%
24-10
64%
21-12
ATS
57%
20-15
42%
14-19
71%
24-10
64%
21-12
TTL
49%
17-18
73%
24-9
100%
34-0
100%
33-0