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SAN FRANCISCO

GIANTSSF

45-37  |  Road

0
FINAL
Sat, Jun 28 • 4:10 PM ET
Rate Field
View Odds Details →

CHICAGO

WHITE SOXCHW

26-56  |  Home

1
Probable Pitchers
Adrian Houser
STARTING PITCHER

Adrian Houser

#12 | SP
@
Grant Taylor
STARTING PITCHER

Grant Taylor

#31 | Relief Pitcher
Player W-L ERA WHIP IP K
Adrian Houser None-None 1.90 -- 7.0 5
Grant Taylor None-None 2.70 -- 2.0 2
None-None W-L None-None
1.90 Ldr ERA 2.70
-- WHIP --
7.0 Ldr IP (Innings Pitched) 2.0
5 Ldr K (Strikeouts) 2
AI Model Win Probability
GIANTS
72%
📊
WHITE SOX
28%
GIANTS --
WHITE SOX --
AI Model Projected Total
AI Projection
7.3
Projected
Book Total
--
Over / Under Line
Over 0 50%
Under 0 50%
AI Model Spread Expectation
AI Spread Proj
-1.4
SAN FRANCISCO
Book Spread
--
Book Line
▲ Edge: +1.4 points (San Francisco)
GiantsSF (-3.5) 0 White SoxCHW (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Giants Cover

64.1%

White Sox Cover

35.9%

-12-8-40+4+8+12
Distribution centered around SF -1.4 expected margin.
Margin of Victory (SF)

SF By 1-2 runs

19.7%

SF By 3-4 runs

17.3%

CHW By 1-2 runs

15.2%

CHW By 3-4 runs

9.4%

AI Model Projected Score
4.38
SAN FRANCISCO
2.94
CHICAGO
Simulated Score
3
SAN FRANCISCO
5
CHICAGO
Projections Grades
Moneyline (ML)
Divergence
AI Giants Loss
72% Win Prob
B
Sim White Sox Win
50% Win Prob
D
Run Line (ATS)
Divergence
AI Giants (-0) Loss
Proj Runs: -1.4
C
Sim White Sox (+0) Win
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI o0 Win
Proj Total: 7.3
D
Sim u0.0
Proj Total: 8.0
D
Head-to-Head History
Date Game Score
May 24, 2026 CHW @ SF 5 - 8
May 23, 2026 CHW @ SF 3 - 10
May 22, 2026 CHW @ SF 9 - 4
Jun 29, 2025 SF @ CHW 2 - 5
Jun 28, 2025 SF @ CHW 0 - 1
Season Statistics Comparison
San Francisco SF
vs
Chicago CHW
162 ▲
Games Played
1
4.13
Runs / Game
▲ 6.00
.245
Avg (AVG)
▲ .324
.306
On-Base (OBP)
▲ .415
.400
Slugging (SLG)
▲ .412
.706
OPS
▲ .826
178 ▲
Home Runs
1
Key Model Drivers
Home Runs (Season) +99.4% more
San Francisco: 178.0 vs Chicago: 1.0
Total Bases (L5) +11.7% more
San Francisco: 12.5 vs Chicago: 11.1
Runs per Game (Season) +45.3% more
Chicago: 6.0 vs San Francisco: 4.1
Home Runs (L5) +12.0% more
Chicago: 0.9 vs San Francisco: 0.8
Post-Mortem Analysis
Metric Projected Actual
Score Game
SF Score 4.4 0
CHW Score 2.9 1
Team Stats Splits (Home / Away)
Errors 0.7 / 0.7 0.0 / 0.0
Hits 7.1 / 7.4 7.0 / 4.0
Home Runs 0.9 / 0.8 1.0 / 0.0
Strikeouts 7.3 / 7.9 7.0 / 8.0
Total Bases 11.1 / 12.5 11.0 / 4.0
Walks 4.2 / 3.8 1.0 / 2.0
Public Market Splits
Moneyline
Open: -- → --
88%TICKETS12%
92%MONEY8%
Spread (ATS)
Open: -- → --
68%TICKETS32%
78%MONEY22%
Total (O/U)
Open: -- → --
47%TICKETS53%
10%MONEY90%
Situational Trends
📊 Win-Loss
SF
65-97-0 (40.1%)
Margin: -0.6 ATS +/-:
CHW Advantage
88-79-0 (52.7%)
Margin: 0.4 ATS +/-:
🎯 ATS (Spread)
SF
(51.2%)
Margin: -0.6 ATS +/-:
CHW Advantage
(58.1%)
Margin: 0.4 ATS +/-:
⚖️ Over/Under
SF
76-73-13
O: 51.0% / U: 49.0% Total +/-: +0.6
CHW
96-69-2
O: 58.2% / U: 41.8% Total +/-: +0.9
Season to Date Model Accuracy
AI Model
SIM Engine
CHW
SF
CHW
SF
ML
49% 81-86
49% 79-81
56% 94-73
53% 85-75
ATS
59% 99-68
62% 100-60
56% 93-74
52% 83-77
TTL
58% 96-69-2
55% 82-68-10
51% 84-81-2
46% 68-81-11
Accuracy:
Elite (>60%)
Good (53-60%)
Neutral (48-52%)
Under (43-47%)
Danger (≤42%)
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