Home / MLB Projections MLB / Giants @ White Sox SF @ CHW

SAN FRANCISCO

GIANTSSF

45-38  |  Road

2
FINAL
Sun, Jun 29 • 2:10 PM ET
Rate Field
View Odds Details →

CHICAGO

WHITE SOXCHW

27-56  |  Home

5
Probable Pitchers
Christian Koss
STARTING PITCHER

Christian Koss

#50 | Shortstop
@
Miguel Vargas
STARTING PITCHER

Miguel Vargas

#20 | Third Base
Player W-L ERA WHIP IP K
Christian Koss None-None -- -- -- --
Miguel Vargas None-None -- -- -- --
None-None W-L None-None
-- ERA --
-- WHIP --
-- IP (Innings Pitched) --
-- K (Strikeouts) --
AI Model Win Probability
GIANTS
71%
📊
WHITE SOX
29%
GIANTS --
WHITE SOX --
AI Model Projected Total
AI Projection
6.9
Projected
Book Total
--
Over / Under Line
Over 0 60%
Under 0 40%
AI Model Spread Expectation
AI Spread Proj
-1.0
SAN FRANCISCO
Book Spread
--
Book Line
▲ Edge: +1.0 points (San Francisco)
GiantsSF (-3.5) 0 White SoxCHW (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Giants Cover

59.6%

White Sox Cover

40.4%

-12-8-40+4+8+12
Distribution centered around SF -1.0 expected margin.
Margin of Victory (SF)

SF By 1-2 runs

19.6%

SF By 3-4 runs

16.2%

CHW By 1-2 runs

16.4%

CHW By 3-4 runs

10.7%

AI Model Projected Score
3.95
SAN FRANCISCO
2.98
CHICAGO
Simulated Score
3
SAN FRANCISCO
5
CHICAGO
Projections Grades
Moneyline (ML)
Divergence
AI Giants Loss
71% Win Prob
B
Sim White Sox Win
50% Win Prob
D
Run Line (ATS)
Divergence
AI Giants (-0) Loss
Proj Runs: -1.0
C
Sim White Sox (+0) Win
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI o0 Win
Proj Total: 6.9
C
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
Strikeouts (L5) +8.7% more
San Francisco: 7.9 vs Chicago: 7.2
Runs per Game (Season) +45.3% more
Chicago: 6.0 vs San Francisco: 4.1
Home Runs (L5) +41.0% more
Chicago: 0.9 vs San Francisco: 0.5
Post-Mortem Analysis
Metric Projected Actual
Score Game
SF Score 4.0 2
CHW Score 3.0 5
Team Stats Splits (Home / Away)
Errors 0.4 / 0.4 0.0 / 1.0
Hits 7.1 / 6.3 11.0 / 6.0
Home Runs 0.9 / 0.5 0.0 / 0.0
Strikeouts 7.2 / 7.9 11.0 / 3.0
Total Bases 11.1 / 9.7 13.0 / 8.0
Walks 3.1 / 3.2 8.0 / 3.0
Public Market Splits
Moneyline
Open: -- → --
85%TICKETS15%
88%MONEY12%
Spread (ATS)
Open: -- → --
63%TICKETS37%
76%MONEY24%
Total (O/U)
Open: -- → --
46%TICKETS54%
55%MONEY45%
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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