Home / MLB Projections MLB / Brewers @ Giants MIL @ SF

MILWAUKEE

BREWERSMIL

67-41  |  Road

3
FINAL
Wed, Jul 29 • 3:45 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

46-62  |  Home

16
Probable Pitchers
Thomas Pannone
STARTING PITCHER

Thomas Pannone

#33 | Starting Pitcher
@
Logan Webb
STARTING PITCHER

Logan Webb

#62 | Starting Pitcher
Player W-L ERA WHIP IP K
Thomas Pannone 0-0 6.00 0.00 3.0 2
Logan Webb 5-7 3.93 1.12 6.0 4
0-0 W-L 5-7
6.00 ERA Ldr 3.93
0.00 Ldr WHIP 1.12
3.0 IP (Innings Pitched) Ldr 6.0
2 K (Strikeouts) Ldr 4
AI Model Win Probability
BREWERS
41%
📊
GIANTS
59%
BREWERS --
GIANTS --
AI Model Projected Total
AI Projection
8.8
Projected
Book Total
--
Over / Under Line
Over 0 52%
Under 0 48%
AI Model Spread Expectation
AI Spread Proj
-1.0
SAN FRANCISCO
Book Spread
--
Book Line
▲ Edge: +1.0 points (San Francisco)
BrewersMIL (-3.5) 0 GiantsSF (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Brewers Cover

40.1%

Giants Cover

59.9%

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

MIL By 1-2 runs

16.3%

MIL By 3-4 runs

10.6%

SF By 1-2 runs

19.6%

SF By 3-4 runs

16.3%

AI Model Projected Score
3.9
MILWAUKEE
4.9
SAN FRANCISCO
Simulated Score
3
MILWAUKEE
4
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Agreement
AI Giants Win
59% Win Prob
C
Sim Giants Win
59% Win Prob
D
Run Line (ATS)
Agreement 👑 Top Selection
AI Giants (+1.5) Win
Proj Runs: -1.0
B
Sim Giants (+1.5) Win
Proj Runs: -1.0
B
Over/Under (Total)
No Consensus
AI o7.5 Win
Proj Total: 8.8
D
Sim u7.5 Loss
Proj Total: 7.0
D
Head-to-Head History
Date Game Score
Jul 29, 2026 MIL @ SF 3 - 16
Jul 28, 2026 MIL @ SF 8 - 2
Jul 27, 2026 MIL @ SF 0 - 3
Jun 4, 2026 SF @ MIL 12 - 9
Jun 3, 2026 SF @ MIL 1 - 0
Season Statistics Comparison
Milwaukee MIL
vs
San Francisco SF
162
Games Played
162
5.14 ▲
Runs / Game
4.13
.258 ▲
Avg (AVG)
.245
.341 ▲
On-Base (OBP)
.306
.403 ▲
Slugging (SLG)
.400
.743 ▲
OPS
.706
154
Home Runs
▲ 178
Key Model Drivers
Home Runs (L5) +55.0% more
San Francisco: 1.0 vs Milwaukee: 0.5
Strikeouts (L5) +51.4% more
San Francisco: 8.3 vs Milwaukee: 5.5
Home Runs (Season) +15.6% more
San Francisco: 178.0 vs Milwaukee: 154.0
Errors (L5) +35.0% more
Milwaukee: 0.7 vs San Francisco: 0.4
Post-Mortem Analysis
Metric Projected Actual
Score Game
MIL Score 3.9 3
SF Score 4.9 16
Team Stats Splits (Home / Away)
Errors 0.4 / 0.7 1.0 / 3.0
Hits 7.0 / 9.9 17.0 / 8.0
Home Runs 1.0 / 0.5 2.0 / 0.0
Strikeouts 8.3 / 5.5 5.0 / 7.0
Total Bases 11.2 / 15.2 24.0 / 11.0
Walks 3.3 / 3.4 7.0 / 4.0
Public Market Splits
Moneyline
Open: -- → --
74%TICKETS26%
73%MONEY27%
Spread (ATS)
Open: -- → --
66%TICKETS34%
48%MONEY52%
Total (O/U)
Open: -- → --
85%TICKETS15%
79%MONEY21%
Situational Trends
📊 Win-Loss
MIL Advantage
106-60-0 (63.9%)
Margin: 1.3 ATS +/-:
SF
65-97-0 (40.1%)
Margin: -0.6 ATS +/-:
🎯 ATS (Spread)
MIL Advantage
(52.4%)
Margin: 1.3 ATS +/-:
SF
(51.2%)
Margin: -0.6 ATS +/-:
⚖️ Over/Under
MIL
73-88-5
O: 45.3% / U: 54.7% Total +/-: +0.8
SF
76-73-13
O: 51.0% / U: 49.0% Total +/-: +0.6
Season to Date Model Accuracy
AI Model
SIM Engine
SF
MIL
SF
MIL
ML
49% 79-81
62% 101-61
53% 85-75
52% 84-78
ATS
62% 100-60
58% 94-68
52% 83-77
48% 78-84
TTL
55% 82-68-10
40% 62-92-8
46% 68-81-11
50% 77-77-8
Accuracy:
Elite (>60%)
Good (53-60%)
Neutral (48-52%)
Under (43-47%)
Danger (≤42%)
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