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

SAN FRANCISCO

GIANTSSF

24-38  |  Road

12
FINAL
Thu, Jun 4 • 2:10 PM ET
American Family Field
View Odds Details →

MILWAUKEE

BREWERSMIL

37-22  |  Home

9
Probable Pitchers
JT Brubaker
STARTING PITCHER

JT Brubaker

#34 | Relief Pitcher
@
Grant Anderson
STARTING PITCHER

Grant Anderson

#56 | Relief Pitcher
Player W-L ERA WHIP IP K
JT Brubaker None-None 3.09 -- 2.0 1
Grant Anderson None-None 3.16 -- 1.1 1
None-None W-L None-None
3.09 Ldr ERA 3.16
-- WHIP --
2.0 Ldr IP (Innings Pitched) 1.1
1 K (Strikeouts) 1
AI Model Win Probability
GIANTS
31%
📊
BREWERS
69%
GIANTS --
BREWERS --
AI Model Projected Total
AI Projection
11.0
Projected
Book Total
--
Over / Under Line
Over 0 53%
Under 0 47%
AI Model Spread Expectation
AI Spread Proj
-1.0
MILWAUKEE
Book Spread
--
Book Line
▲ Edge: +1.0 points (Milwaukee)
GiantsSF (-3.5) 0 BrewersMIL (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Giants Cover

40.1%

Brewers Cover

59.9%

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

SF By 1-2 runs

16.3%

SF By 3-4 runs

10.6%

MIL By 1-2 runs

19.6%

MIL By 3-4 runs

16.3%

AI Model Projected Score
5
SAN FRANCISCO
6
MILWAUKEE
Simulated Score
4
SAN FRANCISCO
5
MILWAUKEE
Projections Grades
Moneyline (ML)
Agreement
AI Brewers Loss
69% Win Prob
C
Sim Brewers Loss
58% Win Prob
D
Run Line (ATS)
Agreement
AI Brewers (+1.5) Loss
Proj Runs: -1.0
D
Sim Brewers (+1.5) Loss
Proj Runs: -1.0
D
Over/Under (Total)
No Consensus
AI o9.0 Win
Proj Total: 11.0
D
Sim u9.0 Loss
Proj Total: 9.0
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
San Francisco SF
vs
Milwaukee MIL
162
Games Played
162
4.13
Runs / Game
▲ 5.14
.245
Avg (AVG)
▲ .258
.306
On-Base (OBP)
▲ .341
.400
Slugging (SLG)
▲ .403
.706
OPS
▲ .743
178 ▲
Home Runs
154
Key Model Drivers
Strikeouts (L5) +61.9% more
Milwaukee: 10.4 vs San Francisco: 6.4
Runs per Game (Season) +24.5% more
Milwaukee: 5.1 vs San Francisco: 4.1
OPS (Season) +3.7%
Milwaukee: 74.3% vs San Francisco: 70.6%
On-Base Pct (Season) +3.5%
Milwaukee: 34.1% vs San Francisco: 30.6%
Post-Mortem Analysis
Metric Projected Actual
Score Game
SF Score 5.0 12
MIL Score 6.0 9
Team Stats Splits (Home / Away)
Errors 0.1 / 1.3 0.0 / 1.0
Hits 7.7 / 9.9 11.0 / 20.0
Home Runs 0.5 / 1.2 3.0 / 2.0
Strikeouts 10.4 / 6.4 5.0 / 8.0
Total Bases 11.4 / 16.4 22.0 / 31.0
Walks 2.8 / 5.1 2.0 / 8.0
Public Market Splits
Moneyline
Open: -- → --
12%TICKETS88%
9%MONEY91%
Spread (ATS)
Open: -- → --
17%TICKETS83%
12%MONEY88%
Total (O/U)
Open: -- → --
55%TICKETS45%
38%MONEY62%
Situational Trends
📊 Win-Loss
SF
65-97-0 (40.1%)
Margin: -0.6 ATS +/-:
MIL Advantage
106-60-0 (63.9%)
Margin: 1.3 ATS +/-:
🎯 ATS (Spread)
SF
(51.2%)
Margin: -0.6 ATS +/-:
MIL Advantage
(52.4%)
Margin: 1.3 ATS +/-:
⚖️ Over/Under
SF
76-73-13
O: 51.0% / U: 49.0% Total +/-: +0.6
MIL
73-88-5
O: 45.3% / U: 54.7% Total +/-: +0.8
Season to Date Model Accuracy
AI Model
SIM Engine
MIL
SF
MIL
SF
ML
62% 101-61
49% 79-81
52% 84-78
53% 85-75
ATS
58% 94-68
62% 100-60
48% 78-84
52% 83-77
TTL
40% 62-92-8
55% 82-68-10
50% 77-77-8
46% 68-81-11
Accuracy:
Elite (>60%)
Good (53-60%)
Neutral (48-52%)
Under (43-47%)
Danger (≤42%)
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