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

SAN FRANCISCO

GIANTSSF

62-68  |  Road

4
FINAL
Sun, Aug 24 • 2:10 PM ET
American Family Field
View Odds Details →

MILWAUKEE

BREWERSMIL

81-49  |  Home

3
Probable Pitchers
Rafael Devers
STARTING PITCHER

Rafael Devers

#16 | First Base
@
Trevor Megill
STARTING PITCHER

Trevor Megill

#29 | Relief Pitcher
Player W-L ERA WHIP IP K
Rafael Devers None-None -- -- -- --
Trevor Megill None-None 2.54 -- 1.0 2
None-None W-L None-None
-- ERA 2.54
-- WHIP --
-- IP (Innings Pitched) 1.0
-- K (Strikeouts) 2
AI Model Win Probability
GIANTS
36%
📊
BREWERS
64%
GIANTS --
BREWERS --
AI Model Projected Total
AI Projection
10.8
Projected
Book Total
--
Over / Under Line
Over 0 50%
Under 0 50%
AI Model Spread Expectation
AI Spread Proj
-2.8
MILWAUKEE
Book Spread
--
Book Line
▲ Edge: +2.8 points (Milwaukee)
GiantsSF (-3.5) 0 BrewersMIL (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Giants Cover

23.9%

Brewers Cover

76.1%

+12+8+40-4-8-12
Distribution centered around MIL -2.8 expected margin.
Margin of Victory (MIL)

SF By 1-2 runs

11.1%

SF By 3-4 runs

5.8%

MIL By 1-2 runs

18.7%

MIL By 3-4 runs

19.5%

AI Model Projected Score
3.99
SAN FRANCISCO
6.83
MILWAUKEE
Simulated Score
3
SAN FRANCISCO
5
MILWAUKEE
Projections Grades
Moneyline (ML)
Agreement
AI Brewers Loss
64% Win Prob
C
Sim Brewers Loss
50% Win Prob
D
Run Line (ATS)
Agreement
AI Brewers (+0) Loss
Proj Runs: -2.8
D
Sim Brewers (+0) Loss
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI o0 Win
Proj Total: 10.8
D
Sim u0.0
Proj Total: 8.0
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
Walks (L5) +75.1% more
Milwaukee: 4.9 vs San Francisco: 2.8
Runs per Game (Season) +24.5% more
Milwaukee: 5.1 vs San Francisco: 4.1
Strikeouts (L5) +17.7% more
Milwaukee: 8.7 vs San Francisco: 7.4
OPS (Season) +3.7%
Milwaukee: 74.3% vs San Francisco: 70.6%
Post-Mortem Analysis
Metric Projected Actual
Score Game
SF Score 4.0 4
MIL Score 6.8 3
Team Stats Splits (Home / Away)
Errors 0.8 / 0.7 0.0 / 0.0
Hits 7.3 / 7.2 9.0 / 9.0
Home Runs 0.7 / 1.7 1.0 / 1.0
Strikeouts 8.7 / 7.4 14.0 / 3.0
Total Bases 11.3 / 14.1 15.0 / 13.0
Walks 4.9 / 2.8 3.0 / 4.0
Public Market Splits
Moneyline
Open: -- → --
28%TICKETS72%
13%MONEY87%
Spread (ATS)
Open: -- → --
30%TICKETS70%
13%MONEY87%
Total (O/U)
Open: -- → --
51%TICKETS49%
37%MONEY63%
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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