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

MILWAUKEE

BREWERSMIL

12-10  |  Road

2
FINAL
Mon, Apr 21 • 9:45 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

14-8  |  Home

5
Probable Pitchers
Grant Anderson
STARTING PITCHER

Grant Anderson

#56 | Relief Pitcher
@
Camilo Doval
STARTING PITCHER

Camilo Doval

#57 | Relief Pitcher
Player W-L ERA WHIP IP K
Grant Anderson None-None 3.38 -- 1.0 2
Camilo Doval None-None 2.61 -- 1.0 1
None-None W-L None-None
3.38 ERA Ldr 2.61
-- WHIP --
1.0 IP (Innings Pitched) 1.0
2 Ldr K (Strikeouts) 1
AI Model Win Probability
BREWERS
0%
📊
GIANTS
100%
BREWERS --
GIANTS --
AI Model Projected Total
AI Projection
10.6
Projected
Book Total
--
Over / Under Line
Over 0 0%
Under 0 100%
AI Model Spread Expectation
AI Spread Proj
-0.1
MILWAUKEE
Book Spread
--
Book Line
▲ Edge: +0.1 points (Milwaukee)
BrewersMIL (-3.5) 0 GiantsSF (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Brewers Cover

51.4%

Giants Cover

48.6%

-12-8-40+4+8+12
Distribution centered around MIL -0.1 expected margin.
Margin of Victory (MIL)

MIL By 1-2 runs

18.7%

MIL By 3-4 runs

14.0%

SF By 1-2 runs

18.2%

SF By 3-4 runs

13.2%

AI Model Projected Score
5.35
MILWAUKEE
5.21
SAN FRANCISCO
Simulated Score
5
MILWAUKEE
3
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Agreement
AI Brewers Loss
0% Win Prob
D
Sim Brewers Loss
50% Win Prob
D
Run Line (ATS)
Agreement
AI Brewers (-0) Loss
Proj Runs: -0.1
D
Sim Brewers (-0) Loss
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI o0 Win
Proj Total: 10.6
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
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
Hits (L5) +29.6% more
Milwaukee: 9.8 vs San Francisco: 6.9
Total Bases (L5) +20.7% more
Milwaukee: 13.8 vs San Francisco: 10.9
Runs per Game (Season) +19.6% more
Milwaukee: 5.1 vs San Francisco: 4.1
OPS (Season) +3.7%
Milwaukee: 74.3% vs San Francisco: 70.6%
Post-Mortem Analysis
Metric Projected Actual
Score Game
MIL Score 5.4 2
SF Score 5.2 5
Team Stats Splits (Home / Away)
Errors 0.4 / 0.2 0.0 / 1.0
Hits 6.9 / 9.8 8.0 / 6.0
Home Runs 0.9 / 0.8 1.0 / 1.0
Strikeouts 9.6 / 10.1 9.0 / 6.0
Total Bases 10.9 / 13.8 13.0 / 9.0
Walks 3.1 / 2.4 5.0 / 5.0
Public Market Splits
Moneyline
Open: -- → --
26%TICKETS74%
27%MONEY73%
Spread (ATS)
Open: -- → --
40%TICKETS60%
21%MONEY79%
Total (O/U)
Open: -- → --
58%TICKETS42%
52%MONEY48%
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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