MILWAUKEE
BREWERSMIL
13-11 | Road
2
SAN FRANCISCO
GIANTSSF
15-9 | Home
4
Probable Pitchers
STARTING PITCHER
Jake Bauers
#9 | First Base@
STARTING PITCHER
Camilo Doval
#57 | Relief Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Jake Bauers | None-None | -- | -- | -- | -- |
| Camilo Doval | None-None | 2.45 | -- | 0.2 | 1 |
None-None
W-L
None-None
--
ERA
2.45
--
WHIP
--
--
IP (Innings Pitched)
0.2
--
K (Strikeouts)
1
AI Model Win Probability
BREWERS
0%
GIANTS
100%
BREWERS
--
GIANTS
--
AI Model Projected Total
AI Projection
10.8
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)
Spread Distribution
AI Model
-12-8-40+4+8+12
Distribution centered around MIL -0.1 expected margin.
Margin of Victory (MIL)
MIL By 1-2 runs
18.6%
MIL By 3-4 runs
13.9%
SF By 1-2 runs
18.2%
SF By 3-4 runs
13.2%
AI Model Projected Score
Milwaukee
5.45
MILWAUKEE
San Francisco
5.34
SAN FRANCISCO
Simulated Score
Milwaukee
5
MILWAUKEE
San Francisco
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: 10.8
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
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)
+49.2% more
Milwaukee: 1.2
vs
San Francisco: 0.6
Total Bases (L5)
+20.2% more
Milwaukee: 15.1
vs
San Francisco: 12.1
Runs per Game (Season)
+19.6% more
Milwaukee: 5.1
vs
San Francisco: 4.1
Hits (L5)
+15.0% more
Milwaukee: 10.0
vs
San Francisco: 8.5
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
MIL Score
5.5
2
SF Score
5.3
4
Team Stats Splits (Home / Away)
Errors
0.8 / 0.3
0.0 / 2.0
Hits
8.5 / 10.0
8.0 / 9.0
Home Runs
0.6 / 1.2
0.0 / 0.0
Strikeouts
8.3 / 7.2
8.0 / 7.0
Total Bases
12.1 / 15.1
8.0 / 10.0
Walks
3.8 / 3.5
3.0 / 3.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
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
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