MILWAUKEE
BREWERSMIL
66-40 | Road
0
SAN FRANCISCO
GIANTSSF
45-61 | Home
3
Probable Pitchers
STARTING PITCHER
Brandon Sproat
#23 | Starting Pitcher@
STARTING PITCHER
Dylan Smith
#66 | Relief Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Brandon Sproat | 3-5 | 5.05 | 1.38 | 6.0 | 5 |
| Dylan Smith | None-None | 2.65 | -- | 1.0 | 1 |
3-5
W-L
None-None
5.05
ERA
Ldr 2.65
1.38
WHIP
--
6.0 Ldr
IP (Innings Pitched)
1.0
5 Ldr
K (Strikeouts)
1
AI Model Win Probability
BREWERS
40%
GIANTS
60%
BREWERS
--
GIANTS
--
AI Model Projected Total
AI Projection
8.8
Projected
Book Total
--
Over / Under Line
Over 0
54%
Under 0
46%
AI Model Spread Expectation
AI Spread Proj
-1.0
SAN FRANCISCO
Book Spread
--
Book Line
▲ Edge: +1.0 points (San Francisco)
Spread Distribution
AI Model
+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
Milwaukee
3.9
MILWAUKEE
San Francisco
4.9
SAN FRANCISCO
Simulated Score
Milwaukee
5
MILWAUKEE
San Francisco
3
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Divergence
AI
Giants
Win
60% Win Prob
C
Sim
Brewers
Loss
70% Win Prob
C
Run Line (ATS)
Divergence
👑 Top Selection
AI
Giants (+1.5)
Win
Proj Runs: -1.0
B
Sim
Brewers (-1.5)
Loss
Proj Runs: -2.0
B
Over/Under (Total)
No Consensus
AI
o8.5
Loss
Proj Total: 8.8
D
Sim
u8.5
Win
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
Errors (L5)
+45.0% more
San Francisco: 0.8
vs
Milwaukee: 0.4
Strikeouts (L5)
+35.6% more
San Francisco: 8.9
vs
Milwaukee: 6.6
Walks (L5)
+31.6% more
San Francisco: 3.9
vs
Milwaukee: 3.0
Home Runs (Season)
+15.6% more
San Francisco: 178.0
vs
Milwaukee: 154.0
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
MIL Score
3.9
0
SF Score
4.9
3
Team Stats Splits (Home / Away)
Errors
0.8 / 0.4
0.0 / 1.0
Hits
7.4 / 11.0
6.0 / 3.0
Home Runs
1.0 / 1.1
1.0 / 0.0
Strikeouts
8.9 / 6.6
6.0 / 7.0
Total Bases
12.6 / 19.3
10.0 / 3.0
Walks
3.9 / 3.0
4.0 / 2.0
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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