SAN FRANCISCO
GIANTSSF
23-36 | Road
2
MILWAUKEE
BREWERSMIL
35-21 | Home
16
Probable Pitchers
STARTING PITCHER
Landen Roupp
#65 | Starting Pitcher@
STARTING PITCHER
Grant Anderson
#56 | Relief Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Landen Roupp | None-None | 4.22 | -- | 4.0 | 4 |
| Grant Anderson | None-None | 2.59 | -- | 1.0 | -- |
None-None
W-L
None-None
4.22
ERA
Ldr 2.59
--
WHIP
--
4.0 Ldr
IP (Innings Pitched)
1.0
4 Ldr
K (Strikeouts)
--
AI Model Win Probability
GIANTS
30%
BREWERS
70%
GIANTS
--
BREWERS
--
AI Model Projected Total
AI Projection
12.0
Projected
Book Total
--
Over / Under Line
Over 0
60%
Under 0
40%
AI Model Spread Expectation
AI Spread Proj
-4.0
MILWAUKEE
Book Spread
--
Book Line
▲ Edge: +4.0 points (Milwaukee)
Spread Distribution
AI Model
+12+8+40-4-8-12
Distribution centered around MIL -4.0 expected margin.
Margin of Victory (MIL)
SF By 1-2 runs
7.8%
SF By 3-4 runs
3.5%
MIL By 1-2 runs
16.3%
MIL By 3-4 runs
19.6%
AI Model Projected Score
San Francisco
4
SAN FRANCISCO
Milwaukee
8
MILWAUKEE
Simulated Score
San Francisco
4
SAN FRANCISCO
Milwaukee
6
MILWAUKEE
Projections Grades
Moneyline (ML)
Agreement
AI
Brewers
Win
70% Win Prob
B
Sim
Brewers
Win
50% Win Prob
D
Run Line (ATS)
Agreement
AI
Brewers (-1.5)
Win
Proj Runs: -4.0
D
Sim
Brewers (-1.5)
Win
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI
o7.5
Win
Proj Total: 12.0
C
Sim
o7.5
Win
Proj Total: 10.0
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
Runs per Game (Season)
+24.5% more
Milwaukee: 5.1
vs
San Francisco: 4.1
Strikeouts (L5)
+9.9% more
Milwaukee: 9.3
vs
San Francisco: 8.5
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
4.0
2
MIL Score
8.0
16
Team Stats Splits (Home / Away)
Errors
0.4 / 1.6
0.0 / 1.0
Hits
5.4 / 14.4
18.0 / 5.0
Home Runs
0.8 / 1.6
0.0 / 1.0
Strikeouts
9.3 / 8.5
10.0 / 6.0
Total Bases
9.0 / 25.8
26.0 / 10.0
Walks
2.0 / 4.2
5.0 / 11.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
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
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