SAN DIEGO
PADRESSD
20-13 | Road
2
SAN FRANCISCO
GIANTSSF
13-21 | Home
3
Probable Pitchers
STARTING PITCHER
Wandy Peralta
#58 | Relief Pitcher@
👤
STARTING PITCHER
Keaton Winn
#67 | Relief Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Wandy Peralta | None-None | 3.38 | -- | 0.2 | 1 |
| Keaton Winn | None-None | 2.45 | -- | 1.0 | -- |
None-None
W-L
None-None
3.38
ERA
Ldr 2.45
--
WHIP
--
0.2
IP (Innings Pitched)
Ldr 1.0
1 Ldr
K (Strikeouts)
--
AI Model Win Probability
PADRES
0%
GIANTS
100%
PADRES
--
GIANTS
--
AI Model Projected Total
AI Projection
8.0
Projected
Book Total
--
Over / Under Line
Over 0
100%
Under 0
0%
AI Model Spread Expectation
AI Spread Proj
-2.0
SAN DIEGO
Book Spread
--
Book Line
▲ Edge: +2.0 points (San Diego)
Spread Distribution
AI Model
-12-8-40+4+8+12
Distribution centered around SD -2.0 expected margin.
Margin of Victory (SD)
SD By 1-2 runs
19.6%
SD By 3-4 runs
18.4%
SF By 1-2 runs
13.6%
SF By 3-4 runs
7.8%
AI Model Projected Score
San Diego
5
SAN DIEGO
San Francisco
3
SAN FRANCISCO
Simulated Score
San Diego
4
SAN DIEGO
San Francisco
5
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Divergence
AI
Padres
Loss
0% Win Prob
D
Sim
Giants
Win
50% Win Prob
D
Run Line (ATS)
Divergence
AI
Padres (+1.5)
Win
Proj Runs: -2.0
D
Sim
Giants (-1.5)
Loss
Proj Runs: -1.0
D
Over/Under (Total)
No Consensus
AI
u8.0
Win
Proj Total: 8.0
D
Sim
o8.0
Loss
Proj Total: 9.0
D
Head-to-Head History
Date
Game
Score
Sep 13, 2026
SD @ SF
6 - 4
Sep 12, 2026
SD @ SF
7 - 6
Sep 11, 2026
SD @ SF
7 - 5
Aug 2, 2026
SF @ SD
4 - 5
Aug 1, 2026
SF @ SD
5 - 6
Season Statistics Comparison
San Diego
SD
vs
San Francisco
SF
2
Games Played
▲
162
6.00
▲
Runs / Game
4.13
.328
▲
Avg (AVG)
.245
.362
▲
On-Base (OBP)
.306
.563
▲
Slugging (SLG)
.400
.925
▲
OPS
.706
4
Home Runs
▲
178
Key Model Drivers
Home Runs (L5)
+85.1% more
San Diego: 1.1
vs
San Francisco: 0.2
Runs per Game (Season)
+31.2% more
San Diego: 6.0
vs
San Francisco: 4.1
Strikeouts (L5)
+28.3% more
San Diego: 9.4
vs
San Francisco: 6.8
OPS (Season)
+21.9%
San Diego: 92.5%
vs
San Francisco: 70.6%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
SD Score
5.0
2
SF Score
3.0
3
Team Stats Splits (Home / Away)
Errors
0.6 / 0.1
0.0 / 0.0
Hits
6.5 / 7.3
6.0 / 3.0
Home Runs
0.2 / 1.1
1.0 / 2.0
Strikeouts
6.8 / 9.4
10.0 / 4.0
Total Bases
9.6 / 11.9
13.0 / 9.0
Walks
3.4 / 4.0
0.0 / 3.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Situational Trends
📊 Win-Loss
SD
Advantage
94-74-0
(56.0%)
Margin: 0.3
ATS +/-:
SF
65-97-0
(40.1%)
Margin: -0.6
ATS +/-:
🎯 ATS (Spread)
SD
Advantage
(57.1%)
Margin: 0.3
ATS +/-:
SF
(51.2%)
Margin: -0.6
ATS +/-:
⚖️ Over/Under
SD
78-85-5
O: 47.9% / U: 52.2%
Total +/-: +0.2
SF
76-73-13
O: 51.0% / U: 49.0%
Total +/-: +0.6
Season to Date Model Accuracy
AI Model
SIM Engine
SF
SD
SF
SD
ML
49%
79-81
51%
85-83
53%
85-75
51%
85-82
ATS
62%
100-60
54%
91-77
52%
83-77
55%
92-75
TTL
55%
82-68-10
51%
82-80-6
46%
68-81-11
54%
86-74-6
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