SAN DIEGO

PADRESSD

80-68  |  Road

7
FINAL
Sat, Sep 12 • 4:05 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

62-87  |  Home

6
Probable Pitchers
Michael King
STARTING PITCHER

Michael King

#34 | Starting Pitcher
@
👤
STARTING PITCHER

Cesar Perdomo

#83 | Relief Pitcher
Player W-L ERA WHIP IP K
Michael King 10-9 3.00 1.17 168.0 144
Cesar Perdomo 0-0 0.90 0.80 10.0 8
10-9 W-L 0-0
3.00 ERA Ldr 0.90
1.17 WHIP Ldr 0.80
168.0 Ldr IP (Innings Pitched) 10.0
144 Ldr K (Strikeouts) 8
AI Model Win Probability
PADRES
33%
📊
GIANTS
67%
▲ Edge: +28.40% (SF)
PADRES 63% Book Odds: -172
GIANTS 39% Book Odds: +158
Book Implied: 63.20% / 38.80%
AI Model Projected Total
AI Projection
8.4
Projected
Book Total
8.0
Over / Under Line
▲ Edge: +0.4 (Over)
Over 8.0 60%
Under 8.0 40%
AI Model Spread Expectation
AI Spread Proj
-2.0
SAN FRANCISCO
Book Spread
+1.5
Book Line
▲ Edge: +3.5 points (San Francisco)
PadresSD (-1.5) 0 GiantsSF (+1.5)
San Francisco Giants (+1.5) expected to cover
Spread Distribution
AI Model

Padres Cover

30.9%

Giants Cover

69.1%

+12+8+40-4-8-12
Distribution centered around SF -2.0 expected margin.
Margin of Victory (SF)

SD By 1-2 runs

13.6%

SD By 3-4 runs

7.8%

SF By 1-2 runs

19.6%

SF By 3-4 runs

18.4%

AI Model Projected Score
3.2
SAN DIEGO
Book Implied: 4.80
5.2
SAN FRANCISCO
Book Implied: 3.20
Simulated Score
5
SAN DIEGO
Book Implied: 4.80
6
SAN FRANCISCO
Book Implied: 3.20
Projections Grades
Moneyline (ML)
Agreement
AI Giants Loss
67% Win Prob
A
Sim Giants Loss
59% Win Prob
C
Run Line (ATS)
Agreement
AI Giants (+1.5) Win
Proj Runs: -2.0
A
Sim Giants (+1.5) Win
Proj Runs: -1.0
C
Over/Under (Total)
Agreement 👑 Top Selection
AI o8.0 Win
Proj Total: 8.4
B
Sim o8.0 Win
Proj Total: 11.0
A
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 (Season) +4350.0% more
San Francisco: 178.0 vs San Diego: 4.0
Errors (L5) +112.0% more
San Francisco: 1.3 vs San Diego: 0.1
Home Runs (L5) +13.0% more
San Francisco: 1.0 vs San Diego: 0.8
Walks (L5) +31.4% more
San Diego: 4.6 vs San Francisco: 3.1
Post-Mortem Analysis
Metric Projected Actual
Score Game
SD Score 3.2 7
SF Score 5.2 6
Team Stats Splits (Home / Away)
Errors 1.3 / 0.1 1.0 / 0.0
Hits 7.6 / 10.5 8.0 / 13.0
Home Runs 1.0 / 0.8 4.0 / 2.0
Strikeouts 7.3 / 8.5 4.0 / 8.0
Total Bases 12.6 / 17.3 20.0 / 21.0
Walks 3.1 / 4.6 6.0 / 0.0
Public Market Splits
Moneyline
Open: -150 / +136 → -172 / +158 ↓
84%TICKETS16%
80%MONEY20%
Spread (ATS)
Open: -1.5 / +1.5 → -1.5 / +1.5
76%TICKETS24%
77%MONEY23%
Total (O/U)
Open: 8 → 8
95%TICKETS5%
79%MONEY21%
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