PITTSBURGH

PIRATESPIT

65-70  |  Road

0
FINAL
Wed, Aug 26 • 4:10 PM ET
Petco Park
View Odds Details →

SAN DIEGO

PADRESSD

72-62  |  Home

3
Probable Pitchers
Bubba Chandler
STARTING PITCHER

Bubba Chandler

#36 | Starting Pitcher
@
Randy Vasquez
STARTING PITCHER

Randy Vasquez

#98 | Starting Pitcher
Player W-L ERA WHIP IP K
Bubba Chandler 6-8 4.38 1.37 125.1 114
Randy Vasquez 9-6 4.19 1.31 118.0 74
6-8 W-L 9-6
4.38 ERA Ldr 4.19
1.37 WHIP Ldr 1.31
125.1 Ldr IP (Innings Pitched) 118.0
114 Ldr K (Strikeouts) 74
AI Model Win Probability
PIRATES
41%
📊
PADRES
59%
▲ Edge: +2.10% (SD)
PIRATES 44% Book Odds: +126
PADRES 57% Book Odds: -135
Book Implied: 44.20% / 57.40%
AI Model Projected Total
AI Projection
9.2
Projected
Book Total
8.5
Over / Under Line
▲ Edge: +0.7 (Over)
Over 8.5 57%
Under 8.5 43%
AI Model Spread Expectation
AI Spread Proj
+1.0
PITTSBURGH
Book Spread
+1.5
Book Line
▲ Edge: +0.5 points (Pittsburgh)
PiratesPIT (+1.5) 0 PadresSD (-1.5)
Pittsburgh Pirates (+1.5) expected to cover
Spread Distribution
AI Model

Pirates Cover

59.9%

Padres Cover

40.1%

+12+8+40-4-8-12
Distribution centered around PIT +1.0 expected margin.
Margin of Victory (PIT)

PIT By 1-2 runs

16.3%

PIT By 3-4 runs

10.6%

SD By 1-2 runs

19.6%

SD By 3-4 runs

16.3%

AI Model Projected Score
4.1
PITTSBURGH
Book Implied: 3.50
5.1
SAN DIEGO
Book Implied: 5
Simulated Score
3
PITTSBURGH
Book Implied: 3.50
5
SAN DIEGO
Book Implied: 5
Projections Grades
Moneyline (ML)
Agreement 👑 Top Selection
AI Padres Win
59% Win Prob
B
Sim Padres Win
69% Win Prob
B
Run Line (ATS)
Divergence
AI Pirates (+1.5) Loss
Proj Runs: +1.0
D
Sim Padres (-1.5) Win
Proj Runs: -2.0
D
Over/Under (Total)
Divergence
AI o8.5 Loss
Proj Total: 9.2
C
Sim u8.5 Win
Proj Total: 8.0
D
Head-to-Head History
Date Game Score
Aug 26, 2026 PIT @ SD 0 - 3
Aug 25, 2026 PIT @ SD 1 - 0
Aug 24, 2026 PIT @ SD 3 - 2
Apr 8, 2026 SD @ PIT 8 - 2
Apr 7, 2026 SD @ PIT 1 - 7
Season Statistics Comparison
Pittsburgh PIT
vs
San Diego SD
162 ▲
Games Played
2
4.73
Runs / Game
▲ 6.00
.253
Avg (AVG)
▲ .328
.330
On-Base (OBP)
▲ .362
.404
Slugging (SLG)
▲ .563
.734
OPS
▲ .925
186 ▲
Home Runs
4
Key Model Drivers
Runs per Game (Season) +26.8% more
San Diego: 6.0 vs Pittsburgh: 4.7
OPS (Season) +19.1%
San Diego: 92.5% vs Pittsburgh: 73.4%
Slugging Pct (Season) +15.9%
San Diego: 56.3% vs Pittsburgh: 40.4%
Walks (L5) +8.7% more
San Diego: 3.6 vs Pittsburgh: 3.3
Post-Mortem Analysis
Metric Projected Actual
Score Game
PIT Score 4.1 0
SD Score 5.1 3
Team Stats Splits (Home / Away)
Errors 0.1 / 0.3 0.0 / 1.0
Hits 6.4 / 6.4 7.0 / 5.0
Home Runs 0.8 / 0.8 0.0 / 0.0
Strikeouts 8.7 / 9.9 7.0 / 5.0
Total Bases 10.3 / 10.1 11.0 / 5.0
Walks 3.6 / 3.3 4.0 / 4.0
Public Market Splits
Moneyline
Open: +101 / -121 → +126 / -135 ↑
35%TICKETS65%
6%MONEY94%
Spread (ATS)
Open: -1.5 / +1.5 → +1.5 / -1.5 ↑
28%TICKETS72%
14%MONEY86%
Total (O/U)
Open: 7.5 → 8.5 ↑
44%TICKETS56%
41%MONEY59%
Situational Trends
📊 Win-Loss
PIT
82-80-0 (50.6%)
Margin: 0.2 ATS +/-:
SD Advantage
94-74-0 (56.0%)
Margin: 0.3 ATS +/-:
🎯 ATS (Spread)
PIT
(49.4%)
Margin: 0.2 ATS +/-:
SD Advantage
(57.1%)
Margin: 0.3 ATS +/-:
⚖️ Over/Under
PIT
81-74-7
O: 52.3% / U: 47.7% Total +/-: +1.0
SD
78-85-5
O: 47.9% / U: 52.2% Total +/-: +0.2
Season to Date Model Accuracy
AI Model
SIM Engine
SD
PIT
SD
PIT
ML
51% 85-83
52% 82-77
51% 85-82
52% 85-78
ATS
54% 91-77
54% 86-73
55% 92-75
50% 81-82
TTL
51% 82-80-6
47% 72-81-6
54% 86-74-6
50% 79-78-6