ST. LOUIS

CARDINALSSTL

72-74  |  Road

1
FINAL
Tue, Sep 8 • 9:45 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

61-85  |  Home

2
Probable Pitchers
Quinn Mathews
STARTING PITCHER

Quinn Mathews

#60 | Starting Pitcher
@
Landen Roupp
STARTING PITCHER

Landen Roupp

#65 | Starting Pitcher
Player W-L ERA WHIP IP K
Quinn Mathews 1-2 4.38 1.58 24.2 24
Landen Roupp 8-13 4.17 1.29 144.2 137
1-2 W-L 8-13
4.38 ERA Ldr 4.17
1.58 WHIP Ldr 1.29
24.2 IP (Innings Pitched) Ldr 144.2
24 K (Strikeouts) Ldr 137
AI Model Win Probability
CARDINALS
35%
📊
GIANTS
65%
▲ Edge: +14.60% (SF)
CARDINALS 51% Book Odds: -105
GIANTS 51% Book Odds: -103
Book Implied: 51.20% / 50.70%
AI Model Projected Total
AI Projection
9.0
Projected
Book Total
7.5
Over / Under Line
▲ Edge: +1.5 (Over)
Over 7.5 65%
Under 7.5 35%
AI Model Spread Expectation
AI Spread Proj
+1.4
ST. LOUIS
Book Spread
+1.5
Book Line
▲ Edge: +0.1 points (St. Louis)
CardinalsSTL (+1.5) 0 GiantsSF (-1.5)
St. Louis Cardinals (+1.5) expected to cover
Spread Distribution
AI Model

Cardinals Cover

63.7%

Giants Cover

36.3%

+12+8+40-4-8-12
Distribution centered around STL +1.4 expected margin.
Margin of Victory (STL)

STL By 1-2 runs

15.3%

STL By 3-4 runs

9.5%

SF By 1-2 runs

19.7%

SF By 3-4 runs

17.2%

AI Model Projected Score
3.8
ST. LOUIS
Book Implied: 3
5.2
SAN FRANCISCO
Book Implied: 4.50
Simulated Score
4
ST. LOUIS
Book Implied: 3
6
SAN FRANCISCO
Book Implied: 4.50
Projections Grades
Moneyline (ML)
Agreement 👑 Top Selection
AI Giants Win
65% Win Prob
B
Sim Giants Win
69% Win Prob
A
Run Line (ATS)
Divergence 👑 Top Selection
AI Cardinals (+1.5) Win
Proj Runs: +1.4
A
Sim Giants (-1.5) Loss
Proj Runs: -2.0
A
Over/Under (Total)
Agreement 👑 Top Selection
AI o7.5 Loss
Proj Total: 9.0
B
Sim o7.5 Loss
Proj Total: 10.0
A
Head-to-Head History
Date Game Score
Sep 16, 2026 SF @ STL 6 - 5
Sep 15, 2026 SF @ STL 10 - 3
Sep 14, 2026 SF @ STL 1 - 2
Sep 9, 2026 STL @ SF 6 - 7
Sep 8, 2026 STL @ SF 1 - 2
Season Statistics Comparison
St. Louis STL
vs
San Francisco SF
162
Games Played
162
4.44 ▲
Runs / Game
4.13
.239
Avg (AVG)
▲ .245
.313 ▲
On-Base (OBP)
.306
.378
Slugging (SLG)
▲ .400
.691
OPS
▲ .706
167
Home Runs
▲ 178
Key Model Drivers
Home Runs (Season) +6.6% more
San Francisco: 178.0 vs St. Louis: 167.0
Slugging Pct (Season) +2.2%
San Francisco: 40.0% vs St. Louis: 37.8%
OPS (Season) +1.5%
San Francisco: 70.6% vs St. Louis: 69.1%
Batting Avg (Season) +0.6%
San Francisco: 24.5% vs St. Louis: 23.9%
Post-Mortem Analysis
Metric Projected Actual
Score Game
STL Score 3.8 1
SF Score 5.2 2
Team Stats Splits (Home / Away)
Errors 0.4 / 1.0 1.0 / 0.0
Hits 8.5 / 11.2 6.0 / 5.0
Home Runs 1.2 / 1.2 2.0 / 0.0
Strikeouts 5.9 / 10.0 6.0 / 3.0
Total Bases 13.8 / 16.8 13.0 / 5.0
Walks 3.8 / 3.7 3.0 / 6.0
Public Market Splits
Moneyline
Open: -101 / -109 → -105 / -103 ↓
56%TICKETS44%
86%MONEY14%
Spread (ATS)
Open: -1.5 / +1.5 → +1.5 / -1.5 ↑
53%TICKETS47%
73%MONEY27%
Total (O/U)
Open: 8 → 7.5 ↓
90%TICKETS10%
93%MONEY7%
Situational Trends
📊 Win-Loss
STL Advantage
77-85-0 (47.5%)
Margin: -0.2 ATS +/-:
SF
65-97-0 (40.1%)
Margin: -0.6 ATS +/-:
🎯 ATS (Spread)
STL Advantage
(53.7%)
Margin: -0.2 ATS +/-:
SF
(51.2%)
Margin: -0.6 ATS +/-:
⚖️ Over/Under
STL
74-80-8
O: 48.1% / U: 51.9% Total +/-: +0.7
SF
76-73-13
O: 51.0% / U: 49.0% Total +/-: +0.6
Season to Date Model Accuracy
AI Model
SIM Engine
SF
STL
SF
STL
ML
49% 79-81
53% 85-74
53% 85-75
52% 84-77
ATS
62% 100-60
56% 89-70
52% 83-77
53% 85-76
TTL
55% 82-68-10
46% 68-81-10
46% 68-81-11
50% 76-75-10