SAN FRANCISCO

GIANTSSF

58-84  |  Road

6
FINAL
Fri, Sep 4 • 7:10 PM ET
Citi Field
View Odds Details →

NEW YORK

METSNYM

64-77  |  Home

10
Probable Pitchers
👤
STARTING PITCHER

Matt Wilkinson

#71 | Starting Pitcher
@
Nolan McLean
STARTING PITCHER

Nolan McLean

#26 | Starting Pitcher
Player W-L ERA WHIP IP K
Matt Wilkinson 0-2 4.63 1.11 11.2 6
Nolan McLean 10-8 3.06 1.12 155.2 172
0-2 W-L 10-8
4.63 ERA Ldr 3.06
1.11 Ldr WHIP 1.12
11.2 IP (Innings Pitched) Ldr 155.2
6 K (Strikeouts) Ldr 172
AI Model Win Probability
GIANTS
49%
📊
METS
51%
▲ Edge: +11.70% (SF)
GIANTS 37% Book Odds: +168
METS 67% Book Odds: -205
Book Implied: 37.30% / 67.20%
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
SAN FRANCISCO
Book Spread
+1.5
Book Line
▲ Edge: +0.1 points (San Francisco)
GiantsSF (+1.5) 0 MetsNYM (-1.5)
San Francisco Giants (+1.5) expected to cover
Spread Distribution
AI Model

Giants Cover

63.7%

Mets Cover

36.3%

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

SF By 1-2 runs

15.3%

SF By 3-4 runs

9.5%

NYM By 1-2 runs

19.7%

NYM By 3-4 runs

17.2%

AI Model Projected Score
3.8
SAN FRANCISCO
Book Implied: 3
5.2
NEW YORK
Book Implied: 4.50
Simulated Score
3
SAN FRANCISCO
Book Implied: 3
6
NEW YORK
Book Implied: 4.50
Projections Grades
Moneyline (ML)
Agreement
AI Mets Win
51% Win Prob
D
Sim Mets Win
77% Win Prob
A
Run Line (ATS)
Divergence 👑 Top Selection
AI Giants (+1.5) Loss
Proj Runs: +1.4
B
Sim Mets (-1.5) Win
Proj Runs: -3.0
B
Over/Under (Total)
Agreement 👑 Top Selection
AI o7.5 Win
Proj Total: 9.0
A
Sim o7.5 Win
Proj Total: 9.0
A
Head-to-Head History
Date Game Score
Sep 6, 2026 SF @ NYM 2 - 4
Sep 5, 2026 SF @ NYM 9 - 5
Sep 4, 2026 SF @ NYM 6 - 10
Apr 5, 2026 NYM @ SF 5 - 2
Apr 4, 2026 NYM @ SF 9 - 0
Season Statistics Comparison
San Francisco SF
vs
New York NYM
162
Games Played
162
4.13
Runs / Game
▲ 4.31
.245 ▲
Avg (AVG)
.239
.306
On-Base (OBP)
▲ .310
.400 ▲
Slugging (SLG)
.395
.706 ▲
OPS
.705
178
Home Runs
▲ 204
Key Model Drivers
Hits (L5) +28.6% more
New York: 8.9 vs San Francisco: 6.9
Total Bases (L5) +24.8% more
New York: 14.1 vs San Francisco: 11.3
Home Runs (Season) +14.6% more
New York: 204.0 vs San Francisco: 178.0
Runs per Game (Season) +4.4% more
New York: 4.3 vs San Francisco: 4.1
Post-Mortem Analysis
Metric Projected Actual
Score Game
SF Score 3.8 6
NYM Score 5.2 10
Team Stats Splits (Home / Away)
Errors 0.8 / 0.7 0.0 / 1.0
Hits 8.9 / 6.9 9.0 / 12.0
Home Runs 1.0 / 0.9 5.0 / 1.0
Strikeouts 7.3 / 7.0 11.0 / 4.0
Total Bases 14.1 / 11.3 24.0 / 18.0
Walks 2.2 / 5.1 6.0 / 4.0
Public Market Splits
Moneyline
Open: +139 / -168 → +168 / -205 ↑
21%TICKETS79%
7%MONEY93%
Spread (ATS)
Open: +1.5 / -1.5 → +1.5 / -1.5
19%TICKETS81%
5%MONEY95%
Total (O/U)
Open: 9 → 7.5 ↓
91%TICKETS9%
63%MONEY37%
Situational Trends
📊 Win-Loss
SF
65-97-0 (40.1%)
Margin: -0.6 ATS +/-:
NYM Advantage
74-88-0 (45.7%)
Margin: -0.2 ATS +/-:
🎯 ATS (Spread)
SF Advantage
(51.2%)
Margin: -0.6 ATS +/-:
NYM
(46.3%)
Margin: -0.2 ATS +/-:
⚖️ Over/Under
SF
76-73-13
O: 51.0% / U: 49.0% Total +/-: +0.6
NYM
77-73-12
O: 51.3% / U: 48.7% Total +/-: +0.7