LOS ANGELES
DODGERSLAD
99-62 | Road
4
SAN FRANCISCO
GIANTSSF
65-96 | Home
3
Probable Pitchers
STARTING PITCHER
Blake Snell
#7 | Starting Pitcher@
👤
STARTING PITCHER
Matt Wilkinson
#71 | Starting Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Blake Snell | 4-1 | 1.86 | 1.09 | 38.2 | 52 |
| Matt Wilkinson | 1-3 | 3.65 | 1.01 | 24.2 | 18 |
4-1
W-L
1-3
1.86 Ldr
ERA
3.65
1.09
WHIP
Ldr 1.01
38.2 Ldr
IP (Innings Pitched)
24.2
52 Ldr
K (Strikeouts)
18
AI Model Win Probability
DODGERS
50%
GIANTS
50%
▲ Edge: +19.20% (SF)
DODGERS
74%
Book Odds: -287
GIANTS
30%
Book Odds: +229
AI Model Projected Total
AI Projection
9.0
Projected
Book Total
7.0
Over / Under Line
▲
Edge: +2.0 (Over)
Over 7.0
69%
Under 7.0
31%
AI Model Spread Expectation
AI Spread Proj
+1.4
SAN FRANCISCO
Book Spread
+1.5
Book Line
▲ Edge: +0.1 points (San Francisco)
Spread Distribution
AI Model
-12-8-40+4+8+12
Distribution centered around SF +1.4 expected margin.
Margin of Victory (SF)
LAD By 1-2 runs
19.7%
LAD By 3-4 runs
17.2%
SF By 1-2 runs
15.3%
SF By 3-4 runs
9.5%
AI Model Projected Score
Los Angeles
5.2
LOS ANGELES
Book Implied: 4.20
San Francisco
3.8
SAN FRANCISCO
Book Implied: 2.80
Simulated Score
Los Angeles
5
LOS ANGELES
Book Implied: 4.20
San Francisco
6
SAN FRANCISCO
Book Implied: 2.80
Projections Grades
Moneyline (ML)
Divergence
AI
Dodgers
Win
50% Win Prob
D
Sim
Giants
Loss
59% Win Prob
C
Run Line (ATS)
Agreement
AI
Giants (+1.5)
Win
Proj Runs: +1.4
D
Sim
Giants (+1.5)
Win
Proj Runs: -1.0
B
Over/Under (Total)
Agreement
👑 Top Selection
AI
o7.0
Push
Proj Total: 9.0
A
Sim
o7.0
Push
Proj Total: 11.0
A
Head-to-Head History
Date
Game
Score
Sep 26, 2026
LAD @ SF
4 - 3
Sep 25, 2026
LAD @ SF
2 - 0
Sep 20, 2026
SF @ LAD
1 - 3
Sep 19, 2026
SF @ LAD
4 - 10
Sep 18, 2026
SF @ LAD
2 - 8
Season Statistics Comparison
Los Angeles
LAD
vs
San Francisco
SF
161
▲
Games Played
160
4.94
▲
Runs / Game
4.16
.257
▲
Avg (AVG)
.245
.338
▲
On-Base (OBP)
.307
.425
▲
Slugging (SLG)
.401
.763
▲
OPS
.708
203
▲
Home Runs
178
Key Model Drivers
Home Runs (L5)
+79.3% more
Los Angeles: 1.2
vs
San Francisco: 0.3
Total Bases (L5)
+51.1% more
Los Angeles: 13.5
vs
San Francisco: 6.6
Hits (L5)
+38.4% more
Los Angeles: 8.5
vs
San Francisco: 5.2
Runs per Game (Season)
+15.8% more
Los Angeles: 4.9
vs
San Francisco: 4.2
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
LAD Score
5.2
4
SF Score
3.8
3
Team Stats Splits (Home / Away)
Errors
0.8 / 0.4
0.0 / 0.0
Hits
5.2 / 8.5
9.0 / 9.0
Home Runs
0.3 / 1.2
0.0 / 2.0
Strikeouts
11.2 / 8.1
10.0 / 11.0
Total Bases
6.6 / 13.5
15.0 / 16.0
Walks
2.2 / 2.5
1.0 / 3.0
Public Market Splits
Moneyline
Open: -388 / +300
→
-287 / +229
↑
Spread (ATS)
Open: -1.5 / +1.5
→
-1.5 / +1.5
Total (O/U)
Open: 7.5
→
7
↓
Situational Trends
📊 Win-Loss
LAD
Advantage
98-62-0
(61.3%)
Margin: 1.2
ATS +/-:
SF
65-95-0
(40.6%)
Margin: -0.5
ATS +/-:
🎯 ATS (Spread)
LAD
(42.5%)
Margin: 1.2
ATS +/-:
SF
Advantage
(51.2%)
Margin: -0.5
ATS +/-:
⚖️ Over/Under
LAD
72-84-4
O: 46.2% / U: 53.8%
Total +/-: +0.1
SF
76-72-12
O: 51.3% / U: 48.7%
Total +/-: +0.6
Season to Date Model Accuracy
AI Model
SIM Engine
SF
LAD
SF
LAD
ML
49%
78-81
56%
89-71
53%
85-74
47%
76-85
ATS
62%
99-60
59%
95-65
52%
83-76
44%
71-90
TTL
54%
81-68-10
49%
76-79-5
46%
68-80-11
45%
70-86-5
Contextual Game News
