Probable Pitchers
STARTING PITCHER
Grayson Rodriguez
#21 | Starting Pitcher@
STARTING PITCHER
Logan Webb
#62 | Starting Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Grayson Rodriguez | 3-3 | 8.54 | 1.77 | 4.0 | 3 |
| Logan Webb | 5-7 | 3.98 | 1.11 | 6.0 | 4 |
3-3
W-L
5-7
8.54
ERA
Ldr 3.98
1.77
WHIP
Ldr 1.11
4.0
IP (Innings Pitched)
Ldr 6.0
3
K (Strikeouts)
Ldr 4
AI Model Win Probability
ANGELS
42%
GIANTS
58%
ANGELS
--
GIANTS
--
AI Model Projected Total
AI Projection
8.6
Projected
Book Total
--
Over / Under Line
Over 0
56%
Under 0
44%
AI Model Spread Expectation
AI Spread Proj
-1.0
SAN FRANCISCO
Book Spread
--
Book Line
▲ Edge: +1.0 points (San Francisco)
Spread Distribution
AI Model
+12+8+40-4-8-12
Distribution centered around SF -1.0 expected margin.
Margin of Victory (SF)
LAA By 1-2 runs
16.3%
LAA By 3-4 runs
10.6%
SF By 1-2 runs
19.6%
SF By 3-4 runs
16.3%
AI Model Projected Score
Los Angeles
3.8
LOS ANGELES
San Francisco
4.8
SAN FRANCISCO
Simulated Score
Los Angeles
4
LOS ANGELES
San Francisco
5
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Agreement
AI
Giants
Win
58% Win Prob
C
Sim
Giants
Win
59% Win Prob
D
Run Line (ATS)
Divergence
AI
Giants (+1.5)
Win
Proj Runs: -1.0
C
Sim
Angels (-1.5)
Loss
Proj Runs: +1.0
D
Over/Under (Total)
No Consensus
AI
o8.5
Win
Proj Total: 8.6
C
Sim
o8.5
Win
Proj Total: 9.0
C
Head-to-Head History
Date
Game
Score
Jul 26, 2026
LAA @ SF
4 - 3
Jul 25, 2026
LAA @ SF
2 - 9
Jul 24, 2026
LAA @ SF
6 - 7
Apr 20, 2025
SF @ LAA
4 - 5
Apr 19, 2025
SF @ LAA
3 - 2
Season Statistics Comparison
Los Angeles
LAA
vs
San Francisco
SF
162
Games Played
162
4.04
Runs / Game
▲
4.13
.234
Avg (AVG)
▲
.245
.310
▲
On-Base (OBP)
.306
.369
Slugging (SLG)
▲
.400
.679
OPS
▲
.706
154
Home Runs
▲
178
Key Model Drivers
Home Runs (L5)
+55.0% more
San Francisco: 1.0
vs
Los Angeles: 0.5
Errors (L5)
+48.0% more
San Francisco: 0.6
vs
Los Angeles: 0.1
Home Runs (Season)
+15.6% more
San Francisco: 178.0
vs
Los Angeles: 154.0
Slugging Pct (Season)
+3.1%
San Francisco: 40.0%
vs
Los Angeles: 36.9%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
LAA Score
3.8
6
SF Score
4.8
7
Team Stats Splits (Home / Away)
Errors
0.6 / 0.1
0.0 / 1.0
Hits
5.6 / 7.8
9.0 / 9.0
Home Runs
1.0 / 0.5
2.0 / 1.0
Strikeouts
8.7 / 9.4
8.0 / 10.0
Total Bases
10.5 / 10.4
16.0 / 16.0
Walks
2.5 / 2.9
5.0 / 5.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Situational Trends
📊 Win-Loss
LAA
62-100-0
(38.3%)
Margin: -0.6
ATS +/-:
SF
Advantage
65-97-0
(40.1%)
Margin: -0.6
ATS +/-:
🎯 ATS (Spread)
LAA
(50.6%)
Margin: -0.6
ATS +/-:
SF
Advantage
(51.2%)
Margin: -0.6
ATS +/-:
⚖️ Over/Under
LAA
71-88-3
O: 44.7% / U: 55.4%
Total +/-: +0.3
SF
76-73-13
O: 51.0% / U: 49.0%
Total +/-: +0.6
Season to Date Model Accuracy
AI Model
SIM Engine
SF
LAA
SF
LAA
ML
49%
79-81
59%
96-66
53%
85-75
55%
89-73
ATS
62%
100-60
60%
97-65
52%
83-77
51%
82-80
TTL
55%
82-68-10
53%
83-74-5
46%
68-81-11
52%
82-75-5