Home / MLB Projections MLB / Angels @ Giants LAA @ SF

LOS ANGELES

ANGELSLAA

42-64  |  Road

4
FINAL
Sun, Jul 26 • 4:05 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

44-61  |  Home

3
Probable Pitchers
Mitch Farris
STARTING PITCHER

Mitch Farris

#70 | Relief Pitcher
@
Carson Whisenhunt
STARTING PITCHER

Carson Whisenhunt

#88 | SP
Player W-L ERA WHIP IP K
Mitch Farris None-None 3.53 -- 0.2 1
Carson Whisenhunt 2-0 4.60 1.41 5.0 7
None-None W-L 2-0
3.53 Ldr ERA 4.60
-- WHIP 1.41
0.2 IP (Innings Pitched) Ldr 5.0
1 K (Strikeouts) Ldr 7
AI Model Win Probability
ANGELS
36%
📊
GIANTS
64%
ANGELS --
GIANTS --
AI Model Projected Total
AI Projection
7.9
Projected
Book Total
--
Over / Under Line
Over 0 46%
Under 0 54%
AI Model Spread Expectation
AI Spread Proj
-1.7
SAN FRANCISCO
Book Spread
--
Book Line
▲ Edge: +1.7 points (San Francisco)
AngelsLAA (-3.5) 0 GiantsSF (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Angels Cover

33.5%

Giants Cover

66.5%

+12+8+40-4-8-12
Distribution centered around SF -1.7 expected margin.
Margin of Victory (SF)

LAA By 1-2 runs

14.4%

LAA By 3-4 runs

8.6%

SF By 1-2 runs

19.7%

SF By 3-4 runs

17.9%

AI Model Projected Score
3.1
LOS ANGELES
4.8
SAN FRANCISCO
Simulated Score
4
LOS ANGELES
6
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Agreement
AI Giants Loss
64% Win Prob
B
Sim Giants Loss
69% Win Prob
C
Run Line (ATS)
Agreement
AI Giants (+1.5) Win
Proj Runs: -1.7
D
Sim Giants (+1.5) Win
Proj Runs: -2.0
A
Over/Under (Total)
No Consensus
AI u8.5 Win
Proj Total: 7.9
C
Sim o8.5 Loss
Proj Total: 10.0
B
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) +114.0% more
San Francisco: 1.6 vs Los Angeles: 0.4
Total Bases (L5) +29.3% more
San Francisco: 14.9 vs Los Angeles: 11.5
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 3.1 4
SF Score 4.8 3
Team Stats Splits (Home / Away)
Errors 0.3 / 0.6 2.0 / 1.0
Hits 8.1 / 8.5 6.0 / 7.0
Home Runs 1.6 / 0.4 0.0 / 2.0
Strikeouts 8.3 / 8.4 10.0 / 9.0
Total Bases 14.9 / 11.5 8.0 / 14.0
Walks 2.9 / 4.1 6.0 / 3.0
Public Market Splits
Moneyline
Open: -- → --
36%TICKETS64%
50%MONEY50%
Spread (ATS)
Open: -- → --
43%TICKETS57%
47%MONEY53%
Total (O/U)
Open: -- → --
64%TICKETS36%
73%MONEY27%
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
Accuracy:
Elite (>60%)
Good (53-60%)
Neutral (48-52%)
Under (43-47%)
Danger (≤42%)
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