SAN FRANCISCO
GIANTSSF
32-26 | Road
4
MIAMI
MARLINSMIA
23-33 | Home
2
Probable Pitchers
STARTING PITCHER
Camilo Doval
#57 | Relief Pitcher@
STARTING PITCHER
Cade Gibson
#58 | Relief Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Camilo Doval | None-None | 1.04 | -- | 1.1 | -- |
| Cade Gibson | None-None | 1.20 | -- | 1.0 | -- |
None-None
W-L
None-None
1.04 Ldr
ERA
1.20
--
WHIP
--
1.1 Ldr
IP (Innings Pitched)
1.0
--
K (Strikeouts)
--
AI Model Win Probability
GIANTS
0%
MARLINS
100%
GIANTS
--
MARLINS
--
AI Model Projected Total
AI Projection
6.2
Projected
Book Total
--
Over / Under Line
Over 0
0%
Under 0
100%
AI Model Spread Expectation
AI Spread Proj
-0.3
SAN FRANCISCO
Book Spread
--
Book Line
▲ Edge: +0.3 points (San Francisco)
Spread Distribution
AI Model
-12-8-40+4+8+12
Distribution centered around SF -0.3 expected margin.
Margin of Victory (SF)
SF By 1-2 runs
18.9%
SF By 3-4 runs
14.4%
MIA By 1-2 runs
17.9%
MIA By 3-4 runs
12.7%
AI Model Projected Score
San Francisco
3.24
SAN FRANCISCO
Miami
2.96
MIAMI
Simulated Score
San Francisco
3
SAN FRANCISCO
Miami
5
MIAMI
Projections Grades
Moneyline (ML)
Divergence
AI
Giants
Win
0% Win Prob
D
Sim
Marlins
Loss
50% Win Prob
D
Run Line (ATS)
Divergence
AI
Giants (-0)
Win
Proj Runs: -0.3
D
Sim
Marlins (+0)
Loss
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI
o0
Win
Proj Total: 6.2
D
Sim
u0.0
Proj Total: 8.0
D
Head-to-Head History
Date
Game
Score
Jun 21, 2026
SF @ MIA
1 - 2
Jun 20, 2026
SF @ MIA
3 - 6
Jun 19, 2026
SF @ MIA
3 - 4
Apr 26, 2026
MIA @ SF
3 - 6
Apr 25, 2026
MIA @ SF
2 - 6
Season Statistics Comparison
San Francisco
SF
vs
Miami
MIA
162
Games Played
162
4.13
Runs / Game
▲
4.41
.245
Avg (AVG)
▲
.249
.306
On-Base (OBP)
▲
.326
.400
Slugging (SLG)
.400
.706
OPS
▲
.727
178
▲
Home Runs
168
Key Model Drivers
Hits (L5)
+23.9% more
San Francisco: 8.3
vs
Miami: 6.3
Strikeouts (L5)
+23.8% more
San Francisco: 10.6
vs
Miami: 8.1
Total Bases (L5)
+18.2% more
San Francisco: 11.3
vs
Miami: 9.2
Home Runs (Season)
+5.6% more
San Francisco: 178.0
vs
Miami: 168.0
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
SF Score
3.2
4
MIA Score
3.0
2
Team Stats Splits (Home / Away)
Errors
0.9 / 0.4
0.0 / 0.0
Hits
6.3 / 8.3
9.0 / 8.0
Home Runs
0.6 / 0.5
0.0 / 1.0
Strikeouts
8.1 / 10.6
8.0 / 9.0
Total Bases
9.2 / 11.3
12.0 / 11.0
Walks
3.3 / 3.3
4.0 / 5.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Situational Trends
📊 Win-Loss
SF
65-97-0
(40.1%)
Margin: -0.6
ATS +/-:
MIA
Advantage
80-82-0
(49.4%)
Margin: 0.0
ATS +/-:
🎯 ATS (Spread)
SF
(51.2%)
Margin: -0.6
ATS +/-:
MIA
(51.2%)
Margin: 0.0
ATS +/-:
⚖️ Over/Under
SF
76-73-13
O: 51.0% / U: 49.0%
Total +/-: +0.6
MIA
82-75-5
O: 52.2% / U: 47.8%
Total +/-: +0.6
Season to Date Model Accuracy
AI Model
SIM Engine
MIA
SF
MIA
SF
ML
48%
78-84
49%
79-81
55%
88-72
53%
85-75
ATS
56%
91-71
62%
100-60
54%
86-74
52%
83-77
TTL
56%
88-69-5
55%
82-68-10
53%
82-73-5
46%
68-81-11
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