Probable Pitchers
STARTING PITCHER
Logan Webb
#62 | Starting Pitcher@
STARTING PITCHER
Sonny Gray
#54 | Starting Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Logan Webb | 8-7 | 3.50 | 1.06 | 139.0 | 110 |
| Sonny Gray | 15-3 | 2.65 | 1.15 | 132.2 | 117 |
8-7
W-L
15-3
3.50
ERA
Ldr 2.65
1.06 Ldr
WHIP
1.15
139.0 Ldr
IP (Innings Pitched)
132.2
110
K (Strikeouts)
Ldr 117
AI Model Win Probability
GIANTS
67%
RED SOX
33%
▲ Edge: +29.20% (SF)
GIANTS
38%
Book Odds: +163
RED SOX
64%
Book Odds: -176
AI Model Projected Total
AI Projection
9.0
Projected
Book Total
7.5
Over / Under Line
▲
Edge: +1.5 (Over)
Over 7.5
64%
Under 7.5
36%
AI Model Spread Expectation
AI Spread Proj
-2.0
SAN FRANCISCO
Book Spread
+1.5
Book Line
▲ Edge: +3.5 points (San Francisco)
Spread Distribution
AI Model
-12-8-40+4+8+12
Distribution centered around SF -2.0 expected margin.
Margin of Victory (SF)
SF By 1-2 runs
19.6%
SF By 3-4 runs
18.4%
BOS By 1-2 runs
13.6%
BOS By 3-4 runs
7.8%
AI Model Projected Score
San Francisco
5.5
SAN FRANCISCO
Book Implied: 3
Boston
3.5
BOSTON
Book Implied: 4.50
Simulated Score
San Francisco
3
SAN FRANCISCO
Book Implied: 3
Boston
5
BOSTON
Book Implied: 4.50
Projections Grades
Moneyline (ML)
Divergence
AI
Giants
Loss
67% Win Prob
B
Sim
Red Sox
Win
69% Win Prob
C
Run Line (ATS)
Divergence
AI
Giants (+1.5)
Loss
Proj Runs: -2.0
A
Sim
Red Sox (-1.5)
Win
Proj Runs: -2.0
C
Over/Under (Total)
Agreement
👑 Top Selection
AI
o7.5
Win
Proj Total: 9.0
B
Sim
o7.5
Win
Proj Total: 8.0
B
Head-to-Head History
Date
Game
Score
Aug 23, 2026
SF @ BOS
4 - 5
Aug 22, 2026
SF @ BOS
2 - 3
Aug 21, 2026
SF @ BOS
4 - 6
Jun 22, 2025
BOS @ SF
5 - 9
Jun 21, 2025
BOS @ SF
2 - 3
Season Statistics Comparison
San Francisco
SF
vs
Boston
BOS
162
▲
Games Played
2
4.13
▲
Runs / Game
1.00
.245
▲
Avg (AVG)
.117
.306
▲
On-Base (OBP)
.159
.400
▲
Slugging (SLG)
.250
.706
▲
OPS
.409
178
▲
Home Runs
2
Key Model Drivers
Home Runs (Season)
+98.9% more
San Francisco: 178.0
vs
Boston: 2.0
Runs per Game (Season)
+75.8% more
San Francisco: 4.1
vs
Boston: 1.0
Errors (L5)
+70.2% more
San Francisco: 1.4
vs
Boston: 0.4
OPS (Season)
+29.7%
San Francisco: 70.6%
vs
Boston: 40.9%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
SF Score
5.5
4
BOS Score
3.5
6
Team Stats Splits (Home / Away)
Errors
0.4 / 1.4
0.0 / 0.0
Hits
10.5 / 6.9
11.0 / 7.0
Home Runs
2.0 / 0.8
1.0 / 2.0
Strikeouts
6.9 / 8.1
3.0 / 12.0
Total Bases
18.4 / 10.4
18.0 / 15.0
Walks
5.4 / 3.4
5.0 / 3.0
Public Market Splits
Moneyline
Open: +144 / -175
→
+163 / -176
Spread (ATS)
Open: +1.5 / -1.5
→
+1.5 / -1.5
Total (O/U)
Open: 8
→
7.5
↓
Situational Trends
📊 Win-Loss
SF
65-97-0
(40.1%)
Margin: -0.6
ATS +/-:
BOS
Advantage
87-77-0
(53.1%)
Margin: 0.4
ATS +/-:
🎯 ATS (Spread)
SF
Advantage
(51.2%)
Margin: -0.6
ATS +/-:
BOS
(46.3%)
Margin: 0.4
ATS +/-:
⚖️ Over/Under
SF
76-73-13
O: 51.0% / U: 49.0%
Total +/-: +0.6
BOS
74-86-4
O: 46.3% / U: 53.8%
Total +/-: 0.0
Season to Date Model Accuracy
AI Model
SIM Engine
BOS
SF
BOS
SF
ML
50%
80-80
49%
79-81
47%
76-87
53%
85-75
ATS
58%
93-67
62%
100-60
48%
79-84
52%
83-77
TTL
46%
72-83-5
55%
82-68-10
47%
74-83-6
46%
68-81-11