MINNESOTA

TWINSMIN

74-84  |  Road

3
FINAL
Tue, Sep 22 • 9:45 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

65-93  |  Home

2
Probable Pitchers
Taj Bradley
STARTING PITCHER

Taj Bradley

#26 | Starting Pitcher
@
Blade Tidwell
STARTING PITCHER

Blade Tidwell

#46 | Relief Pitcher
Player W-L ERA WHIP IP K
Taj Bradley 11-6 3.81 1.23 172.1 199
Blade Tidwell 1-2 4.56 1.20 53.1 42
11-6 W-L 1-2
3.81 Ldr ERA 4.56
1.23 WHIP Ldr 1.20
172.1 Ldr IP (Innings Pitched) 53.1
199 Ldr K (Strikeouts) 42
AI Model Win Probability
TWINS
32%
📊
GIANTS
68%
▲ Edge: +21.50% (SF)
TWINS 59% Book Odds: -141
GIANTS 46% Book Odds: +117
Book Implied: 58.50% / 46.10%
AI Model Projected Total
AI Projection
9.0
Projected
Book Total
7.0
Over / Under Line
▲ Edge: +2.0 (Over)
Over 7.0 70%
Under 7.0 30%
AI Model Spread Expectation
AI Spread Proj
-1.4
SAN FRANCISCO
Book Spread
+1.5
Book Line
▲ Edge: +2.9 points (San Francisco)
TwinsMIN (-1.5) 0 GiantsSF (+1.5)
San Francisco Giants (+1.5) expected to cover
Spread Distribution
AI Model

Twins Cover

36.3%

Giants Cover

63.7%

+12+8+40-4-8-12
Distribution centered around SF -1.4 expected margin.
Margin of Victory (SF)

MIN By 1-2 runs

15.3%

MIN By 3-4 runs

9.5%

SF By 1-2 runs

19.7%

SF By 3-4 runs

17.2%

AI Model Projected Score
3.8
MINNESOTA
Book Implied: 4.20
5.2
SAN FRANCISCO
Book Implied: 2.80
Simulated Score
4
MINNESOTA
Book Implied: 4.20
6
SAN FRANCISCO
Book Implied: 2.80
Projections Grades
Moneyline (ML)
Agreement 👑 Top Selection
AI Giants Loss
68% Win Prob
B
Sim Giants Loss
69% Win Prob
A
Run Line (ATS)
Agreement 👑 Top Selection
AI Giants (+1.5) Win
Proj Runs: -1.4
A
Sim Giants (+1.5) Win
Proj Runs: -2.0
A
Over/Under (Total)
Agreement 👑 Top Selection
AI o7.0 Loss
Proj Total: 9.0
A
Sim o7.0 Loss
Proj Total: 10.0
A
Head-to-Head History
Date Game Score
Sep 23, 2026 MIN @ SF 4 - 2
Sep 22, 2026 MIN @ SF 3 - 2
Sep 21, 2026 MIN @ SF 2 - 5
May 11, 2025 SF @ MIN 6 - 7
May 10, 2025 SF @ MIN 1 - 2
Season Statistics Comparison
Minnesota MIN
vs
San Francisco SF
162
Games Played
162
4.56 ▲
Runs / Game
4.13
.245
Avg (AVG)
.245
.317 ▲
On-Base (OBP)
.306
.403 ▲
Slugging (SLG)
.400
.720 ▲
OPS
.706
187 ▲
Home Runs
178
Key Model Drivers
Strikeouts (L5) +30.5% more
San Francisco: 11.9 vs Minnesota: 9.1
Errors (L5) +27.0% more
San Francisco: 0.5 vs Minnesota: 0.2
Walks (L5) +24.3% more
San Francisco: 2.2 vs Minnesota: 1.7
Home Runs (L5) +36.2% more
Minnesota: 1.3 vs San Francisco: 0.8
Post-Mortem Analysis
Metric Projected Actual
Score Game
MIN Score 3.8 3
SF Score 5.2 2
Team Stats Splits (Home / Away)
Errors 0.5 / 0.2 1.0 / 1.0
Hits 7.5 / 8.4 6.0 / 6.0
Home Runs 0.8 / 1.3 0.0 / 1.0
Strikeouts 11.9 / 9.1 10.0 / 7.0
Total Bases 11.4 / 13.3 6.0 / 11.0
Walks 2.2 / 1.7 6.0 / 1.0
Public Market Splits
Moneyline
Open: -117 / -103 → -141 / +117 ↓
60%TICKETS40%
96%MONEY4%
Spread (ATS)
Open: -1.5 / +1.5 → -1.5 / +1.5
60%TICKETS40%
85%MONEY15%
Total (O/U)
Open: 8 → 7 ↓
93%TICKETS7%
95%MONEY5%
Situational Trends
📊 Win-Loss
MIN Advantage
77-85-0 (47.5%)
Margin: -0.4 ATS +/-:
SF
65-97-0 (40.1%)
Margin: -0.6 ATS +/-:
🎯 ATS (Spread)
MIN Advantage
(51.8%)
Margin: -0.4 ATS +/-:
SF
(51.2%)
Margin: -0.6 ATS +/-:
⚖️ Over/Under
MIN
88-64-10
O: 57.9% / U: 42.1% Total +/-: +1.0
SF
76-73-13
O: 51.0% / U: 49.0% Total +/-: +0.6