LOS ANGELES

ANGELSLAA

54-88  |  Road

6
FINAL
Sat, Sep 5 • 6:40 PM ET
PNC Park
View Odds Details →

PITTSBURGH

PIRATESPIT

70-73  |  Home

1
Probable Pitchers
Yusei Kikuchi
STARTING PITCHER

Yusei Kikuchi

#16 | Starting Pitcher
@
Braxton Ashcraft
STARTING PITCHER

Braxton Ashcraft

#35 | Starting Pitcher
Player W-L ERA WHIP IP K
Yusei Kikuchi 0-5 5.65 1.49 43.0 43
Braxton Ashcraft 14-5 3.59 1.08 160.1 164
0-5 W-L 14-5
5.65 ERA Ldr 3.59
1.49 WHIP Ldr 1.08
43.0 IP (Innings Pitched) Ldr 160.1
43 K (Strikeouts) Ldr 164
AI Model Win Probability
ANGELS
41%
📊
PIRATES
59%
▲ Edge: +2.60% (LAA)
ANGELS 39% Book Odds: +158
PIRATES 66% Book Odds: -193
Book Implied: 38.80% / 65.90%
AI Model Projected Total
AI Projection
9.0
Projected
Book Total
7.5
Over / Under Line
▲ Edge: +1.5 (Over)
Over 7.5 65%
Under 7.5 35%
AI Model Spread Expectation
AI Spread Proj
+1.4
LOS ANGELES
Book Spread
+1.5
Book Line
▲ Edge: +0.1 points (Los Angeles)
AngelsLAA (+1.5) 0 PiratesPIT (-1.5)
Los Angeles Angels (+1.5) expected to cover
Spread Distribution
AI Model

Angels Cover

63.7%

Pirates Cover

36.3%

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

LAA By 1-2 runs

15.3%

LAA By 3-4 runs

9.5%

PIT By 1-2 runs

19.7%

PIT By 3-4 runs

17.2%

AI Model Projected Score
3.8
LOS ANGELES
Book Implied: 3
5.2
PITTSBURGH
Book Implied: 4.50
Simulated Score
3
LOS ANGELES
Book Implied: 3
4
PITTSBURGH
Book Implied: 4.50
Projections Grades
Moneyline (ML)
Agreement
AI Pirates Loss
59% Win Prob
B
Sim Pirates Loss
59% Win Prob
D
Run Line (ATS)
Agreement
AI Angels (+1.5) Win
Proj Runs: +1.4
D
Sim Angels (+1.5) Win
Proj Runs: +1.0
C
Over/Under (Total)
Divergence
AI o7.5 Loss
Proj Total: 9.0
B
Sim u7.5 Win
Proj Total: 7.0
C
Head-to-Head History
Date Game Score
Sep 6, 2026 LAA @ PIT 0 - 1
Sep 5, 2026 LAA @ PIT 6 - 1
Sep 4, 2026 LAA @ PIT 0 - 1
Apr 24, 2025 PIT @ LAA 3 - 4
Apr 23, 2025 PIT @ LAA 3 - 0
Season Statistics Comparison
Los Angeles LAA
vs
Pittsburgh PIT
162
Games Played
162
4.04
Runs / Game
▲ 4.73
.234
Avg (AVG)
▲ .253
.310
On-Base (OBP)
▲ .330
.369
Slugging (SLG)
▲ .404
.679
OPS
▲ .734
154
Home Runs
▲ 186
Key Model Drivers
Walks (L5) +46.8% more
Pittsburgh: 3.9 vs Los Angeles: 2.7
Hits (L5) +24.5% more
Pittsburgh: 7.4 vs Los Angeles: 5.9
Errors (L5) +21.0% more
Pittsburgh: 0.3 vs Los Angeles: 0.0
Home Runs (Season) +20.8% more
Pittsburgh: 186.0 vs Los Angeles: 154.0
Post-Mortem Analysis
Metric Projected Actual
Score Game
LAA Score 3.8 6
PIT Score 5.2 1
Team Stats Splits (Home / Away)
Errors 0.3 / 0.0 0.0 / 0.0
Hits 7.4 / 5.9 8.0 / 12.0
Home Runs 0.4 / 0.5 1.0 / 1.0
Strikeouts 9.1 / 11.2 9.0 / 13.0
Total Bases 9.9 / 8.6 13.0 / 18.0
Walks 3.9 / 2.7 4.0 / 0.0
Public Market Splits
Moneyline
Open: -102 / -118 → +158 / -193 ↑
9%TICKETS91%
7%MONEY93%
Spread (ATS)
Open: -1.5 / +1.5 → +1.5 / -1.5 ↑
17%TICKETS83%
3%MONEY97%
Total (O/U)
Open: 6.5 → 7.5 ↑
75%TICKETS25%
75%MONEY25%
Situational Trends
📊 Win-Loss
LAA
62-100-0 (38.3%)
Margin: -0.6 ATS +/-:
PIT Advantage
82-80-0 (50.6%)
Margin: 0.2 ATS +/-:
🎯 ATS (Spread)
LAA Advantage
(50.6%)
Margin: -0.6 ATS +/-:
PIT
(49.4%)
Margin: 0.2 ATS +/-:
⚖️ Over/Under
LAA
71-88-3
O: 44.7% / U: 55.4% Total +/-: +0.3
PIT
81-74-7
O: 52.3% / U: 47.7% Total +/-: +1.0