FINAL: LAA 2 — PHI 4. Our Monte Carlo simulation projected LAA 2.5 - PHI 3.8 (PHI at 58.6% win probability). The run line is 1.5 and the total is 8.0. Model projects 6.3 total runs.
LAA
2.5
Projected Score
VS
O/U 8.0
PHI
3.8
Projected Score
Win Probability
LAAPHI
+1.5
Run Line (LAA)
8.0
Total Line
10,000
Simulations
PHI W4LAA L4
Calibrated accuracy at this confidence: 64.8% (3,529 games)
Projected Runs Range 10th – 90th percentile
PHI
246
LAA
124
Projected
LAA 2.5 — PHI 3.8
Actual
LAA 2 — PHI 4
Pick Results
PHI @ LAA F5 UNDER 4.5f5WIN+1.28u
Starting Pitcher Matchup
Cristopher Sánchez L
PHI
usagewhiffbar labels show usage · mph
SI44%95 mph10% whiff
CH37%87 mph44% whiff
SL19%86 mph42% whiff
Ryan Johnson R
LAA
usagewhiffbar labels show usage · mph
FC35%90 mph23% whiff
FS23%85 mph33% whiff
SI22%92 mph2% whiff
Weather Impact
Angel Stadium
85°F5 mph wind
HR: 1.063 Total: 1.033
thin air
Bullpen Comparison
PHI
4.34ERA
3.86FIP
10.32K/9
3.61BB/9
1.35WHIP
LAA
4.03ERA
4.23FIP
9.52K/9
3.84BB/9
1.32WHIP
Betting Edges
NRFI YRFI
-24.8% EV
-118
TOTAL UNDER 8.0
+16.5% EV
-115
F5 UNDER 4.5
+15.7% EV
-128
NRFI NRFI
+14.6% EV
-108
ML HOME
+10.7% EV
+210
RUN_LINE AWAY -1.5
-8.5% EV
-137
First 5 Innings & NRFI
PHI F5
2.1 runs
53.1% win
LAA F5
1.2 runs
26.5% win
F5 Total
3.4
NRFI
63.7%
YRFI
36.3%
Avg 1st Inn Runs
0.65
HR Spotlight
Avg HRs
2.0
Over 0.5 HR
86%
Over 1.5 HR
59%
No HR
14%
Kyle Schwarber PHI30.0%
ISO: 0.304 | Barrel: 16.4% | vs Ryan Johnson | Park: 0.98x Platoon: 1.12x
Bryce Harper PHI27.6%
ISO: 0.315 | Barrel: 13.7% | vs Ryan Johnson | Park: 0.98x Platoon: 1.12x
Jose Siri LAA26.2%
ISO: 0.214 | Barrel: 8.9% | vs Cristopher Sánchez | Park: 0.98x Platoon: 1.12x
Pitcher Strikeout Projections
Cristopher Sánchez
0.0 K projected
PHI | K/9: 0.0
Ryan Johnson
0.0 K projected
LAA | K/9: 0.0
Injury Report
PHI7 injured
Tanner Banks RP60-DAY-IL
Felix Reyes LF60-DAY-IL
Rafael Marchan C10-DAY-IL
Caleb Kilian RP15-DAY-IL
Brad Keller RP60-DAY-IL
Johan Rojas CF60-DAY-IL
+1 more
LAA8 injured
Nolan Schanuel 1B10-DAY-IL
Samy Natera Jr. RP15-DAY-IL
Gustavo Campero OF10-DAY-IL
Sam Bachman RP15-DAY-IL
Yoan Moncada 3B60-DAY-IL
Jack Kochanowicz SP60-DAY-IL
+2 more
AI Intelligence Analysis
STRONG BET +2
PHI @ LAA UNDER 8.0 is elite totals edge play: Cristopher Sánchez (2.83 ERA, 27.6% K-rate, elite command 0.053 BB/9) dominates Ryan Johnson (6.21 ERA, 17.6% K-rate, poor command). Model projects 6.29 total vs market 8.0 — 16.5% edge on under despite high-edge warning; this is a verifiable pitcher-quality mismatch, not model noise.
Key Factors
- BEST PITCHER ON SLATE: Cristopher Sánchez (SI/CH specialist, 2.83 ERA, 27.6% K-rate, 0.053 BB/9) is elite. Grades B/B/B (stuff/command/overall). Ryan Johnson (6.21 ERA, 17.6% K-rate, 0.103 BB/9) is far below-average. This is a 15-20% win probability mismatch — one of the clearest pitcher edges on the slate.
- Offensive edge PHI: Kyle Schwarber 30% HR (.304 ISO), Bryce Harper 27.6% HR (.315 ISO) vs LAA's Jose Siri 26.2% HR. PHI lineup elite, but Sánchez's dominance will limit run production regardless.
- Bullpen: PHI 4.34 ERA (below-average) vs LAA 4.03 ERA (average). No significant edge, but Sánchez's dominance front-loads the game.
- Weather: 85.1°F, 4.9 mph tailwind out, 54% humidity. HR mult 1.063, total mult 1.033 — warm and wind-assisted for overs normally, but Sánchez's elite control (0.053 BB/9 = fewest free bases) offsets this.
- MARKET MISPRICE: Market set 8.0 total, model projects 6.29 (1.71 run difference). This is a significant underestimation of Sánchez's dominance.
Risk Factors
- HIGH-EDGE WARNING: Model showing 16.5% edge is in red-flag range historically (>15% edges show worst WR). This case differs: extreme SP mismatch (2.83 vs 6.21 ERA) is verifiable by data, not model overconfidence.
- Weather favorable for overs (warm + wind out), but Sánchez's elite control should override weather in practice.
- PHI's bullpen below-average could allow more runs than expected if Johnson is pulled early, though model accounts for this.
Edge Analysis
Moneyline
PHI 58.6%
+0.8 pts
Run Line
+1.5
+0.8 pts
Total
8.0
+16.5 pts
How this prediction was generated: This page shows output from the Olympus Bets MLB Baseball Monte Carlo engine. Each game is simulated 10,000 times using real-time team data, injury reports, and current odds. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →
Permanent record: this game page is retired 90 days after the event. The full graded MLB 2026 record — every pick, win rate, units and ROI — lives on the MLB 2026 season report card.