MLB Baseball

SD vs PHI Prediction

June 4, 2026

10,000 Monte Carlo simulations

SD vs PHI prediction for June 4, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects PHI 4.7 - SD 4.0. PHI is favored with a 57.7% win probability. The run line is -1.5 and the total is 8.5. Model projects 8.7 total runs.

PHI
4.7
Projected Score
VS O/U 8.5
SD
4.0
Projected Score
Win Probability
57.7%
42.3%
PHISD
-1.5
Run Line (PHI)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 60.5% (1,970 games)

Projected Runs Range 10th – 90th percentile

SD
246
PHI
357
FINALPHI 6 — SD 4
Projected
PHI 4.7 — SD 4.0
Actual
PHI 6 — SD 4

Starting Pitcher Matchup

Lucas Giolito R
SD
FF40%90 mph19% whiff
CH40%79 mph24% whiff
SL16%83 mph25% whiff
Zack Wheeler R
PHI
FF37%95 mph22% whiff
SI17%94 mph2% whiff
FS14%87 mph41% whiff

Weather Impact

Citizens Bank Park
89°F4 mph wind
HR: 1.022 Total: 1.010
thin air

Bullpen Comparison

SD
3.22ERA
3.61FIP
8.16K/9
3.48BB/9
1.23WHIP
PHI
4.30ERA
3.32FIP
10.16K/9
3.19BB/9
1.33WHIP

Betting Edges

RUN_LINE AWAY +1.5
-33.9% EV
-110
F5_ML AWAY
+23.4% EV
+210
F5_ML HOME
-18.1% EV
-278
RUN_LINE HOME -1.5
-17.6% EV
-110
ML AWAY
+13.2% EV
+180
ML HOME
-12.4% EV
-213

First 5 Innings & NRFI

SD F5
2.1 runs
36.3% win
PHI F5
2.7 runs
47.5% win
F5 Total
4.8
NRFI
53.1%
YRFI
46.9%
Avg 1st Inn Runs
1.01

HR Spotlight

Avg HRs
1.9
Over 0.5 HR
84%
Over 1.5 HR
56%
No HR
16%
Ty France SD30.0%
ISO: 0.278 | Barrel: 14.1% | vs Zack Wheeler | Park: 1.02x
Gavin Sheets SD30.0%
ISO: 0.284 | Barrel: 13.5% | vs Zack Wheeler | Park: 1.02x Platoon: 1.12x
Kyle Schwarber PHI30.0%
ISO: 0.372 | Barrel: 20.0% | vs Lucas Giolito | Park: 1.02x Platoon: 1.12x

Pitcher Strikeout Projections

Lucas Giolito
0.0 K projected
SD | K/9: 0.0
Zack Wheeler
0.0 K projected
PHI | K/9: 0.0

Injury Report

SD8 injured
Nick Pivetta SP60-DAY-IL
Ramon Laureano LF10-DAY-IL
German Marquez SP15-DAY-IL
Jhony Brito RP60-DAY-IL
Jake Cronenworth 2B7-DAY IL
Joe Musgrove SP60-DAY-IL
+2 more
PHI7 injured
Carson DeMartini SSDAY-TO-DAY
Bryan Rincon SSDAY-TO-DAY
Kyle Backhus RP15-DAY-IL
Johan Rojas CFSUSPENSION
Rene Pinto CDAY-TO-DAY
Daniel Robert RPDAY-TO-DAY
+1 more

AI Intelligence Analysis

NEUTRALYELLOW ZONE37.6% WR (n=5)
Market is correctly pricing PHI's elite pitcher advantage (Wheeler 2.45 ERA vs Giolito 5.37 ERA) — no informational edge exists for either side; away value at 13.2% edge conflicts with red zone away ML historical performance.

Key Factors

  • Pitcher mismatch: Wheeler (2.45 ERA, B- grade, 24.4% K, 5.5% BB) vs Giolito (5.37 ERA, C- grade, 10.5% K, 21% BB) — 2.92 ERA gap favors home
  • Market pricing: PHI -212 implies 67.9% win probability, higher than model's 59.6% — market respecting the ace
  • Zone weakness: Away ML at 40.4% prob in RED combo zone (41.6% WR, n=89) — historically loses money
  • Weather neutral: 89.2F, minimal wind, thin air boost (+1%) slightly favors runs but pitcher quality dominates
  • No injury impact: Both lineups available, no material changes

Risk Factors

  • Red zone conflict: Model shows +13.2% away edge but away ML is red zone (45.5% WR) — model-market disagreement suggests market is correct
  • Giolito's BB rate (21%) creates volatility; if he walks into trouble, game gets out of hand quickly
  • Thin air effect (1844 ft density altitude) could inflate home runs; park factor 1.02 suggests slight over lean
MODEL MARKET CONFLICTRED ZONEPITCHER MISMATCH

Edge Analysis

Moneyline
PHI 57.7%
-17.6 pts
Run Line
-1.5
-17.6 pts
Total
8.5
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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 →

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