PIT vs PHI prediction for July 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects PHI 6.5 - PIT 8.0. PIT is favored with a 58.5% win probability. The run line is -1.5 and the total is 8.0. Model projects 14.5 total runs.
PHI
6.5
Projected Score
VS
O/U 8.0
PIT
8.0
Projected Score
Win Probability
PHIPIT
-1.5
Run Line (PHI)
8.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 58.0% (2,559 games)
Projected Runs Range 10th – 90th percentile
PIT
6810
PHI
568
Starting Pitcher Matchup
Paul Skenes R
PIT
FF38%97 mph26% whiff
CH16%89 mph36% whiff
ST16%84 mph28% whiff
Zack Wheeler R
PHI
FF37%95 mph23% whiff
SI16%95 mph5% whiff
ST14%81 mph34% whiff
Weather Impact
Citizens Bank Park
98°F11 mph wind
HR: 1.006 Total: 1.000
thin air, 8mph in
Bullpen Comparison
PIT
4.50ERA
4.23FIP
9.39K/9
4.70BB/9
1.41WHIP
PHI
4.19ERA
3.22FIP
10.30K/9
3.17BB/9
1.34WHIP
Betting Edges
TOTAL UNDER 8.0
-59.2% EV
-105
TOTAL OVER 8.0
+42.1% EV
-115
F5 OVER 3.5
+26.7% EV
-152
F5_ML HOME
-21.2% EV
-130
RUN_LINE AWAY +1.5
-20.9% EV
-192
RUN_LINE HOME -1.5
-18.7% EV
+158
First 5 Innings & NRFI
PIT F5
4.3 runs
52.4% win
PHI F5
3.4 runs
37.1% win
F5 Total
7.7
NRFI
41.4%
YRFI
58.6%
Avg 1st Inn Runs
1.48
HR Spotlight
Avg HRs
4.1
Over 0.5 HR
98%
Over 1.5 HR
90%
No HR
2%
Pitcher Strikeout Projections
Paul Skenes
0.0 K projected
PIT | K/9: 0.0
Zack Wheeler
0.0 K projected
PHI | K/9: 0.0
Injury Report
PIT8 injured
Jared Jones SPDAY-TO-DAY
Spencer Horwitz 1B10-DAY-IL
Oneil Cruz CF10-DAY-IL
Wilber Dotel RP15-DAY-IL
Anthony Solometo SPDAY-TO-DAY
Mitch Jebb LFDAY-TO-DAY
+2 more
PHI8 injured
Brad Keller RP15-DAY-IL
Johan Rojas CF60-DAY-IL
Adolis Garcia RF60-DAY-IL
Liover Peguero SSDAY-TO-DAY
Andrew Walling RPDAY-TO-DAY
Carson DeMartini SSDAY-TO-DAY
+2 more
AI Intelligence Analysis
Edge Analysis
Moneyline
PIT 58.5%
-18.7 pts
Run Line
-1.5
-18.7 pts
Total
8.0
+42.1 pts
More Projections Today
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 →