PHI vs NYM prediction for June 26, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects NYM 5.2 - PHI 5.3. NYM is favored with a 51.4% win probability. The run line is 1.5 and the total is 8.0. Model projects 10.5 total runs.
NYM
5.2
Projected Score
VS
O/U 8.0
PHI
5.3
Projected Score
Win Probability
NYMPHI
+1.5
Run Line (NYM)
8.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 54.0% (2,443 games)
Projected Runs Range 10th – 90th percentile
PHI
357
NYM
357
Starting Pitcher Matchup
Zack Wheeler R
PHI
FF37%95 mph23% whiff
SI16%95 mph4% whiff
ST14%81 mph33% whiff
R TBD
NYM
Weather Impact
Citi Field
79°F10 mph wind
HR: 1.074 Total: 1.041
9mph out
Bullpen Comparison
PHI
4.19ERA
3.22FIP
10.30K/9
3.17BB/9
1.34WHIP
NYM
3.44ERA
3.69FIP
9.32K/9
3.58BB/9
1.21WHIP
Betting Edges
TOTAL UNDER 8.0
-32.8% EV
-110
RUN_LINE HOME +1.5
-28.2% EV
-137
RUN_LINE AWAY -1.5
-18.5% EV
+114
ML AWAY
-16.2% EV
-152
TOTAL OVER 8.0
+14.0% EV
-110
ML HOME
+12.9% EV
+128
First 5 Innings & NRFI
PHI F5
2.9 runs
43.8% win
NYM F5
2.9 runs
42.7% win
F5 Total
5.8
NRFI
48.0%
YRFI
52.0%
Avg 1st Inn Runs
1.16
HR Spotlight
Avg HRs
2.9
Over 0.5 HR
94%
Over 1.5 HR
76%
No HR
6%
Pitcher Strikeout Projections
Zack Wheeler
0.0 K projected
PHI | K/9: 0.0
0.0 K projected
NYM | K/9: 0.0
Injury Report
PHI8 injured
Johan Rojas CF60-DAY-IL
Adolis Garcia RF60-DAY-IL
Liover Peguero SSDAY-TO-DAY
Andrew Bechtold 3BDAY-TO-DAY
Brad Keller RP15-DAY-IL
Andrew Walling RPDAY-TO-DAY
+2 more
NYM8 injured
Dedniel Nunez RP60-DAY-IL
Marcus Semien 2B10-DAY-IL
Luis Robert Jr. CF60-DAY-IL
Christian Scott SP15-DAY-IL
Tyrone Taylor CF10-DAY-IL
Christian Arroyo 2BDAY-TO-DAY
+2 more
AI Intelligence Analysis
Edge Analysis
Moneyline
NYM 51.4%
-28.2 pts
Run Line
+1.5
-28.2 pts
Total
8.0
+14.0 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 →