KC vs NYM prediction for July 9, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects NYM 3.4 - KC 3.5. KC is favored with a 50.0% win probability. The run line is -1.5 and the total is 9.0. Model projects 6.8 total runs.
NYM
3.4
Projected Score
VS
O/U 9.0
KC
3.5
Projected Score
Win Probability
NYMKC
-1.5
Run Line (NYM)
9.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 46.3% (2,789 games)
Projected Runs Range 10th – 90th percentile
KC
245
NYM
135
Projected
NYM 3.4 — KC 3.5
Actual
NYM 7 — KC 3
Starting Pitcher Matchup
Michael Wacha R
KC
FF27%93 mph18% whiff
CH23%81 mph28% whiff
FC16%89 mph12% whiff
Sean Manaea L
NYM
FF35%90 mph17% whiff
ST32%75 mph28% whiff
SI20%90 mph7% whiff
Weather Impact
Citi Field
81°F9 mph wind
HR: 1.056 Total: 1.030
thin air
Bullpen Comparison
KC
4.34ERA
5.00FIP
8.61K/9
4.51BB/9
1.45WHIP
NYM
3.44ERA
3.69FIP
9.32K/9
3.58BB/9
1.21WHIP
Betting Edges
TOTAL OVER 9.0
-36.7% EV
-120
RUN_LINE AWAY +1.5
-33.0% EV
-185
TOTAL UNDER 9.0
+29.5% EV
-102
F5 UNDER 5.5
+20.7% EV
-132
F5_ML HOME
-15.5% EV
-139
RUN_LINE HOME -1.5
-13.9% EV
+152
First 5 Innings & NRFI
KC F5
1.9 runs
43.3% win
NYM F5
1.7 runs
38.6% win
F5 Total
3.6
NRFI
60.4%
YRFI
39.6%
Avg 1st Inn Runs
0.77
HR Spotlight
Avg HRs
2.2
Over 0.5 HR
88%
Over 1.5 HR
64%
No HR
12%
Juan Soto NYM30.0%
ISO: 0.287 | Barrel: 18.1% | vs Michael Wacha | Park: 0.96x Platoon: 1.12x
Bobby Witt Jr. KC28.9%
ISO: 0.203 | Barrel: 12.5% | vs Sean Manaea | Park: 0.96x Platoon: 1.12x
Jared Young NYM28.1%
ISO: 0.225 | Barrel: 14.3% | vs Michael Wacha | Park: 0.96x Platoon: 1.12x
Pitcher Strikeout Projections
Michael Wacha
0.0 K projected
KC | K/9: 0.0
Sean Manaea
0.0 K projected
NYM | K/9: 0.0
Injury Report
KC8 injured
Vinnie Pasquantino 1B10-DAY-IL
Kyle Isbel CF10-DAY-IL
Maikel Garcia 3B10-DAY-IL
Stephen Kolek SPBEREAVEMENT
Kris Bubic SP60-DAY-IL
Cole Ragans SP60-DAY-IL
+2 more
NYM8 injured
Austin Warren RP15-DAY-IL
Marcus Semien 2B10-DAY-IL
Clay Holmes SP60-DAY-IL
Luis Robert Jr. CF60-DAY-IL
Dedniel Nunez RP60-DAY-IL
Reed Garrett RP60-DAY-IL
+2 more
AI Intelligence Analysis
NEUTRAL -1YELLOW ZONE50.1% WR (n=318)
Model correctly identifies Wacha (3.73 ERA, B-) pitcher advantage over Manaea (5.14 ERA, B-) by 1.41 runs, but calls game 50/50 despite market pricing NYM -135 (57.5%). AWAY ML edge only 3.2% with poor historical zone WR (34.7%, n=7). UNDER edge 29.5% is massive and triggers overconfidence warning per First Principles #2; pattern across slate (5 games with 23%+ under edges) suggests systematic model inflation.
Key Factors
- Wacha (KC away) has 1.41 ERA advantage (3.73 vs Manaea 5.14)—clear pitcher edge but insufficient to overcome home field + NYM bullpen (3.44 ERA, 1.308 quality vs KC 4.34 ERA)
- NYM closer has elite 0.74 ERA—can lock down late innings even with weak starting performance from Manaea
- Model projects 6.82 total runs vs market 9.0 (2.18 run gap, 29.5% edge)—consistent with pattern of 5 games today all showing 23%+ under edges
- AWAY ML zone history: 34.7% WR on 7 samples—extremely weak; away underdogs at small edge historically lose
- Injuries: KC has multiple position players on 10-day (Pasquantino, Isbel, Garcia)—lineup compromised; NYM missing Vientos + Semien but less impactful
Risk Factors
- UNDER edge 29.5% + YELLOW zone 50.1% WR = red flag for model overconfidence on totals; recent history shows 0% WR on high-edge picks
- AWAY ML edge only 3.2% with 34.7% zone WR (n=7)—historically worst-performing combination; avoid
- Pattern alert: 5 games today with 23%+ under edges (ATL/PIT 30%, KC/NYM 29%, CHC/BAL 36%, OAK/DET 32%, MIL/STL 28%) suggests either market repricing or model systematic bias
HIGH EDGE WARNINGYELLOW ZONEMODEL MARKET CONFLICTPATTERN ALERT
Edge Analysis
Moneyline
KC 50.0%
-13.9 pts
Run Line
-1.5
-13.9 pts
Total
9.0
+29.5 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 →