MLB Baseball

NYM vs CIN Prediction

June 16, 2026

10,000 Monte Carlo simulations

NYM vs CIN prediction for June 16, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects CIN 5.8 - NYM 5.6. CIN is favored with a 52.9% win probability. The run line is 1.5 and the total is 9.5. Model projects 11.3 total runs.

CIN
5.8
Projected Score
VS O/U 9.5
NYM
5.6
Projected Score
Win Probability
52.9%
47.1%
CINNYM
+1.5
Run Line (CIN)
9.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 57.2% (2,386 games)

Projected Runs Range 10th – 90th percentile

NYM
468
CIN
468
FINALCIN 5 — NYM 3
Projected
CIN 5.8 — NYM 5.6
Actual
CIN 5 — NYM 3

Starting Pitcher Matchup

Kodai Senga R
NYM
FF38%96 mph19% whiff
FO23%83 mph38% whiff
FC22%90 mph29% whiff
Brady Singer R
CIN
SI47%91 mph10% whiff
SL33%82 mph29% whiff
ST10%81 mph37% whiff

Weather Impact

Great American Ball Park
79°F12 mph wind
HR: 0.976 Total: 0.983
thin air, 12mph in

Bullpen Comparison

NYM
3.44ERA
3.69FIP
9.32K/9
3.58BB/9
1.21WHIP
CIN
4.59ERA
5.23FIP
8.86K/9
5.87BB/9
1.53WHIP

Betting Edges

RUN_LINE HOME +1.5
-26.1% EV
-156
F5_ML AWAY
-18.1% EV
-118
TOTAL UNDER 9.5
-18.0% EV
-104
F5 OVER 5.5
+16.1% EV
-106
RUN_LINE AWAY -1.5
-16.0% EV
+130
ML AWAY
-12.6% EV
-123

First 5 Innings & NRFI

NYM F5
3.0 runs
37.6% win
CIN F5
3.8 runs
52.3% win
F5 Total
6.8
NRFI
44.3%
YRFI
55.7%
Avg 1st Inn Runs
1.41

HR Spotlight

Avg HRs
3.3
Over 0.5 HR
96%
Over 1.5 HR
83%
No HR
4%
Juan Soto NYM30.0%
ISO: 0.287 | Barrel: 15.2% | vs Brady Singer | Park: 1.08x Platoon: 1.12x
Jared Young NYM30.0%
ISO: 0.225 | Barrel: 11.7% | vs Brady Singer | Park: 1.08x Platoon: 1.12x
JJ Bleday CIN30.0%
ISO: 0.350 | Barrel: 18.0% | vs Kodai Senga | Park: 1.08x Platoon: 1.12x

Pitcher Strikeout Projections

Kodai Senga
0.0 K projected
NYM | K/9: 0.0
Brady Singer
0.0 K projected
CIN | K/9: 0.0

Injury Report

NYM8 injured
Francisco Lindor SS10-DAY-IL
Ryan Lambert RPDAY-TO-DAY
Ronny Mauricio SS10-DAY-IL
Jorge Polanco 1B60-DAY-IL
Christian Scott SP15-DAY-IL
Mike Baumann RPDAY-TO-DAY
+2 more
CIN8 injured
Elly De La Cruz SS10-DAY-IL
Pierce Johnson RP15-DAY-IL
Emilio Pagan RP15-DAY-IL
Hunter Greene SP60-DAY-IL
Graham Ashcraft RP60-DAY-IL
Ke'Bryan Hayes 3B10-DAY-IL
+2 more

AI Intelligence Analysis

LEANYELLOW ZONE50.1% WR (n=198)
OVER 9.5 has +7.6% edge (58.2% model vs 50.6% market) driven by high-scoring projection (11.32 total runs). Brady Singer (6.06 ERA, C+ grade) is a liability; Kodai Senga (9.72 ERA, well-below replacement) is a disaster. Both pitchers are weak, suggesting run-heavy game. F5 edge +16.1% (59.9% prob on F5 OVER 5.5) is a strong early-inning indicator.

Key Factors

  • Pitcher quality disasters: Singer 6.06 ERA (0.389 overall, 0.23 stuff) and Senga 9.72 ERA — both well below league average. Singer's command (0.584) is his only strength
  • F5 advantage huge: +16.1% edge on F5 OVER 5.5 (59.9% prob) — early-inning runaway likely. NYM lineup likely to attack Singer early
  • Park factor 1.08 (+8% runs) — Great American is slightly hitter-friendly. CIN has home advantage
  • Wind blowing in (12.4 mph, -11.9 tail) reduces expected runs by ~0.5-1.0 from baseline — weather is SUPPRESSIVE vs model expectations
  • Juan Soto in NYM lineup (30% HR prob per sim) is dangerous asset, even against mediocre pitching

Risk Factors

  • YELLOW zone totals: 50.1% WR, n=198 — no edge. High-edge games (>10%) in totals are historically unprofitable (empirically shown)
  • Both pitchers are SO BAD that regression to league mean is possible — replacement-level arms sometimes get lucky
  • Elly De La Cruz (CIN SS) on rehab assignment (hamstring) — starting this weekend per ESPN, not available today. CIN lineup slightly weakened
Sharp MoneyWith ModelTotal likely opened lower (9.0), now 9.5 — suggests sharp money pushing OVER. Market recognizing both pitchers are bad but possibly still underestimating run potential.
PITCHER MISMATCHTOTALS VALUEPARK FACTORWEATHER IMPACTHIGH EDGE WARNING

Edge Analysis

Moneyline
CIN 52.9%
-26.1 pts
Run Line
+1.5
-26.1 pts
Total
9.5
+7.6 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 →

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