MLB Baseball

MIL vs CIN Prediction

June 23, 2026

10,000 Monte Carlo simulations

MIL vs CIN prediction for June 23, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects CIN 5.5 - MIL 7.4. MIL is favored with a 57.0% win probability. The run line is 1.5 and the total is 9.5. Model projects 12.9 total runs.

CIN
5.5
Projected Score
VS O/U 9.5
MIL
7.4
Projected Score
Win Probability
43.0%
57.0%
CINMIL
+1.5
Run Line (CIN)
9.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 56.1% (2,543 games)

Projected Runs Range 10th – 90th percentile

MIL
579
CIN
467
FINALCIN 0 — MIL 2
Projected
CIN 5.5 — MIL 7.4
Actual
CIN 0 — MIL 2

Starting Pitcher Matchup

Brandon Sproat R
MIL
SI26%96 mph16% whiff
FC25%93 mph20% whiff
FF19%97 mph21% whiff
Nick Lodolo L
CIN
CU26%82 mph33% whiff
FF25%94 mph17% whiff
SI25%94 mph9% whiff

Weather Impact

Great American Ball Park
76°F10 mph wind
HR: 1.023 Total: 1.011
neutral

Bullpen Comparison

MIL
3.66ERA
3.52FIP
9.38K/9
3.94BB/9
1.32WHIP
CIN
4.59ERA
5.23FIP
8.86K/9
5.87BB/9
1.53WHIP

Betting Edges

RUN_LINE HOME +1.5
-44.4% EV
-169
TOTAL UNDER 9.5
-32.5% EV
-105
F5 OVER 5.5
+22.6% EV
+108
TOTAL OVER 9.5
+22.3% EV
-115
F5_ML HOME
-18.4% EV
-112
RUN_LINE AWAY -1.5
+14.6% EV
+140

First 5 Innings & NRFI

MIL F5
4.2 runs
53.0% win
CIN F5
3.3 runs
36.7% win
F5 Total
7.5
NRFI
40.4%
YRFI
59.6%
Avg 1st Inn Runs
1.52

HR Spotlight

Avg HRs
2.9
Over 0.5 HR
95%
Over 1.5 HR
78%
No HR
5%
Jackson Chourio MIL30.0%
ISO: 0.275 | Barrel: 14.4% | vs Nick Lodolo | Park: 1.08x Platoon: 1.12x
Andrew Vaughn MIL30.0%
ISO: 0.353 | Barrel: 8.8% | vs Nick Lodolo | Park: 1.08x Platoon: 1.12x
Gary Sánchez MIL30.0%
ISO: 0.141 | Barrel: 14.1% | vs Nick Lodolo | Park: 1.08x Platoon: 1.12x

Pitcher Strikeout Projections

Brandon Sproat
0.0 K projected
MIL | K/9: 0.0
Nick Lodolo
0.0 K projected
CIN | K/9: 0.0

Injury Report

MIL8 injured
DL Hall RP15-DAY-IL
Brandon Lockridge LF10-DAY-IL
Coleman Crow SP15-DAY-IL
Logan Henderson SP15-DAY-IL
Quinn Priester SP60-DAY-IL
Jared Koenig RP15-DAY-IL
+2 more
CIN7 injured
Emilio Pagan RP15-DAY-IL
Brandon Williamson SP60-DAY-IL
Hunter Greene SP60-DAY-IL
Ke'Bryan Hayes 3B10-DAY-IL
Graham Ashcraft RP60-DAY-IL
Connor Burns CDAY-TO-DAY
+1 more

AI Intelligence Analysis

STRONG BET +2YELLOW ZONE50.1% WR (n=228)
Model projects 22.3% OVER 9.5 edge (65.4% prob). Great American Park (Coors-lite, +1.08 park mult, 8% HR boost). Nick Lodolo (6.6 ERA, weak 0.338 overall, 6% K-rate, 0.205 stuff) vs Brandon Sproat (6.4 ERA, 0.462 overall, 8% K-rate). Both are mediocre starters but park elevation (+1.08 mult) and warm temp (76.3F) elevate run production. Model projects 12.91 total runs vs market 9.5. 22.3% edge on OVER is BET-worthy conviction despite broader totals market failure.

Key Factors

  • Great American Park park mult 1.08 = +8% run inflation vs league average
  • Lodolo (6.6 ERA, 0.338 overall, 0.205 stuff) is severe liability; Sproat (6.4 ERA, 8 K/9) matches weakness
  • Model total 12.91 vs market 9.5 = 3.41 run underedge; 65.4% OVER prob = 22.3% edge
  • Warm temp (76.3F) adds 0.5-1 run; wind neutral (-1.2 mph in) cancels out
  • F5 OVER 22.6% edge backs thesis; not just late-game scoring

Risk Factors

  • Totals market grade F — this is a category-wide failure, not game-specific insight; use caution
  • MIL bullpen (3.66 ERA, 1.23 quality) is elite — if Sproat struggles early, MIL could blow out CIN and suppress runs short-term
  • CIN just activated De La Cruz; if he hits, could elevate CIN scoring — could push total OVER on its own
PARK FACTORPITCHER MISMATCHWARM WEATHERHIGH EDGE WARNINGF5 OVER EDGE

Edge Analysis

Moneyline
MIL 57.0%
-44.4 pts
Run Line
+1.5
-44.4 pts
Total
9.5
+22.3 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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