MLB Baseball

SD vs CIN Prediction

September 2, 2026

10,000 Monte Carlo simulations

SD vs CIN prediction for September 2, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects CIN 4.6 - SD 5.3. SD is favored with a 51.0% win probability. The run line is 1.5 and the total is 9.5. Model projects 9.9 total runs.

CIN
4.6
Projected Score
VS O/U 9.5
SD
5.3
Projected Score
Win Probability
49.0%
51.0%
CINSD
+1.5
Run Line (CIN)
9.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 52.2% (3,529 games)

Projected Runs Range 10th – 90th percentile

SD
357
CIN
357

Starting Pitcher Matchup

Michael King R
SD
SI28% · 93
CH27% · 86
ST20% · 82
usagewhiffbar labels show usage · mph
SI28%93 mph14% whiff
CH27%86 mph26% whiff
ST20%82 mph25% whiff
Brady Singer R
CIN
SI50% · 91
SL26% · 83
ST15% · 82
usagewhiffbar labels show usage · mph
SI50%91 mph15% whiff
SL26%83 mph29% whiff
ST15%82 mph38% whiff

Weather Impact

Great American Ball Park
98°F8 mph wind
HR: 1.089 Total: 1.047
thin air, 7mph out

Bullpen Comparison

SD
3.07ERA
3.61FIP
9.79K/9
3.83BB/9
1.22WHIP
CIN
4.34ERA
4.77FIP
8.95K/9
4.88BB/9
1.40WHIP

Betting Edges

🔒
Edge Analysis
Available to premium members
Unlock

First 5 Innings & NRFI

SD F5
2.7 runs
42.0% win
CIN F5
2.8 runs
43.6% win
F5 Total
5.5
NRFI
51.5%
YRFI
48.4%
Avg 1st Inn Runs
1.09

HR Spotlight

🔒
Home Run Analysis
Available to premium members
Unlock

Injury Report

SD8 injured
Luis Rengifo LF10-DAY-IL
Joe Musgrove SP60-DAY-IL
Nick Pivetta SP60-DAY-IL
Gavin Sheets 1B10-DAY-IL
Jeremiah Estrada RP15-DAY-IL
Lucas Giolito SP60-DAY-IL
+2 more
CIN7 injured
Brandon Williamson SP60-DAY-IL
Ke'Bryan Hayes 3B10-DAY-IL
Graham Ashcraft RP60-DAY-IL
Michael Toglia 1B10-DAY-IL
Spencer Steer 1B10-DAY-IL
Hunter Greene SP60-DAY-IL
+1 more

Model Edge & Sizing

🔒The model's edge against the market, and the stake it sizes for this matchup, are premium.Unlock

Edge Analysis

🔒
Edge Analysis
Available to premium members
Unlock
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 →
Permanent record: this game page is retired 90 days after the event. The full graded MLB 2026 record — every pick, win rate, units and ROI — lives on the MLB 2026 season report card.

Want Premium Predictions?

Get full access to all picks, detailed game-by-game analysis, and Kelly-optimized unit sizing across 9 leagues.

Go Premium Free Picks

Free picks in your inbox every morning

The same free projections published here — Monte Carlo simulated, Kelly sized, delivered daily. Free forever. Unsubscribe anytime.