SD vs CHC prediction for June 29, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects CHC 5.8 - SD 5.3. CHC is favored with a 56.0% win probability. The run line is -1.5 and the total is 11.5. Model projects 11.1 total runs.
CHC
5.8
Projected Score
VS
O/U 11.5
SD
5.3
Projected Score
Win Probability
CHCSD
-1.5
Run Line (CHC)
11.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 56.1% (2,512 games)
Projected Runs Range 10th – 90th percentile
SD
357
CHC
468
Starting Pitcher Matchup
R TBD
SD
Shota Imanaga L
CHC
FF43%92 mph18% whiff
FS33%83 mph41% whiff
ST14%82 mph35% whiff
Weather Impact
Wrigley Field
91°F14 mph wind
HR: 1.015 Total: 1.005
thin air, 7mph in
Bullpen Comparison
SD
3.15ERA
3.66FIP
8.41K/9
3.44BB/9
1.23WHIP
CHC
4.04ERA
5.13FIP
8.17K/9
4.04BB/9
1.34WHIP
Betting Edges
RUN_LINE AWAY +1.5
-34.0% EV
-147
TOTAL OVER 11.5
-9.4% EV
-114
ML HOME
-6.7% EV
-154
RUN_LINE HOME -1.5
-5.5% EV
+122
TOTAL UNDER 11.5
+0.5% EV
-106
ML AWAY
-0.1% EV
+130
First 5 Innings & NRFI
SD F5
3.0 runs
40.1% win
CHC F5
3.5 runs
49.1% win
F5 Total
6.4
NRFI
45.8%
YRFI
54.2%
Avg 1st Inn Runs
1.37
HR Spotlight
Avg HRs
3.7
Over 0.5 HR
97%
Over 1.5 HR
87%
No HR
3%
Pitcher Strikeout Projections
0.0 K projected
SD | K/9: 0.0
Shota Imanaga
0.0 K projected
CHC | K/9: 0.0
Injury Report
SD8 injured
German Marquez SP15-DAY-IL
Matt Waldron SP15-DAY-IL
Ty France 1BDAY-TO-DAY
Nick Pivetta SP60-DAY-IL
Jake Cronenworth 2B7-DAY IL
Lucas Giolito SP15-DAY-IL
+2 more
CHC8 injured
Matt Shaw RFDAY-TO-DAY
Daniel Palencia RP15-DAY-IL
Hoby Milner RP15-DAY-IL
Jameson Taillon SP15-DAY-IL
Phil Maton RP15-DAY-IL
Ben Brown RP15-DAY-IL
+2 more
Edge Analysis
Moneyline
CHC 56.0%
-5.5 pts
Run Line
-1.5
-5.5 pts
Total
11.5
+0.5 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 →