DET vs CWS prediction for May 29, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects CWS 5.5 - DET 4.5. CWS is favored with a 59.8% win probability. The run line is 1.5 and the total is 8.5. Model projects 10.0 total runs.
CWS
5.5
Projected Score
VS
O/U 8.5
DET
4.5
Projected Score
Win Probability
CWSDET
+1.5
Run Line (CWS)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 58.3% (2,300 games)
Projected Runs Range 10th – 90th percentile
DET
346
CWS
467
Projected
CWS 5.5 — DET 4.5
Actual
CWS 4 — DET 3
Starting Pitcher Matchup
Troy Melton R
DET
FF45%97 mph25% whiff
SL21%86 mph26% whiff
SI11%96 mph11% whiff
Erick Fedde R
CWS
ST37%82 mph22% whiff
SI28%94 mph4% whiff
FC23%90 mph12% whiff
Weather Impact
Guaranteed Rate Field
70°F6 mph wind
HR: 1.060 Total: 1.033
6mph out
Bullpen Comparison
DET
4.40ERA
4.25FIP
9.02K/9
4.41BB/9
1.41WHIP
CWS
5.20ERA
5.03FIP
8.80K/9
5.16BB/9
1.47WHIP
Betting Edges
RUN_LINE HOME +1.5
-24.5% EV
-182
RUN_LINE AWAY -1.5
-23.8% EV
+150
F5_ML AWAY
-19.7% EV
-120
ML AWAY
-18.9% EV
-108
TOTAL UNDER 8.5
-16.6% EV
-104
ML HOME
+11.9% EV
-108
First 5 Innings & NRFI
DET F5
2.5 runs
35.9% win
CWS F5
3.2 runs
51.1% win
F5 Total
5.7
NRFI
52.1%
YRFI
47.9%
Avg 1st Inn Runs
1.05
HR Spotlight
Avg HRs
2.6
Over 0.5 HR
92%
Over 1.5 HR
73%
No HR
8%
Dillon Dingler DET30.0%
ISO: 0.229 | Barrel: 13.1% | vs Erick Fedde | Park: 1.01x
Munetaka Murakami CWS30.0%
ISO: 0.336 | Barrel: 18.0% | vs Troy Melton | Park: 1.01x Platoon: 1.12x
Drew Romo CWS30.0%
ISO: 0.304 | Barrel: 17.8% | vs Troy Melton | Park: 1.01x Platoon: 1.12x
Pitcher Strikeout Projections
Troy Melton
0.0 K projected
DET | K/9: 0.0
Erick Fedde
0.0 K projected
CWS | K/9: 0.0
Injury Report
DET8 injured
Kenley Jansen RP15-DAY-IL
Tarik Skubal SP15-DAY-IL
Casey Mize SPDAY-TO-DAY
Gleyber Torres 2B10-DAY-IL
Kerry Carpenter RF10-DAY-IL
Justin Verlander SP60-DAY-IL
+2 more
CWSHealthy
Edge Analysis
Moneyline
CWS 59.8%
-24.5 pts
Run Line
+1.5
-24.5 pts
Total
8.5
+6.3 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. Full methodology →