LAD vs CWS prediction for June 14, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects CWS 4.3 - LAD 3.8. CWS is favored with a 56.2% win probability. The run line is 1.5 and the total is 9.5. Model projects 8.2 total runs.
CWS
4.3
Projected Score
VS
O/U 9.5
LAD
3.8
Projected Score
Win Probability
CWSLAD
+1.5
Run Line (CWS)
9.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 59.2% (2,331 games)
Projected Runs Range 10th – 90th percentile
LAD
246
CWS
246
Projected
CWS 4.3 — LAD 3.8
Actual
CWS 6 — LAD 4
Starting Pitcher Matchup
Emmet Sheehan R
LAD
FF42%94 mph25% whiff
SL32%87 mph38% whiff
CH16%85 mph21% whiff
Bryan Hudson L
CWS
FF67%92 mph22% whiff
ST22%81 mph23% whiff
SI8%90 mph27% whiff
Weather Impact
Guaranteed Rate Field
69°F12 mph wind
HR: 1.003 Total: 0.999
5mph in
Bullpen Comparison
LAD
3.55ERA
3.39FIP
10.04K/9
3.73BB/9
1.19WHIP
CWS
4.32ERA
4.71FIP
8.48K/9
4.90BB/9
1.34WHIP
Betting Edges
F5_ML HOME
+44.2% EV
+150
ML HOME
+38.2% EV
+164
F5_ML AWAY
-35.2% EV
-189
RUN_LINE AWAY -1.5
-34.7% EV
-118
ML AWAY
-28.1% EV
-196
TOTAL OVER 9.5
-26.2% EV
-102
First 5 Innings & NRFI
LAD F5
1.7 runs
30.1% win
CWS F5
2.6 runs
54.7% win
F5 Total
4.2
NRFI
56.8%
YRFI
43.2%
Avg 1st Inn Runs
0.90
HR Spotlight
Avg HRs
1.8
Over 0.5 HR
83%
Over 1.5 HR
54%
No HR
17%
Braden Montgomery CWS30.0%
ISO: 0.192 | Barrel: 19.2% | vs Emmet Sheehan | Park: 1.01x Platoon: 1.12x
Colson Montgomery CWS30.0%
ISO: 0.248 | Barrel: 14.2% | vs Emmet Sheehan | Park: 1.01x Platoon: 1.12x
Drew Romo CWS30.0%
ISO: 0.220 | Barrel: 13.6% | vs Emmet Sheehan | Park: 1.01x Platoon: 1.12x
Pitcher Strikeout Projections
Emmet Sheehan
0.0 K projected
LAD | K/9: 0.0
Bryan Hudson
0.0 K projected
CWS | K/9: 0.0
Injury Report
LAD8 injured
Tyler Glasnow SP60-DAY-IL
Miguel Rojas SSDAY-TO-DAY
Tommy Edman 2B60-DAY-IL
Brock Stewart RP15-DAY-IL
Justin Wrobleski SPDAY-TO-DAY
Will Smith C10-DAY-IL
+2 more
CWSHealthy
Edge Analysis
Moneyline
CWS 56.2%
-14.0 pts
Run Line
+1.5
-14.0 pts
Total
9.5
+14.8 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 →