CWS vs BAL prediction for July 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects BAL 6.3 - CWS 5.2. BAL is favored with a 60.7% win probability. The run line is -1.5 and the total is 10.5. Model projects 11.4 total runs.
BAL
6.3
Projected Score
VS
O/U 10.5
CWS
5.2
Projected Score
Win Probability
BALCWS
-1.5
Run Line (BAL)
10.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 59.5% (2,559 games)
Projected Runs Range 10th – 90th percentile
CWS
357
BAL
468
Starting Pitcher Matchup
Noah Schultz L
CWS
SI26%95 mph6% whiff
FF25%95 mph22% whiff
ST22%83 mph33% whiff
Dean Kremer R
BAL
FF25%93 mph13% whiff
FS21%82 mph40% whiff
FC18%87 mph22% whiff
Weather Impact
Oriole Park at Camden Yards
96°F4 mph wind
HR: 1.026 Total: 1.012
thin air
Bullpen Comparison
CWS
4.29ERA
4.67FIP
8.64K/9
4.97BB/9
1.34WHIP
BAL
4.34ERA
4.01FIP
8.76K/9
3.44BB/9
1.30WHIP
Betting Edges
RUN_LINE AWAY +1.5
-40.4% EV
-156
TOTAL UNDER 10.5
-11.7% EV
-120
F5_ML AWAY
-8.9% EV
+116
ML AWAY
-7.5% EV
+130
RUN_LINE HOME -1.5
+3.1% EV
+130
TOTAL OVER 10.5
+2.4% EV
-102
First 5 Innings & NRFI
CWS F5
2.9 runs
36.9% win
BAL F5
3.6 runs
51.5% win
F5 Total
6.5
NRFI
44.4%
YRFI
55.6%
Avg 1st Inn Runs
1.28
HR Spotlight
Avg HRs
3.2
Over 0.5 HR
96%
Over 1.5 HR
81%
No HR
4%
Miguel Vargas CWS30.0%
ISO: 0.200 | Barrel: 14.0% | vs Dean Kremer | Park: 1.03x
Braden Montgomery CWS30.0%
ISO: 0.151 | Barrel: 15.1% | vs Dean Kremer | Park: 1.03x Platoon: 1.12x
Drew Romo CWS30.0%
ISO: 0.214 | Barrel: 13.2% | vs Dean Kremer | Park: 1.03x Platoon: 1.12x
Pitcher Strikeout Projections
Noah Schultz
0.0 K projected
CWS | K/9: 0.0
Dean Kremer
0.0 K projected
BAL | K/9: 0.0
Injury Report
CWSHealthy
BAL8 injured
Keegan Akin RP15-DAY-IL
Yaramil Hiraldo RP60-DAY-IL
Felix Bautista RP60-DAY-IL
Colin Selby RP60-DAY-IL
Chris Bassitt SP15-DAY-IL
Ryan Mountcastle 1B60-DAY-IL
+2 more
AI Intelligence Analysis
Edge Analysis
Moneyline
BAL 60.7%
+3.1 pts
Run Line
-1.5
+3.1 pts
Total
10.5
+2.4 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 →