FINAL: TEX 10 — CWS 0. Our Monte Carlo simulation projected TEX 6.2 - CWS 6.6 (TEX at 50.9% win probability). The run line is 1.5 and the total is 8.5. Model projects 12.8 total runs.
TEX
6.2
Projected Score
VS
O/U 8.5
CWS
6.6
Projected Score
Win Probability
TEXCWS
+1.5
Run Line (TEX)
8.5
Total Line
10,000
Simulations
CWSTEX W5
Calibrated accuracy at this confidence: 52.0% (2,971 games)
Projected Runs Range 10th – 90th percentile
CWS
579
TEX
468
Projected
TEX 6.2 — CWS 6.6
Actual
TEX 10 — CWS 0
Pick Results
CWS @ TEX F5 OVER 4.5f5WIN+0.78u
Starting Pitcher Matchup
Noah Schultz L
CWS
usagewhiffbar labels show usage · mph
SI24%95 mph7% whiff
FF24%95 mph20% whiff
ST22%83 mph30% whiff
Kumar Rocker R
TEX
usagewhiffbar labels show usage · mph
SL38%83 mph39% whiff
SI31%94 mph8% whiff
FC15%90 mph19% whiff
Weather Impact
Globe Life Field
105°F4 mph windRoof: retractable
HR: 1.049 Total: 1.023
thin air
Bullpen Comparison
CWS
4.29ERA
4.67FIP
8.64K/9
4.97BB/9
1.34WHIP
TEX
3.60ERA
4.14FIP
7.63K/9
3.27BB/9
1.23WHIP
Betting Edges
TOTAL UNDER 8.5
-45.9% EV
-104
TOTAL OVER 8.5
+34.0% EV
-118
RUN_LINE HOME +1.5
-31.2% EV
-179
F5 OVER 4.5
+24.0% EV
-128
F5_ML HOME
-8.6% EV
-128
ML HOME
-5.8% EV
-120
First 5 Innings & NRFI
CWS F5
3.7 runs
44.0% win
TEX F5
3.7 runs
45.2% win
F5 Total
7.4
NRFI
41.3%
YRFI
58.7%
Avg 1st Inn Runs
1.52
HR Spotlight
Avg HRs
3.4
Over 0.5 HR
96%
Over 1.5 HR
84%
No HR
4%
Munetaka Murakami CWS30.0%
ISO: 0.078 | Barrel: 7.8% | vs Kumar Rocker | Park: 1.02x Platoon: 1.12x
Colson Montgomery CWS30.0%
ISO: 0.249 | Barrel: 14.4% | vs Kumar Rocker | Park: 1.02x Platoon: 1.12x
Miguel Vargas CWS30.0%
ISO: 0.200 | Barrel: 9.3% | vs Kumar Rocker | Park: 1.02x
Pitcher Strikeout Projections
Noah Schultz
0.0 K projected
CWS | K/9: 0.0
Kumar Rocker
0.0 K projected
TEX | K/9: 0.0
Injury Report
CWSHealthy
TEX8 injured
Cody Freeman 3B10-DAY-IL
Danny Jansen C10-DAY-IL
Corey Seager SS10-DAY-IL
Cody Bradford SP60-DAY-IL
Jordan Montgomery SP60-DAY-IL
Jack Leiter SP15-DAY-IL
+2 more
AI Intelligence Analysis
STRONG BET +1
Model 72.4% OVER 8.5 (12.83 total, +34.0% EXTREME edge) — CRITICAL WARNING: extreme edge historically weak historical support. Model projects YRFI 56% (edge +3.5%), F5 OVER 4.5 69.7% (+24.0% edge) — all overs. Weather 104.6F hottest venue today + retractable roof closed (neutral air) = likely 12.5-13.0 true total. CWS @ TEX known as offensive park. SP: Rocker (B-, 7.2 K/9, TBD ERA, mediocre command 0.53) vs Schultz (C+, 7.8 K/9, TBD ERA, command 0.493 lower) — both mediocre but Rocker slight edge. Bullpen: TEX 3.6 ERA solid vs CWS 4.29 ERA weaker. Edge 34% is MASSIVE red flag (calibration history shows a supportive track record on 60-65% prob bets with high edges); recommend UNIT CAP at 0.5x despite edge.
Key Factors
- EXTREME HEAT: 104.6F hottest venue on entire slate + retractable roof closed = neutral air baseline but massive heat increases ball carry distance by ~0.5-0.7 runs estimated
- Model edge 34% is EXTREME and falls into historically weak calibration historical support. MUST CAP units
- F5 OVER 4.5 edge 24.0% (69.7% prob) supports early offensive outburst expected, but full-game may cool late
- SP comparison: Rocker (B-, 7.2 K/9, command 0.53) vs Schultz (C+, 7.8 K/9, command 0.493) — Rocker slightly better but both mediocre
- Bullpen TEX 3.6 ERA vs CWS 4.29 ERA (+0.69 ERA advantage TEX) — late-game edge home team
Risk Factors
- CRITICAL: 34% edge + 72.4% win prob is EXTREME and triggers historical weak historical support. Model likely overconfident on heat effect + offensive park combo
- Calibration data shows: high edge (>15%) + high prob (>65%) = worst historical WR. Example: recent trades showed spreads with 15%+ edges had only 38.1% historical WR despite model confidence
- Market at 8.5 may be sharper than model assumes; heat effects often already priced by professional market
Edge Analysis
Moneyline
TEX 50.9%
-31.2 pts
Run Line
+1.5
-31.2 pts
Total
8.5
+34.0 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 →