TEX vs STL prediction for June 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects STL 4.9 - TEX 5.5. TEX is favored with a 53.6% win probability. The run line is 1.5 and the total is 7.5. Model projects 10.5 total runs.
STL
4.9
Projected Score
VS
O/U 7.5
TEX
5.5
Projected Score
Win Probability
STLTEX
+1.5
Run Line (STL)
7.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 53.7% (2,300 games)
Projected Runs Range 10th – 90th percentile
TEX
467
STL
357
Starting Pitcher Matchup
Jacob deGrom R
TEX
FF42%97 mph23% whiff
SL36%91 mph41% whiff
CH14%90 mph39% whiff
Michael McGreevy R
STL
FF24%91 mph12% whiff
CH20%87 mph31% whiff
SI16%90 mph10% whiff
Weather Impact
Busch Stadium
82°F4 mph wind
HR: 1.052 Total: 1.027
thin air
Bullpen Comparison
TEX
3.47ERA
4.14FIP
7.47K/9
3.57BB/9
1.23WHIP
STL
4.36ERA
4.35FIP
8.23K/9
4.51BB/9
1.39WHIP
Betting Edges
RUN_LINE HOME +1.5
-37.7% EV
-169
TOTAL UNDER 7.5
-34.3% EV
-110
TOTAL OVER 7.5
+25.3% EV
-110
F5 OVER 4.5
+21.7% EV
+116
F5_ML AWAY
-12.5% EV
-141
ML HOME
-4.3% EV
+106
First 5 Innings & NRFI
TEX F5
3.0 runs
43.1% win
STL F5
3.0 runs
43.8% win
F5 Total
6.0
NRFI
51.0%
YRFI
49.0%
Avg 1st Inn Runs
1.10
HR Spotlight
Avg HRs
3.1
Over 0.5 HR
95%
Over 1.5 HR
81%
No HR
5%
Pitcher Strikeout Projections
Jacob deGrom
0.0 K projected
TEX | K/9: 0.0
Michael McGreevy
0.0 K projected
STL | K/9: 0.0
Injury Report
TEX8 injured
Corey Seager SS10-DAY-IL
Evan Carter CFDAY-TO-DAY
Wyatt Langford LF10-DAY-IL
Josh Smith 2B10-DAY-IL
Cole Winn RP15-DAY-IL
Carter Baumler RP60-DAY-IL
+2 more
STL8 injured
Lars Nootbaar LF60-DAY-IL
Nathan Church LF10-DAY-IL
Ramon Urias 3B10-DAY-IL
Packy Naughton RPDAY-TO-DAY
Sem Robberse SPDAY-TO-DAY
Victor Santos RPDAY-TO-DAY
+2 more
AI Intelligence Analysis
Edge Analysis
Moneyline
TEX 53.6%
-37.7 pts
Run Line
+1.5
-37.7 pts
Total
7.5
+25.3 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. Full methodology →