DET vs TEX prediction for July 5, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects TEX 3.7 - DET 3.8. TEX is favored with a 52.8% win probability. The run line is 1.5 and the total is 7.5. Model projects 7.5 total runs.
TEX
3.7
Projected Score
VS
O/U 7.5
DET
3.8
Projected Score
Win Probability
TEXDET
+1.5
Run Line (TEX)
7.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 51.9% (2,777 games)
Projected Runs Range 10th – 90th percentile
DET
246
TEX
246
Projected
TEX 3.7 — DET 3.8
Actual
TEX 3 — DET 6
Starting Pitcher Matchup
Casey Mize R
DET
FF34%94 mph23% whiff
FS25%88 mph34% whiff
SL24%88 mph29% whiff
Kumar Rocker R
TEX
SL38%83 mph39% whiff
SI32%94 mph9% whiff
FC13%90 mph21% whiff
Weather Impact
Globe Life Field
101°F2 mph windRoof: retractable
HR: 1.064 Total: 1.033
thin air
Bullpen Comparison
DET
4.22ERA
4.23FIP
8.86K/9
4.10BB/9
1.37WHIP
TEX
3.60ERA
4.14FIP
7.63K/9
3.27BB/9
1.23WHIP
Betting Edges
RUN_LINE HOME +1.5
-31.9% EV
-161
RUN_LINE AWAY -1.5
-14.6% EV
+134
ML AWAY
-10.7% EV
-127
TOTAL OVER 7.5
-9.5% EV
-112
F5_ML AWAY
-6.6% EV
-132
ML HOME
+4.2% EV
+108
First 5 Innings & NRFI
DET F5
2.2 runs
44.4% win
TEX F5
2.0 runs
39.8% win
F5 Total
4.2
NRFI
55.7%
YRFI
44.3%
Avg 1st Inn Runs
0.89
HR Spotlight
Avg HRs
2.7
Over 0.5 HR
93%
Over 1.5 HR
74%
No HR
7%
Kerry Carpenter DET30.0%
ISO: 0.270 | Barrel: 12.3% | vs Kumar Rocker | Park: 1.02x Platoon: 1.12x
Dillon Dingler DET30.0%
ISO: 0.294 | Barrel: 9.2% | vs Kumar Rocker | Park: 1.02x
Spencer Torkelson DET30.0%
ISO: 0.227 | Barrel: 13.5% | vs Kumar Rocker | Park: 1.02x
Pitcher Strikeout Projections
Casey Mize
0.0 K projected
DET | K/9: 0.0
Kumar Rocker
0.0 K projected
TEX | K/9: 0.0
Injury Report
DET8 injured
Gleyber Torres 2B10-DAY-IL
Will Vest RP15-DAY-IL
Jackson Jobe SP60-DAY-IL
Wenceel Perez RF60-DAY-IL
Parker Meadows CF60-DAY-IL
Burch Smith RP60-DAY-IL
+2 more
TEX8 injured
Jakob Junis RP15-DAY-IL
Jalen Beeks RP15-DAY-IL
Corey Seager SS10-DAY-IL
Jordan Montgomery SP60-DAY-IL
Wyatt Langford LF10-DAY-IL
Cody Freeman 3B10-DAY-IL
+2 more
AI Intelligence Analysis
NEUTRALYELLOW ZONE56.0% WR (n=156)
Casey Mize (B-grade, 2.84 ERA, 26.2% K-rate, elite 69.8% command score) is a TOP-TIER pitcher away from Detroit. Kumar Rocker (B- grade, 4.14 ERA, 20.3% K-rate) is solid but clearly inferior at home. Model shows HOME ML at 4.2% edge (50.1% win prob) — this is a MICRO-EDGE with Mize's elite quality being offset by home field. However, DET in 100.6F heat (extreme, highest temp on slate with +6.4% HR multiplier at Globe Life retractable roof) should help. Weather is neutral due to roof, but interior heat can suppress runs. Model projects DET UNDER 7.5 at only 0.6% edge — trivial. Overall, this is a BALANCED matchup (elite away pitcher vs home field advantage). Market prices DET at +108 (48.1% implied), suggesting slight lean to away. Given Mize's elite quality (2.84 ERA, 69.8% command), I would SLIGHTLY favor away (DET), but the edges are all <5% and should be skipped per calibration guidance.
Key Factors
- Pitcher mismatch: Mize 2.84 ERA (B, 69.8% command, elite) vs Rocker 4.14 ERA (B-, 51.2% command, solid) — massive advantage Mize
- Home field: ~1-2% baseline advantage to TEX offsets Mize's quality edge
- Temperature 100.6F is extreme but retractable roof closed at Globe Life eliminates weather impact
- Market implies 48.1% home win prob vs model 50.1% — very close, slight away consensus
Risk Factors
- Mize's elite quality away is rare; could be underestimated by market
- Micro-edges (<5%) historically underperform
ELITE PITCHER ADVANTAGEHOME FIELD OFFSETMICRO EDGESEXTREME WEATHER NEUTRAL DUE TO ROOF
Edge Analysis
Moneyline
TEX 52.8%
-31.9 pts
Run Line
+1.5
-31.9 pts
Total
7.5
+0.6 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 →