TEX vs NYY prediction for May 6, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects NYY 4.9 - TEX 4.2. NYY is favored with a 59.3% win probability. The run line is -1.5 and the total is 8.5. Model projects 9.1 total runs.
NYY
4.9
Projected Score
VS
O/U 8.5
TEX
4.2
Projected Score
Win Probability
NYYTEX
-1.5
Run Line (NYY)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 60.7% (2,040 games)
Projected Runs Range 10th – 90th percentile
TEX
246
NYY
357
Projected
NYY 4.9 — TEX 4.2
Actual
NYY 1 — TEX 6
Starting Pitcher Matchup
Nathan Eovaldi R
TEX
FS38%88 mph29% whiff
FC22%91 mph32% whiff
CU18%77 mph32% whiff
Will Warren R
NYY
FF41%94 mph21% whiff
SI24%94 mph19% whiff
ST24%84 mph23% whiff
Weather Impact
Yankee Stadium
66°F6 mph wind
HR: 1.003 Total: 1.000
neutral
Bullpen Comparison
TEX
2.69ERA
4.00FIP
7.68K/9
3.48BB/9
1.14WHIP
NYY
3.36ERA
3.57FIP
8.87K/9
3.32BB/9
1.28WHIP
Betting Edges
RUN_LINE AWAY +1.5
-40.3% EV
-139
F5_ML HOME
-7.9% EV
-167
RUN_LINE HOME -1.5
-7.2% EV
+115
TOTAL UNDER 8.5
-6.7% EV
-108
ML HOME
-6.1% EV
-175
NRFI NRFI
+3.3% EV
-111
First 5 Innings & NRFI
TEX F5
2.3 runs
36.7% win
NYY F5
2.8 runs
48.3% win
F5 Total
5.1
NRFI
56.0%
YRFI
44.0%
Avg 1st Inn Runs
0.91
HR Spotlight
Avg HRs
2.8
Over 0.5 HR
93%
Over 1.5 HR
76%
No HR
7%
Aaron Judge NYY30.0%
ISO: 0.351 | Barrel: 20.0% | vs Nathan Eovaldi | Park: 1.10x
Corey Seager TEX28.3%
ISO: 0.265 | Barrel: 9.6% | vs Will Warren | Park: 1.10x Platoon: 1.12x
Cody Bellinger NYY21.8%
ISO: 0.202 | Barrel: 11.5% | vs Nathan Eovaldi | Park: 1.10x Platoon: 1.12x
Pitcher Strikeout Projections
Nathan Eovaldi
0.0 K projected
TEX | K/9: 0.0
Will Warren
0.0 K projected
NYY | K/9: 0.0
Injury Report
TEX8 injured
Josh Smith 2B10-DAY-IL
Wyatt Langford LF10-DAY-IL
Chris Martin RP15-DAY-IL
Carter Baumler RP15-DAY-IL
Cody Bradford SP60-DAY-IL
Robert Garcia RP15-DAY-IL
+2 more
NYY8 injured
Gerrit Cole SP15-DAY-IL
Carlos Rodon SP15-DAY-IL
Ben Rice 1BDAY-TO-DAY
Giancarlo Stanton DH10-DAY-IL
Angel Chivilli RP15-DAY-IL
Ben Hess SPDAY-TO-DAY
+2 more
AI Intelligence Analysis
NEUTRAL -1YELLOW ZONE53.5% WR (n=141)
Model projects NYY 59.8% home win prob but market prices -175 (63.7% implied) = -6.1% ML edge (model actually DISFAVORS home). This contradiction signals data integrity risk. SP matchup shows Warren (2.58 ERA, B+ grade) favoring home NYY vs Eovaldi (5.14 ERA, B- grade = 2.56 gap). Market's heavy -175 pricing seems justified, but model's -6.1% edge suggest model sees Eovaldi as stronger or NYY as weaker than market prices. Without injury/lineup confirmation, SKIP is safer than forcing a bet against market consensus.
Key Factors
- SP quality mismatch: Warren 2.58 ERA / 31% K (B+ elite) vs Eovaldi 5.14 ERA / 20.7% K (B- below-avg) = 2.56 gap favoring NYY.
- Market-model inversion: Market 63.7% NYY vs model 59.8% = market MORE bullish NYY, unusual for heavy favorite. Suggests market sees additional edge model misses.
- Home field at Yankee Stadium: +8% HR factor, 65.8°F neutral temp, 5.6 mph neutral wind. Park favors NYY slightly.
- Bullpen: NYY 3.36 elite relief ERA vs TEX 2.69 (elite). TEX bullpen is stronger, reducing NYY back-end advantage.
Risk Factors
- Model weaker on heavy favorite: When model < market on heavy fav, caution. Market respects Eovaldi / suspects model overconfidence on Warren.
- Edge conflicts: -6.1% ML edge is AGAINST home despite 2.56 SP gap. Suggests model error or missing adjustment (fatigue, resting).
- Eovaldi experience: Career 3.71 ERA pitcher, not a scrub. May be underrated by model's recent form bias.
DATA INTEGRITY ISSUE (model weaker on heavy favorite vs market, unusual)MODEL MARKET CONFLICT (market more bullish NYY, model skeptical)SP MISMATCH STANDARD (2.56 ERA gap justified market pricing)BULLPEN EDGE TEX (2.69 relief ERA vs NYY 3.36)SKIP DISCIPLINE (avoid forcing bet against market in ambiguous spot)MINOR INJURIES (Stanton, Smith, Langford IL but not critical)
Edge Analysis
Moneyline
NYY 59.3%
-7.2 pts
Run Line
-1.5
-7.2 pts
Total
8.5
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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 →