MLB Baseball

NYY vs TB Prediction

July 9, 2026

10,000 Monte Carlo simulations

NYY vs TB prediction for July 9, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects TB 3.4 - NYY 3.4. TB is favored with a 50.6% win probability. The run line is -1.5 and the total is 7.5. Model projects 6.7 total runs.

TB
3.4
Projected Score
VS O/U 7.5
NYY
3.4
Projected Score
Win Probability
50.6%
49.4%
TBNYY
-1.5
Run Line (TB)
7.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 50.9% (2,789 games)

Projected Runs Range 10th – 90th percentile

NYY
135
TB
135
FINALTB 4 — NYY 12
Projected
TB 3.4 — NYY 3.4
Actual
TB 4 — NYY 12

Starting Pitcher Matchup

Paul Blackburn R
NYY
SI33%94 mph7% whiff
FC26%92 mph15% whiff
CH17%87 mph27% whiff
Drew Rasmussen R
TB
FC32%90 mph24% whiff
FF27%96 mph23% whiff
SI22%96 mph11% whiff

Weather Impact

Tropicana Field
94°F4 mph windRoof: closed
HR: 1.000 Total: 1.000
Indoor (neutral)

Bullpen Comparison

NYY
3.36ERA
3.71FIP
8.80K/9
3.56BB/9
1.27WHIP
TB
4.35ERA
4.16FIP
8.55K/9
3.50BB/9
1.33WHIP

Betting Edges

RUN_LINE AWAY +1.5
-32.8% EV
-167
TOTAL OVER 7.5
-23.8% EV
-110
TOTAL UNDER 7.5
+15.4% EV
-109
RUN_LINE HOME -1.5
-13.7% EV
+137
F5_ML HOME
-11.8% EV
-175
ML HOME
-10.9% EV
-149

First 5 Innings & NRFI

NYY F5
1.6 runs
36.9% win
TB F5
1.9 runs
44.6% win
F5 Total
3.6
NRFI
63.3%
YRFI
36.7%
Avg 1st Inn Runs
0.73

HR Spotlight

Avg HRs
1.8
Over 0.5 HR
83%
Over 1.5 HR
52%
No HR
17%
Ben Rice NYY30.0%
ISO: 0.347 | Barrel: 15.4% | vs Drew Rasmussen | Park: 0.92x Platoon: 1.12x
Junior Caminero TB30.0%
ISO: 0.227 | Barrel: 14.0% | vs Paul Blackburn | Park: 0.92x
Ryan McMahon NYY21.0%
ISO: 0.172 | Barrel: 12.1% | vs Drew Rasmussen | Park: 0.92x Platoon: 1.12x

Pitcher Strikeout Projections

Paul Blackburn
0.0 K projected
NYY | K/9: 0.0
Drew Rasmussen
0.0 K projected
TB | K/9: 0.0

Injury Report

NYY5 injured
Carlos Rodon SP15-DAY-IL
Giancarlo Stanton DH10-DAY-IL
Max Fried SP15-DAY-IL
Aaron Judge RF10-DAY-IL
Clarke Schmidt SP60-DAY-IL
TB8 injured
Jesse Scholtens RP15-DAY-IL
Steven Matz SP15-DAY-IL
Edwin Uceta RP60-DAY-IL
Jake Fraley RF10-DAY-IL
Manuel Rodriguez RP60-DAY-IL
Gavin Lux LF60-DAY-IL
+2 more

AI Intelligence Analysis

LEANYELLOW ZONE50.1% WR (n=318)
Blackburn (2.40 Bayesian ERA, C+ stuff but excellent control) is significantly better than Rasmussen (3.0 ERA, B stuff)—1.6 ERA advantage, sinker-heavy inducing ground balls. Domed Tropicana Field eliminates weather variance, neutralizing any home advantage. NYY injuries (Judge, Stanton out) reduce offensive ceiling, supporting 6.74 model total vs 7.5 market—solid UNDER edge at 15.4% despite YELLOW zone caution.

Key Factors

  • Blackburn ERA 2.40 vs Rasmussen 3.0 = 1.6 ERA advantage for away pitcher; Blackburn's sinker (33%) + FC (26%) induces weak contact, perfect for suppressed scoring
  • Domed Tropicana (94.5°F, closed roof, neutral weather) eliminates weather advantage, baseline offense—no environmental boost for either side
  • NYY injuries: Judge (10-day ribs), Stanton (10-day calf) remove two star bats from lineup—estimated -1.0 to -1.5 run swing on offensive production
  • Market total 7.5 appears calibrated to normal NYY lineup; adjusted for injuries, 6.74 model is reasonable
  • UNDER 7.5 shows 15.4% edge with 60.1% model probability vs 39.9% market—meaningful but not extreme value

Risk Factors

  • YELLOW zone total bets at 50.1% WR (318 samples) suggests market is efficient on totals; 15.4% edge may compress toward game-time
  • TB's elite closer (FIP 4.16) could limit damage late if deficit develops, making under harder to hit if NYY scores early
  • Rasmussen at 3.0 ERA is still respectable; not a liability, so BP edge (NYY 3.36 vs TB 4.35) partially offset by starting pitcher quality
PITCHER MISMATCHWEATHER IMPACTTOTALS VALUEYELLOW ZONE

Edge Analysis

Moneyline
TB 50.6%
-13.7 pts
Run Line
-1.5
-13.7 pts
Total
7.5
+15.4 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 →

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