OAK vs HOU prediction for June 6, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects HOU 5.2 - OAK 5.8. OAK is favored with a 54.7% win probability. The run line is -1.5 and the total is 9.0. Model projects 11.0 total runs.
HOU
5.2
Projected Score
VS
O/U 9.0
OAK
5.8
Projected Score
Win Probability
HOUOAK
-1.5
Run Line (HOU)
9.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 55.9% (2,183 games)
Projected Runs Range 10th – 90th percentile
OAK
468
HOU
357
Projected
HOU 5.2 — OAK 5.8
Actual
HOU 13 — OAK 2
Starting Pitcher Matchup
Kade Morris R
OAK
Tatsuya Imai R
HOU
SL43%87 mph35% whiff
FF42%95 mph16% whiff
SI10%95 mph16% whiff
Weather Impact
Minute Maid Park
78°F3 mph windRoof: retractable
HR: 1.047 Total: 1.025
neutral
Bullpen Comparison
OAK
4.42ERA
3.83FIP
9.04K/9
4.10BB/9
1.40WHIP
HOU
4.54ERA
4.48FIP
8.55K/9
5.02BB/9
1.35WHIP
Betting Edges
RUN_LINE AWAY +1.5
-27.7% EV
-192
TOTAL UNDER 9.0
-26.7% EV
+100
F5_ML HOME
-16.0% EV
-118
RUN_LINE HOME -1.5
-15.2% EV
+158
ML HOME
-14.1% EV
-120
F5 OVER 5.5
+8.1% EV
+112
First 5 Innings & NRFI
OAK F5
3.4 runs
49.7% win
HOU F5
2.9 runs
38.1% win
F5 Total
6.3
NRFI
44.4%
YRFI
55.6%
Avg 1st Inn Runs
1.34
HR Spotlight
Avg HRs
2.6
Over 0.5 HR
92%
Over 1.5 HR
73%
No HR
8%
Shea Langeliers OAK30.0%
ISO: 0.228 | Barrel: 15.1% | vs Tatsuya Imai | Park: 0.99x
Nick Kurtz OAK30.0%
ISO: 0.241 | Barrel: 10.6% | vs Tatsuya Imai | Park: 0.99x Platoon: 1.12x
Tyler Soderstrom OAK30.0%
ISO: 0.206 | Barrel: 10.1% | vs Tatsuya Imai | Park: 0.99x Platoon: 1.12x
Pitcher Strikeout Projections
Kade Morris
0.0 K projected
OAK | K/9: 0.0
Tatsuya Imai
0.0 K projected
HOU | K/9: 0.0
Injury Report
OAK8 injured
Aaron Civale SP15-DAY-IL
Luis Severino SP15-DAY-IL
Brooks Kriske RP60-DAY-IL
Max Muncy 3B10-DAY-IL
Jacob Wilson SS10-DAY-IL
Leo De Vries SSDAY-TO-DAY
+2 more
HOU8 injured
Hunter Brown SP60-DAY-IL
Yainer Diaz C10-DAY-IL
Brandon Walter SP60-DAY-IL
Bennett Sousa RP15-DAY-IL
Lance McCullers Jr. SP15-DAY-IL
Cristian Javier SP60-DAY-IL
+2 more
AI Intelligence Analysis
LEANYELLOW ZONE54.4% WR (n=87)
Kade Morris (OAK away pitcher) has ZERO data available (N/A ERA, missing pitch mix, 0 K-rate in profile). This is a data integrity red flag. However, simulation still projects OAK 54.7% away win prob (edge 7.2% on -120 HOU ML). Without pitcher profile, cannot assess SP matchup. Tatsuya Imai (HOU, 5.96 ERA, volatile 15.9% BB rate) is back-end starter, suggesting Morris might be solid even if profile missing. Recommend SKIP due to missing data, or LEAN with reduced unit if forced to play.
Key Factors
- TBD_PITCHER_PROFILE: Kade Morris (OAK) has 0 ERA, missing stats — data not loaded. Simulation still projects 54.7% away win, suggesting sim engine either has interim data or extrapolated. Cannot verify SP quality without profile.
- Imai (HOU, 5.96 ERA, 15.9% BB rate) is clearly below-average starter. High walk rate indicates control issues. OAK lineup has power (Langeliers, Kurtz, Soderstrom all 30.0% HR candidates) — if Morris can pitch, matchup favors OAK.
- Weather: 77.9F, 3.4 mph tail wind (minimal), roof likely closed (Minute Maid neutral). No park advantage.
- F5 OVER 5.5 shows 8.1% edge (51.0% win prob) — early-inning edge suggests both teams expected to score early if Morris doesn't establish control.
Risk Factors
- DATA INTEGRITY: Kade Morris profile is completely empty. This is a SKIP signal. Cannot advise on a game with missing starting pitcher profile.
- Zone weakness for away ML: Combo zone shows RED 43.9% WR away. This is at-odds with model 54.7% away edge. Market may be correctly skeptical of away dogs in this edge range.
- Model confidence on TBD pitcher is inherently unstable. Morris could be league-average or terrible; without data, edge confidence should be 0.
TBD PITCHERDATA INTEGRITYMODEL MARKET CONFLICT
Edge Analysis
Moneyline
OAK 54.7%
-15.2 pts
Run Line
-1.5
-15.2 pts
Total
9.0
+2.1 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 →