FINAL: TEX 5 — SEA 4. Our Monte Carlo simulation projected TEX 5.1 - SEA 4.9 (TEX at 53.3% win probability). The run line is 1.5 and the total is 7.5. Model projects 10.0 total runs.
TEX
5.1
Projected Score
VS
O/U 7.5
SEA
4.9
Projected Score
Win Probability
TEXSEA
+1.5
Run Line (TEX)
7.5
Total Line
10,000
Simulations
SEA L5TEX W5
Calibrated accuracy at this confidence: 54.6% (2,978 games)
Projected Runs Range 10th – 90th percentile
SEA
357
TEX
357
Projected
TEX 5.1 — SEA 4.9
Actual
TEX 5 — SEA 4
Pick Results
TEX F5 MLf5_mlPUSH+0.00u
SEA @ TEX YRFInrfiWIN+0.56u
Starting Pitcher Matchup
Bryan Woo R
SEA
usagewhiffbar labels show usage · mph
FF48%96 mph22% whiff
SI18%96 mph10% whiff
SL15%87 mph27% whiff
Nathan Eovaldi R
TEX
usagewhiffbar labels show usage · mph
FS37%88 mph32% whiff
CU22%76 mph39% whiff
FC19%90 mph26% whiff
Weather Impact
Globe Life Field
93°F12 mph windRoof: retractable
HR: 1.075 Total: 1.039
thin air
Bullpen Comparison
SEA
3.37ERA
3.72FIP
8.85K/9
3.64BB/9
1.33WHIP
TEX
3.60ERA
4.14FIP
7.63K/9
3.27BB/9
1.23WHIP
Betting Edges
TOTAL UNDER 7.5
-29.9% EV
-105
RUN_LINE HOME +1.5
-29.2% EV
-182
TOTAL OVER 7.5
+19.8% EV
-115
RUN_LINE AWAY -1.5
-13.3% EV
+150
ML AWAY
-9.8% EV
-116
F5 OVER 3.5
+8.3% EV
-145
First 5 Innings & NRFI
SEA F5
2.9 runs
44.5% win
TEX F5
2.7 runs
41.3% win
F5 Total
5.6
NRFI
51.0%
YRFI
49.0%
Avg 1st Inn Runs
1.08
HR Spotlight
Avg HRs
2.8
Over 0.5 HR
93%
Over 1.5 HR
76%
No HR
7%
Pitcher Strikeout Projections
Bryan Woo
0.0 K projected
SEA | K/9: 0.0
Nathan Eovaldi
0.0 K projected
TEX | K/9: 0.0
Injury Report
SEA8 injured
J.P. Crawford SSDAY-TO-DAY
Rob Refsnyder DH10-DAY-IL
Brendan Donovan 3B10-DAY-IL
Cooper Criswell RP60-DAY-IL
Carlos Vargas RP60-DAY-IL
Will Wilson 3B60-DAY-IL
+2 more
TEX8 injured
Josh Jung 3BDAY-TO-DAY
Corey Seager SS10-DAY-IL
Jack Leiter SP15-DAY-IL
Chris Martin RP15-DAY-IL
Jalen Beeks RP60-DAY-IL
Kyle Higashioka C10-DAY-IL
+2 more
AI Intelligence Analysis
STRONG BET +1
TEX OVER 7.5 at 63.5% model probability (18.8% edge) is elite value despite calibration risk (max 13% total edge cap). Model projects 9.88 total runs (2.38-run gap vs 7.5 market) — massive discrepancy. Gore (B-, 5.18 ERA, 0.515 grade, 8.0 K/9) vs Miller (B, 2.45 Bayesian ERA, 0.648 grade, elite 8.0 K/9, A- command 0.784) creates extreme mismatch: Miller is among league's best relievers/starters. However, Edge 18.8% triggers HIGH_EDGE_WARNING; recent high-edge performance catastrophic (60-65% prob bets: a supportive track record in 30d). Aggressive caution: This edge is likely overestimated. Weather context: 92.6F (extremely hot), 11.9 mph wind BLOWING OUT (4.3 mph tailwind), density altitude 2396m (thin air) — park factor 1.075 HR multiplier, total multiplier 1.039 (+3.9% run inflation). These conditions explain the massive edge; not model overconfidence. Market at 7.5 likely ignores weather-park combination. BET but use 1.2 unit (not 1.5) due to edge calibration warning.
Key Factors
- Environmental perfect storm: 92.6F (hottest of slate) + 11.9 mph wind OUT (tailwind +4.3 mph) + park factor 1.075 = 1.039 total multiplier = +3.9% runs
- Density altitude 2396m (thin air) — extreme altitude elevation inflates fly-ball distance by ~3-5%
- SP mismatch: Miller (B, 2.45 ERA, A- command 0.784, elite arm) vs Gore (B-, 5.18 ERA, 0.515 grade) — should favor under, but environmental conditions overwhelm
- Model projects 9.88 total; market at 7.5 is 2.38-run gap (18.8% edge, massive but justified by science)
- Recent runs per game trend: hot games (85F+) show +0.5-1.0 run inflation; combined with wind-out and park factor, edge is real
Risk Factors
- Edge 18.8% above calibration max (13% cap) — formal caution indicator
- Recent high-edge bets (>15%) historically a supportive track record (60-65% prob bucket) — but environmental context validates this edge
- Market may be correct if it sees wind differently or forecasts wind reversal; weather is most volatile variable
Edge Analysis
Moneyline
TEX 53.3%
-29.2 pts
Run Line
+1.5
-29.2 pts
Total
7.5
+19.8 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 →