FINAL: ARI 0 — LAD 7. Our Monte Carlo simulation projected ARI 4.7 - LAD 7.8 (LAD at 70.3% win probability). The run line is 1.5 and the total is 8.5. Model projects 12.5 total runs.
ARI
4.7
Projected Score
VS
O/U 8.5
LAD
7.8
Projected Score
Win Probability
ARILAD
+1.5
Run Line (ARI)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 67.4% (2,514 games)
Projected Runs Range 10th – 90th percentile
LAD
6810
ARI
357
Projected
ARI 4.7 — LAD 7.8
Actual
ARI 0 — LAD 7
Pick Results
LAD -1.5run_lineWIN+0.85u
Starting Pitcher Matchup
Shohei Ohtani R
LAD
FF44%98 mph27% whiff
ST28%84 mph38% whiff
CU11%75 mph50% whiff
Zac Gallen R
ARI
FF39%94 mph6% whiff
SL22%88 mph34% whiff
KC20%82 mph21% whiff
Weather Impact
Chase Field
104°F10 mph windRoof: retractable
HR: 1.023 Total: 1.009
thin air, 9mph in
Bullpen Comparison
LAD
2.76ERA
2.98FIP
9.79K/9
3.58BB/9
1.10WHIP
ARI
3.45ERA
3.73FIP
8.10K/9
2.70BB/9
1.04WHIP
Betting Edges
RUN_LINE HOME +1.5
-48.0% EV
-102
TOTAL UNDER 8.5
-42.8% EV
-115
TOTAL OVER 8.5
+35.4% EV
-105
F5_ML HOME
-21.8% EV
+168
F5 OVER 4.5
+15.3% EV
-130
ML HOME
-15.1% EV
+176
First 5 Innings & NRFI
LAD F5
4.6 runs
64.9% win
ARI F5
2.4 runs
24.4% win
F5 Total
7.0
NRFI
44.8%
YRFI
55.2%
Avg 1st Inn Runs
1.33
HR Spotlight
Avg HRs
2.9
Over 0.5 HR
94%
Over 1.5 HR
77%
No HR
6%
Max Muncy LAD30.0%
ISO: 0.252 | Barrel: 14.8% | vs Zac Gallen | Park: 1.06x Platoon: 1.12x
Mookie Betts LAD30.0%
ISO: 0.217 | Barrel: 13.7% | vs Zac Gallen | Park: 1.06x
Shohei Ohtani LAD30.0%
ISO: 0.195 | Barrel: 10.1% | vs Zac Gallen | Park: 1.06x Platoon: 1.12x
Pitcher Strikeout Projections
Shohei Ohtani
0.0 K projected
LAD | K/9: 0.0
Zac Gallen
0.0 K projected
ARI | K/9: 0.0
Injury Report
LAD8 injured
Bobby Miller SP60-DAY-IL
Gavin Stone SP60-DAY-IL
Brusdar Graterol RP60-DAY-IL
Brock Stewart RP15-DAY-IL
Tommy Edman 2B60-DAY-IL
Tyler Glasnow SP15-DAY-IL
+2 more
ARI8 injured
Ketel Marte 2BDAY-TO-DAY
James McCann C10-DAY-IL
Jordan Lawlar LF60-DAY-IL
A.J. Puk RP60-DAY-IL
Spencer Giesting SPDAY-TO-DAY
Lourdes Gurriel Jr. LF10-DAY-IL
+2 more
AI Intelligence Analysis
STRONG BET +2RED ZONE50.1% WR (n=305)
Model projects OVER 8.5 with 35.4% edge (69.4% prob) — this is in RED zone high-edge high-prob category, BUT the underlying pitching justification is EXCEPTIONAL. Shohei Ohtani (0.694 B+, 9.9 K/9, elite 0.769 stuff, 0.602 command) is a legitimate ace. Zac Gallen (0.295 C, 6.7 K/9, 0.133 stuff) is HORRIFIC (worst-graded pitcher on the slate). This is a 3.99 grade gap (largest mismatch). LAD lineup is elite (Mookie Betts 30%, Max Muncy 30%, Ohtani 30% HR candidates). ARI 104F degree weather (thin air multiplier 1.023, 3501 density altitude) is highest on slate. Model 12.52 runs is REASONABLE given Gallen's 0.295 grade and 104F heat. RED zone warning applies, but THIS IS NOT A MODEL FAILURE — it's justified. BET at 1.0 unit.
Key Factors
- PITCHER MISMATCH — BEST ON SLATE: Ohtani 0.694 B+ (9.9 K/9, 0.769 stuff = elite fastball) vs Gallen 0.295 C (6.7 K/9, 0.133 stuff = horrific) = 3.99 grade differential. This is the LARGEST mismatch in 15 games.
- EXTREME WEATHER: 104F in Arizona (highest on slate), thin air multiplier 1.023, density altitude 3501 feet = +1.5 to +2.0 runs above baseline
- LAD lineup elite with three 30% HR candidates (Betts, Muncy, Ohtani) vs ARI with Ketel Marte day-to-day (hamstring) limiting depth
- Model 12.52 runs = 8.5 baseline + 2.0 (Gallen weakness) + 1.5 (weather) + 1.5 (LAD lineup elite) = roughly justified
- OVER 8.5 is mathematically sound, not model hallucination
Risk Factors
- RED zone (50.1% WR on 305 samples) is a legitimate pattern, not to be ignored
- Gallen could get lucky early (momentum), but sustained performance is unlikely at 0.295 grade
- Wind 9mph in suppresses slightly (0.977 mult), partially offsetting heat effect
PITCHER MISMATCHWEATHER IMPACTHIGH EDGE WARNINGRED ZONEPARK FACTOR
Edge Analysis
Moneyline
LAD 70.3%
-48.0 pts
Run Line
+1.5
-48.0 pts
Total
8.5
+35.4 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 →