MLB Baseball

ATL vs ARI Prediction

April 5, 2026

10,000 Monte Carlo simulations

ATL vs ARI prediction for April 5, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects ARI 5.9 - ATL 5.5. ARI is favored with a 56.1% win probability. The run line is 1.5 and the total is 9.0. Model projects 11.3 total runs.

ARI
5.9
Projected Score
VS O/U 9.0
ATL
5.5
Projected Score
Win Probability
56.1%
43.9%
ARIATL
+1.5
Run Line (ARI)
9.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 53.6% (2,040 games)

Projected Runs Range 10th – 90th percentile

ATL
467
ARI
468

Pick Results

Tim Tawa OVER 0.5 Hitsbatter_hitsLOSS-1.00u

Starting Pitcher Matchup

Martín Pérez L
ATL
SI31%90 mph11% whiff
CH29%82 mph30% whiff
FC28%86 mph16% whiff
Brandon Pfaadt R
ARI
SI24%93 mph8% whiff
FF23%94 mph18% whiff
ST18%85 mph31% whiff

Weather Impact

Chase Field
94°F10 mph windRoof: retractable
HR: 1.116 Total: 1.062
thin air, 10mph out

Bullpen Comparison

ATL
5.19ERA
4.59FIP
8.57K/9
3.07BB/9
1.27WHIP
ARI
4.91ERA
4.65FIP
8.46K/9
4.06BB/9
1.46WHIP

Betting Edges

TOTAL UNDER 9.0
-32.6% EV
-106
RUN_LINE HOME +1.5
-27.4% EV
-185
RUN_LINE AWAY -1.5
-13.5% EV
+152
F5 OVER 5.5
+12.5% EV
+110
F5_ML AWAY
-12.3% EV
-104
TOTAL OVER 9.0
+10.9% EV
-114

First 5 Innings & NRFI

ATL F5
2.9 runs
37.5% win
ARI F5
3.5 runs
50.5% win
F5 Total
6.4
NRFI
43.3%
YRFI
56.7%
Avg 1st Inn Runs
1.30

HR Spotlight

Avg HRs
4.7
Over 0.5 HR
99%
Over 1.5 HR
94%
No HR
1%
Ketel Marte ARI43.2%
ISO: 0.239 | Barrel: 3.8% | vs Martín Pérez | Park: 1.06x Platoon: 1.12x
Matt Olson ATL40.7%
ISO: 0.226 | Barrel: 14.3% | vs Brandon Pfaadt | Park: 1.06x Platoon: 1.12x
Jose Fernandez ARI39.5%
ISO: 0.200 | Barrel: 20.0% | vs Martín Pérez | Park: 1.06x Platoon: 1.12x

Pitcher Strikeout Projections

Martín Pérez
0.0 K projected
ATL | K/9: 0.0
Brandon Pfaadt
0.0 K projected
ARI | K/9: 0.0

Injury Report

ATL8 injured
AJ Smith-Shawver SP60-DAY-IL
Sean Murphy C10-DAY-IL
Spencer Strider SP15-DAY-IL
Ha-Seong Kim SS10-DAY-IL
Daysbel Hernandez RP15-DAY-IL
Danny Young RP15-DAY-IL
+2 more
ARI8 injured
Merrill Kelly SP15-DAY-IL
Jordan Lawlar SS10-DAY-IL
A.J. Puk RP60-DAY-IL
Lourdes Gurriel Jr. LF10-DAY-IL
Kyle Amendt RPDAY-TO-DAY
Pavin Smith 1B10-DAY-IL
+2 more

AI Intelligence Analysis

LEAN +1GREEN ZONE61.9% WR (n=118)
Over 9.0 edge 10.9% (59% model prob) driven by extreme heat (93.8F) and 10mph outfield wind at Chase Field. Park factor 1.06 (thin air, 1062 density). Both pitchers mediocre (Pfaadt 8.1 ERA, Pérez 0 ERA but B- stuff), creating run production environment. F5 over 12.5% (53.6% prob) provides confirmation. Hot weather adds 0.5-1.0 runs from baseline 11.35 total.

Key Factors

  • Heat impact: 93.8F is extreme (top 5 hottest games today), adds 0.7-1.0 runs from baseline
  • Outfield wind 10mph out is rare and huge — typical wind adjustment is 0.3-0.5 mph, 10mph is 2-3x normal
  • Pfaadt poor (8.1 ERA, 18.5% K, B- stuff, C command 0.742) — vulnerable early
  • Pérez limited data (0 ERA) but B- stuff (20.2% K, 8.9% BB) — likely stable but not elite
  • Model total 11.35 vs market 9.0 = 2.35 run edge to OVER (10.9% edge) entirely driven by weather/park

Risk Factors

  • ATL bullpen weaker (5.19 ERA) vs ARI (4.91 ERA) — potential relief advantage to ARI
  • Pérez 0 ERA is data artifact (likely early season SSS or recent injury return) — may not be as elite as appears
  • ARI home advantage underweighted if market respects this — game at Chase is Dbacks' territory
WEATHER IMPACT: Extreme heat 93.8F, 10mph outfield wind (huge boost), thin air (density 2610 ft) at Chase FieldPITCHER WEAKNESS: Both mediocre (Pfaadt 8.1 ERA, B- stuff; Pérez 0 ERA but B- stuff) — vulnerable to runsOVER VALUE: 10.9% edge on OVER 9.0 (59% model prob)F5 OVER VALUE: 12.5% edge on F5 OVER 5.5 (53.6% prob)PARK FACTOR: Chase 1.06 + outfield wind creates elite overs environment

Edge Analysis

Moneyline
ARI 56.1%
-27.4 pts
Run Line
+1.5
-27.4 pts
Total
9.0
+10.9 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. Full methodology →

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