MLB Baseball

ARI vs CHC Prediction

May 2, 2026

10,000 Monte Carlo simulations

FINAL: CHC 2 — ARI 0. Our Monte Carlo simulation projected CHC 4.2 - ARI 4.8 (ARI at 54.2% win probability). The run line is -1.5 and the total is 7.5. Model projects 9.0 total runs.

CHC
4.2
Projected Score
VS O/U 7.5
ARI
4.8
Projected Score
Win Probability
45.8%
54.2%
CHCARI
-1.5
Run Line (CHC)
7.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 53.8% (2,610 games)

Projected Runs Range 10th – 90th percentile

ARI
357
CHC
246
FINALCHC 2 — ARI 0
Projected
CHC 4.2 — ARI 4.8
Actual
CHC 2 — ARI 0

Pick Results

OVER 7.5totalLOSS-1.00u

Starting Pitcher Matchup

Ryne Nelson R
ARI
FF62%96 mph19% whiff
SL19%88 mph38% whiff
CU11%80 mph19% whiff
Shota Imanaga L
CHC
FF42%92 mph14% whiff
FS32%83 mph41% whiff
ST17%82 mph41% whiff

Weather Impact

Wrigley Field
48°F9 mph wind
HR: 1.044 Total: 1.027
9mph out

Bullpen Comparison

ARI
4.49ERA
4.16FIP
8.33K/9
2.98BB/9
1.15WHIP
CHC
3.52ERA
4.49FIP
8.52K/9
3.77BB/9
1.25WHIP

Betting Edges

RUN_LINE AWAY +1.5
-28.3% EV
-167
RUN_LINE HOME -1.5
-21.7% EV
+138
F5_ML HOME
-20.9% EV
-167
ML HOME
-20.2% EV
-161
ML AWAY
+19.8% EV
+136
TOTAL UNDER 7.5
-18.7% EV
-122

First 5 Innings & NRFI

ARI F5
2.8 runs
46.2% win
CHC F5
2.5 runs
39.3% win
F5 Total
5.2
NRFI
55.6%
YRFI
44.4%
Avg 1st Inn Runs
0.93

HR Spotlight

Avg HRs
2.2
Over 0.5 HR
89%
Over 1.5 HR
65%
No HR
11%
Ildemaro Vargas ARI30.0%
ISO: 0.451 | Barrel: 17.1% | vs Shota Imanaga | Park: 1.03x Platoon: 1.12x
Moisés Ballesteros CHC30.0%
ISO: 0.156 | Barrel: 15.6% | vs Ryne Nelson | Park: 1.03x Platoon: 1.12x
Ian Happ CHC30.0%
ISO: 0.208 | Barrel: 13.0% | vs Ryne Nelson | Park: 1.03x Platoon: 1.12x

Pitcher Strikeout Projections

Ryne Nelson
0.0 K projected
ARI | K/9: 0.0
Shota Imanaga
0.0 K projected
CHC | K/9: 0.0

Injury Report

ARI8 injured
Tyler Locklear 1B10-DAY-IL
Corbin Burnes SP60-DAY-IL
A.J. Puk RP60-DAY-IL
Pavin Smith 1B60-DAY-IL
A.J. Vukovich CFOUT
Jordan Lawlar LF60-DAY-IL
+2 more
CHC8 injured
Daniel Palencia RP15-DAY-IL
Nico Hoerner 2BDAY-TO-DAY
Justin Steele SP60-DAY-IL
Riley Martin RP15-DAY-IL
Caleb Thielbar RP15-DAY-IL
Porter Hodge RP60-DAY-IL
+2 more

AI Intelligence Analysis

NEUTRAL -1RED ZONE44.0% WR (n=136)
Model projects 54.2% away win (50.8% prob) but flags DATA_INTEGRITY: Ryne Nelson has horrific 8.33 ERA vs Imanaga elite 3.11 ERA (5.22 point delta). Market prices CHC -161 (61.7% implied) — correctly respects mismatch. 19.8% away ML edge is RED ZONE (away ML = 44% WR historically). Model-market gap suggests sharp money on CHC; model may be failing to price Cubs lineup quality fully.

Key Factors

  • Nelson 8.33 ERA vs Imanaga 3.11 ERA — 5.22 point delta is elite-vs-replacement tier pitcher mismatch. Model favoring ARI despite worse arm is RED FLAG.
  • Away ML zone historically 44% WR (RED), -1.54 z-score — systemic model failure in this profile
  • Weather: 48.1F cold, 9.4mph wind blowing OUT (+1.027 multiplier) — should aid hitters but Nelson struggles vs righties regardless
  • CHC offense (.275/.341 vs RHP avg) likely stacks right-handed hitters vs Nelson; historical blindspot for model

Risk Factors

  • Away ML edge of 19.8% is >15% ceiling per calibration — model likely overconfident
  • RED zone performance (44% WR) suggests sharp action correctly betting CHC; model disagrees with market on fundamental pitcher quality read
  • Cold temps may compress model's OVER edge (10.7%), but doesn't change ML directional risk
Sharp MoneyAgainst ModelMarket at CHC -161 (61.7% implied) vs model 50.8% ARI suggests sharp money strongly on Cubs; Nelson's ERA likely explains market overweight.
PITCHER MISMATCHRED ZONEHIGH EDGE WARNINGWEATHER IMPACTDATA INTEGRITY

Edge Analysis

Moneyline
ARI 54.2%
-21.7 pts
Run Line
-1.5
-21.7 pts
Total
7.5
+10.7 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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