SF vs ARI prediction for July 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects ARI 5.5 - SF 4.8. ARI is favored with a 57.6% win probability. The run line is 1.5 and the total is 9.5. Model projects 10.4 total runs.
ARI
5.5
Projected Score
VS
O/U 9.5
SF
4.8
Projected Score
Win Probability
ARISF
+1.5
Run Line (ARI)
9.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 58.0% (2,559 games)
Projected Runs Range 10th – 90th percentile
SF
357
ARI
467
Starting Pitcher Matchup
Trevor McDonald R
SF
SI58%94 mph11% whiff
SL27%86 mph38% whiff
CH14%83 mph31% whiff
Zac Gallen R
ARI
FF37%93 mph5% whiff
SL22%89 mph29% whiff
KC19%82 mph22% whiff
Weather Impact
Chase Field
99°F9 mph windRoof: retractable
HR: 1.024 Total: 1.009
thin air, 8mph in
Bullpen Comparison
SF
4.06ERA
4.43FIP
8.10K/9
4.84BB/9
1.41WHIP
ARI
3.28ERA
3.68FIP
8.28K/9
3.10BB/9
1.10WHIP
Betting Edges
RUN_LINE HOME +1.5
-27.3% EV
-192
RUN_LINE AWAY -1.5
-16.1% EV
+158
ML AWAY
-13.1% EV
-102
TOTAL UNDER 9.5
-9.1% EV
-112
F5_ML AWAY
-6.4% EV
-118
ML HOME
+4.4% EV
-116
First 5 Innings & NRFI
SF F5
2.8 runs
43.4% win
ARI F5
2.9 runs
42.8% win
F5 Total
5.7
NRFI
49.2%
YRFI
50.7%
Avg 1st Inn Runs
1.12
HR Spotlight
Avg HRs
2.9
Over 0.5 HR
93%
Over 1.5 HR
76%
No HR
7%
Pitcher Strikeout Projections
Trevor McDonald
0.0 K projected
SF | K/9: 0.0
Zac Gallen
0.0 K projected
ARI | K/9: 0.0
Injury Report
SF8 injured
Matt Chapman 3BDAY-TO-DAY
Willy Adames SSDAY-TO-DAY
Keaton Winn RP15-DAY-IL
Joel Peguero RP60-DAY-IL
Harrison Bader CF10-DAY-IL
Daniel Susac C10-DAY-IL
+2 more
ARI8 injured
Jordan Lawlar LF10-DAY-IL
Corbin Burnes SP60-DAY-IL
Michael Soroka SP15-DAY-IL
James McCann C10-DAY-IL
Ryne Nelson SP60-DAY-IL
A.J. Puk RP60-DAY-IL
+2 more
AI Intelligence Analysis
Edge Analysis
Moneyline
ARI 57.6%
-27.3 pts
Run Line
+1.5
-27.3 pts
Total
9.5
+0.2 pts
More Projections Today
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 →