Atlanta United FC vs New England Revolution prediction for July 25, 2026: Our Monte Carlo simulation ran 5,000 game iterations and projects New England Revolution 1.67 - Atlanta United FC 1.33. New England Revolution is favored with a 44.8% win probability. Expected total goals: 3.0..
New England Revolution
1.67
Projected Goals
VS
3.0 total
Atlanta United FC
1.33
Projected Goals
Match Outcome Probabilities
New England RevolutionDrawAtlanta United FC
Calibrated accuracy at this confidence: 62.4% (1,163 games)
Projected Goals Range 10th – 90th percentile
Atlanta United FC
0.61.32.1
New England Revolution
0.91.72.4
Projected
New England Revolution 1.67 — Atlanta United FC 1.33
Actual
New England Revolution 4 — Atlanta United FC 1
Expected Goals (xG)
New England Revolution1.67
Atlanta United FC1.33
19.0Shots16.6
6.9On Target6.0
6.0Corners5.7
Goal Probabilities
Over 0.5
96.6%
Over 1.5
78.1%
Over 2.5
55.7%
Over 3.5
42.9%
Under 2.5
44.3%
BTTS
60.7%
Most Likely Scores
1-1
12.1%
2-1
9.3%
1-0
7.5%
1-2
7.4%
2-0
7.0%
Match Context
MLSMedium
New England Revolution
2.15
Draw
3.59
Atlanta United FC
3.44
AI Intelligence Analysis
NEUTRAL -1
Market ahead on home ML: 44.79% model vs 46.51% market = -1.72% edge, and elevated draw risk (25.16%) makes 3-way ML poor bet structure.
Key Factors
- xG modest: NER 1.67 vs Atlanta 1.33 = 0.34 xG advantage (reasonable quality gap)
- Negative edge on home ML: Model 44.79% vs market 46.51% = -1.72% (market clearly ahead)
- Elevated draw risk: 25.16% draw probability is highest in slate so far — kills ML value
- Home ML historically weak: historically mixed a supportive track record insufficient
- Totals undervalued: Model 3.0 vs market 2.75 = model gives +0.25 edge on OVER (but totals still D grade)
Risk Factors
- Draw probability 25.16% means 1-in-4 outcomes loss on 3-way ML — substantial
- Home ML historically weak overall (a supportive track record) — disabled category
- Market -122 requires 55% true win prob to break even; model only 44.79%
Edge Analysis
How this prediction was generated: This page shows output from the Olympus Bets Soccer Monte Carlo engine. Each game is simulated 5,000 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 →