Iran vs Belgium prediction for June 21, 2026: Our Monte Carlo simulation ran 5,000 game iterations and projects Belgium 1.95 - Iran 0.9. Belgium is favored with a 61.7% win probability. Expected total goals: 2.9..
Belgium
1.95
Projected Goals
VS
2.9 total
Iran
0.9
Projected Goals
Match Outcome Probabilities
BelgiumDrawIran
Calibrated accuracy at this confidence: 70.2% (1,098 games)
Projected Goals Range 10th – 90th percentile
Iran
0.10.91.7
Belgium
1.21.92.7
Projected
Belgium 1.95 — Iran 0.9
Actual
Belgium 0 — Iran 0
Expected Goals (xG)
Belgium1.95
Iran0.90
20.0Shots17.5
7.3On Target6.3
6.3Corners5.9
Goal Probabilities
Over 0.5
97.5%
Over 1.5
85.3%
Over 2.5
47.9%
Over 3.5
47.6%
Under 2.5
52.1%
BTTS
63.8%
Most Likely Scores
2-0
11.1%
1-1
11.1%
1-0
10.6%
2-1
10.1%
3-0
7.2%
Match Context
WCHigh
Belgium
1.43
Draw
4.95
Iran
8.25
AI Intelligence Analysis
NEUTRAL -1RED ZONE42.5% WR (n=50)
Home ML at -42 (69.93% implied) overprices Belgium (model 61.69%) by 8.24 points, ignoring elevated draw probability (22.23% model vs 20.20% market) — RED zone home ML blocks bet despite moderate xG edge.
Key Factors
- xG gap: Belgium 1.95 vs Iran 0.9 (1.05 xG advantage — significant but not elite)
- Home ML zone: RED at 42.5% WR (n=50) — cannot recommend
- Probability gap: Model 61.69% vs Market 69.93% = -8.24% (market overconfident)
- Draw probability: Model 22.23% (vs market 20.20%) — substantial draw risk kills home-only bets
- Team tier mismatch: Belgium top-tier European (attack 1.95, form W-W-L-W-D) vs Iran mid-tier (attack 0.9, defensive setup expected)
Risk Factors
- Draw probability: 22.23% is nearly 1-in-4 — draws kill home ML. Market ignores this by showing only 20.20% draw prob
- Iran tactical setup: Historically defends deep in World Cup play; -42 odds don't compensate for 22%+ draw risk
- RED zone home ML: Historical 42.5% WR blocks recommendation regardless of perceived value
Edge Analysis
Moneyline
Belgium 61.7%
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Total
2.9
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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 →