Switzerland vs Qatar prediction for June 13, 2026: Our Monte Carlo simulation ran 5,000 game iterations and projects Qatar 0.84 - Switzerland 2.17. Switzerland is favored with a 71.1% win probability. Expected total goals: 3.0..
Qatar
0.84
Projected Goals
VS
3.0 total
Switzerland
2.17
Projected Goals
Match Outcome Probabilities
QatarDrawSwitzerland
Calibrated accuracy at this confidence: 87.0% (1,044 games)
Projected Goals Range 10th – 90th percentile
Switzerland
1.42.22.9
Qatar
0.10.81.6
Projected
Qatar 0.84 — Switzerland 2.17
Actual
Qatar 1 — Switzerland 1
Expected Goals (xG)
Qatar0.84
Switzerland2.17
18.3Shots17.5
6.5On Target6.3
6.1Corners5.9
Goal Probabilities
Over 0.5
96.6%
Over 1.5
83.3%
Over 2.5
55.3%
Over 3.5
42.5%
Under 2.5
44.7%
BTTS
62.0%
Most Likely Scores
0-2
11.9%
0-1
10.3%
1-2
10.0%
1-1
9.9%
0-3
8.6%
Match Context
WCHigh
Qatar
15.00
Draw
7.50
Switzerland
1.22
AI Intelligence Analysis
NEUTRALRED ZONE36.3% WR (n=53)
Market has correctly priced Switzerland's elite quality advantage (1.33 xG differential). Away ML in RED zone (36.3% WR) at heavy favorite odds (-375, 79% implied) leaves no positive expected value despite model's directional agreement.
Key Factors
- xG dominance: Switzerland 2.17 vs Qatar 0.84 = 1.33 xG/90 differential (elite quality mismatch, >0.8 threshold)
- Away ML zone: SOCCER|ml|away|any|any|any is RED with 36.3% WR (n=53) — worst performing ML variant
- Market correctly priced: -375 (79% implied) absorbs the xG advantage; model's 71.06% vs market's 79% favors the market
- Edge against us: Model 71.06% vs market 79% = -7.94% probability gap
- Probability cap: Model's 71% is near our 68% probability ceiling; market's 79% is beyond model's confidence range
Risk Factors
- Away ML at heavy favorite odds: Historical data suggests away ML loses value when market pricing >75%; this is 79%
- Tier mismatch may create complacency: Switzerland favored, but tournament play can produce surprises (WC draws 20%+)
- Market consensus on elite vs weak: Heavy public money likely on Switzerland, reducing edge via line movement
AWAY ML VALUERED ZONEXG MISMATCHTIER MISMATCHMODEL MARKET CONFLICTHIGH EDGE WARNING
Edge Analysis
Moneyline
Switzerland 71.1%
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Total
3.0
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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 →