Jordan vs Austria prediction for June 17, 2026: Our Monte Carlo simulation ran 5,000 game iterations and projects Austria 2.06 - Jordan 0.86. Austria is favored with a 64.7% win probability. Expected total goals: 2.9..
Austria
2.06
Projected Goals
VS
2.9 total
Jordan
0.86
Projected Goals
Match Outcome Probabilities
AustriaDrawJordan
Calibrated accuracy at this confidence: 71.6% (1,064 games)
Projected Goals Range 10th – 90th percentile
Jordan
0.10.91.6
Austria
1.32.12.8
Projected
Austria 2.06 — Jordan 0.86
Actual
Austria 3 — Jordan 1
Expected Goals (xG)
Austria2.06
Jordan0.86
22.9Shots16.8
8.4On Target6.0
6.7Corners5.9
Goal Probabilities
Over 0.5
97.7%
Over 1.5
87.0%
Over 2.5
48.0%
Over 3.5
47.7%
Under 2.5
52.0%
BTTS
64.3%
Most Likely Scores
2-0
11.7%
1-0
10.6%
1-1
10.5%
2-1
10.0%
3-0
8.0%
Match Context
WCMedium
Austria
1.37
Draw
5.35
Jordan
9.45
AI Intelligence Analysis
NEUTRAL -1RED ZONE42.4% WR (n=51)
Austria is expected to dominate (2.06 xG vs 0.86) and the 64.7% home win probability is genuine, but RED zone ML auto-block, 21.2% draw risk, and market overpricing (73% implied) create a volatility trap. Totals are more balanced but lack sufficient edge.
Key Factors
- Austria xG 2.06 vs Jordan 0.86 — 1.20 xG advantage is substantial elite vs weak matchup
- Home ML market: 73% implied but model 64.7% — 8.3% AGAINST us on this favorite
- Draw probability 21.2%: Strong risk of 1-1 result killing bet despite superior team
- Over probability 48.0%: Totals at 2.5 are asking for almost 3 goals — not high probability even with xG gap
Risk Factors
- Low probability over 2.5: Despite 1.2 xG advantage, only 48% chance of 3+ goals
- World Cup draw tendency: 40% of recent games were draws; Austria-Jordan in group stage likely cautious
- Market consensus: 73% ML line suggests sharp money already in the Austrian favorite
HOME ML TRAPRED ZONEDRAW RISKDIRECTION CONFIRMED
Edge Analysis
Moneyline
Austria 64.7%
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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 →