Austria vs Jordan Prediction, Tips & Odds
Austria vs Jordan
Match Preview
About the Teams
Austria
Jordan
Head to Head
Last 1 Meetings (Austria leads 1-0)Austria and Jordan have faced each other once, with Austria winning that match 3-1 during the World Cup in June 2026. Given that this is the only competitive meeting between the two nations, the sample size is too small to identify any patterns or trends. As such, while Austria has secured a victory, it is difficult to draw any broader conclusions about the rivalry based on this single encounter.
Group J Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Argentina | 3 | 3 | 0 | 0 | 8 | 1 | 7 | 9 | WWWWW |
| 2 | Austria | 3 | 1 | 1 | 1 | 6 | 6 | 0 | 4 | LDLW |
| 3 |  Algeria | 3 | 1 | 1 | 1 | 5 | 7 | -2 | 4 | LDWL |
| 4 | Jordan | 3 | 0 | 0 | 3 | 3 | 8 | -5 | 0 | LLL |
Key Statistics
2026 SeasonAustria have won 5 of their last 6 matches at home, drawing 1 and losing 0. Their recent home fixtures include beat Austria 1-0 and beat Austria 1-0.
Overall, the wider run reads 8W 2D 1L from the last 11 games (73% win rate). The form line is positive, with more wins than defeats across the sample.
Jordan have won 3 of their last 5 matches on the road, drawing 0 and losing 2. Their recent away fixtures include lost to Jordan 2-0 and lost to Switzerland 4-1.
Overall, the wider run reads 5W 3D 3L from the last 11 games (45% win rate). The form line is positive, with more wins than defeats across the sample.
Lineups
Lineups not yet announced
National-team lineups are genuinely unknown until 1 to 2 hours before kick-off, when the starting XI is confirmed. Until then, only predicted lineups are possible.
Unavailable Players
0 playersAustria
No reported absences
Jordan
No reported absences
What's Your Prediction?
Pick the result you expect
Do you agree with this prediction?
The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.
