Iraq vs Norway Prediction, Tips & Odds
Iraq vs Norway


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About the Teams
Iraq
Norway
Head to Head
Last 1 Meetings (Norway leads 1-0)

Iraq and Norway have met once in competitive fixtures, with Norway winning that encounter 4-1 on June 16, 2026. Given that this is the only competitive match between the two nations, it is difficult to draw any definitive conclusions about their head-to-head record. As such, this single result does not indicate a clear trend or pattern in their matchups.
Group I Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 3 | 0 | 0 | 10 | 2 | 8 | 9 | WWWWW | |
| 2 | 3 | 2 | 0 | 1 | 8 | 7 | 1 | 6 | LWWLW | |
| 3 | 3 | 1 | 0 | 2 | 8 | 6 | 2 | 3 | LWLL | |
| 4 | 3 | 0 | 0 | 3 | 1 | 12 | -11 | 0 | LLL |
Key Statistics
2026 Season
Iraq have won 4 of their last 5 matches at home, drawing 0 and losing 1. Their recent home fixtures include lost to Venezuela 0-2 and beat Andorra 1-0.
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.













Norway have won 3 of their last 5 matches on the road, drawing 1 and losing 1. Their recent away fixtures include beat Norway 1-2 and drew with Morocco 1-1.
Overall, the wider run reads 8W 3D 2L from the last 13 games (62% 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 players
Iraq
No reported absences
Norway
No reported absences
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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.
