Iran vs New Zealand Prediction, Tips & Odds
Iran vs New Zealand
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About the Teams
Iran
New Zealand
Head to Head
Last 1 Meetings (evenly matched 0-0)In their only competitive meeting, Iran and New Zealand played to a 2-2 draw in June 2026. With just one match in the sample, it is too small to identify any patterns or trends between these two teams. The match occurred very recently, but without additional encounters, it is difficult to draw significant conclusions about their head-to-head dynamics.
Group G Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Belgium | 3 | 1 | 2 | 0 | 6 | 2 | 4 | 5 | LWWWD |
| 2 |  Egypt | 3 | 1 | 2 | 0 | 5 | 3 | 2 | 5 | LWDWD |
| 3 | Iran | 3 | 0 | 3 | 0 | 3 | 3 | 0 | 3 | DDD |
| 4 | New Zealand | 3 | 0 | 1 | 2 | 4 | 10 | -6 | 1 | LLD |
Key Statistics
2026 SeasonIran have won 3 of their last 6 matches at home, drawing 1 and losing 2. Their recent home fixtures include beat Mali 2-0 and beat Gambia 3-1.
Overall, the wider run reads 4W 2D 3L from the last 9 games (44% win rate). The form line is positive, with more wins than defeats across the sample.
New Zealand have won 0 of their last 7 matches on the road, drawing 1 and losing 6. Their recent away fixtures include lost to New Zealand 1-0 and lost to Haiti 4-0.
Overall, the wider run reads 1W 1D 9L from the last 11 games (9% win rate). The form line has been negative, with defeats outweighing wins 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 playersIran
No reported absences
New Zealand
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.
