Match prediction·World: World Cup·Tuesday 16 Jun, 01:00 UTC

Iran vs New Zealand

Bawler weighs each team's recent scoring and defending, then adjusts for home advantage and injuries to work out how this match is likely to go. This page shows the full chain — every number we used.

Why the model calls it this way

Over 2.5 Goals sits at 73% probability because Iran's 0.79 xG advantage and 1.76 expected goals output creates a high-volume attacking blueprint that New Zealand's 0.97 xG cannot match defensively.

📊 Win probability
52.6% home28.9% draw18.5% away
📈 xG chain — base → adjustments → final goal estimate
IranstepNew Zealand
1.63Base xG · rolling 26-match1.01
× 1.08Home advantage · Home× 0.96
no injury adjustment — full squads available per FotMob
1.76Final goal estimate — what the model uses0.97
🎯 Scoreline distribution · chance of each scoremodel estimate
0
1
2
3
4
5
6
0
7
6
3
1
1
11
11
5
2
2
10
10
5
2
3
6
6
3
1
4
3
3
1
5
1
1
6
home windrawaway win
Most likely outcomes
Over 2.5 goals
73%
New Zealand or draw
47%
Over 3.5 goals
24%

Model probabilities for this fixture, ordered by likelihood. Estimates from rolling expected goals — not guarantees.

Most likely to score or assist

To score
Mehdi Taremi
Iran · Olympiacos
44%
To score
Chris Wood
New Zealand · Nottingham Forest
40%

Probabilities from a per-player model on recent form and minutes played.

More predictions for these teams

Iran vs New Zealand — Head-to-Head

This is the first meeting Bawler has on record between Iran and New Zealand — the model's ledger starts at model launch, so no earlier fixtures between these two sides have been logged and settled yet.

The model's verdict for this fixture: Iran 53% · draw 29% · New Zealand 18%.

Model probabilities are edge estimates for entertainment — not betting advice, and past performance does not guarantee future results. 18+.

⚡ Full-time recap available
Iran 22 New Zealand
See how the model called it · call-by-call verdict · xG vs actual →
More match predictions ▶

Model estimates from rolling expected goals — not guaranteed outcomes. Past accuracy does not guarantee future results.