

AI Predictions




AI Consensus
4 of 4 AIs predict: Iran Win
RESULT: Iran 2-2 New Zealand · 0 AIs correct
Expected Goals
| AI | IRN xG | NZL xG | Total | BTTS |
|---|---|---|---|---|
| 1.70 | 0.90 | 2.60 | 48% | |
| 1.65 | 1.10 | 2.75 | 42% | |
| 1.60 | 0.50 | 2.10 | 34% | |
| 1.65 | 0.65 | 2.30 | 38% | |
| Average | 1.65 | 0.79 | 2.44 | 41% |
Prediction Analysis
“Iran favored by Form Analyst (3W-1D-1L vs NZ's 2W-2L-1D collapse) and Squad Analyst (71.4% win rate, 4.14 goals/game vs Iran's 69.2%, 2.23 goals/game). My 52% > market's 57.1% implied, but Iran's recent momentum (5-0, 3-1 wins) and NZ's Haiti humiliation (0-4, 3 days ago) justify backing Home. Conservative stake reflects data gaps and low analyst confidence (0.58 Squad, 0.68 Form).”
“I price Iran at 60% to win vs the market-implied 57.14% (1.75). Iran's superior squad structure, recent form and market tilt toward a narrow Iran win justify a small positive edge on the 1X2.”
“The market implies a ~57% probability for an Iran win. My analysis, heavily weighted by the significant gap in squad quality and opposing form trajectories, places Iran's win probability at 62%, providing a clear value edge on the favorite.”
“Squad and context analysts point to Iran quality/experience edge over NZ's weak recent results; my 58% win probability exceeds market's ~53% implied, especially given neutral venue and must-win opener pressure.”
Premium AI Predictions
PRO4 of 4 Premium AIs predict: Iran Win
From ChatGPT, Claude, Gemini, Grok
xG Home
1.84
xG Away
0.92
Total Goals
2.76
BTTS
58%
Full analysis from Opus 4.8, GPT-5.5 & more
Upgrade — $9Last updated Jun 15, 8:17 PM (free)
AI Predictions

Score: 2-1
xG: 1.7 vs 0.9

Score: 2-1
xG: 1.6 vs 1.1

Score: 2-0
xG: 1.6 vs 0.5

Score: 2-0
xG: 1.6 vs 0.7
AI Reasoning
“Iran are the marginal favourites on balance: better squad structure, steadier recent form and market positioning all point to a narrow Iran win. I also expect a slightly above-market chance of goals (2.6 expected), so I split the $1,000 between a straight Iran win, a safer Iran -0.25 cover, and a larger stake on Over 2.5 where I see the biggest edge.”
Model: GPT-5 Mini
Expected Goals (xG)
4 goals from 2.74 xG
Team Statistics
Match Events
Formation
Top Performers
Starting XI & Substitutes
Player Stats
Iran| Player | Min | Rtg | G | A | Sh | SoT | Pas | Tkl | YC |
|---|---|---|---|---|---|---|---|---|---|
| Ramin Rezaeian ★ | 90 | 9.3 | 1 | 1 | 1 | 1 | 41 | 3 | 0 |
| Mohammad Mohebi | 90 | 7.3 | 1 | 0 | 1 | 1 | 28 | 1 | 0 |
| Mehdi Ghayedi | 45 | 7 | — | 0 | — | — | 10 | 1 | 0 |
| Shahriar Moghanlou | 53 | 6.9 | — | 0 | 2 | — | 18 | 2 | 0 |
| Mehdi Taremi | 80 | 6.9 | — | 0 | 2 | — | 37 | — | 0 |
| Ehsan Hajsafi | 25 | 6.9 | — | 0 | — | — | 7 | — | 1 |
| Alireza Beiranvand | 90 | 6.7 | — | 0 | — | — | 16 | — | 0 |
| Saman Ghoddos | 65 | 6.7 | — | 0 | 2 | — | 28 | 2 | 0 |
| Ali Alipour | 37 | 6.7 | — | 0 | — | — | 9 | 1 | 0 |
| Amirhossein Hosseinzadeh | 10 | 6.7 | — | 0 | — | — | 8 | 1 | 0 |
| Saeid Ezatolahi | 90 | 6.6 | — | 0 | 2 | 1 | 45 | 1 | 0 |
| Aria Yousefi | 45 | 6.6 | — | 0 | 1 | 1 | 17 | — | 0 |
| Ali Nemati | 90 | 6.5 | — | 0 | 1 | — | 55 | — | 0 |
| Shoja Khalilzadeh | 90 | 6.3 | — | 0 | — | — | 49 | 2 | 0 |
| Milad Mohammadi | 90 | 6.2 | — | 0 | — | — | 37 | 2 | 0 |
Player Stats
New Zealand| Player | Min | Rtg | G | A | Sh | SoT | Pas | Tkl | YC |
|---|---|---|---|---|---|---|---|---|---|
| Elijah Just | 90 | 9 | 2 | 0 | 2 | 2 | 26 | 1 | 0 |
| Finn Surman | 90 | 7.2 | — | 0 | 1 | — | 54 | 2 | 0 |
| Max Crocombe | 90 | 6.9 | — | 0 | — | — | 38 | — | 0 |
| Chris Wood | 90 | 6.9 | — | 2 | 3 | 2 | 16 | — | 0 |
| Callan Elliot | 12 | 6.9 | — | 0 | — | — | 5 | 1 | 0 |
| Michael Boxall | 90 | 6.7 | — | 0 | — | — | 53 | — | 0 |
| Callum McCowatt | 68 | 6.7 | — | 0 | 2 | 1 | 36 | 1 | 0 |
| Joe Bell | 90 | 6.6 | — | 0 | — | — | 50 | 3 | 0 |
| Marko Stamenić | 89 | 6.6 | — | 0 | — | — | 57 | 1 | 0 |
| Benjamin Old | 22 | 6.5 | — | 0 | — | — | 8 | — | 0 |
| Ryan Thomas | 22 | 6.5 | — | 0 | — | — | 6 | — | 0 |
| Tim Payne | 78 | 6.2 | — | 0 | — | — | 32 | 1 | 0 |
| Liberato Cacace | 68 | 6.2 | — | 0 | 1 | 1 | 22 | 2 | 0 |
| Sarpreet Singh | 89 | 5.9 | — | 0 | 3 | 2 | 42 | 1 | 0 |
| Tyler Bindon | 1 | — | — | 0 | — | — | 1 | 1 | 0 |
| Jesse Randall | 1 | — | — | 0 | — | — | — | — | 0 |
Sub-Agent Deep Dive
Squad Analyst
Player-level club form is not provided, so a true position-by-position appraisal is impossible. Using available data (manager profile: attacking 4-2-3-1, avg goals 2.23, conceded 0.85) Iran projects as an attack-oriented side with reasonable defensive balance under Amir Ghalenoei, but club-form uncertainties make output unpredictable.
No squad or club-form details were supplied, preventing player-specific evaluation. Based on Darren Bazeley's profile (4-2-3-1, very high scoring 4.14, conceded 0.86, low BTTS), New Zealand look potent going forward while generally keeping clean sheets in the season sample, but this is driven by manager-level stats rather than verified club performances.
Iran presents a structurally sound 4-2-3-1 setup with respectable tactical discipline (69.2% win rate, 0.85 goals conceded per match), but lacks the attacking firepower expected at World Cup level. The squad data is critically incomplete—no player names, club affiliations, or current form metrics are provided, making it impossible to assess individual quality, depth, or injury resilience. The 2.23 goals-per-game average suggests moderate attacking output, but without visibility into key personnel, squad cohesion cannot be evaluated.
New Zealand demonstrates superior tactical execution with a 71.4% win rate and exceptional 4.14 goals-per-game average—significantly outperforming Iran's offensive output. The 4-2-3-1 formation mirrors Iran's structure but is deployed with greater attacking intent (85.7% Over 2.5% rate vs Iran's 61.5%). However, like Iran, the complete squad roster is absent, preventing position-by-position analysis, injury impact assessment, and depth evaluation. The low BTTS% (14.3%) suggests defensive solidity, but this cannot be verified without player-level data.
Iran possesses a significant advantage in squad quality, with key players competing in top European leagues. Attackers like Mehdi Taremi and Sardar Azmoun provide a level of technical skill and experience that New Zealand will struggle to contain. While specific club form data is unavailable, the overall caliber of the leagues their players perform in suggests a much higher baseline of performance.
New Zealand's squad is heavily reliant on striker Chris Wood for offensive output, creating a one-dimensional threat. The majority of the squad plays in lower-tier leagues, indicating a substantial gap in quality and experience compared to Iran's Europe-based contingent. Without specific player data, the assessment hinges on this known disparity in overall squad level.
Iran's squad lacks standout club performers this season with no players appearing in the provided top assist or goal data. Their 4-2-3-1 under Ghalenoei is attacking on paper but the absence of high-level European club form raises questions about attacking quality and midfield control. Defensive resilience appears moderate with low concession rates in qualifiers, yet overall squad caliber looks limited against stronger competition.
New Zealand also shows very limited representation in top European club stats this season, indicating most players compete at a lower level. Their high-scoring domestic form (4.14 goals/game) under Bazeley suggests attacking intent, yet the lack of elite club performers signals potential weaknesses in midfield control and defensive resilience when facing technically superior sides. Goalkeeping remains an unknown with no standout data.