IR Iran v New Zealand · Oxford Football Forecasting

🇮🇷 IR Iran AFC Elo 1,772

58 / 27 / 15 win · draw · win most likely 1–0

🇳🇿 New Zealand OFC Elo 1,562 · world 62nd

Group: G
Date: Tuesday 16 June 2026
Kick-off: 01:00 UTC
Venue: Los Angeles Stadium, Inglewood

§ 01

The scoreline grid

The ensemble's full distribution over exact scorelines — IR Iran goals down the side, New Zealand goals across the top. This is the same 11×11 grid the tournament simulator samples.

Fig. V7 Ensemble · Group G

IR Iran v New Zealand — scoreline probabilities

Cells show P(exact scoreline); the right column and bottom row are the marginal totals P(IR Iran scores k) and P(New Zealand scores k). Grid runs 0–7 goals per side; the 8–10-goal tail holds 0.02% of the mass and is omitted from the cells (not from the totals).

The grid makes IR Iran favourites at 58.1%, with a 27.2% draw. The single most-likely scoreline is 1–0 (16.1%), but no exact score clears 16% — the distribution is broad, as it should be.

Source · Oxford Football Forecasting model

§ 02

Result, goals & totals

The grid marginalised into the outcome split, expected goals each side, and the goal-total markets — every figure read straight off the same distribution.

Win · draw · loss

58.1% 27.2% 14.7%

🇮🇷 IR Iran 58.1% Draw 27.2% 🇳🇿 New Zealand 14.7%

Rounded values sum to exactly 100%.

Expected goals (λ)

🇮🇷IR Iran 1.56

🇳🇿New Zealand 0.66

Poisson means feeding the grid; combined expected goals 2.21.

38.1% Over 2.5 goals P(3 or more goals in the match)

61.9% Under 2.5 goals complement of over-2.5

38.9% Both teams to score P(each side scores ≥ 1)

1–0 Most-likely scoreline modal exact score · 16.1%

§ 03

Venue context

The conditions at Los Angeles Stadium, Inglewood — the same environment layer the dossiers' climate exposure draws on.

SoFi Inglewood, USA

Heat index 29°C apparent temperature (June–July)

Max temperature 27°C June–July daily high

Humidity 71% relative humidity

Altitude 45m above sea level

Source · Open-Meteo & venue records. Travel and time-zone exposure are per-team — see each side's dossier.

§ 04

Why the model leans this way

The inputs behind the grid — each side's strength signals laid side by side. The forecast is the ensemble's, not a hand-weighting of these; this panel is the descriptive read.

1,772 Elo rating 1,562

2.00 Recent NT form 1.07

€63M Squad value €28M

0.212 Squad form (global) 0.127

0.366 Fitness readiness 0.690

+0.01 Decoupling g +0.01

IR Iran carry the Elo edge (210 points). On the decoupling axis, New Zealand is the side whose squad is valued higher relative to its record.

How a single-match forecast is built

The pairing is scored by the ensemble — Dixon-Coles bivariate-Poisson, the Bayesian hierarchical model and the global LightGBM-Poisson, log-pooled — yielding the 11×11 scoreline grid above. Win/draw/loss, expected goals (λ), over-2.5 and both-teams-to-score are all marginals of that one grid, so they are mutually consistent by construction. The strength inputs shown here feed the models; the forecast is their pooled output, not a manual weighting of these rows. The model matches the market out-of-sample (RPS 0.1891 vs 0.1905); it does not significantly beat it at n = 3. The ensemble, in full →