Brazil v Morocco · Oxford Football Forecasting

🇧🇷 Brazil CONMEBOL Elo 1,991 · world 5th

47 / 31 / 22 win · draw · win most likely 1–0

🇲🇦 Morocco CAF Elo 1,827 · world 12th

Group: C
Date: Saturday 13 June 2026
Kick-off: 22:00 UTC
Venue: New York/New Jersey Stadium, East Rutherford

§ 01

The scoreline grid

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

Fig. V7 Ensemble · Group C

Brazil v Morocco — scoreline probabilities

Cells show P(exact scoreline); the right column and bottom row are the marginal totals P(Brazil scores k) and P(Morocco scores k). Grid runs 0–7 goals per side; the 8–10-goal tail holds 0.00% of the mass and is omitted from the cells (not from the totals).

The grid makes Brazil favourites at 47.0%, with a 31.3% draw. The single most-likely scoreline is 1–0 (15.4%), but no exact score clears 15% — 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

47% 31.3% 21.7%

🇧🇷 Brazil 47% Draw 31.3% 🇲🇦 Morocco 21.7%

Rounded values sum to exactly 100%.

Expected goals (λ)

🇧🇷Brazil 1.27

🇲🇦Morocco 0.77

Poisson means feeding the grid; combined expected goals 2.04.

33.4% Over 2.5 goals P(3 or more goals in the match)

66.6% Under 2.5 goals complement of over-2.5

39.7% Both teams to score P(each side scores ≥ 1)

1–0 Most-likely scoreline modal exact score · 15.4%

§ 03

Venue context

The conditions at New York/New Jersey Stadium, East Rutherford — the same environment layer the dossiers' climate exposure draws on.

MetLife East Rutherford, USA

Heat index 31°C apparent temperature (June–July)

Max temperature 28°C June–July daily high

Humidity 70% relative humidity

Altitude 9m 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.

1,991 Elo rating 1,827

1.80 Recent NT form 2.47

€1660M Squad value €509M

0.335 Squad form (global) 0.218

0.745 Fitness readiness 0.624

+0.39 Decoupling g −0.58

Brazil carry the Elo edge (164 points). On the decoupling axis, Brazil 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 →