Germany v Côte d'Ivoire · Oxford Football Forecasting

🇩🇪 Germany UEFA Elo 1,932 · world 10th

56 / 26 / 18 win · draw · win most likely 1–0

🇨🇮 Côte d'Ivoire CAF Elo 1,695

Group: E
Date: Saturday 20 June 2026
Kick-off: 20:00 UTC
Venue: Toronto Stadium, Toronto

§ 01

The scoreline grid

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

Fig. V7 Ensemble · Group E

Germany v Côte d'Ivoire — scoreline probabilities

Cells show P(exact scoreline); the right column and bottom row are the marginal totals P(Germany scores k) and P(Côte d'Ivoire scores k). Grid runs 0–7 goals per side; the 8–10-goal tail holds 0.03% of the mass and is omitted from the cells (not from the totals).

The grid makes Germany favourites at 56.1%, with a 26.2% draw. The single most-likely scoreline is 1–0 (13.0%), but no exact score clears 13% — 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

56.1% 26.2% 17.7%

🇩🇪 Germany 56.1% Draw 26.2% 🇨🇮 Côte d'Ivoire 17.7%

Rounded values sum to exactly 100%.

Expected goals (λ)

🇩🇪Germany 1.65

🇨🇮Côte d'Ivoire 0.82

Poisson means feeding the grid; combined expected goals 2.47.

44.9% Over 2.5 goals P(3 or more goals in the match)

55.1% Under 2.5 goals complement of over-2.5

46.2% Both teams to score P(each side scores ≥ 1)

1–0 Most-likely scoreline modal exact score · 13.0%

§ 03

Venue context

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

BMO Field Toronto, Canada

Heat index 25°C apparent temperature (June–July)

Max temperature 25°C June–July daily high

Humidity 71% relative humidity

Altitude 81m 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.

1,932 Elo rating 1,695

2.13 Recent NT form 2.20

€1114M Squad value €397M

0.308 Squad form (global) 0.221

0.815 Fitness readiness 0.695

+0.16 Decoupling g +0.24

Germany carry the Elo edge (237 points). On the decoupling axis, Côte d'Ivoire 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 →