WC 2026 · Forecasting Oxford Football Forecasting
🇵🇹 Portugal UEFA Elo 1,986 · world 7th
66 / 24 / 10 win · draw · win most likely 1–0
🇨🇩 Congo DR CAF Elo 1,661
Group
K
Date
Wednesday 17 June 2026
Kick-off
17:00 UTC
Venue
Houston Stadium, Houston

Fig. V7 Ensemble · Group K

Portugal v Congo DR — scoreline probabilities

0 Portugal 0–0 Congo DR · 11.22% 11 Portugal 0–1 Congo DR · 4.87% 4.9 Portugal 0–2 Congo DR · 1.52% 1.5 Portugal 0–3 Congo DR · 0.27% Portugal 0–4 Congo DR · 0.04% Portugal 0–5 Congo DR · 0.00% Portugal 0–6 Congo DR · 0.00% Portugal 0–7 Congo DR · 0.00% 18% 1 Portugal 1–0 Congo DR · 17.17% (most likely) 17 Portugal 1–1 Congo DR · 10.46% 10 Portugal 1–2 Congo DR · 2.62% 2.6 Portugal 1–3 Congo DR · 0.47% Portugal 1–4 Congo DR · 0.06% Portugal 1–5 Congo DR · 0.01% Portugal 1–6 Congo DR · 0.00% Portugal 1–7 Congo DR · 0.00% 31% 2 Portugal 2–0 Congo DR · 15.44% 15 Portugal 2–1 Congo DR · 8.33% 8.3 Portugal 2–2 Congo DR · 2.25% 2.3 Portugal 2–3 Congo DR · 0.40% Portugal 2–4 Congo DR · 0.06% Portugal 2–5 Congo DR · 0.01% Portugal 2–6 Congo DR · 0.00% Portugal 2–7 Congo DR · 0.00% 26% 3 Portugal 3–0 Congo DR · 8.85% 8.8 Portugal 3–1 Congo DR · 4.78% 4.8 Portugal 3–2 Congo DR · 1.29% 1.3 Portugal 3–3 Congo DR · 0.23% Portugal 3–4 Congo DR · 0.03% Portugal 3–5 Congo DR · 0.00% Portugal 3–6 Congo DR · 0.00% Portugal 3–7 Congo DR · 0.00% 15% 4 Portugal 4–0 Congo DR · 3.80% 3.8 Portugal 4–1 Congo DR · 2.05% 2.1 Portugal 4–2 Congo DR · 0.55% 0.6 Portugal 4–3 Congo DR · 0.10% Portugal 4–4 Congo DR · 0.01% Portugal 4–5 Congo DR · 0.00% Portugal 4–6 Congo DR · 0.00% Portugal 4–7 Congo DR · 0.00% 7% 5 Portugal 5–0 Congo DR · 1.31% 1.3 Portugal 5–1 Congo DR · 0.71% 0.7 Portugal 5–2 Congo DR · 0.19% Portugal 5–3 Congo DR · 0.03% Portugal 5–4 Congo DR · 0.01% Portugal 5–5 Congo DR · 0.00% Portugal 5–6 Congo DR · 0.00% Portugal 5–7 Congo DR · 0.00% 2% 6 Portugal 6–0 Congo DR · 0.38% Portugal 6–1 Congo DR · 0.20% Portugal 6–2 Congo DR · 0.06% Portugal 6–3 Congo DR · 0.01% Portugal 6–4 Congo DR · 0.00% Portugal 6–5 Congo DR · 0.00% Portugal 6–6 Congo DR · 0.00% Portugal 6–7 Congo DR · 0.00% 1% 7 Portugal 7–0 Congo DR · 0.09% Portugal 7–1 Congo DR · 0.05% Portugal 7–2 Congo DR · 0.01% Portugal 7–3 Congo DR · 0.00% Portugal 7–4 Congo DR · 0.00% Portugal 7–5 Congo DR · 0.00% Portugal 7–6 Congo DR · 0.00% Portugal 7–7 Congo DR · 0.00% 0%

Cells show P(exact scoreline); the right column and bottom row are the marginal totals P(Portugal scores k) and P(Congo DR scores k). Grid runs 0–7 goals per side; the 8–10-goal tail holds 0.04% of the mass and is omitted from the cells (not from the totals).

The grid makes Portugal favourites at 65.4%, with a 24.2% draw. The single most-likely scoreline is 1–0 (17.2%), but no exact score clears 17% — the distribution is broad, as it should be.

Source · Oxford Football Forecasting model

Win · draw · loss

🇵🇹 Portugal 65.4% Draw 24.2% 🇨🇩 Congo DR 10.4%

Rounded values sum to exactly 100%.

Expected goals (λ)

🇵🇹Portugal 1.72
🇨🇩Congo DR 0.54

Poisson means feeding the grid; combined expected goals 2.26.

39.3% Over 2.5 goals P(3 or more goals in the match)
60.7% Under 2.5 goals complement of over-2.5
35.0% Both teams to score P(each side scores ≥ 1)
1–0 Most-likely scoreline modal exact score · 17.2%
NRG Houston, USA
Heat index 47°C apparent temperature (June–July)
Max temperature 33°C June–July daily high
Humidity 77% relative humidity
Altitude 15m above sea level

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

1,986 Elo rating 1,661
2.07 Recent NT form 2.20
€1122M Squad value €184M
0.266 Squad form (global) 0.154
0.792 Fitness readiness 0.557
+0.75 Decoupling g −0.30

Portugal carry the Elo edge (325 points). On the decoupling axis, Portugal 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 →