WC 2026 · Forecasting Oxford Football Forecasting
🇳🇴 Norway UEFA Elo 1,914 · world 15th
46 / 30 / 24 win · draw · win most likely 1–1
🇸🇳 Senegal CAF Elo 1,867 · world 22nd
Group
I
Date
Tuesday 23 June 2026
Kick-off
00:00 UTC
Venue
New York/New Jersey Stadium, East Rutherford

Fig. V7 Ensemble · Group I

Norway v Senegal — scoreline probabilities

0 Norway 0–0 Senegal · 11.41% 11 Norway 0–1 Senegal · 8.45% 8.5 Norway 0–2 Senegal · 4.36% 4.4 Norway 0–3 Senegal · 1.34% 1.3 Norway 0–4 Senegal · 0.31% Norway 0–5 Senegal · 0.06% Norway 0–6 Senegal · 0.01% Norway 0–7 Senegal · 0.00% 26% 1 Norway 1–0 Senegal · 12.92% 13 Norway 1–1 Senegal · 13.84% (most likely) 14 Norway 1–2 Senegal · 5.89% 5.9 Norway 1–3 Senegal · 1.81% 1.8 Norway 1–4 Senegal · 0.41% Norway 1–5 Senegal · 0.08% Norway 1–6 Senegal · 0.01% Norway 1–7 Senegal · 0.00% 35% 2 Norway 2–0 Senegal · 9.43% 9.4 Norway 2–1 Senegal · 8.66% 8.7 Norway 2–2 Senegal · 3.98% 4.0 Norway 2–3 Senegal · 1.22% 1.2 Norway 2–4 Senegal · 0.28% Norway 2–5 Senegal · 0.05% Norway 2–6 Senegal · 0.01% Norway 2–7 Senegal · 0.00% 24% 3 Norway 3–0 Senegal · 4.24% 4.2 Norway 3–1 Senegal · 3.90% 3.9 Norway 3–2 Senegal · 1.79% 1.8 Norway 3–3 Senegal · 0.55% 0.5 Norway 3–4 Senegal · 0.13% Norway 3–5 Senegal · 0.02% Norway 3–6 Senegal · 0.00% Norway 3–7 Senegal · 0.00% 11% 4 Norway 4–0 Senegal · 1.43% 1.4 Norway 4–1 Senegal · 1.32% 1.3 Norway 4–2 Senegal · 0.60% 0.6 Norway 4–3 Senegal · 0.18% Norway 4–4 Senegal · 0.04% Norway 4–5 Senegal · 0.01% Norway 4–6 Senegal · 0.00% Norway 4–7 Senegal · 0.00% 4% 5 Norway 5–0 Senegal · 0.39% Norway 5–1 Senegal · 0.36% Norway 5–2 Senegal · 0.16% Norway 5–3 Senegal · 0.05% Norway 5–4 Senegal · 0.01% Norway 5–5 Senegal · 0.00% Norway 5–6 Senegal · 0.00% Norway 5–7 Senegal · 0.00% 1% 6 Norway 6–0 Senegal · 0.09% Norway 6–1 Senegal · 0.08% Norway 6–2 Senegal · 0.04% Norway 6–3 Senegal · 0.01% Norway 6–4 Senegal · 0.00% Norway 6–5 Senegal · 0.00% Norway 6–6 Senegal · 0.00% Norway 6–7 Senegal · 0.00% 0% 7 Norway 7–0 Senegal · 0.02% Norway 7–1 Senegal · 0.01% Norway 7–2 Senegal · 0.01% Norway 7–3 Senegal · 0.00% Norway 7–4 Senegal · 0.00% Norway 7–5 Senegal · 0.00% Norway 7–6 Senegal · 0.00% Norway 7–7 Senegal · 0.00% 0%

Cells show P(exact scoreline); the right column and bottom row are the marginal totals P(Norway scores k) and P(Senegal scores k). Grid runs 0–7 goals per side; the 8–10-goal tail holds 0.01% of the mass and is omitted from the cells (not from the totals).

The grid makes Norway favourites at 45.7%, with a 29.8% draw. The single most-likely scoreline is 1–1 (13.8%), but no exact score clears 14% — the distribution is broad, as it should be.

Source · Oxford Football Forecasting model

Win · draw · loss

🇳🇴 Norway 45.7% Draw 29.8% 🇸🇳 Senegal 24.5%

Rounded values sum to exactly 100%.

Expected goals (λ)

🇳🇴Norway 1.35
🇸🇳Senegal 0.92

Poisson means feeding the grid; combined expected goals 2.27.

39.6% Over 2.5 goals P(3 or more goals in the match)
60.4% Under 2.5 goals complement of over-2.5
45.6% Both teams to score P(each side scores ≥ 1)
1–1 Most-likely scoreline modal exact score · 13.8%
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.

1,914 Elo rating 1,867
2.40 Recent NT form 2.27
€580M Squad value €360M
0.299 Squad form (global) 0.218
0.777 Fitness readiness 0.712
+0.24 Decoupling g −0.26

Norway carry the Elo edge (47 points). On the decoupling axis, Norway 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 →