Haiti v Scotland · Oxford Football Forecasting

🇭🇹 Haiti CONCACAF Elo 1,548 · world 71st

13 / 24 / 63 win · draw · win most likely 0–1

🏴󠁧󠁢󠁳󠁣󠁴󠁿 Scotland UEFA Elo 1,782 · world 33rd

Group: C
Date: Sunday 14 June 2026
Kick-off: 01:00 UTC
Venue: Boston Stadium, Foxborough

§ 01

The scoreline grid

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

Fig. V7 Ensemble · Group C

Haiti v Scotland — scoreline probabilities

Cells show P(exact scoreline); the right column and bottom row are the marginal totals P(Haiti scores k) and P(Scotland scores k). Grid runs 0–7 goals per side; the 8–10-goal tail holds 0.06% of the mass and is omitted from the cells (not from the totals).

The grid makes Scotland favourites at 63.6%, with a 23.7% draw. The single most-likely scoreline is 0–1 (14.1%), but no exact score clears 14% — 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

12.7% 23.7% 63.6%

🇭🇹 Haiti 12.7% Draw 23.7% 🏴󠁧󠁢󠁳󠁣󠁴󠁿 Scotland 63.6%

Rounded values sum to exactly 100%.

Expected goals (λ)

🇭🇹Haiti 0.69

🏴󠁧󠁢󠁳󠁣󠁴󠁿Scotland 1.81

Poisson means feeding the grid; combined expected goals 2.50.

45.6% Over 2.5 goals P(3 or more goals in the match)

54.4% Under 2.5 goals complement of over-2.5

42.4% Both teams to score P(each side scores ≥ 1)

0–1 Most-likely scoreline modal exact score · 14.1%

§ 03

Venue context

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

Gillette Foxborough, USA

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

Max temperature 27°C June–July daily high

Humidity 74% relative humidity

Altitude 83m 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.

1,548 Elo rating 1,782

1.27 Recent NT form 1.87

€44M Squad value €272M

0.115 Squad form (global) 0.322

0.398 Fitness readiness 0.589

−0.17 Decoupling g +0.30

Scotland carry the Elo edge (234 points). On the decoupling axis, Scotland 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 →