How expected points (xPts) are calculated

Expected points turn a match's expected goals into the points a team would earn on average. Here is exactly how this site does it.

1. The inputs: match-level xG

For every finished World Cup 2026 match we take each team's total expected goals (xG) from the match data — a single number per team that sums the quality of all their chances. Goals, results and the official table come from public match data too. Expected goals are sourced, not computed here; only expected points (xPts) are calculated on this site, from those xG figures.

2. The model: two independent Poisson distributions

We treat each team's match xG as the mean (λ) of a Poisson distribution over goals scored. From the two distributions we build a score-probability matrix for every realistic scoreline (0–0 up to 10–10), then sum the cells into three outcomes: P(home win), P(draw), P(away win). Expected points are then:

xPts = 3 × P(win) + 1 × P(draw)

This is the same independent-Poisson approach used by outlets like FiveThirtyEight, and it lands within a hundredth of a point of the shot-by-shot simulation Understat uses — without needing shot-level data.

3. A worked example

Take a match where the home side records 2.1 xG and the away side 0.2 xG. Running the Poisson matrix gives roughly P(win) = 0.83, P(draw) = 0.15, P(loss) = 0.02 — so the home team's expected points are 3 × 0.83 + 1 × 0.15 ≈ 2.63, and the away team's are ≈ 0.23. If that match actually finished 0–0, both sides scored 1 actual point: the home team massively under-performed (Δ ≈ −1.63), the away team over-performed (Δ ≈ +0.77).

4. Reading the numbers

We sum each team's per-match expected points across the tournament and compare them to actual points. A large positive Δ (points − xPts) marks an overperformer — clinical finishing or good fortune. A large negative Δ marks a team that, on the balance of chances, deserved better.

Limitations to keep in mind

See the glossary for definitions of every metric, or jump back to the interactive luck quadrant.