Argentina lead the WC Qualification South America on expected points in 2026, with 21.6 xG created and 11.2 conceded across their matches. Chile have the biggest gap between results and underlying numbers — 11 points from chances worth 21.8 xPts. The tables here cover 90 matches and sort on every column; the full expected-points table, with qualification and relegation places applied, lives in the xG view on the Table page.
Chile have the biggest shortfall in the WC Qualification South America: 11 points from chances worth 21.8 xPts, a gap of 10.8. At the other end, Ecuador have taken 32 points from an xPts figure of 25.5, 6.5 more than the underlying numbers justify.
Expected goals measure the quality of the chances a team creates and concedes, with every shot scored between 0 and 1 by how often shots like it are converted. Expected points come from running each finished match through a Poisson model using both sides' xG, giving a win, draw and loss probability, then awarding three points and one point against those probabilities. Underlying data is supplied by Sportmonks.
An xG table ranks clubs by the quality of the chances they create and concede rather than by the goals that happened to go in. Every shot is scored between 0 and 1 by how often shots like it are converted, and those values are summed into expected goals for (WC Qualification South America xG) and against (xGA).
Expected points. Each finished match is run through a Poisson model using both sides' xG, which produces a win, draw and loss probability; the team is then awarded three points and one point weighted by those probabilities. Summed across the season it estimates the points a club's performances were worth.
Usually a mix of clinical finishing, good goalkeeping and luck. Finishing skill is real but small and hard to sustain, so a large positive gap between points and xPts more often signals results that will drift back towards the underlying numbers than a permanently better team.
Shot-level data is supplied by Sportmonks and updates after every finished match, typically within a few hours of full-time. Different providers train their xG models on different data, so our figures will not match another site's exactly, though the ranking is generally similar.
| # | Team | Played | xG | xGA | xGD | Points | xPts | Points minus xPts |
|---|---|---|---|---|---|---|---|---|
| 1 | Argentina | 18 | 21.6 | 11.2 | 10.4 | 38 | 32.0 | +6.0 |
| 2 | Brazil | 18 | 27.2 | 14.0 | 13.2 | 28 | 30.9 | -2.9 |
| 3 | Colombia | 18 | 27.0 | 18.6 | 8.4 | 28 | 29.9 | -1.9 |
| 4 | Ecuador | 18 | 17.1 | 15.3 | 1.8 | 32 | 25.5 | +6.5 |
| 5 | Paraguay | 18 | 19.7 | 18.2 | 1.4 | 28 | 24.6 | +3.4 |
| 6 | Uruguay | 18 | 17.9 | 17.8 | 0.1 | 28 | 23.6 | +4.4 |
| 7 | Chile | 18 | 16.5 | 23.2 | -6.8 | 11 | 21.8 | -10.8 |
| 8 | Bolivia | 18 | 17.7 | 24.4 | -6.8 | 20 | 20.9 | -0.9 |
| 9 | Venezuela | 18 | 17.7 | 25.1 | -7.4 | 18 | 20.5 | -2.5 |
| 10 | Peru | 18 | 11.7 | 25.9 | -14.3 | 12 | 15.4 | -3.4 |