Europe2025/26 season
Live standings refreshed hourly. The xPtscolumn shows the model's expected points based on goal-scoring rates; the Δ column is actual minus expected — positive means over-performance, negative means under-performance.
| # | Team | P | W | D | L | GF | GA | GD | Pts | xPts | Δ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 6 | 5 | 1 | 0 | 11 | 5 | +6 | 16 | 12.3 | +3.7 | DWWWW | |
| 2 | 6 | 4 | 2 | 0 | 9 | 2 | +7 | 14 | 13.6 | +0.4 | DDWWW | |
| 3 | 6 | 4 | 1 | 1 | 14 | 7 | +7 | 13 | 12.5 | +0.5 | WDWWW | |
| 4 | 6 | 4 | 1 | 1 | 10 | 3 | +7 | 13 | 13.3 | -0.3 | LDWWW | |
| 5 | 6 | 4 | 1 | 1 | 13 | 7 | +6 | 13 | 12.0 | +1.0 | DWLWW | |
| 6 | 6 | 4 | 1 | 1 | 10 | 5 | +5 | 13 | 11.7 | +1.3 | LWWWD | |
| 7 | 6 | 4 | 1 | 1 | 7 | 3 | +4 | 13 | 11.3 | +1.6 | WWLDW | |
| 8 | 6 | 3 | 3 | 0 | 7 | 1 | +6 | 12 | 13.3 | -1.3 | WDDDW | |
| 9 | 6 | 3 | 2 | 1 | 6 | 3 | +3 | 11 | 10.6 | +0.5 | WDLDW | |
| 10 | 6 | 3 | 1 | 2 | 11 | 6 | +5 | 10 | 11.6 | -1.6 | LWLWD | |
| 11 | 6 | 3 | 1 | 2 | 12 | 8 | +4 | 10 | 10.8 | -0.8 | LLWDW | |
| 12 | 6 | 3 | 1 | 2 | 10 | 6 | +4 | 10 | 11.0 | -1.0 | WWDLL | |
| 13 | 6 | 3 | 1 | 2 | 8 | 7 | +1 | 10 | 8.9 | +1.1 | WWLLD | |
| 14 | 6 | 3 | 1 | 2 | 7 | 7 | 0 | 10 | 8.2 | +1.8 | WLWWD | |
| 15 | 6 | 3 | 0 | 3 | 8 | 5 | +3 | 9 | 10.4 | -1.4 | WLLWL | |
| 16 | 6 | 2 | 3 | 1 | 5 | 2 | +3 | 9 | 10.6 | -1.6 | WDDWD | |
| 17 | 6 | 2 | 3 | 1 | 5 | 4 | +1 | 9 | 8.8 | +0.2 | DDWLD | |
| 18 | 6 | 2 | 2 | 2 | 5 | 4 | +1 | 8 | 8.8 | -0.8 | DDWWL | |
| 19 | 6 | 2 | 2 | 2 | 6 | 7 | -1 | 8 | 7.4 | +0.6 | DLDWL | |
| 20 | 6 | 2 | 2 | 2 | 4 | 8 | -4 | 8 | 5.1 | +2.9 | DWWLL | |
| 21 | 6 | 1 | 4 | 1 | 6 | 5 | +1 | 7 | 8.8 | -1.8 | DWLDD | |
| 22 | 6 | 2 | 1 | 3 | 4 | 5 | -1 | 7 | 7.0 | -0.0 | WDLWL | |
| 23 | 6 | 2 | 1 | 3 | 8 | 10 | -2 | 7 | 7.0 | +0.0 | LLWLD | |
| 24 | 6 | 2 | 1 | 3 | 7 | 9 | -2 | 7 | 6.8 | +0.1 | DWWLL | |
| 25 | 6 | 2 | 1 | 3 | 6 | 8 | -2 | 7 | 6.7 | +0.3 | DWWLL | |
| 26 | 6 | 2 | 1 | 3 | 7 | 15 | -8 | 7 | 3.9 | +3.1 | WDLWL | |
| 27 | 6 | 2 | 0 | 4 | 9 | 9 | 0 | 6 | 8.3 | -2.3 | LWLLW | |
| 28 | 6 | 2 | 0 | 4 | 8 | 8 | 0 | 6 | 8.2 | -2.2 | WLLLW | |
| 29 | 6 | 2 | 0 | 4 | 5 | 9 | -4 | 6 | 5.3 | +0.7 | LLWLW | |
| 30 | 6 | 1 | 2 | 3 | 6 | 11 | -5 | 5 | 5.0 | -0.0 | DLDWL | |
| 31 | 6 | 1 | 1 | 4 | 7 | 13 | -6 | 4 | 4.8 | -0.8 | LDLLW | |
| 32 | 6 | 0 | 3 | 3 | 5 | 8 | -3 | 3 | 5.9 | -2.9 | DLLDL | |
| 33 | 6 | 1 | 0 | 5 | 4 | 11 | -7 | 3 | 3.6 | -0.6 | LLWLL | |
| 34 | 6 | 0 | 2 | 4 | 0 | 7 | -7 | 2 | 1.9 | +0.1 | LLLLD | |
| 35 | 6 | 0 | 2 | 4 | 3 | 14 | -11 | 2 | 2.0 | -0.0 | LDDLL | |
| 36 | 6 | 0 | 1 | 5 | 3 | 14 | -11 | 1 | 2.0 | -1.0 | LLLLD |
How xPoints is computed: for each team we average goals scored and conceded per match across the season, feed those rates into a Poisson model, derive a per-match expected-points value, and multiply by matches played. It's a goals-rate proxy — true shot-xG xPoints would require per-fixture stats aggregation that's outside the API budget right now. The methodology is consistent across every team in the table so the rankings remain meaningful.