Model table
Europa League xG & xPTS table
Every Europa League club ranked by the model’s expected goals and expected points over this season’s settled matches, next to what actually happened.
Benfica has the best expected goal difference in the Europa League (+2.6) after 1 rated matches.
Marseille has collected the most points above its expected points (+2.4); Bayer Leverkusen the fewest (-2.2).
Rated matches only: fixtures the model priced before kick-off. Sorted by expected goal difference. Fixture and result data last updated Nov 5
| # | Team | P | xG | xGA | xGD | xPTS | Pts−xPTS |
|---|---|---|---|---|---|---|---|
| 1 |  Benfica | 1 | 3.5 | 0.9 | +2.6 | 2.6 | +0.4 |
| 2 |  Bayer Leverkusen | 1 | 2.5 | 1.1 | +1.4 | 2.2 | -2.2 |
| 3 |  AFC Bournemouth | 1 | 2.1 | 0.9 | +1.2 | 2.2 | +0.8 |
| 4 |  Sunderland | 1 | 2.0 | 0.9 | +1.2 | 2.1 | -2.1 |
| 5 |  Crystal Palace | 1 | 2.4 | 1.4 | +1.0 | 2.0 | -1.0 |
| 6 |  Levski Sofia | 1 | 1.7 | 0.8 | +0.8 | 2.0 | +1.0 |
| 7 |  Beşiktaş | 1 | 1.9 | 1.3 | +0.6 | 1.8 | -1.8 |
| 8 |  Union St.Gilloise | 1 | 1.4 | 0.8 | +0.6 | 1.8 | +1.2 |
| 9 |  Omonia Nicosia | 1 | 1.8 | 1.2 | +0.6 | 1.8 | -1.8 |
| 10 |  Sturm Graz | 1 | 1.4 | 0.9 | +0.6 | 1.8 | -1.8 |
| 11 |  Real Sociedad | 1 | 2.0 | 1.4 | +0.6 | 1.7 | -0.7 |
| 12 |  Anderlecht | 1 | 1.7 | 1.2 | +0.5 | 1.7 | +1.3 |
| 13 |  Torreense | 1 | 1.4 | 1.0 | +0.4 | 1.7 | +1.3 |
| 14 |  Hapoel Beer Sheva | 1 | 1.6 | 1.2 | +0.4 | 1.6 | -1.6 |
| 15 |  Juventus | 1 | 1.5 | 1.1 | +0.3 | 1.6 | +1.4 |
| 16 |  Olympiacos | 1 | 1.3 | 1.1 | +0.2 | 1.5 | -0.5 |
| 17 |  Milan | 1 | 1.4 | 1.3 | +0.1 | 1.4 | -1.4 |
| 18 |  Viktoria Plzeň | 1 | 1.6 | 1.5 | +0.1 | 1.4 | +1.6 |
| 19 |  Lillestrøm | 1 | 1.5 | 1.6 | -0.1 | 1.3 | -1.3 |
| 20 |  Ferencváros | 1 | 1.3 | 1.4 | -0.1 | 1.3 | +1.7 |
| 21 |  Rennes | 1 | 1.1 | 1.3 | -0.2 | 1.2 | -0.2 |
| 22 |  AZ Alkmaar | 1 | 1.1 | 1.5 | -0.3 | 1.1 | -1.1 |
| 23 |  OFI Crete | 1 | 1.2 | 1.6 | -0.4 | 1.1 | +1.9 |
| 24 |  Ararat Armenia | 1 | 1.0 | 1.4 | -0.4 | 1.1 | -1.1 |
| 25 |  Salzburg | 1 | 1.2 | 1.7 | -0.5 | 1.0 | -1.0 |
| 26 |  Lyon | 1 | 1.4 | 2.0 | -0.6 | 1.0 | -0.0 |
| 27 |  NK Celje | 1 | 0.9 | 1.4 | -0.6 | 0.9 | +2.1 |
| 28 |  NEC Nijmegen | 1 | 1.2 | 1.8 | -0.6 | 1.0 | +2.0 |
| 29 |  Celta Vigo | 1 | 0.8 | 1.4 | -0.6 | 0.9 | -0.9 |
| 30 |  Celtic | 1 | 1.3 | 1.9 | -0.6 | 1.0 | +2.0 |
| 31 |  Jagiellonia Białystok | 1 | 0.8 | 1.7 | -0.8 | 0.8 | -0.8 |
| 32 |  Hoffenheim | 1 | 1.4 | 2.4 | -1.0 | 0.8 | +0.2 |
| 33 |  Dinamo Zagreb | 1 | 0.9 | 2.0 | -1.2 | 0.7 | +2.3 |
| 34 |  Sparta Prague | 1 | 0.9 | 2.1 | -1.2 | 0.6 | -0.6 |
| 35 |  Marseille | 1 | 1.1 | 2.5 | -1.4 | 0.6 | +2.4 |
| 36 |  Lech Poznań | 1 | 0.9 | 3.5 | -2.6 | 0.3 | -0.3 |
What is an xG table?
An xG table re-orders the league by chance quality instead of goals: expected goals for, expected goals against and their difference. It shows which clubs are over- or under-performing their play. A side high in the real table but low here is riding good finishing or a goalkeeper in form, and usually drifts back.
The figures here are the model’s pre-match expected goals — its attack and defence ratings, refitted after every round — not shot-based xG. They are stored before kick-off and never revised, so the table is a record of what the model expected, matched against what happened.
Expected points (xPTS) convert each match’s probabilities into points: win probability × 3 plus draw probability, summed over the club’s matches. Points minus xPTS is the luck column: positive means the club has collected more than its performances were worth.
xG, xPTS and the other terms in the glossary · How the model rates attack and defence