Erling Haaland of Norway leads the WC Qualification Europe expected goals charts in 2026, with 9.2 xG from 8 appearances. Nikola Krstović sits furthest below, 2 goals from chances worth 4.2 xG. The boards here cover 1587 players and sort on every column; expected goals for each club, with expected points, are on the WC Qualification Europe xG table.
| # | Player | Team | Apps | Goals | xG | Goals minus xG |
|---|---|---|---|---|---|---|
| 1 | Erling Haaland | Norway | 8 | 16 | 9.2 | +6.8 |
| 2 | Harry Kane | England | 8 | 8 | 6.6 | +1.4 |
| 3 | Cristiano Ronaldo | Portugal | 5 | 5 | 6.0 | -1.0 |
| 4 | Edin Džeko | Bosnia and Herzegovina | 9 | 6 | 5.5 | +0.5 |
| 5 | Patrik Schick | Czech Republic | 8 | 5 | 5.3 | -0.3 |
| 6 | Mikel Oyarzabal | Spain | 6 | 6 | 5.3 | +0.7 |
| 7 | Mateo Retegui | Italy | 10 | 5 | 5.1 | -0.1 |
| 8 | Kylian Mbappé | France | 4 | 5 | 5.0 | 0.0 |
| 9 | Memphis Depay | Netherlands | 8 | 8 | 4.8 | +3.2 |
| 10 | Rasmus Højlund | Denmark | 7 | 5 | 4.8 | +0.2 |
| 11 | Marko Arnautovic | Austria | 7 | 8 | 4.4 | +3.6 |
| 12 | Nikola Krstović | Montenegro | 8 | 2 | 4.2 | -2.2 |
| 13 | Alexander Sørloth | Norway | 8 | 5 | 4.2 | +0.8 |
| 14 | Andrej Kramaric | Croatia | 8 | 6 | 4.1 | +1.9 |
| 15 | Ioannis Pittas | Cyprus | 6 | 3 | 4.1 | -1.1 |
| 16 | Joel Pohjanpalo | Finland | 8 | 2 | 3.8 | -1.8 |
| 17 | Kevin De Bruyne | Belgium | 6 | 6 | 3.8 | +2.2 |
| 18 | Robert Lewandowski | Poland | 9 | 5 | 3.6 | +1.4 |
| 19 | Harry Wilson | Wales | 6 | 5 | 3.5 | +1.5 |
| 20 | Cody Gakpo | Netherlands | 8 | 4 | 3.5 | +0.5 |
| 21 | Troy Parrott | Republic of Ireland | 5 | 6 | 3.4 | +2.6 |
| 22 | Marcel Sabitzer | Austria | 8 | 3 | 3.3 | -0.3 |
| 23 | Hans Vanaken | Belgium | 7 | 2 | 3.3 | -1.3 |
| 24 | Tomáš Souček | Czech Republic | 10 | 2 | 3.3 | -1.3 |
| 25 | Bruno Fernandes | Portugal | 5 | 3 | 3.3 | -0.3 |
| 26 | Dor Peretz | Israel | 6 | 3 | 3.1 | -0.1 |
| 27 | Pio Esposito | Italy | 7 | 3 | 3.1 | -0.1 |
| 28 | Benjamin Källman | Finland | 8 | 3 | 3.0 | 0.0 |
| 29 | Mikel Merino | Spain | 6 | 6 | 3.0 | +3.0 |
| 30 | Rey Manaj | Albania | 6 | 3 | 2.9 | +0.1 |
| 31 | Ante Budimir | Croatia | 5 | 2 | 2.9 | -0.9 |
| 32 | Pavel Sulc | Czech Republic | 9 | 2 | 2.9 | -0.9 |
| 33 | Dušan Vlahović | Serbia | 7 | 2 | 2.8 | -0.8 |
| 34 | Kerem Aktürkoğlu | Turkey | 7 | 3 | 2.8 | +0.2 |
| 35 | Michael Gregoritsch | Austria | 8 | 4 | 2.8 | +1.2 |
| 36 | Christos Tzolis | Greece | 6 | 3 | 2.8 | +0.3 |
| 37 | Ché Adams | Scotland | 6 | 2 | 2.7 | -0.7 |
| 38 | Breel Embolo | Switzerland | 6 | 4 | 2.7 | +1.3 |
| 39 | Jérémy Doku | Belgium | 8 | 5 | 2.7 | +2.4 |
| 40 | Lovro Majer | Croatia | 3 | 0 | 2.6 | -2.6 |
| 41 | Viktor Gyökeres | Sweden | 6 | 4 | 2.6 | +1.4 |
| 42 | Florian Wirtz | Germany | 6 | 1 | 2.6 | -1.6 |
| 43 | Karol Świderski | Poland | 9 | 4 | 2.5 | +1.5 |
| 44 | Thelo Aasgaard | Norway | 4 | 5 | 2.5 | +2.5 |
| 45 | Ferran Torres | Spain | 4 | 2 | 2.4 | -0.4 |
| 46 | Ivan Perišić | Croatia | 8 | 4 | 2.4 | +1.6 |
| 47 | Moise Kean | Italy | 5 | 6 | 2.4 | +3.7 |
| 48 | Dan Biton | Israel | 8 | 2 | 2.3 | -0.3 |
| 49 | Franjo Ivanović | Croatia | 7 | 2 | 2.3 | -0.3 |
| 50 | Jakub Kamiński | Poland | 10 | 2 | 2.3 | -0.3 |
Expected goals measure the quality of the chances a player gets, with every shot scored between 0 and 1 by how often shots like it are converted. A player's xG is those values added up, so the gap between the goals they scored and their xG shows whether they finished better or worse than their chances deserved. Underlying data is supplied by Sportmonks.
Expected goals measures the quality of the chances a player gets. Every shot is scored between 0 and 1 by how often shots like it are converted, and a player's xG is those values added up. A player on 8 xG has had chances a typical finisher would score about eight times from.
Goals minus xG. A positive number means the player has scored more than the quality of their chances suggested, a negative number means fewer. It is the quickest way to see who is finishing well and who is not.
Usually. Finishing skill is real but small and hard to sustain, so across a full season most players end up close to their expected goals. A large gap either way is more likely to close than to carry on, which makes it a guide rather than a guarantee.
Shot-level data is supplied by Sportmonks and updates after every finished match, usually within a few hours of full time. Each shot is credited to the player who took it. Providers train their models on different data, so our numbers will not match another site's exactly.