Lionel Messi of Argentina leads the World Cup expected goals charts in 2026, with 5.5 xG from 8 appearances. Kylian Mbappé has scored furthest above their chances, 10 goals from 5.0 xG. Michael Olise sits furthest below, 0 goals from chances worth 2.1 xG. The boards here cover 1039 players and sort on every column; expected goals for each club, with expected points, are on the World Cup xG table.
| # | Player | Team | Apps | Goals | xG | Goals minus xG |
|---|---|---|---|---|---|---|
| 1 | Lionel Messi | Argentina | 8 | 8 | 5.5 | +2.5 |
| 2 | Kylian Mbappé | France | 8 | 10 | 5.0 | +5.0 |
| 3 | Ismaïla Sarr | Senegal | 4 | 4 | 4.5 | -0.5 |
| 4 | Erling Haaland | Norway | 5 | 7 | 4.2 | +2.8 |
| 5 | Cristiano Ronaldo | Portugal | 5 | 3 | 3.8 | -0.8 |
| 6 | Mikel Oyarzabal | Spain | 8 | 5 | 3.6 | +1.4 |
| 7 | Harry Kane | England | 7 | 6 | 3.5 | +2.5 |
| 8 | Jude Bellingham | England | 8 | 7 | 3.4 | +3.6 |
| 9 | Raúl Jiménez | Mexico | 4 | 3 | 2.8 | +0.2 |
| 10 | Lautaro MartÃnez | Argentina | 7 | 3 | 2.6 | +0.4 |
| 11 | Breel Embolo | Switzerland | 6 | 2 | 2.4 | -0.4 |
| 12 | Jonathan David | Canada | 5 | 3 | 2.4 | +0.6 |
| 13 | Vinicius Junior | Brazil | 5 | 4 | 2.3 | +1.7 |
| 14 | Cyle Larin | Canada | 4 | 2 | 2.3 | -0.3 |
| 15 | Yoane Wissa | Congo DR | 4 | 3 | 2.3 | +0.8 |
| 16 | Lamine Yamal | Spain | 8 | 1 | 2.2 | -1.2 |
| 17 | Michael Olise | France | 8 | 0 | 2.1 | -2.1 |
| 18 | Leandro Trossard | Belgium | 6 | 2 | 2.1 | -0.1 |
| 19 | Achraf Hakimi | Morocco | 6 | 1 | 2.1 | -1.1 |
| 20 | Folarin Balogun | United States | 4 | 3 | 2.0 | +1.0 |
| 21 | Kai Havertz | Germany | 4 | 3 | 2.0 | +1.0 |
| 22 | Ferran Torres | Spain | 8 | 1 | 2.0 | -1.0 |
| 23 | Cody Gakpo | Netherlands | 4 | 3 | 1.8 | +1.2 |
| 24 | Luis DÃaz | Colombia | 5 | 1 | 1.8 | -0.8 |
| 25 | Gonzalo Plata | Ecuador | 4 | 1 | 1.7 | -0.7 |
| 26 | Charles De Ketelaere | Belgium | 5 | 3 | 1.6 | +1.4 |
| 27 | Matheus Cunha | Brazil | 5 | 3 | 1.6 | +1.4 |
| 28 | Enner Valencia | Ecuador | 4 | 0 | 1.6 | -1.6 |
| 29 | Bukayo Saka | England | 7 | 3 | 1.6 | +1.4 |
| 30 | Youri Tielemans | Belgium | 5 | 2 | 1.6 | +0.4 |
| 31 | Brian Brobbey | Netherlands | 4 | 3 | 1.6 | +1.4 |
| 32 | Kevin De Bruyne | Belgium | 5 | 1 | 1.5 | -0.5 |
| 33 | Alexis Mac Allister | Argentina | 8 | 1 | 1.5 | -0.5 |
| 34 | Julián Quiñones | Mexico | 5 | 4 | 1.5 | +2.5 |
| 35 | Nicolas Pépé | Côte d'Ivoire | 4 | 2 | 1.4 | +0.6 |
| 36 | Julián Alvarez | Argentina | 8 | 1 | 1.4 | -0.4 |
| 37 | Marko Arnautovic | Austria | 4 | 2 | 1.4 | +0.6 |
| 38 | Amad Diallo | Côte d'Ivoire | 4 | 2 | 1.4 | +0.6 |
| 39 | Ismael Saibari | Morocco | 5 | 3 | 1.4 | +1.6 |
| 40 | Mehdi Taremi | Iran | 3 | 0 | 1.4 | -1.4 |
| 41 | Ibrahim Maza | Algeria | 4 | 0 | 1.3 | -1.3 |
| 42 | Dan Ndoye | Switzerland | 6 | 2 | 1.3 | +0.7 |
| 43 | Malik Tillman | United States | 5 | 2 | 1.3 | +0.8 |
| 44 | Mostafa Mohamed Zaki Abdelraouf | Egypt | 5 | 2 | 1.2 | +0.8 |
| 45 | Scott McTominay | Scotland | 3 | 0 | 1.2 | -1.2 |
| 46 | Deniz Undav | Germany | 4 | 3 | 1.2 | +1.8 |
| 47 | Bradley Barcola | France | 8 | 3 | 1.2 | +1.8 |
| 48 | Viktor Gyökeres | Sweden | 4 | 1 | 1.2 | -0.2 |
| 49 | Ousmane Dembélé | France | 8 | 6 | 1.1 | +4.9 |
| 50 | Romelu Lukaku | Belgium | 6 | 3 | 1.1 | +1.9 |
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.