Pre-match projection. Probabilities are frozen approximately 6 hours before kickoff to provide a stable pre-match reference.

Goleadores del torneo

P(marca ≥1 gol) — Mundial 2026

Una estimación por jugador del modelo de la probabilidad de que el jugador marque al menos un gol en los partidos que dispute su selección en el torneo 2026. Calculada a partir del ratio goleador reciente a nivel de club de cada jugador, una cifra de minutos esperados derivada de las internacionalidades, una participación ponderada por posición en los goles esperados del equipo, un multiplicador de defensa rival y el número esperado de partidos de la selección según el Monte Carlo del cuadro. La metodología y las limitaciones conocidas de la v0 están documentadas en /docs/methodology/.

2,630 jugadores en 48 selecciones · datos al 2026-05-29

Top 50 por P(marca ≥1)

50 players

Rank1RaphinhaPKBrazilPosFWFormRisingTeam outlookTop-45.6 mpP(scores ≥1)55.3%
Rank2Jonathan DavidPKCanadaPosFWFormCoolingTeam outlookR164.7 mpP(scores ≥1)47.5%
Rank3Lionel MessiPKArgentinaPosFWFormSteadyTeam outlookFinal5.8 mpP(scores ≥1)46.9%
Rank4Mikel OyarzabalPKSpainPosFWFormRisingTeam outlookFinal5.9 mpP(scores ≥1)46.0%
Rank5Erling HaalandPKNorwayPosFWFormSteadyTeam outlookR164.5 mpP(scores ≥1)45.1%
Rank6Cristiano RonaldoPKPortugalPosFWFormCoolingTeam outlookTop-45.4 mpP(scores ≥1)44.4%
Rank7Folarin BalogunPKUnited StatesPosFWFormSteadyTeam outlookR164.3 mpP(scores ≥1)43.3%
Rank8Son Heung-minPKSouth KoreaPosFWFormCoolingTeam outlookR164.3 mpP(scores ≥1)42.0%
Rank9Chris WoodPKNew ZealandPosFWFormSteadyTeam outlookLong shot3.4 mpP(scores ≥1)39.2%
Rank10Marcus ThuramPKFrancePosFWFormRisingTeam outlookTop-45.6 mpP(scores ≥1)38.9%
Rank11Ante BudimirPKCroatiaPosFWFormCoolingTeam outlookTop-84.9 mpP(scores ≥1)38.8%
Rank12James RodríguezPKColombiaPosMFFormCoolingTeam outlookTop-85.2 mpP(scores ≥1)37.4%
Rank13Raúl JiménezPKMexicoPosFWFormSteadyTeam outlookR164.8 mpP(scores ≥1)36.2%
Rank14Alexander SørlothNorwayPosFWFormCoolingTeam outlookR164.5 mpP(scores ≥1)34.4%
Rank15Kevin De BruynePKBelgiumPosMFFormSteadyTeam outlookTop-85.2 mpP(scores ≥1)33.1%
Rank16Jordan AyewPKGhanaPosFWFormSteadyTeam outlookKnockout3.3 mpP(scores ≥1)32.3%
Rank17Harry KaneEnglandPosFWFormRisingTeam outlookTop-85.4 mpP(scores ≥1)32.0%
Rank18Gabriel JesusBrazilPosFWFormCoolingTeam outlookTop-45.6 mpP(scores ≥1)31.7%
Rank19Ferran TorresSpainPosFWFormRisingTeam outlookFinal5.9 mpP(scores ≥1)30.9%
Rank20Ricardo RodriguezPKSwitzerlandPosDFFormCoolingTeam outlookTop-85.0 mpP(scores ≥1)30.2%
Rank21Gonçalo RamosPortugalPosFWFormTeam outlookTop-45.4 mpP(scores ≥1)29.8%
Rank22Franck KessiéPKIvory CoastPosMFFormCoolingTeam outlookR164.0 mpP(scores ≥1)29.6%
Rank23Marcus RashfordPKEnglandPosFWFormRisingTeam outlookTop-85.4 mpP(scores ≥1)29.6%
Rank24Yoane WissaPKDR CongoPosFWFormRisingTeam outlookKnockout3.4 mpP(scores ≥1)29.5%
Rank25Niclas FüllkrugPKGermanyPosFWFormTeam outlookTop-85.3 mpP(scores ≥1)28.6%
Rank26Donyell MalenNetherlandsPosFWFormRisingTeam outlookTop-85.0 mpP(scores ≥1)28.3%
Rank27Vinícius JúniorBrazilPosFWFormCoolingTeam outlookTop-45.6 mpP(scores ≥1)28.0%
Rank28Ousmane DembéléFrancePosFWFormRisingTeam outlookTop-45.6 mpP(scores ≥1)27.9%
Rank29Antonio SanabriaPKParaguayPosFWFormRisingTeam outlookR164.1 mpP(scores ≥1)27.8%
Rank30Amine GouiriPKAlgeriaPosFWFormRisingTeam outlookKnockout3.9 mpP(scores ≥1)27.7%
Rank31Breel EmboloSwitzerlandPosFWFormCoolingTeam outlookTop-85.0 mpP(scores ≥1)27.7%
Rank32Sofyan AmrabatPKMoroccoPosMFFormSteadyTeam outlookR164.9 mpP(scores ≥1)27.0%
Rank33Omar MarmoushEgyptPosFWFormRisingTeam outlookR164.1 mpP(scores ≥1)26.9%
Rank34Hakan ÇalhanoğluPKTurkeyPosMFFormSteadyTeam outlookR164.3 mpP(scores ≥1)26.5%
Rank35Mostafa MohamedEgyptPosFWFormCoolingTeam outlookR164.1 mpP(scores ≥1)25.4%
Rank36Daichi KamadaPKJapanPosMFFormCoolingTeam outlookR164.5 mpP(scores ≥1)25.2%
Rank37Jürgen LocadiaPKCuraçaoPosFWFormTeam outlookLong shot3.1 mpP(scores ≥1)25.2%
Rank38Luis DíazColombiaPosFWFormRisingTeam outlookTop-85.2 mpP(scores ≥1)24.7%
Rank39Marcel SabitzerPKAustriaPosMFFormCoolingTeam outlookR164.1 mpP(scores ≥1)24.3%
Rank40NeymarBrazilPosFWFormSteadyTeam outlookTop-45.6 mpP(scores ≥1)24.0%
Rank41Lautaro MartínezArgentinaPosFWFormRisingTeam outlookFinal5.8 mpP(scores ≥1)23.3%
Rank42Ermedin DemirovićBosnia and HerzegovinaPosFWFormCoolingTeam outlookKnockout3.6 mpP(scores ≥1)22.8%
Rank43Boulaye DiaPKSenegalPosFWFormSteadyTeam outlookR164.5 mpP(scores ≥1)22.7%
Rank44Memphis DepayPKNetherlandsPosFWFormCoolingTeam outlookTop-85.0 mpP(scores ≥1)22.7%
Rank45Bamba DiengSenegalPosFWFormCoolingTeam outlookR164.5 mpP(scores ≥1)21.8%
Rank46Lamine YamalSpainPosFWFormRisingTeam outlookFinal5.9 mpP(scores ≥1)21.7%
Rank47Darwin NúñezUruguayPosFWFormRisingTeam outlookR164.8 mpP(scores ≥1)21.5%
Rank48Cody GakpoNetherlandsPosFWFormCoolingTeam outlookTop-85.0 mpP(scores ≥1)21.4%
Rank49Patrik SchickCzech RepublicPosFWFormSteadyTeam outlookR164.1 mpP(scores ≥1)21.4%
Rank50Bradley BarcolaFrancePosFWFormSteadyTeam outlookTop-45.6 mpP(scores ≥1)20.5%
How to read this table4 columns explained
Pos
Broad position bucket — GK / DF / MF / FW.
Form
Current-form momentum: the player's most recent full club season vs their own multi-season baseline (Rising / Steady / Cooling). Big-5 club data only, so it's blank for players without recent top-five-league history.
Team outlook
Contender tier — the deepest bracket stage the player's team has at least a 25% chance to reach — plus the team's expected number of WC matches. Drives the per-player total: a player on a deeper-running team gets more shots at scoring.
P(scores ≥1)
Total probability the player scores at least one goal across their team's WC matches. Derived from npxG/90, expected minutes, team xG share, opponent defence, and the team's expected match count.

Cada fila muestra la probabilidad de marcar ≥1 en el torneo, junto con la perspectiva de la selección (nivel de candidatura y partidos esperados).

Por selección

Cada tarjeta muestra al jugador mejor clasificado de la selección por P(marca ≥1). Haz clic para ver la lista completa por selección.

Qué es esto. v0 of the per-player tournament-scorer model. npxG/90 from each player's most recent ≥500-minute Big-5 season; E[minutes] is a two-state mixture of starter (75 min) and substitute (20 min) weighted by caps relative to the team's last-2-year fixture count; team_xG_share is position-weighted within a notional 4-3-3 (FW 4× / MF 2× / DF 1× / GK 0); opp_def_factor is the team-average xG-against multiplier across the other 47 WC nations; E[matches] is the team's expected number of WC matches from the bracket Monte Carlo. Known v0 simplifications: no penalty-taker designation, no set-piece-taker bonus, no fatigue / rotation, constant within-position xG share. See /docs/methodology/ for the full write-up.

Qué no es esto. Esta página publica un resultado del modelo como probabilidad. No es una recomendación, no es un pronóstico de ningún partido concreto ni una guía para ningún producto comercial. Consulta /docs/ para el marco de investigación del proyecto.

Goleadores del torneo · onthepitch