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

Tournament scorers · Spain

Snapshot · 2026-05-29

Spain — P(scores ≥1 goal)

Every player in Spain's current call-up pool, ranked by the model's probability that they score at least one goal across the matches Spain plays at the 2026 World Cup. See /scorers/ for the global top 50 and /countries/esp/ for the predicted squad and probable XI.

44 players in the pool

Rank1Mikel OyarzabalPKPosFWFormRisingTeam outlookFinal5.9 mpP(scores ≥1)46.0%
Rank2Ferran TorresPosFWFormRisingTeam outlookFinal5.9 mpP(scores ≥1)30.9%
Rank3Lamine YamalPosFWFormRisingTeam outlookFinal5.9 mpP(scores ≥1)21.7%
Rank4Álvaro MorataPosFWFormTeam outlookFinal5.9 mpP(scores ≥1)18.0%
Rank5Borja IglesiasPosFWFormSteadyTeam outlookFinal5.9 mpP(scores ≥1)13.4%
Rank6Nico WilliamsPosFWFormSteadyTeam outlookFinal5.9 mpP(scores ≥1)13.3%
Rank7Yéremy PinoPosFWFormTeam outlookFinal5.9 mpP(scores ≥1)11.4%
Rank8Álex BaenaPosFWFormCoolingTeam outlookFinal5.9 mpP(scores ≥1)11.3%
Rank9Mikel MerinoPosMFFormRisingTeam outlookFinal5.9 mpP(scores ≥1)10.2%
Rank10Dani OlmoPosMFFormRisingTeam outlookFinal5.9 mpP(scores ≥1)9.2%
Rank11Víctor MuñozPosFWFormTeam outlookFinal5.9 mpP(scores ≥1)8.5%
Rank12Jesús RodríguezPosFWFormTeam outlookFinal5.9 mpP(scores ≥1)7.8%
Rank13Samu AghehowaPosFWFormTeam outlookFinal5.9 mpP(scores ≥1)7.1%
Rank14RodriPosMFFormCoolingTeam outlookFinal5.9 mpP(scores ≥1)6.6%
Rank15Jorge de FrutosPosFWFormRisingTeam outlookFinal5.9 mpP(scores ≥1)6.5%
Rank16Fermín LópezPosMFFormTeam outlookFinal5.9 mpP(scores ≥1)6.1%
Rank17Ander BarrenetxeaPosFWFormTeam outlookFinal5.9 mpP(scores ≥1)4.8%
Rank18IscoPosMFFormRisingTeam outlookFinal5.9 mpP(scores ≥1)3.3%
Rank19Martín ZubimendiPosMFFormSteadyTeam outlookFinal5.9 mpP(scores ≥1)3.1%
Rank20Fabián RuizPosMFFormTeam outlookFinal5.9 mpP(scores ≥1)3.0%
Rank21PedriPosMFFormRisingTeam outlookFinal5.9 mpP(scores ≥1)2.5%
Rank22Carlos SolerPosMFFormSteadyTeam outlookFinal5.9 mpP(scores ≥1)2.0%
Rank23Aymeric LaportePosDFFormCoolingTeam outlookFinal5.9 mpP(scores ≥1)1.8%
Rank24Pablo BarriosPosMFFormTeam outlookFinal5.9 mpP(scores ≥1)1.6%
Rank25Pablo FornalsPosMFFormRisingTeam outlookFinal5.9 mpP(scores ≥1)1.6%
Rank26Aleix GarcíaPosMFFormRisingTeam outlookFinal5.9 mpP(scores ≥1)1.5%
Rank27Marc CucurellaPosDFFormSteadyTeam outlookFinal5.9 mpP(scores ≥1)1.3%
Rank28Álex GrimaldoPosDFFormSteadyTeam outlookFinal5.9 mpP(scores ≥1)1.2%
Rank29GaviPosMFFormTeam outlookFinal5.9 mpP(scores ≥1)1.2%
Rank30Pedro PorroPosDFFormSteadyTeam outlookFinal5.9 mpP(scores ≥1)1.0%
Rank31Eric GarcíaPosDFFormRisingTeam outlookFinal5.9 mpP(scores ≥1)0.9%
Rank32Dani VivianPosDFFormSteadyTeam outlookFinal5.9 mpP(scores ≥1)0.7%
Rank33Robin Le NormandPosDFFormCoolingTeam outlookFinal5.9 mpP(scores ≥1)0.6%
Rank34Óscar MinguezaPosDFFormCoolingTeam outlookFinal5.9 mpP(scores ≥1)0.6%
Rank35Marcos LlorentePosDFFormCoolingTeam outlookFinal5.9 mpP(scores ≥1)0.3%
Rank36Dean HuijsenPosDFFormTeam outlookFinal5.9 mpP(scores ≥1)0.3%
Rank37Marc PubillPosDFFormTeam outlookFinal5.9 mpP(scores ≥1)0.3%
Rank38Pau CubarsíPosDFFormRisingTeam outlookFinal5.9 mpP(scores ≥1)0.3%
Rank39Dani CarvajalPosDFFormTeam outlookFinal5.9 mpP(scores ≥1)0.2%
Rank40Cristhian MosqueraPosDFFormSteadyTeam outlookFinal5.9 mpP(scores ≥1)0.1%
Rank41Álex RemiroPosGKFormTeam outlookFinal5.9 mpP(scores ≥1)0.0%
Rank42David RayaPosGKFormRisingTeam outlookFinal5.9 mpP(scores ≥1)0.0%
Rank43Joan GarciaPosGKFormCoolingTeam outlookFinal5.9 mpP(scores ≥1)0.0%
Rank44Unai SimónPosGKFormRisingTeam outlookFinal5.9 mpP(scores ≥1)0.0%
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.

Full definitions in the glossary.

How this is computed. 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.