Artilheiros do torneio · Argentina

Snapshot · 2026-06-23Model 1.0.0

ArgentinaP(marca 1 ou mais gols)

Todos os jogadores no grupo de convocáveis de Argentina, ordenados pela probabilidade do modelo de que marquem pelo menos um gol nos jogos de Argentina na Copa do Mundo 2026. Veja /scorers/ para o top 50 global e /countries/arg/ para o elenco previsto e o provável XI.

65 jogadores no grupo

Rank1Lionel MessiPKPosFWFormSteadyTeam outlookFinal5.7 mpP(scores ≥1)46.4%
Rank2Lautaro MartínezPosFWFormRisingTeam outlookFinal5.7 mpP(scores ≥1)28.9%
Rank3Nicolás GonzálezPosFWFormCoolingTeam outlookFinal5.7 mpP(scores ≥1)23.1%
Rank4Julián AlvarezPosFWFormCoolingTeam outlookFinal5.7 mpP(scores ≥1)16.0%
Rank5Ángel CorreaPosFWFormTeam outlookFinal5.7 mpP(scores ≥1)15.2%
Rank6Giuliano SimeonePosFWFormRisingTeam outlookFinal5.7 mpP(scores ≥1)8.3%
Rank7Alejandro GarnachoPosFWFormSteadyTeam outlookFinal5.7 mpP(scores ≥1)7.9%
Rank8Joaquín PanichelliPosFWFormTeam outlookFinal5.7 mpP(scores ≥1)7.4%
Rank9José Manuel LópezPosFWFormTeam outlookFinal5.7 mpP(scores ≥1)7.4%
Rank10Franco MastantuonoPosFWFormTeam outlookFinal5.7 mpP(scores ≥1)7.1%
Rank11Enzo FernándezPosMFFormRisingTeam outlookFinal5.7 mpP(scores ≥1)7.0%
Rank12Gianluca PrestianniPosFWFormTeam outlookFinal5.7 mpP(scores ≥1)6.4%
Rank13Claudio EcheverriPosFWFormTeam outlookFinal5.7 mpP(scores ≥1)5.8%
Rank14Mateo PellegrinoPosFWFormTeam outlookFinal5.7 mpP(scores ≥1)5.8%
Rank15Matías SouléPosFWFormTeam outlookFinal5.7 mpP(scores ≥1)5.8%
Rank16Santiago CastroPosFWFormTeam outlookFinal5.7 mpP(scores ≥1)5.8%
Rank17Tomás ArandaPosFWFormTeam outlookFinal5.7 mpP(scores ≥1)5.8%
Rank18Giovani Lo CelsoPosMFFormRisingTeam outlookFinal5.7 mpP(scores ≥1)4.3%
Rank19Valentín CarboniPosFWFormTeam outlookFinal5.7 mpP(scores ≥1)4.0%
Rank20Alexis Mac AllisterPosMFFormCoolingTeam outlookFinal5.7 mpP(scores ≥1)3.8%
Rank21Nicolás DomínguezPosMFFormCoolingTeam outlookFinal5.7 mpP(scores ≥1)2.4%
Rank22Leandro ParedesPosMFFormCoolingTeam outlookFinal5.7 mpP(scores ≥1)2.4%
Rank23Emiliano BuendíaPosMFFormCoolingTeam outlookFinal5.7 mpP(scores ≥1)2.2%
Rank24Rodrigo De PaulPosMFFormSteadyTeam outlookFinal5.7 mpP(scores ≥1)2.1%
Rank25Thiago AlmadaPosMFFormTeam outlookFinal5.7 mpP(scores ≥1)1.7%
Rank26Nico PazPosMFFormTeam outlookFinal5.7 mpP(scores ≥1)1.6%
Rank27Nicolás TagliaficoPosDFFormCoolingTeam outlookFinal5.7 mpP(scores ≥1)1.3%
Rank28Exequiel PalaciosPosMFFormTeam outlookFinal5.7 mpP(scores ≥1)1.3%
Rank29Máximo PerronePosMFFormTeam outlookFinal5.7 mpP(scores ≥1)1.2%
Rank30Nicolás OtamendiPosDFFormSteadyTeam outlookFinal5.7 mpP(scores ≥1)1.2%
Rank31Aníbal MorenoPosMFFormTeam outlookFinal5.7 mpP(scores ≥1)1.1%
Rank32Cristian RomeroPosDFFormCoolingTeam outlookFinal5.7 mpP(scores ≥1)1.0%
Rank33Alan VarelaPosMFFormTeam outlookFinal5.7 mpP(scores ≥1)1.0%
Rank34Enzo BarrenecheaPosMFFormTeam outlookFinal5.7 mpP(scores ≥1)1.0%
Rank35Equi FernándezPosMFFormTeam outlookFinal5.7 mpP(scores ≥1)1.0%
Rank36Milton DelgadoPosMFFormTeam outlookFinal5.7 mpP(scores ≥1)1.0%
Rank37Guido RodríguezPosMFFormTeam outlookFinal5.7 mpP(scores ≥1)0.9%
Rank38Nahuel MolinaPosDFFormCoolingTeam outlookFinal5.7 mpP(scores ≥1)0.8%
Rank39Leonardo BalerdiPosDFFormSteadyTeam outlookFinal5.7 mpP(scores ≥1)0.8%
Rank40Valentín BarcoPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.7%
Rank41Lucas Martínez QuartaPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.6%
Rank42Germán PezzellaPosDFFormSteadyTeam outlookFinal5.7 mpP(scores ≥1)0.4%
Rank43Marcos AcuñaPosDFFormCoolingTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank44Gonzalo MontielPosDFFormSteadyTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank45Agustín GiayPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank46Gabriel RojasPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank47Kevin Mac AllisterPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank48Lautaro RiveroPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank49Nicolás CapaldoPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank50Julio SolerPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank51Kevin LomónacoPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank52Lautaro Di LolloPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank53Marcos SenesiPosDFFormRisingTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank54Mariano TroiloPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank55Tomás PalaciosPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank56Zaid RomeroPosDFFormTeam outlookFinal5.7 mpP(scores ≥1)0.3%
Rank57Lisandro MartínezPosDFFormRisingTeam outlookFinal5.7 mpP(scores ≥1)0.2%
Rank58Facundo MedinaPosDFFormSteadyTeam outlookFinal5.7 mpP(scores ≥1)0.1%
Rank59Juan FoythPosDFFormCoolingTeam outlookFinal5.7 mpP(scores ≥1)0.1%
Rank60Emiliano MartínezPosGKFormSteadyTeam outlookFinal5.7 mpP(scores ≥1)0.0%
Rank61Facundo CambesesPosGKFormTeam outlookFinal5.7 mpP(scores ≥1)0.0%
Rank62Gerónimo RulliPosGKFormSteadyTeam outlookFinal5.7 mpP(scores ≥1)0.0%
Rank63Juan MussoPosGKFormTeam outlookFinal5.7 mpP(scores ≥1)0.0%
Rank64Santiago BeltránPosGKFormTeam outlookFinal5.7 mpP(scores ≥1)0.0%
Rank65Walter BenítezPosGKFormTeam outlookFinal5.7 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.

Como isso é calculado. 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.