Tournament scorers · Argentina

Snapshot · 2026-06-23Model 1.0.0

ArgentinaP(scores ≥1 goal)

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

65 players in the pool

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.

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.