Tournament scorers · France

Snapshot · 2026-06-23Model 1.0.0

FranceP(scores ≥1 goal)

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

40 players in the pool

Rank1Marcus ThuramPKPosFWFormRisingTeam outlookTop-45.5 mpP(scores ≥1)40.5%
Rank2Kylian MbappéPosFWFormRisingTeam outlookTop-45.5 mpP(scores ≥1)23.9%
Rank3Bradley BarcolaPosFWFormSteadyTeam outlookTop-45.5 mpP(scores ≥1)19.8%
Rank4Michael OlisePosFWFormRisingTeam outlookTop-45.5 mpP(scores ≥1)15.3%
Rank5Ousmane DembéléPosFWFormRisingTeam outlookTop-45.5 mpP(scores ≥1)14.3%
Rank6Désiré DouéPosFWFormRisingTeam outlookTop-45.5 mpP(scores ≥1)11.2%
Rank7Jean-Philippe MatetaPosFWFormSteadyTeam outlookTop-45.5 mpP(scores ≥1)9.3%
Rank8Christopher NkunkuPosFWFormTeam outlookTop-45.5 mpP(scores ≥1)9.0%
Rank9Hugo EkitikePosFWFormCoolingTeam outlookTop-45.5 mpP(scores ≥1)8.8%
Rank10Kingsley ComanPosFWFormTeam outlookTop-45.5 mpP(scores ≥1)7.7%
Rank11Florian ThauvinPosFWFormRisingTeam outlookTop-45.5 mpP(scores ≥1)7.0%
Rank12Maghnes AkliouchePosFWFormCoolingTeam outlookTop-45.5 mpP(scores ≥1)6.1%
Rank13Randal Kolo MuaniPosFWFormCoolingTeam outlookTop-45.5 mpP(scores ≥1)5.7%
Rank14Rayan CherkiPosFWFormTeam outlookTop-45.5 mpP(scores ≥1)4.8%
Rank15Adrien RabiotPosMFFormSteadyTeam outlookTop-45.5 mpP(scores ≥1)2.8%
Rank16Aurélien TchouaméniPosMFFormSteadyTeam outlookTop-45.5 mpP(scores ≥1)2.2%
Rank17N'Golo KantéPosMFFormTeam outlookTop-45.5 mpP(scores ≥1)1.6%
Rank18Manu KonéPosMFFormTeam outlookTop-45.5 mpP(scores ≥1)1.6%
Rank19Eduardo CamavingaPosMFFormSteadyTeam outlookTop-45.5 mpP(scores ≥1)1.4%
Rank20Mattéo GuendouziPosMFFormCoolingTeam outlookTop-45.5 mpP(scores ≥1)1.2%
Rank21Warren Zaïre-EmeryPosMFFormRisingTeam outlookTop-45.5 mpP(scores ≥1)1.1%
Rank22Khéphren ThuramPosMFFormTeam outlookTop-45.5 mpP(scores ≥1)1.0%
Rank23Théo HernandezPosDFFormSteadyTeam outlookTop-45.5 mpP(scores ≥1)1.0%
Rank24Jules KoundéPosDFFormCoolingTeam outlookTop-45.5 mpP(scores ≥1)0.7%
Rank25Maxence LacroixPosDFFormRisingTeam outlookTop-45.5 mpP(scores ≥1)0.4%
Rank26Pierre KaluluPosDFFormTeam outlookTop-45.5 mpP(scores ≥1)0.4%
Rank27Lucas DignePosDFFormCoolingTeam outlookTop-45.5 mpP(scores ≥1)0.4%
Rank28Malo GustoPosDFFormRisingTeam outlookTop-45.5 mpP(scores ≥1)0.4%
Rank29Ibrahima KonatéPosDFFormRisingTeam outlookTop-45.5 mpP(scores ≥1)0.3%
Rank30Loïc BadéPosDFFormCoolingTeam outlookTop-45.5 mpP(scores ≥1)0.3%
Rank31Lucas HernandezPosDFFormSteadyTeam outlookTop-45.5 mpP(scores ≥1)0.3%
Rank32Benjamin PavardPosDFFormRisingTeam outlookTop-45.5 mpP(scores ≥1)0.2%
Rank33William SalibaPosDFFormCoolingTeam outlookTop-45.5 mpP(scores ≥1)0.2%
Rank34Dayot UpamecanoPosDFFormRisingTeam outlookTop-45.5 mpP(scores ≥1)0.1%
Rank35Clément LengletPosDFFormCoolingTeam outlookTop-45.5 mpP(scores ≥1)0.1%
Rank36Alphonse AreolaPosGKFormCoolingTeam outlookTop-45.5 mpP(scores ≥1)0.0%
Rank37Brice SambaPosGKFormSteadyTeam outlookTop-45.5 mpP(scores ≥1)0.0%
Rank38Lucas ChevalierPosGKFormCoolingTeam outlookTop-45.5 mpP(scores ≥1)0.0%
Rank39Mike MaignanPosGKFormRisingTeam outlookTop-45.5 mpP(scores ≥1)0.0%
Rank40Robin RisserPosGKFormTeam outlookTop-45.5 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.