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

Tournament scorers · South Africa

Snapshot · 2026-05-29

South Africa — P(scores ≥1 goal)

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

65 players in the pool

Rank1Evidence MakgopaPosFWFormCoolingTeam outlookKnockout3.4 mpP(scores ≥1)12.3%
Rank2Oswin AppollisPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)12.3%
Rank3Thapelo MorenaPosFWFormSteadyTeam outlookKnockout3.4 mpP(scores ≥1)12.3%
Rank4Bongokuhle HlongwanePosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)10.8%
Rank5Lyle FosterPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)10.1%
Rank6Iqraam RaynersPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)8.5%
Rank7Elias MokwanaPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)7.8%
Rank8Mohau NkotaPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)7.0%
Rank9Tshepang MoremiPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)7.0%
Rank10Mihlali MayambelaPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)6.9%
Rank11Relebohile MofokengPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)6.9%
Rank12Thapelo MasekoPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)6.9%
Rank13Patrick MaswanganyiPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)5.4%
Rank14Kamogelo SebelebelePosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)4.2%
Rank15Yanela MbuthumaPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)3.8%
Rank16Ashley CupidoPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)3.4%
Rank17Keletso MakgalwaPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)3.4%
Rank18Puso DithejanePosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)3.4%
Rank19Shandre CampbellPosFWFormTeam outlookKnockout3.4 mpP(scores ≥1)3.4%
Rank20Teboho MokoenaPosMFFormCoolingTeam outlookKnockout3.4 mpP(scores ≥1)2.2%
Rank21Themba ZwanePosMFFormRisingTeam outlookKnockout3.4 mpP(scores ≥1)2.0%
Rank22Yaya SitholePosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)2.0%
Rank23Lebohang MaboePosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)1.8%
Rank24Bathusi AubaasPosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)1.7%
Rank25Thalente MbathaPosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)1.6%
Rank26Luke Le RouxPosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)1.2%
Rank27Sipho MbulePosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)1.1%
Rank28Jayden AdamsPosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)1.0%
Rank29Sinoxolo KwayibaPosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.9%
Rank30Simphiwe SelepePosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.7%
Rank31Mduduzi ShabalalaPosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.7%
Rank32Ndamulelo MaphangulePosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.7%
Rank33Brooklyn PoggenpoelPosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.6%
Rank34Masindi NemtajelaPosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.6%
Rank35Mthetheleli MthiyanePosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.6%
Rank36Siphesihle MkhizePosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.6%
Rank37Sphesihle MadunaPosMFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.6%
Rank38Aubrey ModibaPosDFFormSteadyTeam outlookKnockout3.4 mpP(scores ≥1)0.5%
Rank39Nkosinathi SibisiPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.5%
Rank40Siyabonga NgezanaPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.4%
Rank41Mbekezeli MbokaziPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.3%
Rank42Ime OkonPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.3%
Rank43Nyiko MobbiePosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.3%
Rank44Khuliso MudauPosDFFormSteadyTeam outlookKnockout3.4 mpP(scores ≥1)0.3%
Rank45Khulumani NdamanePosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.2%
Rank46Samukele KabiniPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.2%
Rank47Fawaaz BasadienPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.2%
Rank48Malibongwe KhozaPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.2%
Rank49Deano van RooyenPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.2%
Rank50Thabang MatuludiPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.2%
Rank51Thabiso MonyanePosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.2%
Rank52Thabo MoloisanePosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.2%
Rank53Tylon SmithPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.2%
Rank54Zuko MdunyelwaPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.2%
Rank55Bradley CrossPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.1%
Rank56Fezile GcabaPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.1%
Rank57Keegan AllanPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.1%
Rank58Olwethu MakhanyaPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.1%
Rank59Vuyo LetlapaPosDFFormTeam outlookKnockout3.4 mpP(scores ≥1)0.1%
Rank60Brandon PetersenPosGKFormTeam outlookKnockout3.4 mpP(scores ≥1)0.0%
Rank61Darren JohnsonPosGKFormTeam outlookKnockout3.4 mpP(scores ≥1)0.0%
Rank62Renaldo LeanerPosGKFormTeam outlookKnockout3.4 mpP(scores ≥1)0.0%
Rank63Ricardo GossPosGKFormTeam outlookKnockout3.4 mpP(scores ≥1)0.0%
Rank64Ronwen WilliamsPosGKFormCoolingTeam outlookKnockout3.4 mpP(scores ≥1)0.0%
Rank65Sipho ChainePosGKFormTeam outlookKnockout3.4 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.