Group K

DR Congo DR Congo

Raw athletic potential in abundance: pace, physicality, and genuine attacking threat up front. The infrastructure around the team has never matched the talent pool, which is a recurring story. Tactically inconsistent and prone to defensive errors, but on the right day against the right opponent they are genuinely dangerous.

This profile summarizes DR Congo's World Cup 2026 simulation path from the latest current-state snapshot: group outlook, finish distribution, possible knockout routes, opponent pools, squad context, and title chances.

Champion 0%
Group qualification 100%
Squad market €147.1m
Avg age 29.1
Avg height 1.818m
Manager Sébastien Desabre
Current-state snapshot

This profile is based on 10k current-state simulations using the WC26 simulator engine. The numbers are a model snapshot, not a guarantee. Team ratings, squads and injury updates may change over time.

10k current-state simulations

Latest result included: France 0-2 Spain

Guide

How to read this team profile

Group finish and stage reach values are model outputs from the latest current-state team profile snapshot. Path sections show how DR Congo's route changes by group finish, while opponent pools summarize the teams most often appearing in each round.

This page uses Knockout-phase current-state snapshot using latest committed Match Updates, official locked results, current ratings, and fixed knockout bracket state as of 15 Jul 2026 1:47 PM UTC+3. Other public forecast pages may still use root compatibility datasets until they are updated separately, and custom Team Strength settings can change future tournament paths in the live simulator.

Group

Finish probabilities

1st 0%
2nd 0%
3rd place 100.0% Qualified from 3rd 100.0% Eliminated in 3rd 0%
4th 0%

Tournament

Stage reach probabilities

R32 100%
R16 0%
QF 0%
SF 0%
Final 0%
Champion 0%

Conditional path

Path by group finish

Finish Sample R32R16QFSFFinalChampion
1st No longer possible
2nd No longer possible
3rd 100.0% 100%0%0%0%0%0%

Overall opponent pool

Most common opponents by round

If reached shows the opponent split among this team's matches in that round. All sims shows how often the matchup happens across the latest current-state snapshot.

R32

England England If reached: 100.0% All sims: 100.0% Matchup win rate: 0%

R16

No opponent samples.

QF

No opponent samples.

SF

No opponent samples.

Final

No opponent samples.

Finish 1st

DR Congo opponent pool if finishing 1st

For group-finish paths, If reached is measured within that finish path and round. Path sims shows how often the matchup happens among simulations where the team finished in that position.

R32

No longer possible

R16

No longer possible

QF

No longer possible

SF

No longer possible

Final

No longer possible

Finish 2nd

DR Congo opponent pool if finishing 2nd

For group-finish paths, If reached is measured within that finish path and round. Path sims shows how often the matchup happens among simulations where the team finished in that position.

R32

No longer possible

R16

No longer possible

QF

No longer possible

SF

No longer possible

Final

No longer possible

Finish 3rd

DR Congo opponent pool if finishing 3rd

For group-finish paths, If reached is measured within that finish path and round. Path sims shows how often the matchup happens among simulations where the team finished in that position.

R32

England England If reached: 100.0% Path sims: 100.0% Matchup win rate: 0%

R16

Not enough samples.

QF

Not enough samples.

SF

Not enough samples.

Final

Not enough samples.

Squad

Current squad

26 players
Pos Player Age Height Club Market
GK Matthieu Epolo 21 1,89m Standard Liège €5.0m
GK Timothy Fayulu 26 1,92m FC Noah Yerevan €800k
GK Lionel Mpasi-Nzau 31 1,82m Le Havre AC €400k
CB Axel Tuanzebe 28 1,85m Burnley FC €5.0m
CB Chancel Mbemba 31 1,82m LOSC Lille €2.5m
CB Steve Kapuadi 28 1,96m Widzew Lodz €2.5m
CB Dylan Batubinsika 30 1,88m AE Larisa €700k
LB Arthur Masuaku 32 1,79m RC Lens €2.5m
LB Joris Kayembe 31 1,81m KRC Genk €2.5m
RB Aaron Wan-Bissaka 28 1,83m West Ham United €22.0m
RB Gédéon Kalulu 28 1,79m Aris Limassol €1.3m
DM Ngal'ayel Mukau 22 1,86m LOSC Lille €12.0m
DM Charles Pickel 29 1,87m RCD Espanyol Barcelona €2.5m
CM Noah Sadiki 21 1,73m Sunderland AFC €30.0m
CM Edo Kayembe 28 1,83m Watford FC €4.0m
CM Samuel Moutoussamy 29 1,76m Atromitos Athens €1.2m
CM Aaron Tshibola 31 1,90m Kilmarnock FC €150k
AM Meschack Elia 28 1,73m Alanyaspor €1.5m
AM Gaël Kakuta 34 1,73m AE Larisa €300k
LW Nathanaël Mbuku 24 1,70m Montpellier HSC €2.0m
LW Brian Cipenga 28 1,72m CD Castellón €2.0m
RW Théo Bongonda 30 1,75m Spartak Moscow €3.0m
CF Yoane Wissa 29 1,76m Newcastle United €30.0m
CF Simon Banza 29 1,89m Al-Jazira Club €10.0m
CF Fiston Mayele 31 1,85m Pyramids FC €1.8m
CF Cédric Bakambu 35 1,82m Real Betis Balompié €1.4m

Important note: This simulator and its probability outputs are for entertainment and informational purposes only. They are not investment advice, financial advice, or a recommendation to buy, sell, trade, or participate in any prediction market. No real-money contest is offered or accepted on baplab.