Group
Group K
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.
Forecast as of Updated 2026-07-15 10:47 UTC, based on 10k current-state simulations. Tournament-wide official results included at that time stay fixed. These are saved model forecasts, not the team's actual final finish.
Tournament-wide result cutoff: 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.
Other forecast pages may show a different saved date. The interactive replay simulator is separate: changing Team Strength settings creates alternative scenarios without changing this saved forecast.
Tournament
Stage reach probabilities
Conditional path
Path by group finish
| Finish | Sample | R32 | R16 | QF | SF | Final | Champion |
|---|---|---|---|---|---|---|---|
| 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
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
R16
Not enough samples.
QF
Not enough samples.
SF
Not enough samples.
Final
Not enough samples.
Squad
Current squad
| 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.