Group
Group I
Senegal
Post-Mané Senegal is still finding its identity, which is both honest and slightly unfair to Diatta, Dia, and a squad with genuine quality. Physically imposing, defensively organized, and dangerous in transition. The creative spark that Mané provided in his prime has not been fully replaced. Still one of Africa's strongest sides.
This profile summarizes Senegal'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.
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.
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 Senegal'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.
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
Senegal 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
Senegal 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
Senegal 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 | Yehvann Diouf | 26 | 1,88m | OGC Nice | €7.0m |
| GK | Edouard Mendy | 34 | 1,94m | Al-Ahli SFC | €4.5m |
| GK | Mory Diaw | 32 | 1,97m | Le Havre AC | €900k |
| CB | Mamadou Sarr | 20 | 1,94m | Chelsea FC | €25.0m |
| CB | Moussa Niakhaté | 30 | 1,90m | Olympique Lyon | €15.0m |
| CB | Antoine Mendy | 22 | 1,87m | OGC Nice | €10.0m |
| CB | Moustapha Mbow | 26 | 1,85m | Paris FC | €9.0m |
| CB | Kalidou Koulibaly | 34 | 1,86m | Al-Hilal SFC | €5.0m |
| LB | El Hadji Malick Diouf | 21 | 1,83m | West Ham United | €28.0m |
| LB | Ismail Jakobs | 26 | 1,84m | Galatasaray | €8.0m |
| RB | Ilay Camara | 23 | 1,80m | RSC Anderlecht | €4.0m |
| DM | Idrissa Gueye | 36 | 1,74m | Everton FC | €1.0m |
| CM | Pape Gueye | 27 | 1,89m | Villarreal CF | €40.0m |
| CM | Lamine Camara | 22 | 1,73m | AS Monaco | €40.0m |
| CM | Pape Matar Sarr | 23 | 1,84m | Tottenham Hotspur | €32.0m |
| CM | Habib Diarra | 22 | 1,78m | Sunderland AFC | €32.0m |
| CM | Bara Sapoko Ndiaye | 18 | 1,83m | Bayern Munich | €4.0m |
| RM | Krépin Diatta | 27 | 1,75m | AS Monaco | €6.0m |
| LW | Assane Diao | 20 | 1,85m | Como 1907 | €30.0m |
| LW | Sadio Mané | 34 | 1,75m | Al-Nassr FC | €7.0m |
| RW | Iliman Ndiaye | 26 | 1,80m | Everton FC | €50.0m |
| RW | Ismaïla Sarr | 28 | 1,85m | Crystal Palace | €35.0m |
| RW | Ibrahim Mbaye | 18 | 1,75m | Paris Saint-Germain | €30.0m |
| CF | Nicolas Jackson | 24 | 1,87m | Bayern Munich | €40.0m |
| CF | Bamba Dieng | 26 | 1,78m | FC Lorient | €15.0m |
| CF | Cherif Ndiaye | 30 | 1,90m | Samsunspor | €5.0m |
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.