Group
Finish probabilities
1st 100.0%
2nd 0%
3rd place 0% Qualified from 3rd 0% Eliminated in 3rd 0%
4th 0%
Group J
Argentina
World champions, and they know it. The squad is built around Messi at what is almost certainly his final World Cup, which adds a layer of narrative pressure no other team carries. Clinical on the counter, experienced in the big moment, and capable of winning ugly when needed. The defense has aged visibly, but Argentina has always found a way.
This profile summarizes Argentina'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 20.7%
Group qualification 100%
Squad market €816.5m
Avg age 29.1
Avg height 1.793m
Manager Lionel Scaloni
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.
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 Argentina'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
R32 100%
R16 100%
QF 100%
SF 100%
Final 52.4%
Champion 20.7%
Conditional path
Path by group finish
| Finish | Sample | R32 | R16 | QF | SF | Final | Champion |
|---|---|---|---|---|---|---|---|
| 1st | 100.0% | 100% | 100% | 100% | 100% | 52.4% | 20.7% |
| 2nd | No longer possible | — | — | — | — | — | — |
| 3rd | No longer possible | — | — | — | — | — | — |
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
Cape Verde If reached: 100.0% All sims: 100.0% Matchup win rate: 100.0% R16
Egypt If reached: 100.0% All sims: 100.0% Matchup win rate: 100.0% QF
Switzerland If reached: 100.0% All sims: 100.0% Matchup win rate: 100.0% SF
England If reached: 100.0% All sims: 100.0% Matchup win rate: 52.4% Final
Spain If reached: 100.0% All sims: 52.4% Matchup win rate: 39.6% Finish 1st
Argentina 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
Cape Verde If reached: 100.0% Path sims: 100.0% Matchup win rate: 100.0% R16
Egypt If reached: 100.0% Path sims: 100.0% Matchup win rate: 100.0% QF
Switzerland If reached: 100.0% Path sims: 100.0% Matchup win rate: 100.0% SF
England If reached: 100.0% Path sims: 100.0% Matchup win rate: 52.4% Final
Spain If reached: 100.0% Path sims: 52.4% Matchup win rate: 39.6% Finish 2nd
Argentina 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
Argentina 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
No longer possible
R16
No longer possible
QF
No longer possible
SF
No longer possible
Final
No longer possible
Squad
Current squad
| Pos | Player | Age | Height | Club | Market |
|---|---|---|---|---|---|
| GK | Emiliano Martínez | 33 | 1,95m | Aston Villa | €15.0m |
| GK | Gerónimo Rulli | 34 | 1,89m | Olympique Marseille | €8.0m |
| GK | Juan Musso | 32 | 1,91m | Atlético de Madrid | €3.0m |
| CB | Cristian Romero | 28 | 1,85m | Tottenham Hotspur | €50.0m |
| CB | Lisandro Martínez | 28 | 1,75m | Manchester United | €40.0m |
| CB | Facundo Medina | 27 | 1,84m | Olympique Marseille | €18.0m |
| CB | Leonardo Balerdi | 27 | 1,87m | Olympique Marseille | €18.0m |
| CB | Nicolás Otamendi | 38 | 1,83m | SL Benfica | €1.0m |
| LB | Nicolás Tagliafico | 33 | 1,71m | Olympique Lyon | €5.0m |
| RB | Nahuel Molina | 28 | 1,75m | Atlético de Madrid | €15.0m |
| RB | Gonzalo Montiel | 29 | 1,75m | CA River Plate | €4.5m |
| DM | Leandro Paredes | 31 | 1,80m | CA Boca Juniors | €5.0m |
| CM | Enzo Fernández | 25 | 1,78m | Chelsea FC | €90.0m |
| CM | Alexis Mac Allister | 27 | 1,76m | Liverpool FC | €80.0m |
| CM | Valentín Barco | 21 | 1,70m | RC Strasbourg Alsace | €35.0m |
| CM | Exequiel Palacios | 28 | 1,78m | Bayer 04 Leverkusen | €25.0m |
| CM | Rodrigo De Paul | 32 | 1,80m | Inter Miami CF | €15.0m |
| AM | Nico Paz | 21 | 1,86m | Como 1907 | €80.0m |
| AM | Giovani Lo Celso | 30 | 1,77m | Real Betis Balompié | €10.0m |
| LW | Nico González | 28 | 1,80m | Atlético de Madrid | €24.0m |
| LW | Thiago Almada | 25 | 1,71m | Atlético de Madrid | €20.0m |
| RW | Giuliano Simeone | 23 | 1,73m | Atlético de Madrid | €40.0m |
| RW | Lionel Messi | 38 | 1,70m | Inter Miami CF | €15.0m |
| CF | Julián Álvarez | 26 | 1,70m | Atlético de Madrid | €90.0m |
| CF | Lautaro Martínez | 28 | 1,74m | Inter Milan | €85.0m |
| CF | José Manuel López | 26 | 1,90m | SE Palmeiras | €25.0m |
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.