Argentina
Snapshot · 2026-06-24Model 1.0.0CONMEBOL·Group J·FIFA #2
Possession-dominant side led by Lionel Messi, with Emiliano Martínez in goal and a River Plate-heavy spine.
- Rival
- Austria (#24)
- Key
- Lionel Messi (FW)
Final squad announced · Argentina · 2026-06-03
Source: FotMob ↗WC2026 results
Tournament outlook
Analysis
Argentina enter as defending champions and the model's 1st favourite at 17.3%. The squad bridges generations: Lionel Messi (38 at kickoff with 198 caps — probably his final world cup) alongside Franco Mastantuono, the squad's youngest prospect. Drawn in Group J alongside Austria, Algeria, Jordan, they are projected at 99.2% to advance to the knockout stage.
How they play
Argentina under Lionel Scaloni play a possession dominant game, holding 59% of the ball — among the highest in the tournament field. Their likely shape is a 4-3-3, though they have also used 3-5-2 and 4-4-2. They apply moderate pressing intensity (PPDA 19.1) and build patiently through midfield with 7.8 passes per attacking sequence. They favour high-quality chances (xG/shot 0.163, among the best in the field).
Path to success
Their route begins in Group J with Austria, Algeria, Jordan, where the model projects a 79.6% chance of finishing top and 99.2% of advancing. From there the projected knockout path runs: round of 32 (67.8%), quarter-finals (53.9%), semi-finals (39.0%), the final (26.9%). Maintaining form across seven matches in North American conditions will test squad depth — no team has won consecutive World Cups since Brazil in 1962.
What they must execute
To succeed, Argentina must control tempo and territory in midfield — their possession-dominant approach depends on dictating the rhythm of each match. Managing minutes for Lionel Messi across what could be seven matches will test the coaching staff's rotation planning.
Controversial take
The model rates Argentina significantly higher than their FIFA ranking implies — a gap of 9.1 percentage points. This reflects the model's assessment of underlying squad quality and recent form that the ranking system may lag behind.
Key numbers
How they play
Style vs the 48-team field
Possession-dominant · style profile from 17 recent matches
What to watch: a slower, more circuitous attack.
Percentiles position Argentina against the 48-team field. Higher means more of that trait, not better or worse. Press is inverted (lower PPDA = higher press); width uses crossing rate as a proxy; tempo is open-play passes per minute of possession. Descriptive style analytics; does not feed the published probabilities.
Group J finish · Argentina
Monte Carlo, 100,000 simsTop two advance to the round of 32; best 8 of 12 third-placed teams also qualify.
- 77.3%1st (group winner)Advances to R32
- 17.3%2nd (runner-up)Advances to R32
- 4.7%3rdAdvances only if among the best 8 of 12 third-placed teams
- 0.8%4thEliminated
Stage progression · Argentina
, 100,000 sims- 98.6%AdvAdvance from group
- 67.5%R16Round of 16
- 52.3%QFQuarter-final
- 37.6%SFSemi-final
- 25.5%FFinal
- 16.8%WinWin the tournament
Likely knockout path · Argentina
Monte Carlo, 10,000 simsThe squad
Confirmed squad
Model-predicted · snapshot 2026-05-28Roster confirmed by the federation's official squad announcement. The XI/bench split below is the model's composite-rating ordering, not the head coach's lineup.
★ likely first sub badge on the top-3 by first-sub score within each position group, plus a late-game impact rating where club per-90 stats are available.
▸How to read this squad— 4 columns explained
- Pos
- Broad position bucket — GK / DF / MF / FW.
- Caps
- Senior international appearances. Used by the model as a recency-weighted signal of how often the manager calls the player up.
- Stat
- Position-aware stat: career international goals for forwards; career international assists for midfielders (Transfermarkt); latest available Big-5 club season's total tackles for defenders (FBref); latest available Big-5 club season's save percentage for goalkeepers (FBref). Em-dash when no data is joined — most often for defenders and keepers at non-Big-5 clubs.
- Rating
- Composite rating (Model #4) — combines recent caps + goals, recent club xG and xAG per 90, position-relative quality, and call-up priors. Higher = the model thinks the player is more likely to start. Typically 0.9 (depth) to 2.5 (elite).
Selection driver — coloured chips show which input dominates a player's selection score. Caps-driven = selected mainly on international experience. Rating-driven = selected mainly on club performance quality. Jersey-boosted = jersey number from a recent squad snapshot lifted their score. Goals-driven = international goal record was the decisive factor. No chip when the score is a balanced blend.
Squad cohesion
Projected XI · club overlap
- Pairwise club minutes
- 4.31%
- Share of the 55-pair × 3000-minute ceiling. Higher = more of the XI plays together at club level.
- Club concentration
- 0.180
- How concentrated the XI is across clubs. 0.091 = 11 different clubs · 1.000 = all the same club.
- Top-3 clubs share
- 60%
- 6 of 10 play for the three most common clubs in the XI.
Top clubs in projected XI
- Atletico Madrid3
- Real Betis2
- Aston Villa1
Most-connected club pair
Nahuel Molina + Rodrigo De Paul — Atletico Madrid, 2023-24 · 3,410 shared minutes
Show next 2
- Rodrigo De Paul + Julián Alvarez — Atletico Madrid, 2024-25 · 2,137 min
- Nahuel Molina + Julián Alvarez — Atletico Madrid, 2024-25 · 1,565 min
Descriptive metric — does not feed the published probabilities. Methodology →
Squad depth
Projected XI · replaceability
Most irreplaceable starters
- Giovani Lo CelsoAttacking midfieldLikely cover: no natural backupreplacement-level AM ~0.400.30gap to repl.
- Lautaro MartínezStrikerLikely cover: José Manuel López · 0.67Palmeiras0.30gap to repl.
- Leandro ParedesDefensive midfieldLikely cover: no natural backupreplacement-level DM ~0.250.26gap to repl.
Gap to repl. = how far this nation's rating at the position falls from the starter to his likely in-squad replacement (named above). Larger = harder to replace.
Descriptive metric — does not feed the published probabilities. Methodology →
Group schedule
Group-stage schedule
Head-to-head matchups
Storylines
Storylines
Updated 28 days agoDefending champion — Winner 2022.
38 at kickoff with 198 caps — probably his final World Cup.
Conceded only 0.36 xG per match across 6 recent internationals — #1 of 35 in the field for defensive solidity.
18 at kickoff — 4 caps — projected on the bench, the squad's youngest pick.
Form & track record
Video analysis: Argentina
Performance data from official highlights analysis across 1 match. 4 players observed, 0 events tracked.
Registered one shot on target that was saved, but otherwise had limited impact on the match events.
Player ratings (4)
6Lautaro Martinez1 app6▼
Registered one shot on target that was saved, but otherwise had limited impact on the match events.
6Julian Alvarez1 app6▼
Entered the game as a substitute but had no specific actions mentioned in the match notes.
6Nicolas Gonzalez1 app6▼
Entered the game as a substitute but had no specific actions mentioned in the match notes.
6E. Martinez1 app6▼
Was part of team celebrations and reacted to the opponent's goal, but had no direct on-field actions mentioned.
Statistical profile
Possession DominantAttack
Defence
GK: Emiliano Martínez
Set pieces
Style
Squad
Workload class: light
Attack and defence ratings from the model; style metrics from recent international matches; penalty rates via Bayesian estimation; goalkeeper rating from shot-prevention data. Rank is out of 48 tournament teams.
Where goals come from
Phase of play · scored & conceded
- Open play
- Set piece
- Counter
- Penalty
Share of goals by how the chance began, across 17 matches (CopaAmerica2024,WC2018,WC2022). Shoot-out kicks are excluded. Descriptive metric — does not feed the published probabilities. Methodology →
Group-stage matchups
Probabilities from the calibrated ensemble model. xG from the Dixon–Coles fit. See each fixture page for full analysis.
Rating & probability history
12 snapshots · 2026-05-22 → 2026-06-24Argentina trajectory: 12 snapshots between 2026-05-22 and 2026-06-24 (33 days). Elo moved from 2113.0 to 2113.0 (0). Tournament-winner probability moved from 19.7% to 16.8% (−2.9pp).
Each point is one model build. The shaded band is the bootstrap 90% credible interval around the tournament-winner probability.
Recent form (10 matches)
| Date | Opponent | Score | Result | Competition |
|---|---|---|---|---|
| 2026-03-31 | HZambia | 5–0 | W | Friendly |
| 2026-03-27 | HMauritania | 2–1 | W | Friendly |
| 2025-11-14 | AAngola | 2–0 | W | Friendly |
| 2025-10-14 | NPuerto Rico | 6–0 | W | Friendly |
| 2025-10-10 | NVenezuela | 1–0 | W | Friendly |
| 2025-09-09 | AEcuador | 0–1 | L | FIFA World Cup qualification |
| 2025-09-04 | HVenezuela | 3–0 | W | FIFA World Cup qualification |
| 2025-06-10 | HColombia | 1–1 | D | FIFA World Cup qualification |
| 2025-06-05 | AChile | 1–0 | W | FIFA World Cup qualification |
| 2025-03-25 | HBrazil | 4–1 | W | FIFA World Cup qualification |
martj42 international results (CC0) · last 10 matches · ~2 years.
Head-to-head vs group opponents
| Opponent | Meetings | W-D-L | Last meeting |
|---|---|---|---|
| Austria | 3 | 2-1-0 | 2026 — Win (2–0) · FIFA World Cup |
| Algeria | 2 | 2-0-0 | 2026 — Win (3–0) · FIFA World Cup |
| Jordan | 0 | — | No prior meetings |
All meetings via the martj42 international results dataset.
Major tournaments — most recent appearance
| Tournament | Year | Finish | W-D-L | Since then |
|---|---|---|---|---|
| Copa América | 2024 | Champion | 5-1-0 |
|
| FIFA World Cup | 2022 | Champion | 4-2-1 |
|
Source: FIFA archives. Penalty outcomes resolved to W/L.
Most similar past team-tournaments
Closest comparable teams from past major tournaments (1990-2024), by squad strength, group draw, and recent form. Shown for context, not a prediction.
Brazil · World Cup 2022
Exited at the quarter-final
Comparable pre-tournament strength (Elo 2229) and group draw.
Brazil · World Cup 2018
Exited at the quarter-final
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