Austria

Snapshot · 2026-06-11Model 1.0.0

UEFA·Groep J·FIFA #24

R16 contender

High-pressing side.

Rivaal
Argentina (#2)
Sleutel
Marcel Sabitzer (MF)
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Final squad announced · Austria · 2026-05-19

Source: USA Today
1

Toernooivooruitzicht

Analysis

Austria carry a 0.5% probability of winning the tournament (21st of 48). The squad bridges generations: Marko Arnautović (37 at kickoff with 132 caps — probably his final world cup) alongside Paul Wanner, the squad's youngest prospect. Drawn in Group J alongside Argentina, Algeria, Jordan, they are projected at 78.9% to advance to the knockout stage.

How they play

Austria under Ralf Rangnick play a high press game with 53% possession. They apply moderate pressing intensity (PPDA 17.0).

Path to success

In Group J alongside Argentina, Algeria, Jordan, Austria are projected at 78.9% to advance from the group stage. Qualification to the knockout rounds is the primary target. The round of 32 probability sits at 27.2%. The expanded 48-team format gives smaller federations more runway, and upsets in the group stage are a fixture of every World Cup.

What they must execute

Austria need their high press to force turnovers in dangerous areas — if opponents can play through the press, the space left behind is vulnerable. Physical conditioning and squad rotation will be critical to sustain pressing intensity across a long tournament. Managing minutes for Marko Arnautović across what could be seven matches will test the coaching staff's rotation planning.

Controversial take

The model's assessment of Austria broadly aligns with their FIFA ranking — no major disagreement between the two systems for this squad.

Key numbers

0.5%Win probability21st in field
1827Elo ratingRanked 23rd globally
17.0PPDA (press intensity)Lower = more pressing; top quartile (7th of 48)
24.3%Tournament goal probability — Marcel SabitzerTop projected scorer in the squad (MF)
4.4 yearsManager tenureRalf Rangnick
78.9%Group stage advance probabilityGroup J

How they play

Style vs the 48-team field

High press · style profile from 8 recent matches

Press
17
84
Build-up
6.7
64
Directness
5.7
31
Width (proxy)
497.1
74
Tempo
9.5
69
Set-piece reliance
11.2
36

What to watch: one of the more intense presses in the field.

Percentiles position Austria 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 · Austria

Monte Carlo, 50,000 sims

Top two advance to the round of 32; best 8 of 12 third-placed teams also qualify.

  • 1st (group winner)
    Advances to R32
    14.3%
  • 2nd (runner-up)
    Advances to R32
    39.6%
  • 3rd
    Advances only if among the best 8 of 12 third-placed teams
    31.9%
  • 4th
    Eliminated
    14.1%

Stage progression · Austria

, 50,000 sims
  1. 76.6%AdvAdvance from group
  2. 27.6%R16Round of 16
  3. 11.9%QFQuarter-final
  4. 4.5%SFSemi-final
  5. 1.6%FFinal
  6. 0.5%WinWin the tournament

Likely knockout path · Austria

Monte Carlo, 10,000 sims

Most frequent opponents per round, conditional on reaching it.

R32

Round of 32

R16

Round of 16

QF

Quarter-final

SF

Semi-final

F

Final

2

De selectie

Confirmed squad

Wikipedia call-up pool · snapshot 2026-05-28

Roster 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.

Goalkeepers (1)
PlayerStat
GK
Alexander Schlager#1Jersey-boostedRed Bull Salzburg
25c0.69
Defenders (4)
PlayerStat
DF
David Alaba#8Real Madrid
112c25tackles0.78
DF
Philipp Lienhart#15SC Freiburg
40c8tackles0.81
DF
Stefan Posch#5Jersey-boostedMainz 05
51c66tackles0.39
DF
Kevin Danso#3Jersey-boostedTottenham Hotspur
31c13tackles0.49
Midfielders (3)
PlayerStat
MF
Christoph Baumgartner#19RB Leipzig
58c14assists0.82
MF
Konrad Laimer#20Caps-drivenBayern Munich
56c9assists0.85
MF
Marcel Sabitzer#9Caps-drivenBorussia Dortmund
97c22assists0.33
Forwards (3)
PlayerStat
FW
Michael Gregoritsch#11Goals-drivenFC Augsburg
74c24goals0.74
FW
Marko Arnautović#7Goals-drivenRed Star Belgrade
132c47goals0.60
FW
Saša Kalajdžić#14Rating-drivenLASK
21c4goals0.79
Bench

★ 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.

Goalkeepers (2)
PlayerStat
GK
Patrick Pentz#13Jersey-boostedBrøndby★ Likely first sub
18c0.22
GK
Florian Wiegele#12Jersey-boostedViktoria Plzeň★ Likely first sub
1c0.00
Defenders (5)
PlayerStat
DF
Phillipp Mwene#16Jersey-boostedMainz 05★ Likely first subimpact 12/100
29c51tackles0.28
DF
Marco Friedl#23Rating-drivenWerder Bremen★ Likely first subimpact 4/100
10c17tackles0.69
DF
Alexander Prass#22TSG Hoffenheim★ Likely first subimpact 27/100
18c0.34
DF
David Affengruber#2Jersey-boostedElche
1c0.00
DF
Michael Svoboda#25Veneziaimpact 8/100
4c33tackles0.09
Midfielders (8)
PlayerStat
MF
Florian Grillitsch#10Caps-drivenBragaimpact 6/100
58c6assists0.53
MF
Xaver Schlager#4Jersey-boostedRB Leipzig★ Likely first subimpact 22/100
50c3assists0.56
MF
Romano Schmid#18Werder Bremen★ Likely first subimpact 46/100
33c6assists0.85
MF
Nicolas Seiwald#6Jersey-boostedRB Leipzigimpact 12/100
46c2assists0.38
MF
Patrick Wimmer#21Rating-drivenVfL Wolfsburg★ Likely first subimpact 32/100
30c2assists0.85
MF
Alessandro Schöpf#26Caps-drivenWolfsberger ACimpact 22/100
35c0assists0.19
MF
Carney Chukwuemeka#17Jersey-boostedBorussia Dortmundimpact 32/100
2c0assists0.42
MF
Paul Wanner#24Rating-drivenPSVimpact 24/100
2c0assists0.35
How to read this squad4 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).
★ Likely first sub — the bench player the model rates most likely to be the first substitute for their position. Computed from a first-sub score (cap-recency + impact rating); ties broken by Rating.

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
1.13%
Share of the 55-pair × 3000-minute ceiling. Higher = more of the XI plays together at club level.
Club concentration
0.120
How concentrated the XI is across clubs. 0.091 = 11 different clubs · 1.000 = all the same club.
Top-3 clubs share
40%
4 of 10 play for the three most common clubs in the XI.

Top clubs in projected XI

  • Freiburg2
  • Real Madrid1
  • Atalanta,Bologna1

Most-connected club pair

Philipp Lienhart + Michael GregoritschFreiburg, 2023-24 · 1,867 shared minutes

Descriptive metric — does not feed the published probabilities. Methodology →

Squad depth

Projected XI · replaceability

Most irreplaceable starters

  1. Konrad LaimerFull-backLikely cover: Phillipp Mwene · 0.28Mainz 050.58gap to repl.
  2. Saša KalajdžićStrikerLikely cover: no natural backupreplacement-level ST ~0.220.57gap to repl.
  3. Michael GregoritschStrikerLikely cover: no natural backupreplacement-level ST ~0.220.52gap 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 →

3

Groepsschema

Group-stage schedule

MDDateOpponentVenue
1Jun 16, 2026JordanSanta Clara, United States
2Jun 22, 2026ArgentinaArlington, United States
3Jun 27, 2026AlgeriaKansas City, United States

Onderlinge confrontaties

Verwachte doelpuntenmakers Austria →

4

Verhaallijnen

Storylines

Updated 14 days ago

37 at kickoff with 132 caps — probably his final World Cup.

League pedigree

21 of 26 predicted-squad players played in a top-5 European league last season — top-tier league pedigree across the squad.

From the spot

Converted only 3 of 5 career penalties (60%) — a wasteful record from the spot in knockouts.

TouchlineRalf Rangnick

First World Cup as head coach, appointed 2022.

5

Vorm en trackrecord

Statistical profile

High Press

Attack

Attack rating0.8819th/48
Shots per match11.723rd/48
Chance quality0.10526th/48

Defence

Defence rating0.8431st/48
Goalkeeper rating0.5226th/48

GK: Alexander Schlager

Set pieces

Set-piece goal share11.2%25th/48
Penalty conversion72.0%25th/48
Penalty save rate20.0%29th/48

Style

Possession53.1%15th/48
Press intensity17.07th/48
Directness5.728th/48
Crossing volume497.111th/48
Long ball volume34.124th/48
Build-up length6.715th/48

Squad

Avg. minutes per starter1,26235th/48
Club familiarity0.01113th/48

Workload class: low

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

Scored11 goals · 103 shots
Conceded10 goals · 98 shots
  • Open play
  • Set piece
  • Counter
  • Penalty

Share of goals by how the chance began, across 8 matches (Euro2020,Euro2024). Shoot-out kicks are excluded. Descriptive metric — does not feed the published probabilities. Methodology →

Group-stage matchups

Win54.7%
Draw24.7%
Loss20.6%
Expected goals for1.77
Expected goals against0.73
Likeliest score1-0 (14.0%)
Both teams score43.6%
Clean sheet48.0%
Win10.3%
Draw23.4%
Loss66.2%
Expected goals for0.65
Expected goals against1.61
Likeliest score1-0 (16.3%)
Both teams score38.6%
Clean sheet20.0%
Win41.7%
Draw26.1%
Loss32.2%
Expected goals for1.34
Expected goals against1.11
Likeliest score1-1 (13.4%)
Both teams score50.1%
Clean sheet33.0%

Probabilities from the calibrated ensemble model. xG from the Dixon–Coles fit. See each fixture page for full analysis.

Rating & probability history

10 snapshots · 2026-05-222026-06-10
Austria — Elo and tournament-winner probability over 10 snapshotsAustria trajectory: 10 snapshots between 2026-05-22 and 2026-06-10 (19 days). Elo moved from 1827.0 to 1827.0 (0). Tournament-winner probability moved from 0.1% to 0.4% (+0.3pp).Elo rating18171824183018372026-05-22 · Elo 1827.02026-06-06 · Elo 1827.0 (0 vs prior)2026-06-06 · Elo 1827.0 (0 vs prior)2026-06-07 · Elo 1827.0 (0 vs prior)2026-06-07 · Elo 1827.0 (0 vs prior)2026-06-07 · Elo 1827.0 (0 vs prior)2026-06-08 · Elo 1827.0 (0 vs prior)2026-06-08 · Elo 1827.0 (0 vs prior)2026-06-10 · Elo 1827.0 (0 vs prior)2026-06-10 · Elo 1827.0 (0 vs prior)Tournament-winner probability0.0%0.4%0.9%1.3%2026-05-22 · 0.1% (CI <0.1%–0.3%)2026-06-06 · 0.4% (CI 0.2%–0.6%) (+0.3pp vs prior)2026-06-06 · 0.4% (CI 0.2%–0.6%) (0pp vs prior)2026-06-07 · 0.4% (CI 0.2%–0.6%) (0pp vs prior)2026-06-07 · 0.5% (CI 0.2%–0.6%) (+0.1pp vs prior)2026-06-07 · 0.5% (CI 0.2%–0.6%) (0pp vs prior)2026-06-08 · 0.1% (CI 0.2%–0.6%) (−0.4pp vs prior)2026-06-08 · 0.5% (CI 0.2%–0.6%) (+0.4pp vs prior)2026-06-10 · 0.4% (CI 0.2%–0.6%) (0pp vs prior)2026-06-10 · 0.4% (CI 0.2%–0.6%) (0pp vs prior)snapshot date (2026-05-222026-06-10)

Austria trajectory: 10 snapshots between 2026-05-22 and 2026-06-10 (19 days). Elo moved from 1827.0 to 1827.0 (0). Tournament-winner probability moved from 0.1% to 0.4% (+0.3pp).

Each point is one model build. The shaded band is the bootstrap 90% credible interval around the tournament-winner probability.

Recent form (10 matches)

Record8W · 1D · 1L
Goals285
Form
DateOpponentScoreResultCompetition
2026-03-31HSouth Korea10WFriendly
2026-03-27HGhana51WFriendly
2025-11-18HBosnia and Herzegovina11DFIFA World Cup qualification
2025-11-15ACyprus20WFIFA World Cup qualification
2025-10-12ARomania01LFIFA World Cup qualification
2025-10-09HSan Marino100WFIFA World Cup qualification
2025-09-09ABosnia and Herzegovina21WFIFA World Cup qualification
2025-09-06HCyprus10WFIFA World Cup qualification
2025-06-10ASan Marino40WFIFA World Cup qualification
2025-06-07HRomania21WFIFA World Cup qualification

martj42 international results (CC0) · last 10 matches · ~2 years.

Head-to-head vs group opponents

OpponentMeetingsW-D-LLast meeting
Argentina20-1-11990Draw (11) · Friendly
Algeria11-0-01982Win (20) · FIFA World Cup
Jordan0No prior meetings

All meetings via the martj42 international results dataset.

Major tournaments — most recent appearance

TournamentYearFinishW-D-LSince then
UEFA Euro2024Round of 162-0-2
  • Same head coach (Ralf Rangnick) since 2022
  • 22/30 of current pool (73%) were active that year
FIFA World Cup1998Group stage0-2-1
  • New head coach since then — now Ralf Rangnick (appointed 2022)
  • 0/30 of current pool (0%) were active that year

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.

  • Greece · World Cup 2014

    Exited at the round of 16

    Comparable pre-tournament strength (Elo 1853) and group draw.

  • Turkey · Euro 2016

    Exited at the group stage

  • Greece · Euro 2008

    Exited at the group stage