Australia

Snapshot · 2026-06-11Model 1.0.0

AFC·المجموعة D·FIFA #26

R16 contender

Transition-heavy side with Mathew Ryan in goal.

التشكيل الأخير: 4-4-2 (2 من 4)

منافس
United States (#14)
رئيسي
Brandon Borrello (FW)
Share this cardSave image
1

نظرة عامة على البطولة

Analysis

Australia carry a 0.2% probability of winning the tournament (26th of 48). Watch for Nestory Irankunda — 20 at kickoff — 13 caps. Drawn in Group D alongside United States, Paraguay, Turkey, they are projected at 61.5% to advance to the knockout stage.

How they play

Australia under Tony Popovic play a transition heavy game, with just 44% possession — among the lowest in the field. Their likely shape is a 4-4-2, though they have also used 4-2-3-1 and 4-3-3. They sit deeper and pick their moments to press (PPDA 37.0). They are selective in their shooting (8.0 per 90).

Path to success

In Group D alongside United States, Paraguay, Turkey, Australia are projected at 61.5% to advance from the group stage. Qualification to the knockout rounds is the primary target. The round of 32 probability sits at 27.7%. 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

Australia rely on defensive discipline and quick transitions — absorbing pressure and converting turnovers into attacking chances. Concentration and defensive organisation for full 90-minute stretches will determine whether the approach holds against top opposition.

Controversial take

One factor to watch: XI averaged only 249 club minutes in 2024-25 — #43 of 43 in the field. Light pre-tournament prep on the starting eleven.

Key numbers

0.2%Win probability26th in field
1783Elo ratingRanked 26th globally
4-4-2Predicted formationFrom 4 observed matches
37.0PPDA (press intensity)Lower = more pressing; bottom quartile (40th of 48)
15.4%Tournament goal probability — Brandon BorrelloTop projected scorer in the squad (FW)
2.4 yearsManager tenureTony Popovic

How they play

Style vs the 48-team field

Transition-heavy · style profile from 7 recent matches

Press
37
1
Build-up
6.4
59
Directness
7.2
76
Width (proxy)
435.2
49
Tempo
9.9
84
Set-piece relianceno data

What to watch: a more passive press, sitting off the ball.

Percentiles position Australia 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 D finish · Australia

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
    18.8%
  • 2nd (runner-up)
    Advances to R32
    22.8%
  • 3rd
    Advances only if among the best 8 of 12 third-placed teams
    26.7%
  • 4th
    Eliminated
    31.7%

Stage progression · Australia

, 50,000 sims
  1. 61.6%AdvAdvance from group
  2. 28.0%R16Round of 16
  3. 9.5%QFQuarter-final
  4. 2.6%SFSemi-final
  5. 0.8%FFinal
  6. 0.2%WinWin the tournament

Likely knockout path · Australia

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

التشكيلة

Predicted squad

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

The source has jersey numbers assigned, but they may reflect a recent friendly window rather than the final FIFA squad. The model still ranks all pool players and may surface a non-jerseyed regular over a numbered backup.

Goalkeepers (1)
PlayerStat
GK
Mathew Ryan#1Jersey-boostedLevante
103c62save%0.89
Defenders (4)
PlayerStat
DF
Miloš Degenek#2Jersey-boostedAPOEL
56c0.18
DF
Aziz Behich#16Caps-drivenMelbourne City
82c0.18
DF
Jordan Bos#5Jersey-boostedFeyenoord
25c0.49
DF
Kye Rowles#4Jersey-boostedD.C. United
29c0.36
Midfielders (3)
PlayerStat
MF
Connor Metcalfe#8Jersey-boostedFC St. Pauli
34c5assists0.75
MF
Riley McGree#14Middlesbrough
35c7assists0.53
MF
Ajdin Hrustić#10Jersey-boostedHeracles Almelo
36c5assists0.21
Forwards (3)
PlayerStat
FW
Martin Boyle#6Jersey-boostedHibernian
41c10goals0.25
FW
Awer Mabil#11Jersey-boostedCastellón
37c10goals0.01
FW
Nestory Irankunda#7Jersey-boostedWatford
13c5goals0.45
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
Paul Izzo#12Jersey-boostedRanders★ Likely first sub
4c0.33
GK
Patrick Beach#18Jersey-boostedMelbourne City★ Likely first sub
1c0.06
Defenders (6)
PlayerStat
DF
Cameron Burgess#21Swansea City★ Likely first sub
25c0.53
DF
Alessandro Circati#23Rating-drivenParma★ Likely first subimpact 3/100
11c0.73
DF
Jason Geria#19Jersey-boostedAlbirex Niigata★ Likely first sub
13c0.23
DF
Kai Trewin#15Jersey-boostedNew York City
4c0.18
DF
Jacob Italiano#3Jersey-boostedGrazer AK
3c0.09
DF
Lucas Herrington#26Caps-drivenColorado Rapids
2c0.00
Midfielders (4)
PlayerStat
MF
Aiden O'Neill#13Jersey-boostedNew York City★ Likely first sub
29c0assists0.40
MF
Patrick Yazbek#17Jersey-boostedNashville SC★ Likely first sub
9c1assists0.42
MF
Paul Okon-Engstler#20Jersey-boostedSydney FC★ Likely first sub
4c0assists0.05
MF
Alex Robertson#22Jersey-boostedCardiff City
3c0assists0.00
Forwards (3)
PlayerStat
FW
Nishan Velupillay#9Jersey-boostedMelbourne Victory★ Likely first sub
6c3goals0.09
FW
Deni Jurić#24Jersey-boostedWisła Płock★ Likely first sub
2c0goals0.00
FW
Ante Šuto#25Jersey-boostedHibernian★ Likely first sub
0c0goals0.00
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

Low coverage: 2/11 of the projected XI have club-minutes rows in our ratings table. Numbers below are structurally suppressed and should be read alongside the resolved count, not in isolation.

Pairwise club minutes
0.21%
Share of the 55-pair × 3000-minute ceiling. Higher = more of the XI plays together at club level.
Club concentration
1.000
How concentrated the XI is across clubs. 0.091 = 11 different clubs · 1.000 = all the same club.
Top-3 clubs share
100%
2 of 2 play for the three most common clubs in the XI.

Top clubs in projected XI

  • St. Pauli2

Most-connected club pair

Jackson Irvine + Connor MetcalfeSt. Pauli, 2024-25 · 340 shared minutes

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

Squad depth

Projected XI · replaceability

Most irreplaceable starters

  1. Mathew RyanGoalkeeperLikely cover: Paul Izzo · 0.33Randers0.56gap to repl.
  2. Nestory IrankundaWingerLikely cover: Nishan Velupillay · 0.09Melbourne Victory0.36gap to repl.
  3. Jordan BosFull-backLikely cover: Jason Geria · 0.23Albirex Niigata0.26gap 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 →

3

جدول المجموعة

Group-stage schedule

MDDateOpponentVenue
1Jun 13, 2026TurkeyVancouver, Canada
2Jun 19, 2026United StatesSeattle, United States
3Jun 25, 2026ParaguaySanta Clara, United States

المواجهات المباشرة

هدّافو Australia المتوقعون →

4

قصص

Storylines

Updated 14 days ago
Teen starterNestory Irankunda

20 at kickoff — 13 caps.

Form trend

Gained 58 international Elo points over the last 12 months — current rating 1905.

Minutes load

XI averaged only 249 club minutes in 2024-25 — #43 of 43 in the field. Light pre-tournament prep on the starting eleven.

Long-haul

Travels 38,983 km across 3 venues in the group stage — one of the longest itineraries in the field.

5

الحالة والسجل

Statistical profile

Transition Heavy

Attack

Attack rating0.7130th/48
Shots per match8.046th/48
Chance quality0.09634th/48

Defence

Defence rating0.8129th/48
Goalkeeper rating0.8510th/48

GK: Mathew Ryan

Set pieces

Penalty conversion71.4%38th/48
Penalty save rate20.0%28th/48

Style

Possession44.0%39th/48
Press intensity37.040th/48
Directness7.210th/48
Crossing volume435.221st/48
Long ball volume45.52nd/48
Build-up length6.417th/48

Squad

Avg. minutes per starter24943rd/48
Club familiarity0.00216th/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

Scored5 goals · 60 shots
Conceded10 goals · 91 shots
  • Open play
  • Set piece
  • Counter
  • Penalty

Share of goals by how the chance began, across 7 matches (WC2018,WC2022). Shoot-out kicks are excluded. Descriptive metric — does not feed the published probabilities. Methodology →

Group-stage matchups

Win35.4%
Draw26.0%
Loss38.6%
Expected goals for1.17
Expected goals against1.23
Likeliest score1-1 (13.7%)
Both teams score49.5%
Clean sheet29.3%
Win41.0%
Draw28.1%
Loss30.9%
Expected goals for1.08
Expected goals against0.97
Likeliest score1-1 (14.1%)
Both teams score41.6%
Clean sheet37.9%
Win36.8%
Draw29.7%
Loss33.5%
Expected goals for0.92
Expected goals against0.85
Likeliest score0-0 (17.5%)
Both teams score35.2%
Clean sheet42.6%

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
Australia — Elo and tournament-winner probability over 10 snapshotsAustralia trajectory: 10 snapshots between 2026-05-22 and 2026-06-10 (19 days). Elo moved from 1783.0 to 1783.0 (0). Tournament-winner probability moved from 0.2% to 0.2% (0pp).Elo rating17731780178617932026-05-22 · Elo 1783.02026-06-06 · Elo 1783.0 (0 vs prior)2026-06-06 · Elo 1783.0 (0 vs prior)2026-06-07 · Elo 1783.0 (0 vs prior)2026-06-07 · Elo 1783.0 (0 vs prior)2026-06-07 · Elo 1783.0 (0 vs prior)2026-06-08 · Elo 1783.0 (0 vs prior)2026-06-08 · Elo 1783.0 (0 vs prior)2026-06-10 · Elo 1783.0 (0 vs prior)2026-06-10 · Elo 1783.0 (0 vs prior)Tournament-winner probability0.0%0.4%0.9%1.3%2026-05-22 · 0.2% (CI <0.1%–0.3%)2026-06-06 · 0.2% (CI 0.2%–0.6%) (+0.1pp vs prior)2026-06-06 · 0.2% (CI 0.2%–0.6%) (0pp vs prior)2026-06-07 · 0.2% (CI 0.2%–0.6%) (0pp vs prior)2026-06-07 · 0.2% (CI 0.2%–0.6%) (+0.1pp vs prior)2026-06-07 · 0.2% (CI 0.2%–0.6%) (0pp vs prior)2026-06-08 · <0.1% (CI 0.2%–0.6%) (−0.2pp vs prior)2026-06-08 · 0.2% (CI 0.2%–0.6%) (+0.2pp vs prior)2026-06-10 · 0.2% (CI 0.2%–0.6%) (−0.1pp vs prior)2026-06-10 · 0.2% (CI 0.2%–0.6%) (0pp vs prior)snapshot date (2026-05-222026-06-10)

Australia trajectory: 10 snapshots between 2026-05-22 and 2026-06-10 (19 days). Elo moved from 1783.0 to 1783.0 (0). Tournament-winner probability moved from 0.2% to 0.2% (0pp).

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

Recent form (10 matches)

Record7W · 0D · 3L
Goals159
Form
DateOpponentScoreResultCompetition
2026-03-31HCuraçao51WFIFA Series
2026-03-27HCameroon10WFIFA Series
2025-11-18NColombia03LFriendly
2025-11-14NVenezuela01LFriendly
2025-10-14AUnited States12LFriendly
2025-10-10ACanada10WFriendly
2025-09-09ANew Zealand31WSoccer Ashes
2025-09-05HNew Zealand10WSoccer Ashes
2025-06-10ASaudi Arabia21WFIFA World Cup qualification
2025-06-05HJapan10WFIFA World Cup qualification

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

Head-to-head vs group opponents

OpponentMeetingsW-D-LLast meeting
Paraguay52-3-02010Win (10) · Friendly
United States41-1-22025Loss (12) · Friendly
Turkey20-0-22004Loss (01) · Friendly

All meetings via the martj42 international results dataset.

Major tournaments — most recent appearance

TournamentYearFinishW-D-LSince then
AFC Asian Cup2024Quarter-finals3-1-1
  • Same head coach (Tony Popovic) since 2024
  • 19/26 of current pool (73%) were active that year
FIFA World Cup2022Round of 162-0-2
  • New head coach since then — now Tony Popovic (appointed 2024)
  • 12/26 of current pool (46%) were active that year
Oceania Nations Cup2004Champion6-1-0
  • New head coach since then — now Tony Popovic (appointed 2024)
  • 0/26 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.

  • South Korea · World Cup 2010

    Exited at the round of 16

    Comparable pre-tournament strength (Elo 1839) and group draw.

  • South Korea · World Cup 2006

    Exited at the group stage

  • Japan · World Cup 2014

    Exited at the group stage