Will Austria advance from the group stage at World Cup 2026?

OddsFlow AI gives Austria a 78.8% probability of advancing from the group stage at the 2026 FIFA World Cup. This is based on Dixon-Coles modeling with Monte Carlo simulations across all group-stage scenarios.

Can Austria win the 2026 World Cup?

Austria has a 1.3% probability of winning the 2026 FIFA World Cup according to OddsFlow AI analysis. The team has an overall rating of 53/100 (Attack: 51, Midfield: 53, Defense: 46, Goalkeeping: 67).

What is Austria's overall rating for World Cup 2026?

Austria has an AI-generated overall rating of 53/100 for the 2026 World Cup. Breakdown: Attack 51, Midfield 53, Defense 46, Goalkeeping 67. Playing style: Total football.

Who are Austria's star players at World Cup 2026?

Austria's top players for the 2026 World Cup include: F. Grillitsch (Midfielder, OPR 68, 3G 3A (2056min)); F. Wiegele (Goalkeeper, OPR 67, OPR 67); P. Wanner (Midfielder, OPR 66, 5G 4A (2407min)); A. Schlager (Goalkeeper, OPR 66, OPR 66); X. Schlager (Midfielder, OPR 65, 3G 2A (2207min)).

What are Austria's strengths and weaknesses?

Strengths: Top-class goalkeeper, Deep squad rotation. Squad depth score: 86.0, average age: 27.6.

How strong is Austria's squad for World Cup 2026?

Austria's Dixon-Coles strength metrics: Attack power 50.0, Midfield control 53.3, Defensive solidity 45.8, GK rating 75.9. Lambda attack 1.42, lambda defense 0.96. Chemistry score 35, squad depth 86. Top scorer: M. Gregoritsch (7 goals).

Austria — World Cup 2026 AI Analysis (Rating 53/100)

OddsFlow AI Analysis

53Overall

Total football

⚡Attack

⚙️Midfield

🛡️Defense

🧤Goalkeeping

25Squad Size

27.6Avg Age

59.8Avg OVR

86.0Depth Score

53Overall

Total football

⚡Attack

⚙️Midfield

🛡️Defense

🧤Goalkeeping

25Squad Size

27.6Avg Age

59.8Avg OVR

86.0Depth Score

Star Players

F. Grillitsch

Midfielder

3G 3A (2056min)

F. Wiegele

Goalkeeper

OPR 67

P. Wanner

Midfielder

5G 4A (2407min)

A. Schlager

Goalkeeper

OPR 66

X. Schlager

Midfielder

3G 2A (2207min)

Tournament Probability

1.3%ChampionChampion

1.3%

78.8%Advance from GroupAdvance from Group

78.8%

Strengths

Top-class goalkeeper

Deep squad rotation

Manager & Tactical Profile

· Appointed

Team Strength & Intelligence

ATK

MID

DEF

1.42

λ Attack

0.96

λ Defense

Chemistry

Depth

3.4

Star Gap

27.6

Avg Age

Top Scorer

M. Gregoritsch

7 goals

Best Rated

F. Wiegele

7.73

Club Clusters

RB Leipzig (2)FSV Mainz 05 (2)Borussia Dortmund (2)Werder Bremen (2)

WC Experience

Appearances7

Best Finish3rd 1954

Last WC1998

Physical Resilience

Avg Mins/Season2,448

FatigueGood recovery — peak physical years

MiamiMODERATE

MonterreyMODERATE

Hot Climate %0%

Cooperation

Score39/100

Total Clubs21

Same-Club Pairs4

Same-League80

Average — typical international squad

H2H Matchup Predictions(47)

WinDrawLoss

Curaçao

1-0▼

54%

25%

21%

xG 1.6 – 0.9O2.5 45%BTTS 47%

Iraq

0-1▼

54%

26%

21%

xG 1.6 – 0.9O2.5 44%BTTS 47%

Haiti

0-1▼

53%

25%

22%

xG 1.5 – 0.9O2.5 44%BTTS 46%

Iran

0-1▼

53%

25%

22%

xG 1.6 – 0.9O2.5 45%BTTS 47%

South Korea

1-0▼

52%

26%

22%

xG 1.5 – 0.9O2.5 44%BTTS 46%

South Africa

0-1▼

52%

26%

22%

xG 1.5 – 0.9O2.5 43%BTTS 46%

Uzbekistan

0-1▼

52%

26%

23%

xG 1.5 – 0.9O2.5 43%BTTS 45%

Cape Verde Islands

1-1▼

51%

25%

xG 1.6 – 1.1O2.5 50%BTTS 53%

Qatar

0-1▼

50%

24%

25%

xG 1.6 – 1.0O2.5 48%BTTS 51%

Egypt

1-1▼

48%

25%

27%

xG 1.6 – 1.2O2.5 53%BTTS 56%

Tunisia

1-1▼

47%

26%

27%

xG 1.4 – 1.0O2.5 45%BTTS 49%

Ghana

1-1▼

47%

26%

27%

xG 1.5 – 1.1O2.5 47%BTTS 50%

Jordan

1-1▼

46%

27%

xG 1.4 – 1.0O2.5 45%BTTS 49%

Bosnia & Herzegovina

1-1▼

45%

26%

29%

xG 1.5 – 1.1O2.5 47%BTTS 51%

Panama

1-1▼

45%

27%

28%

xG 1.4 – 1.0O2.5 43%BTTS 47%

Norway

1-1▼

44%

26%

31%

xG 1.5 – 1.2O2.5 50%BTTS 54%

Scotland

1-1▼

43%

26%

31%

xG 1.4 – 1.1O2.5 47%BTTS 52%

Ecuador

1-1▼

43%

27%

29%

xG 1.3 – 1.1O2.5 43%BTTS 49%

Canada

1-1▼

43%

26%

31%

xG 1.5 – 1.2O2.5 50%BTTS 54%

Australia

1-1▼

43%

26%

31%

xG 1.4 – 1.2O2.5 48%BTTS 52%

Saudi Arabia

1-1▼

43%

25%

32%

xG 1.4 – 1.2O2.5 49%BTTS 53%

Algeria

1-1▼

43%

24%

33%

xG 1.5 – 1.3O2.5 53%BTTS 57%

Mexico

1-1▼

43%

24%

33%

xG 1.5 – 1.3O2.5 54%BTTS 56%

Colombia

1-1▼

43%

27%

31%

xG 1.4 – 1.1O2.5 47%BTTS 52%

Ivory Coast

1-1▼

43%

26%

31%

xG 1.4 – 1.1O2.5 46%BTTS 50%

Paraguay

1-1▼

42%

27%

31%

xG 1.4 – 1.1O2.5 46%BTTS 51%

Morocco

1-1▼

42%

27%

31%

xG 1.4 – 1.1O2.5 46%BTTS 50%

New Zealand

1-1▼

42%

26%

32%

xG 1.4 – 1.2O2.5 50%BTTS 53%

USA

1-1▼

41%

26%

33%

xG 1.4 – 1.2O2.5 47%BTTS 52%

Sweden

1-1▼

41%

27%

32%

xG 1.3 – 1.2O2.5 45%BTTS 50%

Switzerland

1-1▼

40%

27%

33%

xG 1.4 – 1.2O2.5 46%BTTS 52%

Congo DR

1-1▼

40%

26%

34%

xG 1.4 – 1.3O2.5 50%BTTS 54%

Belgium

1-1▼

39%

27%

34%

xG 1.3 – 1.2O2.5 46%BTTS 52%

Czech Republic

1-1▼

39%

26%

35%

xG 1.3 – 1.3O2.5 48%BTTS 53%

Netherlands

1-1▼

38%

26%

35%

xG 1.3 – 1.3O2.5 47%BTTS 52%

Senegal

1-1▼

38%

27%

35%

xG 1.3 – 1.2O2.5 47%BTTS 52%

Croatia

1-1▼

38%

27%

35%

xG 1.3 – 1.3O2.5 48%BTTS 53%

Brazil

1-1▼

38%

26%

36%

xG 1.3 – 1.3O2.5 48%BTTS 52%

Uruguay

1-1▼

38%

27%

35%

xG 1.3 – 1.2O2.5 46%BTTS 51%

Japan

1-1▼

38%

26%

36%

xG 1.4 – 1.3O2.5 50%BTTS 54%

Argentina

1-1▼

37%

26%

36%

xG 1.3 – 1.3O2.5 48%BTTS 53%

Spain

1-1▼

37%

27%

36%

xG 1.3 – 1.3O2.5 47%BTTS 52%

Germany

1-1▼

36%

26%

38%

xG 1.3 – 1.3O2.5 48%BTTS 53%

Türkiye

1-1▼

35%

26%

39%

xG 1.3 – 1.4O2.5 49%BTTS 52%

England

1-1▼

33%

26%

41%

xG 1.2 – 1.4O2.5 49%BTTS 53%

France

1-1▼

32%

26%

42%

xG 1.2 – 1.4O2.5 48%BTTS 53%

Portugal

1-1▼

32%

26%

41%

xG 1.2 – 1.4O2.5 47%BTTS 51%

Sensitivity Analysis(51 scenarios)

Rank Distribution Across Scenarios

Baseline

—

Heat ×0.75

—

Heat ×2

—

Heat ×2.5

—

Heat ×0.25

—

Heat ×1.75

—

Altitude ×0.75

—

Altitude ×1.25

—

Altitude ×1.5

—

Altitude ×2.5

—

Altitude ×0.25

—

Host ×0.5

—

Mismatch t=0.1 a=0.5

—

Spread 1

—

Spread 1.5

—

Uplift 1.15

—

Heat ×0

▲1

Heat ×0.5

▲1

Heat ×1.5

▲1

Heat ×3

▲1

Altitude ×0

▲1

Altitude ×2

▲1

Altitude ×3

▲1

Travel ×0

▲1

Travel ×0.25

▲1

Host ×0

▲1

Penalty rand=0.5

▲1

Uplift 1

▲1

Heat ×1.25

▲2

Altitude ×0.5

▲2

Altitude ×1.75

▲2

Travel ×0.5

▲2

Travel ×1.5

▲2

Travel ×1.75

▲2

Host ×1.5

▲2

Host ×2

▲2

Host ×3

▲2

Mismatch t=0.05 a=0.3

▲2

Mismatch t=0.15 a=0.7

▲2

Mismatch t=0.2 a=0.9

▲2

Mismatch t=0.3 a=1.2

▲2

Spread 3

▲2

Penalty rand=0.3

▲2

Penalty rand=0.7

▲2

Travel ×0.75

▲3

Travel ×2

▲3

Travel ×2.5

▲3

Travel ×3

▲3

Spread 2.1

▲3

Spread 2.5

▲3

Travel ×1.25

▲4

Baseline: #5·Lower rank = stronger

baseline

1 scenarios · #5

heat

10 scenarios · #5–#7

altitude

10 scenarios · #5–#7

travel

10 scenarios · #6–#9

host

5 scenarios · #5–#7

mismatch

5 scenarios · #5–#7

spread

5 scenarios · #5–#8

penalty

3 scenarios · #6–#7

uplift

2 scenarios · #5–#6

Team Strength & Intelligence

ATK

MID

DEF

1.42

λ Attack

0.96

λ Defense

Chemistry

Depth

3.4

Star Gap

27.6

Avg Age

Top Scorer

M. Gregoritsch

7 goals

Best Rated

F. Wiegele

7.73

Club Clusters

RB Leipzig (2)FSV Mainz 05 (2)Borussia Dortmund (2)Werder Bremen (2)

WC Experience

Appearances7

Best Finish3rd 1954

Last WC1998

Physical Resilience

Avg Mins/Season2,448

FatigueGood recovery — peak physical years

MiamiMODERATE

MonterreyMODERATE

Hot Climate %0%

Cooperation

Score39/100

Total Clubs21

Same-Club Pairs4

Same-League80

Average — typical international squad

H2H Matchup Predictions(47)

WinDrawLoss

Curaçao

1-0▼

54%

25%

21%

xG 1.6 – 0.9O2.5 45%BTTS 47%

Iraq

0-1▼

54%

26%

21%

xG 1.6 – 0.9O2.5 44%BTTS 47%

Haiti

0-1▼

53%

25%

22%

xG 1.5 – 0.9O2.5 44%BTTS 46%

Iran

0-1▼

53%

25%

22%

xG 1.6 – 0.9O2.5 45%BTTS 47%

South Korea

1-0▼

52%

26%

22%

xG 1.5 – 0.9O2.5 44%BTTS 46%

South Africa

0-1▼

52%

26%

22%

xG 1.5 – 0.9O2.5 43%BTTS 46%

Uzbekistan

0-1▼

52%

26%

23%

xG 1.5 – 0.9O2.5 43%BTTS 45%

Cape Verde Islands

1-1▼

51%

25%

xG 1.6 – 1.1O2.5 50%BTTS 53%

Qatar

0-1▼

50%

24%

25%

xG 1.6 – 1.0O2.5 48%BTTS 51%

Egypt

1-1▼

48%

25%

27%

xG 1.6 – 1.2O2.5 53%BTTS 56%

Tunisia

1-1▼

47%

26%

27%

xG 1.4 – 1.0O2.5 45%BTTS 49%

Ghana

1-1▼

47%

26%

27%

xG 1.5 – 1.1O2.5 47%BTTS 50%

Jordan

1-1▼

46%

27%

xG 1.4 – 1.0O2.5 45%BTTS 49%

Bosnia & Herzegovina

1-1▼

45%

26%

29%

xG 1.5 – 1.1O2.5 47%BTTS 51%

Panama

1-1▼

45%

27%

28%

xG 1.4 – 1.0O2.5 43%BTTS 47%

Norway

1-1▼

44%

26%

31%

xG 1.5 – 1.2O2.5 50%BTTS 54%

Scotland

1-1▼

43%

26%

31%

xG 1.4 – 1.1O2.5 47%BTTS 52%

Ecuador

1-1▼

43%

27%

29%

xG 1.3 – 1.1O2.5 43%BTTS 49%

Canada

1-1▼

43%

26%

31%

xG 1.5 – 1.2O2.5 50%BTTS 54%

Australia

1-1▼

43%

26%

31%

xG 1.4 – 1.2O2.5 48%BTTS 52%

Saudi Arabia

1-1▼

43%

25%

32%

xG 1.4 – 1.2O2.5 49%BTTS 53%

Algeria

1-1▼

43%

24%

33%

xG 1.5 – 1.3O2.5 53%BTTS 57%

Mexico

1-1▼

43%

24%

33%

xG 1.5 – 1.3O2.5 54%BTTS 56%

Colombia

1-1▼

43%

27%

31%

xG 1.4 – 1.1O2.5 47%BTTS 52%

Ivory Coast

1-1▼

43%

26%

31%

xG 1.4 – 1.1O2.5 46%BTTS 50%

Paraguay

1-1▼

42%

27%

31%

xG 1.4 – 1.1O2.5 46%BTTS 51%

Morocco

1-1▼

42%

27%

31%

xG 1.4 – 1.1O2.5 46%BTTS 50%

New Zealand

1-1▼

42%

26%

32%

xG 1.4 – 1.2O2.5 50%BTTS 53%

USA

1-1▼

41%

26%

33%

xG 1.4 – 1.2O2.5 47%BTTS 52%

Sweden

1-1▼

41%

27%

32%

xG 1.3 – 1.2O2.5 45%BTTS 50%

Switzerland

1-1▼

40%

27%

33%

xG 1.4 – 1.2O2.5 46%BTTS 52%

Congo DR

1-1▼

40%

26%

34%

xG 1.4 – 1.3O2.5 50%BTTS 54%

Belgium

1-1▼

39%

27%

34%

xG 1.3 – 1.2O2.5 46%BTTS 52%

Czech Republic

1-1▼

39%

26%

35%

xG 1.3 – 1.3O2.5 48%BTTS 53%

Netherlands

1-1▼

38%

26%

35%

xG 1.3 – 1.3O2.5 47%BTTS 52%

Senegal

1-1▼

38%

27%

35%

xG 1.3 – 1.2O2.5 47%BTTS 52%

Croatia

1-1▼

38%

27%

35%

xG 1.3 – 1.3O2.5 48%BTTS 53%

Brazil

1-1▼

38%

26%

36%

xG 1.3 – 1.3O2.5 48%BTTS 52%

Uruguay

1-1▼

38%

27%

35%

xG 1.3 – 1.2O2.5 46%BTTS 51%

Japan

1-1▼

38%

26%

36%

xG 1.4 – 1.3O2.5 50%BTTS 54%

Argentina

1-1▼

37%

26%

36%

xG 1.3 – 1.3O2.5 48%BTTS 53%

Spain

1-1▼

37%

27%

36%

xG 1.3 – 1.3O2.5 47%BTTS 52%

Germany

1-1▼

36%

26%

38%

xG 1.3 – 1.3O2.5 48%BTTS 53%

Türkiye

1-1▼

35%

26%

39%

xG 1.3 – 1.4O2.5 49%BTTS 52%

England

1-1▼

33%

26%

41%

xG 1.2 – 1.4O2.5 49%BTTS 53%

France

1-1▼

32%

26%

42%

xG 1.2 – 1.4O2.5 48%BTTS 53%

Portugal

1-1▼

32%

26%

41%

xG 1.2 – 1.4O2.5 47%BTTS 51%

Sensitivity Analysis(51 scenarios)

Rank Distribution Across Scenarios

Baseline

—

Heat ×0.75

—

Heat ×2

—

Heat ×2.5

—

Heat ×0.25

—

Heat ×1.75

—

Altitude ×0.75

—

Altitude ×1.25

—

Altitude ×1.5

—

Altitude ×2.5

—

Altitude ×0.25

—

Host ×0.5

—

Mismatch t=0.1 a=0.5

—

Spread 1

—

Spread 1.5

—

Uplift 1.15

—

Heat ×0

▲1

Heat ×0.5

▲1

Heat ×1.5

▲1

Heat ×3

▲1

Altitude ×0

▲1

Altitude ×2

▲1

Altitude ×3

▲1

Travel ×0

▲1

Travel ×0.25

▲1

Host ×0

▲1

Penalty rand=0.5

▲1

Uplift 1

▲1

Heat ×1.25

▲2

Altitude ×0.5

▲2

Altitude ×1.75

▲2

Travel ×0.5

▲2

Travel ×1.5

▲2

Travel ×1.75

▲2

Host ×1.5

▲2

Host ×2

▲2

Host ×3

▲2

Mismatch t=0.05 a=0.3

▲2

Mismatch t=0.15 a=0.7

▲2

Mismatch t=0.2 a=0.9

▲2

Mismatch t=0.3 a=1.2

▲2

Spread 3

▲2

Penalty rand=0.3

▲2

Penalty rand=0.7

▲2

Travel ×0.75

▲3

Travel ×2

▲3

Travel ×2.5

▲3

Travel ×3

▲3

Spread 2.1

▲3

Spread 2.5

▲3

Travel ×1.25

▲4

Baseline: #5·Lower rank = stronger

baseline

1 scenarios · #5

heat

10 scenarios · #5–#7

altitude

10 scenarios · #5–#7

travel

10 scenarios · #6–#9

host

5 scenarios · #5–#7

mismatch

5 scenarios · #5–#7

spread

5 scenarios · #5–#8

penalty

3 scenarios · #6–#7

uplift

2 scenarios · #5–#6

Austria

OddsFlow AI Analysis

Star Players

Tournament Probability

Strengths

Manager & Tactical Profile

Team Strength & Intelligence

H2H Matchup Predictions(47)

Sensitivity Analysis(51 scenarios)

Get 1 FREE Live AI Signal — No Delay

Austria

OddsFlow AI Analysis

Star Players

Tournament Probability

Strengths

Manager & Tactical Profile

Team Strength & Intelligence

H2H Matchup Predictions(47)

Sensitivity Analysis(51 scenarios)

Get 1 FREE Live AI Signal — No Delay