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

53종합

Total football

⚡공격

⚙️미드필드

🛡️수비

🧤골키핑

25인원

27.6평균 나이

59.8평균 OVR

86.0깊이 점수

53종합

Total football

⚡공격

⚙️미드필드

🛡️수비

🧤골키핑

25인원

27.6평균 나이

59.8평균 OVR

86.0깊이 점수

스타 선수

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)

대회 확률

1.3%우승우승

1.3%

78.8%조별 통과조별 통과

78.8%

강점

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

퀴라소

1-0▼

54%

25%

21%

xG 1.6 – 0.9O2.5 45%BTTS 47%

이라크

0-1▼

54%

26%

21%

xG 1.6 – 0.9O2.5 44%BTTS 47%

아이티

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%

남아프리카

0-1▼

52%

26%

22%

xG 1.5 – 0.9O2.5 43%BTTS 46%

우즈베키스탄

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%

카타르

0-1▼

50%

24%

25%

xG 1.6 – 1.0O2.5 48%BTTS 51%

이집트

1-1▼

48%

25%

27%

xG 1.6 – 1.2O2.5 53%BTTS 56%

튀니지

1-1▼

47%

26%

27%

xG 1.4 – 1.0O2.5 45%BTTS 49%

가나

1-1▼

47%

26%

27%

xG 1.5 – 1.1O2.5 47%BTTS 50%

요르단

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%

파나마

1-1▼

45%

27%

28%

xG 1.4 – 1.0O2.5 43%BTTS 47%

노르웨이

1-1▼

44%

26%

31%

xG 1.5 – 1.2O2.5 50%BTTS 54%

스코틀랜드

1-1▼

43%

26%

31%

xG 1.4 – 1.1O2.5 47%BTTS 52%

에콰도르

1-1▼

43%

27%

29%

xG 1.3 – 1.1O2.5 43%BTTS 49%

캐나다

1-1▼

43%

26%

31%

xG 1.5 – 1.2O2.5 50%BTTS 54%

호주

1-1▼

43%

26%

31%

xG 1.4 – 1.2O2.5 48%BTTS 52%

사우디아라비아

1-1▼

43%

25%

32%

xG 1.4 – 1.2O2.5 49%BTTS 53%

알제리

1-1▼

43%

24%

33%

xG 1.5 – 1.3O2.5 53%BTTS 57%

멕시코

1-1▼

43%

24%

33%

xG 1.5 – 1.3O2.5 54%BTTS 56%

콜롬비아

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%

파라과이

1-1▼

42%

27%

31%

xG 1.4 – 1.1O2.5 46%BTTS 51%

모로코

1-1▼

42%

27%

31%

xG 1.4 – 1.1O2.5 46%BTTS 50%

뉴질랜드

1-1▼

42%

26%

32%

xG 1.4 – 1.2O2.5 50%BTTS 53%

미국

1-1▼

41%

26%

33%

xG 1.4 – 1.2O2.5 47%BTTS 52%

스웨덴

1-1▼

41%

27%

32%

xG 1.3 – 1.2O2.5 45%BTTS 50%

스위스

1-1▼

40%

27%

33%

xG 1.4 – 1.2O2.5 46%BTTS 52%

콩고민주공화국

1-1▼

40%

26%

34%

xG 1.4 – 1.3O2.5 50%BTTS 54%

벨기에

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%

네덜란드

1-1▼

38%

26%

35%

xG 1.3 – 1.3O2.5 47%BTTS 52%

세네갈

1-1▼

38%

27%

35%

xG 1.3 – 1.2O2.5 47%BTTS 52%

크로아티아

1-1▼

38%

27%

35%

xG 1.3 – 1.3O2.5 48%BTTS 53%

브라질

1-1▼

38%

26%

36%

xG 1.3 – 1.3O2.5 48%BTTS 52%

우루과이

1-1▼

38%

27%

35%

xG 1.3 – 1.2O2.5 46%BTTS 51%

일본

1-1▼

38%

26%

36%

xG 1.4 – 1.3O2.5 50%BTTS 54%

아르헨티나

1-1▼

37%

26%

36%

xG 1.3 – 1.3O2.5 48%BTTS 53%

스페인

1-1▼

37%

27%

36%

xG 1.3 – 1.3O2.5 47%BTTS 52%

독일

1-1▼

36%

26%

38%

xG 1.3 – 1.3O2.5 48%BTTS 53%

튀르키예

1-1▼

35%

26%

39%

xG 1.3 – 1.4O2.5 49%BTTS 52%

잉글랜드

1-1▼

33%

26%

41%

xG 1.2 – 1.4O2.5 49%BTTS 53%

프랑스

1-1▼

32%

26%

42%

xG 1.2 – 1.4O2.5 48%BTTS 53%

포르투갈

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

퀴라소

1-0▼

54%

25%

21%

xG 1.6 – 0.9O2.5 45%BTTS 47%

이라크

0-1▼

54%

26%

21%

xG 1.6 – 0.9O2.5 44%BTTS 47%

아이티

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%

남아프리카

0-1▼

52%

26%

22%

xG 1.5 – 0.9O2.5 43%BTTS 46%

우즈베키스탄

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%

카타르

0-1▼

50%

24%

25%

xG 1.6 – 1.0O2.5 48%BTTS 51%

이집트

1-1▼

48%

25%

27%

xG 1.6 – 1.2O2.5 53%BTTS 56%

튀니지

1-1▼

47%

26%

27%

xG 1.4 – 1.0O2.5 45%BTTS 49%

가나

1-1▼

47%

26%

27%

xG 1.5 – 1.1O2.5 47%BTTS 50%

요르단

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%

파나마

1-1▼

45%

27%

28%

xG 1.4 – 1.0O2.5 43%BTTS 47%

노르웨이

1-1▼

44%

26%

31%

xG 1.5 – 1.2O2.5 50%BTTS 54%

스코틀랜드

1-1▼

43%

26%

31%

xG 1.4 – 1.1O2.5 47%BTTS 52%

에콰도르

1-1▼

43%

27%

29%

xG 1.3 – 1.1O2.5 43%BTTS 49%

캐나다

1-1▼

43%

26%

31%

xG 1.5 – 1.2O2.5 50%BTTS 54%

호주

1-1▼

43%

26%

31%

xG 1.4 – 1.2O2.5 48%BTTS 52%

사우디아라비아

1-1▼

43%

25%

32%

xG 1.4 – 1.2O2.5 49%BTTS 53%

알제리

1-1▼

43%

24%

33%

xG 1.5 – 1.3O2.5 53%BTTS 57%

멕시코

1-1▼

43%

24%

33%

xG 1.5 – 1.3O2.5 54%BTTS 56%

콜롬비아

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%

파라과이

1-1▼

42%

27%

31%

xG 1.4 – 1.1O2.5 46%BTTS 51%

모로코

1-1▼

42%

27%

31%

xG 1.4 – 1.1O2.5 46%BTTS 50%

뉴질랜드

1-1▼

42%

26%

32%

xG 1.4 – 1.2O2.5 50%BTTS 53%

미국

1-1▼

41%

26%

33%

xG 1.4 – 1.2O2.5 47%BTTS 52%

스웨덴

1-1▼

41%

27%

32%

xG 1.3 – 1.2O2.5 45%BTTS 50%

스위스

1-1▼

40%

27%

33%

xG 1.4 – 1.2O2.5 46%BTTS 52%

콩고민주공화국

1-1▼

40%

26%

34%

xG 1.4 – 1.3O2.5 50%BTTS 54%

벨기에

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%

네덜란드

1-1▼

38%

26%

35%

xG 1.3 – 1.3O2.5 47%BTTS 52%

세네갈

1-1▼

38%

27%

35%

xG 1.3 – 1.2O2.5 47%BTTS 52%

크로아티아

1-1▼

38%

27%

35%

xG 1.3 – 1.3O2.5 48%BTTS 53%

브라질

1-1▼

38%

26%

36%

xG 1.3 – 1.3O2.5 48%BTTS 52%

우루과이

1-1▼

38%

27%

35%

xG 1.3 – 1.2O2.5 46%BTTS 51%

일본

1-1▼

38%

26%

36%

xG 1.4 – 1.3O2.5 50%BTTS 54%

아르헨티나

1-1▼

37%

26%

36%

xG 1.3 – 1.3O2.5 48%BTTS 53%

스페인

1-1▼

37%

27%

36%

xG 1.3 – 1.3O2.5 47%BTTS 52%

독일

1-1▼

36%

26%

38%

xG 1.3 – 1.3O2.5 48%BTTS 53%

튀르키예

1-1▼

35%

26%

39%

xG 1.3 – 1.4O2.5 49%BTTS 52%

잉글랜드

1-1▼

33%

26%

41%

xG 1.2 – 1.4O2.5 49%BTTS 53%

프랑스

1-1▼

32%

26%

42%

xG 1.2 – 1.4O2.5 48%BTTS 53%

포르투갈

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

오스트리아

OddsFlow AI Analysis

스타 선수

대회 확률

강점

Manager & Tactical Profile

Team Strength & Intelligence

H2H Matchup Predictions(47)

Sensitivity Analysis(51 scenarios)

무료 라이브 AI 시그널 1경기 — 딜레이 없음

오스트리아

OddsFlow AI Analysis

스타 선수

대회 확률

강점

Manager & Tactical Profile

Team Strength & Intelligence

H2H Matchup Predictions(47)

Sensitivity Analysis(51 scenarios)

무료 라이브 AI 시그널 1경기 — 딜레이 없음