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

53綜合

Total football

⚡進攻

⚙️中場

🛡️防守

🧤門將

25人數

27.6平均年齡

59.8平均OVR

86.0深度評分

53綜合

Total football

⚡進攻

⚙️中場

🛡️防守

🧤門將

25人數

27.6平均年齡

59.8平均OVR

86.0深度評分

明星球員

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)

賽事機率

1.3%冠軍冠軍

1.3%

78.8%小組出線小組出線

78.8%

優勢

Top-class goalkeeper

Deep squad rotation

主教練 & 戰術檔案

· 任命

球隊實力分析

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 對陣預測(47)

WinDrawLoss

庫拉索

1-0▼

54%

25%

21%

xG 1.6 – 0.9O2.5 45%BTTS 47%

伊拉克

0-1▼

54%

26%

21%

xG 1.6 – 0.9O2.5 44%BTTS 47%

海地

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%

南非

0-1▼

52%

26%

22%

xG 1.5 – 0.9O2.5 43%BTTS 46%

烏茲別克

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%

卡達

0-1▼

50%

24%

25%

xG 1.6 – 1.0O2.5 48%BTTS 51%

埃及

1-1▼

48%

25%

27%

xG 1.6 – 1.2O2.5 53%BTTS 56%

突尼西亞

1-1▼

47%

26%

27%

xG 1.4 – 1.0O2.5 45%BTTS 49%

迦納

1-1▼

47%

26%

27%

xG 1.5 – 1.1O2.5 47%BTTS 50%

約旦

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%

巴拿馬

1-1▼

45%

27%

28%

xG 1.4 – 1.0O2.5 43%BTTS 47%

挪威

1-1▼

44%

26%

31%

xG 1.5 – 1.2O2.5 50%BTTS 54%

蘇格蘭

1-1▼

43%

26%

31%

xG 1.4 – 1.1O2.5 47%BTTS 52%

厄瓜多

1-1▼

43%

27%

29%

xG 1.3 – 1.1O2.5 43%BTTS 49%

加拿大

1-1▼

43%

26%

31%

xG 1.5 – 1.2O2.5 50%BTTS 54%

澳洲

1-1▼

43%

26%

31%

xG 1.4 – 1.2O2.5 48%BTTS 52%

沙烏地阿拉伯

1-1▼

43%

25%

32%

xG 1.4 – 1.2O2.5 49%BTTS 53%

阿爾及利亞

1-1▼

43%

24%

33%

xG 1.5 – 1.3O2.5 53%BTTS 57%

墨西哥

1-1▼

43%

24%

33%

xG 1.5 – 1.3O2.5 54%BTTS 56%

哥倫比亞

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%

巴拉圭

1-1▼

42%

27%

31%

xG 1.4 – 1.1O2.5 46%BTTS 51%

摩洛哥

1-1▼

42%

27%

31%

xG 1.4 – 1.1O2.5 46%BTTS 50%

紐西蘭

1-1▼

42%

26%

32%

xG 1.4 – 1.2O2.5 50%BTTS 53%

美國

1-1▼

41%

26%

33%

xG 1.4 – 1.2O2.5 47%BTTS 52%

瑞典

1-1▼

41%

27%

32%

xG 1.3 – 1.2O2.5 45%BTTS 50%

瑞士

1-1▼

40%

27%

33%

xG 1.4 – 1.2O2.5 46%BTTS 52%

剛果民主共和國

1-1▼

40%

26%

34%

xG 1.4 – 1.3O2.5 50%BTTS 54%

比利時

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%

荷蘭

1-1▼

38%

26%

35%

xG 1.3 – 1.3O2.5 47%BTTS 52%

塞內加爾

1-1▼

38%

27%

35%

xG 1.3 – 1.2O2.5 47%BTTS 52%

克羅埃西亞

1-1▼

38%

27%

35%

xG 1.3 – 1.3O2.5 48%BTTS 53%

巴西

1-1▼

38%

26%

36%

xG 1.3 – 1.3O2.5 48%BTTS 52%

烏拉圭

1-1▼

38%

27%

35%

xG 1.3 – 1.2O2.5 46%BTTS 51%

日本

1-1▼

38%

26%

36%

xG 1.4 – 1.3O2.5 50%BTTS 54%

阿根廷

1-1▼

37%

26%

36%

xG 1.3 – 1.3O2.5 48%BTTS 53%

西班牙

1-1▼

37%

27%

36%

xG 1.3 – 1.3O2.5 47%BTTS 52%

德國

1-1▼

36%

26%

38%

xG 1.3 – 1.3O2.5 48%BTTS 53%

土耳其

1-1▼

35%

26%

39%

xG 1.3 – 1.4O2.5 49%BTTS 52%

英格蘭

1-1▼

33%

26%

41%

xG 1.2 – 1.4O2.5 49%BTTS 53%

法國

1-1▼

32%

26%

42%

xG 1.2 – 1.4O2.5 48%BTTS 53%

葡萄牙

1-1▼

32%

26%

41%

xG 1.2 – 1.4O2.5 47%BTTS 51%

敏感度分析(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

球隊實力分析

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 對陣預測(47)

WinDrawLoss

庫拉索

1-0▼

54%

25%

21%

xG 1.6 – 0.9O2.5 45%BTTS 47%

伊拉克

0-1▼

54%

26%

21%

xG 1.6 – 0.9O2.5 44%BTTS 47%

海地

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%

南非

0-1▼

52%

26%

22%

xG 1.5 – 0.9O2.5 43%BTTS 46%

烏茲別克

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%

卡達

0-1▼

50%

24%

25%

xG 1.6 – 1.0O2.5 48%BTTS 51%

埃及

1-1▼

48%

25%

27%

xG 1.6 – 1.2O2.5 53%BTTS 56%

突尼西亞

1-1▼

47%

26%

27%

xG 1.4 – 1.0O2.5 45%BTTS 49%

迦納

1-1▼

47%

26%

27%

xG 1.5 – 1.1O2.5 47%BTTS 50%

約旦

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%

巴拿馬

1-1▼

45%

27%

28%

xG 1.4 – 1.0O2.5 43%BTTS 47%

挪威

1-1▼

44%

26%

31%

xG 1.5 – 1.2O2.5 50%BTTS 54%

蘇格蘭

1-1▼

43%

26%

31%

xG 1.4 – 1.1O2.5 47%BTTS 52%

厄瓜多

1-1▼

43%

27%

29%

xG 1.3 – 1.1O2.5 43%BTTS 49%

加拿大

1-1▼

43%

26%

31%

xG 1.5 – 1.2O2.5 50%BTTS 54%

澳洲

1-1▼

43%

26%

31%

xG 1.4 – 1.2O2.5 48%BTTS 52%

沙烏地阿拉伯

1-1▼

43%

25%

32%

xG 1.4 – 1.2O2.5 49%BTTS 53%

阿爾及利亞

1-1▼

43%

24%

33%

xG 1.5 – 1.3O2.5 53%BTTS 57%

墨西哥

1-1▼

43%

24%

33%

xG 1.5 – 1.3O2.5 54%BTTS 56%

哥倫比亞

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%

巴拉圭

1-1▼

42%

27%

31%

xG 1.4 – 1.1O2.5 46%BTTS 51%

摩洛哥

1-1▼

42%

27%

31%

xG 1.4 – 1.1O2.5 46%BTTS 50%

紐西蘭

1-1▼

42%

26%

32%

xG 1.4 – 1.2O2.5 50%BTTS 53%

美國

1-1▼

41%

26%

33%

xG 1.4 – 1.2O2.5 47%BTTS 52%

瑞典

1-1▼

41%

27%

32%

xG 1.3 – 1.2O2.5 45%BTTS 50%

瑞士

1-1▼

40%

27%

33%

xG 1.4 – 1.2O2.5 46%BTTS 52%

剛果民主共和國

1-1▼

40%

26%

34%

xG 1.4 – 1.3O2.5 50%BTTS 54%

比利時

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%

荷蘭

1-1▼

38%

26%

35%

xG 1.3 – 1.3O2.5 47%BTTS 52%

塞內加爾

1-1▼

38%

27%

35%

xG 1.3 – 1.2O2.5 47%BTTS 52%

克羅埃西亞

1-1▼

38%

27%

35%

xG 1.3 – 1.3O2.5 48%BTTS 53%

巴西

1-1▼

38%

26%

36%

xG 1.3 – 1.3O2.5 48%BTTS 52%

烏拉圭

1-1▼

38%

27%

35%

xG 1.3 – 1.2O2.5 46%BTTS 51%

日本

1-1▼

38%

26%

36%

xG 1.4 – 1.3O2.5 50%BTTS 54%

阿根廷

1-1▼

37%

26%

36%

xG 1.3 – 1.3O2.5 48%BTTS 53%

西班牙

1-1▼

37%

27%

36%

xG 1.3 – 1.3O2.5 47%BTTS 52%

德國

1-1▼

36%

26%

38%

xG 1.3 – 1.3O2.5 48%BTTS 53%

土耳其

1-1▼

35%

26%

39%

xG 1.3 – 1.4O2.5 49%BTTS 52%

英格蘭

1-1▼

33%

26%

41%

xG 1.2 – 1.4O2.5 49%BTTS 53%

法國

1-1▼

32%

26%

42%

xG 1.2 – 1.4O2.5 48%BTTS 53%

葡萄牙

1-1▼

32%

26%

41%

xG 1.2 – 1.4O2.5 47%BTTS 51%

敏感度分析(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

奧地利

OddsFlow AI Analysis

明星球員

賽事機率

優勢

主教練 & 戰術檔案

球隊實力分析

H2H 對陣預測(47)

敏感度分析(51 scenarios)

免費領取 1 場比賽的即時 AI Signal

奧地利

OddsFlow AI Analysis

明星球員

賽事機率

優勢

主教練 & 戰術檔案

球隊實力分析

H2H 對陣預測(47)

敏感度分析(51 scenarios)

免費領取 1 場比賽的即時 AI Signal