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

OddsFlow AI gives Canada a 79.8% 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 Canada win the 2026 World Cup?

Canada has a 0.4% probability of winning the 2026 FIFA World Cup according to OddsFlow AI analysis. The team has an overall rating of 47/100 (Attack: 49, Midfield: 50, Defense: 43, Goalkeeping: 45).

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

Canada has an AI-generated overall rating of 47/100 for the 2026 World Cup. Breakdown: Attack 49, Midfield 50, Defense 43, Goalkeeping 45. Playing style: Balanced.

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

Canada's top players for the 2026 World Cup include: A. Davies (Defender, OPR 67, 1G 6A (1468min)); T. Oluwaseyi (Attacker, OPR 66, 8G 5A (1904min)); A. Johnston (Defender, OPR 65, OPR 65); C. Larin (Attacker, OPR 64, 10G 2A (2106min)); A. Ahmed (Midfielder, OPR 63, 4G 4A (1607min)).

What are Canada's strengths and weaknesses?

Weaknesses: Uncertain goalkeeper. Squad depth score: 81.0, average age: 26.1.

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

Canada's Dixon-Coles strength metrics: Attack power 49.2, Midfield control 49.1, Defensive solidity 42.2, GK rating 70.9. Lambda attack 1.29, lambda defense 1.13. Chemistry score 39, squad depth 81. Top scorer: C. Larin (10 goals).

Canada — World Cup 2026 AI Analysis (Rating 47/100)

OddsFlow AI Analysis

47綜合

Balanced

⚡進攻

⚙️中場

🛡️防守

🧤門將

25人數

26.1平均年齡

55.3平均OVR

81.0深度評分

47綜合

Balanced

⚡進攻

⚙️中場

🛡️防守

🧤門將

25人數

26.1平均年齡

55.3平均OVR

81.0深度評分

明星球員

A. Davies

Defender

1G 6A (1468min)

T. Oluwaseyi

Attacker

8G 5A (1904min)

A. Johnston

Defender

OPR 65

C. Larin

Attacker

10G 2A (2106min)

A. Ahmed

Midfielder

4G 4A (1607min)

賽事機率

0.4%冠軍冠軍

0.4%

79.8%小組出線小組出線

79.8%

劣勢

Uncertain goalkeeper

主教練 & 戰術檔案

· 任命

球隊實力分析

ATK

MID

DEF

1.29

λ Attack

1.13

λ Defense

Chemistry

Depth

5.5

Star Gap

26.1

Avg Age

Top Scorer

C. Larin

10 goals

Best Rated

N. Sigur

7.16

Club Clusters

Los Angeles FC (3)Villarreal (2)Toronto FC (2)

WC Experience

Appearances2

Best FinishGroup Stage

Last WC2022

Physical Resilience

Avg Mins/Season1,689

FatigueGood recovery — peak physical years

MiamiMODERATE

MonterreyMODERATE

Hot Climate %44%

Cooperation

Score41/100

Total Clubs19

Same-Club Pairs5

Same-League76

Average — typical international squad

H2H 對陣預測(47)

WinDrawLoss

南非

1-0▼

50%

26%

24%

xG 1.5 – 1.0O2.5 44%BTTS 48%

伊拉克

1-0▼

50%

26%

24%

xG 1.5 – 1.0O2.5 44%BTTS 48%

海地

0-1▼

50%

27%

24%

xG 1.5 – 1.0O2.5 44%BTTS 48%

South Korea

0-1▼

50%

25%

xG 1.5 – 1.0O2.5 45%BTTS 48%

Iran

0-1▼

49%

26%

25%

xG 1.5 – 1.0O2.5 44%BTTS 47%

庫拉索

0-1▼

49%

26%

25%

xG 1.5 – 1.0O2.5 44%BTTS 48%

烏茲別克

1-0▼

48%

27%

24%

xG 1.5 – 0.9O2.5 43%BTTS 47%

Cape Verde Islands

1-1▼

47%

25%

28%

xG 1.6 – 1.1O2.5 51%BTTS 54%

埃及

1-1▼

45%

25%

30%

xG 1.6 – 1.3O2.5 54%BTTS 58%

卡達

1-1▼

43%

25%

32%

xG 1.5 – 1.2O2.5 51%BTTS 55%

突尼西亞

1-1▼

41%

26%

32%

xG 1.4 – 1.2O2.5 48%BTTS 52%

迦納

1-1▼

41%

25%

34%

xG 1.4 – 1.3O2.5 50%BTTS 55%

澳洲

1-1▼

41%

25%

34%

xG 1.4 – 1.2O2.5 49%BTTS 52%

約旦

1-1▼

40%

27%

33%

xG 1.4 – 1.2O2.5 48%BTTS 53%

巴拿馬

1-1▼

40%

27%

33%

xG 1.3 – 1.2O2.5 45%BTTS 51%

Bosnia & Herzegovina

1-1▼

40%

25%

34%

xG 1.4 – 1.3O2.5 50%BTTS 55%

墨西哥

1-1▼

39%

25%

36%

xG 1.5 – 1.4O2.5 54%BTTS 57%

沙烏地阿拉伯

1-1▼

39%

26%

35%

xG 1.4 – 1.3O2.5 51%BTTS 55%

紐西蘭

1-1▼

39%

25%

36%

xG 1.4 – 1.3O2.5 51%BTTS 55%

阿爾及利亞

1-1▼

38%

25%

37%

xG 1.5 – 1.4O2.5 55%BTTS 58%

挪威

1-1▼

38%

25%

37%

xG 1.4 – 1.4O2.5 54%BTTS 57%

蘇格蘭

1-1▼

37%

26%

37%

xG 1.4 – 1.4O2.5 53%BTTS 57%

巴拉圭

1-1▼

37%

25%

37%

xG 1.3 – 1.3O2.5 49%BTTS 53%

哥倫比亞

1-1▼

37%

25%

38%

xG 1.4 – 1.4O2.5 52%BTTS 56%

Ivory Coast

1-1▼

37%

26%

37%

xG 1.4 – 1.4O2.5 51%BTTS 56%

厄瓜多

1-1▼

37%

27%

36%

xG 1.3 – 1.3O2.5 48%BTTS 53%

剛果民主共和國

1-1▼

37%

27%

37%

xG 1.3 – 1.3O2.5 50%BTTS 55%

摩洛哥

1-1▼

36%

26%

38%

xG 1.3 – 1.4O2.5 50%BTTS 54%

美國

1-1▼

36%

25%

39%

xG 1.3 – 1.4O2.5 51%BTTS 55%

瑞士

1-1▼

36%

25%

39%

xG 1.3 – 1.4O2.5 51%BTTS 55%

瑞典

1-1▼

35%

26%

39%

xG 1.3 – 1.4O2.5 50%BTTS 54%

Czech Republic

1-1▼

35%

26%

40%

xG 1.3 – 1.4O2.5 49%BTTS 54%

日本

1-1▼

34%

26%

40%

xG 1.3 – 1.4O2.5 51%BTTS 55%

奧地利

1-1▼

34%

26%

40%

xG 1.2 – 1.4O2.5 49%BTTS 53%

比利時

1-1▼

33%

25%

42%

xG 1.3 – 1.5O2.5 50%BTTS 54%

烏拉圭

1-1▼

32%

26%

41%

xG 1.2 – 1.4O2.5 50%BTTS 54%

克羅埃西亞

1-1▼

32%

25%

42%

xG 1.3 – 1.5O2.5 53%BTTS 57%

塞內加爾

1-1▼

32%

25%

43%

xG 1.2 – 1.5O2.5 51%BTTS 55%

荷蘭

1-1▼

32%

25%

44%

xG 1.2 – 1.5O2.5 52%BTTS 55%

土耳其

1-1▼

32%

26%

42%

xG 1.2 – 1.5O2.5 50%BTTS 54%

巴西

1-1▼

31%

26%

43%

xG 1.3 – 1.5O2.5 52%BTTS 56%

西班牙

1-1▼

31%

24%

45%

xG 1.2 – 1.5O2.5 52%BTTS 54%

阿根廷

1-1▼

31%

25%

43%

xG 1.3 – 1.5O2.5 53%BTTS 57%

德國

1-1▼

30%

25%

45%

xG 1.2 – 1.6O2.5 53%BTTS 56%

葡萄牙

1-1▼

29%

26%

45%

xG 1.1 – 1.5O2.5 49%BTTS 53%

英格蘭

1-1▼

28%

25%

46%

xG 1.2 – 1.6O2.5 50%BTTS 54%

法國

1-1▼

28%

25%

47%

xG 1.1 – 1.6O2.5 51%BTTS 54%

敏感度分析(51 scenarios)

Rank Distribution Across Scenarios

Host ×2

▼3

Travel ×1.5

▼2

Travel ×2

▼2

Travel ×2.5

▼2

Travel ×3

▼2

Travel ×1.75

▼2

Host ×1.5

▼2

Host ×3

▼2

Baseline

—

Heat ×0.75

—

Altitude ×1.25

—

Travel ×1.25

—

Mismatch t=0.05 a=0.3

—

Heat ×0

▲1

Heat ×0.5

▲1

Heat ×1.25

▲1

Heat ×1.5

▲1

Heat ×2

▲1

Heat ×2.5

▲1

Heat ×3

▲1

Heat ×0.25

▲1

Heat ×1.75

▲1

Altitude ×0

▲1

Altitude ×0.5

▲1

Altitude ×0.75

▲1

Altitude ×1.5

▲1

Altitude ×2

▲1

Altitude ×2.5

▲1

Altitude ×3

▲1

Altitude ×0.25

▲1

Altitude ×1.75

▲1

Travel ×0.75

▲1

Host ×0.5

▲1

Mismatch t=0.1 a=0.5

▲1

Mismatch t=0.15 a=0.7

▲1

Spread 1

▲1

Spread 1.5

▲1

Spread 2.1

▲1

Spread 2.5

▲1

Spread 3

▲1

Penalty rand=0.3

▲1

Penalty rand=0.5

▲1

Penalty rand=0.7

▲1

Uplift 1

▲1

Uplift 1.15

▲1

Travel ×0

#10

▲2

Travel ×0.5

#10

▲2

Travel ×0.25

#10

▲2

Host ×0

#10

▲2

Mismatch t=0.2 a=0.9

#10

▲2

Mismatch t=0.3 a=1.2

#10

▲2

Baseline: #8·Lower rank = stronger

baseline

1 scenarios · #8

heat

10 scenarios · #8–#9

altitude

10 scenarios · #8–#9

travel

10 scenarios · #6–#10

host

5 scenarios · #5–#10

mismatch

5 scenarios · #8–#10

spread

5 scenarios · #9

penalty

3 scenarios · #9

uplift

2 scenarios · #9

球隊實力分析

ATK

MID

DEF

1.29

λ Attack

1.13

λ Defense

Chemistry

Depth

5.5

Star Gap

26.1

Avg Age

Top Scorer

C. Larin

10 goals

Best Rated

N. Sigur

7.16

Club Clusters

Los Angeles FC (3)Villarreal (2)Toronto FC (2)

WC Experience

Appearances2

Best FinishGroup Stage

Last WC2022

Physical Resilience

Avg Mins/Season1,689

FatigueGood recovery — peak physical years

MiamiMODERATE

MonterreyMODERATE

Hot Climate %44%

Cooperation

Score41/100

Total Clubs19

Same-Club Pairs5

Same-League76

Average — typical international squad

H2H 對陣預測(47)

WinDrawLoss

南非

1-0▼

50%

26%

24%

xG 1.5 – 1.0O2.5 44%BTTS 48%

伊拉克

1-0▼

50%

26%

24%

xG 1.5 – 1.0O2.5 44%BTTS 48%

海地

0-1▼

50%

27%

24%

xG 1.5 – 1.0O2.5 44%BTTS 48%

South Korea

0-1▼

50%

25%

xG 1.5 – 1.0O2.5 45%BTTS 48%

Iran

0-1▼

49%

26%

25%

xG 1.5 – 1.0O2.5 44%BTTS 47%

庫拉索

0-1▼

49%

26%

25%

xG 1.5 – 1.0O2.5 44%BTTS 48%

烏茲別克

1-0▼

48%

27%

24%

xG 1.5 – 0.9O2.5 43%BTTS 47%

Cape Verde Islands

1-1▼

47%

25%

28%

xG 1.6 – 1.1O2.5 51%BTTS 54%

埃及

1-1▼

45%

25%

30%

xG 1.6 – 1.3O2.5 54%BTTS 58%

卡達

1-1▼

43%

25%

32%

xG 1.5 – 1.2O2.5 51%BTTS 55%

突尼西亞

1-1▼

41%

26%

32%

xG 1.4 – 1.2O2.5 48%BTTS 52%

迦納

1-1▼

41%

25%

34%

xG 1.4 – 1.3O2.5 50%BTTS 55%

澳洲

1-1▼

41%

25%

34%

xG 1.4 – 1.2O2.5 49%BTTS 52%

約旦

1-1▼

40%

27%

33%

xG 1.4 – 1.2O2.5 48%BTTS 53%

巴拿馬

1-1▼

40%

27%

33%

xG 1.3 – 1.2O2.5 45%BTTS 51%

Bosnia & Herzegovina

1-1▼

40%

25%

34%

xG 1.4 – 1.3O2.5 50%BTTS 55%

墨西哥

1-1▼

39%

25%

36%

xG 1.5 – 1.4O2.5 54%BTTS 57%

沙烏地阿拉伯

1-1▼

39%

26%

35%

xG 1.4 – 1.3O2.5 51%BTTS 55%

紐西蘭

1-1▼

39%

25%

36%

xG 1.4 – 1.3O2.5 51%BTTS 55%

阿爾及利亞

1-1▼

38%

25%

37%

xG 1.5 – 1.4O2.5 55%BTTS 58%

挪威

1-1▼

38%

25%

37%

xG 1.4 – 1.4O2.5 54%BTTS 57%

蘇格蘭

1-1▼

37%

26%

37%

xG 1.4 – 1.4O2.5 53%BTTS 57%

巴拉圭

1-1▼

37%

25%

37%

xG 1.3 – 1.3O2.5 49%BTTS 53%

哥倫比亞

1-1▼

37%

25%

38%

xG 1.4 – 1.4O2.5 52%BTTS 56%

Ivory Coast

1-1▼

37%

26%

37%

xG 1.4 – 1.4O2.5 51%BTTS 56%

厄瓜多

1-1▼

37%

27%

36%

xG 1.3 – 1.3O2.5 48%BTTS 53%

剛果民主共和國

1-1▼

37%

27%

37%

xG 1.3 – 1.3O2.5 50%BTTS 55%

摩洛哥

1-1▼

36%

26%

38%

xG 1.3 – 1.4O2.5 50%BTTS 54%

美國

1-1▼

36%

25%

39%

xG 1.3 – 1.4O2.5 51%BTTS 55%

瑞士

1-1▼

36%

25%

39%

xG 1.3 – 1.4O2.5 51%BTTS 55%

瑞典

1-1▼

35%

26%

39%

xG 1.3 – 1.4O2.5 50%BTTS 54%

Czech Republic

1-1▼

35%

26%

40%

xG 1.3 – 1.4O2.5 49%BTTS 54%

日本

1-1▼

34%

26%

40%

xG 1.3 – 1.4O2.5 51%BTTS 55%

奧地利

1-1▼

34%

26%

40%

xG 1.2 – 1.4O2.5 49%BTTS 53%

比利時

1-1▼

33%

25%

42%

xG 1.3 – 1.5O2.5 50%BTTS 54%

烏拉圭

1-1▼

32%

26%

41%

xG 1.2 – 1.4O2.5 50%BTTS 54%

克羅埃西亞

1-1▼

32%

25%

42%

xG 1.3 – 1.5O2.5 53%BTTS 57%

塞內加爾

1-1▼

32%

25%

43%

xG 1.2 – 1.5O2.5 51%BTTS 55%

荷蘭

1-1▼

32%

25%

44%

xG 1.2 – 1.5O2.5 52%BTTS 55%

土耳其

1-1▼

32%

26%

42%

xG 1.2 – 1.5O2.5 50%BTTS 54%

巴西

1-1▼

31%

26%

43%

xG 1.3 – 1.5O2.5 52%BTTS 56%

西班牙

1-1▼

31%

24%

45%

xG 1.2 – 1.5O2.5 52%BTTS 54%

阿根廷

1-1▼

31%

25%

43%

xG 1.3 – 1.5O2.5 53%BTTS 57%

德國

1-1▼

30%

25%

45%

xG 1.2 – 1.6O2.5 53%BTTS 56%

葡萄牙

1-1▼

29%

26%

45%

xG 1.1 – 1.5O2.5 49%BTTS 53%

英格蘭

1-1▼

28%

25%

46%

xG 1.2 – 1.6O2.5 50%BTTS 54%

法國

1-1▼

28%

25%

47%

xG 1.1 – 1.6O2.5 51%BTTS 54%

敏感度分析(51 scenarios)

Rank Distribution Across Scenarios

Host ×2

▼3

Travel ×1.5

▼2

Travel ×2

▼2

Travel ×2.5

▼2

Travel ×3

▼2

Travel ×1.75

▼2

Host ×1.5

▼2

Host ×3

▼2

Baseline

—

Heat ×0.75

—

Altitude ×1.25

—

Travel ×1.25

—

Mismatch t=0.05 a=0.3

—

Heat ×0

▲1

Heat ×0.5

▲1

Heat ×1.25

▲1

Heat ×1.5

▲1

Heat ×2

▲1

Heat ×2.5

▲1

Heat ×3

▲1

Heat ×0.25

▲1

Heat ×1.75

▲1

Altitude ×0

▲1

Altitude ×0.5

▲1

Altitude ×0.75

▲1

Altitude ×1.5

▲1

Altitude ×2

▲1

Altitude ×2.5

▲1

Altitude ×3

▲1

Altitude ×0.25

▲1

Altitude ×1.75

▲1

Travel ×0.75

▲1

Host ×0.5

▲1

Mismatch t=0.1 a=0.5

▲1

Mismatch t=0.15 a=0.7

▲1

Spread 1

▲1

Spread 1.5

▲1

Spread 2.1

▲1

Spread 2.5

▲1

Spread 3

▲1

Penalty rand=0.3

▲1

Penalty rand=0.5

▲1

Penalty rand=0.7

▲1

Uplift 1

▲1

Uplift 1.15

▲1

Travel ×0

#10

▲2

Travel ×0.5

#10

▲2

Travel ×0.25

#10

▲2

Host ×0

#10

▲2

Mismatch t=0.2 a=0.9

#10

▲2

Mismatch t=0.3 a=1.2

#10

▲2

Baseline: #8·Lower rank = stronger

baseline

1 scenarios · #8

heat

10 scenarios · #8–#9

altitude

10 scenarios · #8–#9

travel

10 scenarios · #6–#10

host

5 scenarios · #5–#10

mismatch

5 scenarios · #8–#10

spread

5 scenarios · #9

penalty

3 scenarios · #9

uplift

2 scenarios · #9

加拿大

OddsFlow AI Analysis

明星球員

賽事機率

劣勢

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

加拿大

OddsFlow AI Analysis

明星球員

賽事機率

劣勢

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