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

47종합

Balanced

⚡공격

⚙️미드필드

🛡️수비

🧤골키핑

25인원

26.1평균 나이

55.3평균 OVR

81.0깊이 점수

47종합

Balanced

⚡공격

⚙️미드필드

🛡️수비

🧤골키핑

25인원

26.1평균 나이

55.3평균 OVR

81.0깊이 점수

스타 선수

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)

대회 확률

0.4%우승우승

0.4%

79.8%조별 통과조별 통과

79.8%

약점

Uncertain goalkeeper

Manager & Tactical Profile

· Appointed

Team Strength & Intelligence

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 Matchup Predictions(47)

WinDrawLoss

남아프리카

1-0▼

50%

26%

24%

xG 1.5 – 1.0O2.5 44%BTTS 48%

이라크

1-0▼

50%

26%

24%

xG 1.5 – 1.0O2.5 44%BTTS 48%

아이티

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%

퀴라소

0-1▼

49%

26%

25%

xG 1.5 – 1.0O2.5 44%BTTS 48%

우즈베키스탄

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%

이집트

1-1▼

45%

25%

30%

xG 1.6 – 1.3O2.5 54%BTTS 58%

카타르

1-1▼

43%

25%

32%

xG 1.5 – 1.2O2.5 51%BTTS 55%

튀니지

1-1▼

41%

26%

32%

xG 1.4 – 1.2O2.5 48%BTTS 52%

가나

1-1▼

41%

25%

34%

xG 1.4 – 1.3O2.5 50%BTTS 55%

호주

1-1▼

41%

25%

34%

xG 1.4 – 1.2O2.5 49%BTTS 52%

요르단

1-1▼

40%

27%

33%

xG 1.4 – 1.2O2.5 48%BTTS 53%

파나마

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%

멕시코

1-1▼

39%

25%

36%

xG 1.5 – 1.4O2.5 54%BTTS 57%

사우디아라비아

1-1▼

39%

26%

35%

xG 1.4 – 1.3O2.5 51%BTTS 55%

뉴질랜드

1-1▼

39%

25%

36%

xG 1.4 – 1.3O2.5 51%BTTS 55%

알제리

1-1▼

38%

25%

37%

xG 1.5 – 1.4O2.5 55%BTTS 58%

노르웨이

1-1▼

38%

25%

37%

xG 1.4 – 1.4O2.5 54%BTTS 57%

스코틀랜드

1-1▼

37%

26%

37%

xG 1.4 – 1.4O2.5 53%BTTS 57%

파라과이

1-1▼

37%

25%

37%

xG 1.3 – 1.3O2.5 49%BTTS 53%

콜롬비아

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%

에콰도르

1-1▼

37%

27%

36%

xG 1.3 – 1.3O2.5 48%BTTS 53%

콩고민주공화국

1-1▼

37%

27%

37%

xG 1.3 – 1.3O2.5 50%BTTS 55%

모로코

1-1▼

36%

26%

38%

xG 1.3 – 1.4O2.5 50%BTTS 54%

미국

1-1▼

36%

25%

39%

xG 1.3 – 1.4O2.5 51%BTTS 55%

스위스

1-1▼

36%

25%

39%

xG 1.3 – 1.4O2.5 51%BTTS 55%

스웨덴

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%

일본

1-1▼

34%

26%

40%

xG 1.3 – 1.4O2.5 51%BTTS 55%

오스트리아

1-1▼

34%

26%

40%

xG 1.2 – 1.4O2.5 49%BTTS 53%

벨기에

1-1▼

33%

25%

42%

xG 1.3 – 1.5O2.5 50%BTTS 54%

우루과이

1-1▼

32%

26%

41%

xG 1.2 – 1.4O2.5 50%BTTS 54%

크로아티아

1-1▼

32%

25%

42%

xG 1.3 – 1.5O2.5 53%BTTS 57%

세네갈

1-1▼

32%

25%

43%

xG 1.2 – 1.5O2.5 51%BTTS 55%

네덜란드

1-1▼

32%

25%

44%

xG 1.2 – 1.5O2.5 52%BTTS 55%

튀르키예

1-1▼

32%

26%

42%

xG 1.2 – 1.5O2.5 50%BTTS 54%

브라질

1-1▼

31%

26%

43%

xG 1.3 – 1.5O2.5 52%BTTS 56%

스페인

1-1▼

31%

24%

45%

xG 1.2 – 1.5O2.5 52%BTTS 54%

아르헨티나

1-1▼

31%

25%

43%

xG 1.3 – 1.5O2.5 53%BTTS 57%

독일

1-1▼

30%

25%

45%

xG 1.2 – 1.6O2.5 53%BTTS 56%

포르투갈

1-1▼

29%

26%

45%

xG 1.1 – 1.5O2.5 49%BTTS 53%

잉글랜드

1-1▼

28%

25%

46%

xG 1.2 – 1.6O2.5 50%BTTS 54%

프랑스

1-1▼

28%

25%

47%

xG 1.1 – 1.6O2.5 51%BTTS 54%

Sensitivity Analysis(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

Team Strength & Intelligence

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 Matchup Predictions(47)

WinDrawLoss

남아프리카

1-0▼

50%

26%

24%

xG 1.5 – 1.0O2.5 44%BTTS 48%

이라크

1-0▼

50%

26%

24%

xG 1.5 – 1.0O2.5 44%BTTS 48%

아이티

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%

퀴라소

0-1▼

49%

26%

25%

xG 1.5 – 1.0O2.5 44%BTTS 48%

우즈베키스탄

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%

이집트

1-1▼

45%

25%

30%

xG 1.6 – 1.3O2.5 54%BTTS 58%

카타르

1-1▼

43%

25%

32%

xG 1.5 – 1.2O2.5 51%BTTS 55%

튀니지

1-1▼

41%

26%

32%

xG 1.4 – 1.2O2.5 48%BTTS 52%

가나

1-1▼

41%

25%

34%

xG 1.4 – 1.3O2.5 50%BTTS 55%

호주

1-1▼

41%

25%

34%

xG 1.4 – 1.2O2.5 49%BTTS 52%

요르단

1-1▼

40%

27%

33%

xG 1.4 – 1.2O2.5 48%BTTS 53%

파나마

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%

멕시코

1-1▼

39%

25%

36%

xG 1.5 – 1.4O2.5 54%BTTS 57%

사우디아라비아

1-1▼

39%

26%

35%

xG 1.4 – 1.3O2.5 51%BTTS 55%

뉴질랜드

1-1▼

39%

25%

36%

xG 1.4 – 1.3O2.5 51%BTTS 55%

알제리

1-1▼

38%

25%

37%

xG 1.5 – 1.4O2.5 55%BTTS 58%

노르웨이

1-1▼

38%

25%

37%

xG 1.4 – 1.4O2.5 54%BTTS 57%

스코틀랜드

1-1▼

37%

26%

37%

xG 1.4 – 1.4O2.5 53%BTTS 57%

파라과이

1-1▼

37%

25%

37%

xG 1.3 – 1.3O2.5 49%BTTS 53%

콜롬비아

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%

에콰도르

1-1▼

37%

27%

36%

xG 1.3 – 1.3O2.5 48%BTTS 53%

콩고민주공화국

1-1▼

37%

27%

37%

xG 1.3 – 1.3O2.5 50%BTTS 55%

모로코

1-1▼

36%

26%

38%

xG 1.3 – 1.4O2.5 50%BTTS 54%

미국

1-1▼

36%

25%

39%

xG 1.3 – 1.4O2.5 51%BTTS 55%

스위스

1-1▼

36%

25%

39%

xG 1.3 – 1.4O2.5 51%BTTS 55%

스웨덴

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%

일본

1-1▼

34%

26%

40%

xG 1.3 – 1.4O2.5 51%BTTS 55%

오스트리아

1-1▼

34%

26%

40%

xG 1.2 – 1.4O2.5 49%BTTS 53%

벨기에

1-1▼

33%

25%

42%

xG 1.3 – 1.5O2.5 50%BTTS 54%

우루과이

1-1▼

32%

26%

41%

xG 1.2 – 1.4O2.5 50%BTTS 54%

크로아티아

1-1▼

32%

25%

42%

xG 1.3 – 1.5O2.5 53%BTTS 57%

세네갈

1-1▼

32%

25%

43%

xG 1.2 – 1.5O2.5 51%BTTS 55%

네덜란드

1-1▼

32%

25%

44%

xG 1.2 – 1.5O2.5 52%BTTS 55%

튀르키예

1-1▼

32%

26%

42%

xG 1.2 – 1.5O2.5 50%BTTS 54%

브라질

1-1▼

31%

26%

43%

xG 1.3 – 1.5O2.5 52%BTTS 56%

스페인

1-1▼

31%

24%

45%

xG 1.2 – 1.5O2.5 52%BTTS 54%

아르헨티나

1-1▼

31%

25%

43%

xG 1.3 – 1.5O2.5 53%BTTS 57%

독일

1-1▼

30%

25%

45%

xG 1.2 – 1.6O2.5 53%BTTS 56%

포르투갈

1-1▼

29%

26%

45%

xG 1.1 – 1.5O2.5 49%BTTS 53%

잉글랜드

1-1▼

28%

25%

46%

xG 1.2 – 1.6O2.5 50%BTTS 54%

프랑스

1-1▼

28%

25%

47%

xG 1.1 – 1.6O2.5 51%BTTS 54%

Sensitivity Analysis(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

캐나다

OddsFlow AI Analysis

스타 선수

대회 확률

약점

Manager & Tactical Profile

Team Strength & Intelligence

H2H Matchup Predictions(47)

Sensitivity Analysis(51 scenarios)

무료 라이브 AI 시그널 1경기 — 딜레이 없음

캐나다

OddsFlow AI Analysis

스타 선수

대회 확률

약점

Manager & Tactical Profile

Team Strength & Intelligence

H2H Matchup Predictions(47)

Sensitivity Analysis(51 scenarios)

무료 라이브 AI 시그널 1경기 — 딜레이 없음