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FIFA World Cup · Matchday 2

Recap: Canada vs Qatar

Thursday June 18, 2026 22:00 Match finished

Final score

6 0

Match over: Canada - Qatar. Our initial AI prediction had Canada favored at 43.6%. Compare reality with probabilities to calibrate your read on upcoming FIFA World Cup matches.

On jeudi juin 18, 2026, Canada and Qatar face off in the FIFA World Cup. Talacote's AI Predictor ran this match through Poisson, ELO, and Dixon-Coles models: our forecast gives Canada a slight edge.

Canada (rank 2, 1 pts) is looking to string together strong results against Qatar (rank 3, 1 pts). Motivation and momentum will weigh as much as raw stats in this FIFA World Cup fixture.

Key takeaways

  • 🎯 Key scorer for Canada: Cyle Larin (1)
  • 🎯 Key scorer for Qatar: Boualem Khoukhi (1)
  • 📊 Tight standings: Canada (2th) and Qatar (3th) within 0 pts
  • 🎯 Both teams scored in 100% of Canada's recent matches
  • 🗓️ Matchday 2, FIFA World Cup

AI Predictor Forecast

Canada wins
43.6%
Draw
31.7%
Qatar wins
24.7%
Most likely score
1-1
Over 2.5 goals
46%
Both teams to score
50%
Expected goals (xG)
1.47 - 1.03

💸 Replay: if you had followed our prediction

Our AI said: Canada (43.6%, Odds 2.41)

✅ Correct prediction

Stake Total return Net profit
10 $ 24.10 $ +14.10 $
50 $ 120.50 $ +70.50 $
100 $ 241.00 $ +141.00 $
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League standings

Canada
2 (1 pts)
Qatar
3 (1 pts)

Recent form details (last 6 matches)

Canada

Recent form details (last 6 matches)

D
0/1
W
1/1
D
0/1
L
Goals scored/match 1.00
Goals conceded/match 1.00
Both teams to score 100%
Over 2.5 goals 0%
  • 2026-06-12 Canada 1-1 Bosnia-Herzegovina

⚽ Top scorer : Cyle Larin (1)

Canada arrives with a 0W/1D/0L record over its last 6 matches, scoring 1.00 goal(s) on average and conceding 1.00. Over 2.5 goals at 0%, BTTS at 100%.

Qatar

Recent form details (last 6 matches)

D
0/1
W
1/1
D
0/1
L
Goals scored/match 1.00
Goals conceded/match 1.00
Both teams to score 100%
Over 2.5 goals 0%
  • 2026-06-13 Qatar 1-1 Switzerland

⚽ Top scorer : Boualem Khoukhi (1)

Qatar arrives with a 0W/1D/0L record over its last 6 matches, scoring 1.00 goal(s) on average and conceding 1.00. Over 2.5 goals at 0%, BTTS at 100%.

Our analysis

The table gap between Canada (2 place) and Qatar (3 place) partly explains our AI's confidence in Canada. Expected goals are 1.47 for Canada and 1.03 for Qatar, steering the model toward a win for the dominant side. Recent history backs this trend.

How our AI reaches this prediction

Concretely, the Poisson model estimates goal distribution from adjusted xG averages, ELO recalibrates per recent performance, and Dixon-Coles corrects low scorelines (0-0, 1-0, 1-1). Triangulation produces the final forecast: 43.6% / 31.7% / 24.7%.

🎯 Key takeaways

  • Canada is in the top 3 of FIFA World Cup (2, 1 pts).
  • Qatar is in the top 3 of FIFA World Cup (3, 1 pts).
  • Both teams have scored in 100% of Canada's recent matches.
  • Both teams have scored in 100% of Qatar's recent matches.
  • Canada relies on Cyle Larin (1) as the FIFA World Cup top scorer.
  • Qatar relies on Boualem Khoukhi (1) as the FIFA World Cup top scorer.

Our verdict

Bottom line: our models converge on a Canada win (43.6%) with a typical scoreline of 1-1. Worth noting the 46% Over 2.5 reading and the 50% BTTS — two markets to study.

Frequently asked questions

When is Canada vs Qatar played? +

The Canada - Qatar match is scheduled for jeudi juin 18, 2026 at 22:00 in the FIFA World Cup.

Who is the favorite between Canada and Qatar? +

Our AI Predictor picks Canada as the favorite with a 43.6% win probability. Full odds: 43.6% for Canada, 31.7% draw, 24.7% for Qatar.

What is the most likely score for Canada vs Qatar? +

Our Poisson model projects a final score of 1-1, with expected goals (xG) of 1.47 for Canada and 1.03 for Qatar.

Will there be over 2.5 goals in this match? +

Our AI estimates the Over 2.5 goals probability at 46% for this Canada - Qatar fixture.

How does Talacote compute this prediction? +

Our AI Predictor combines three algorithms: Poisson for goal distribution, ELO for relative team strength, and Dixon-Coles for low-score adjustment. The analysis cross-references form, standings, and historical data.

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