Switzerland vs Canada Prediction, Tips & Odds
Switzerland vs Canada


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About the Teams
Switzerland
Canada
Head to Head
Last 1 Meetings (Switzerland leads 1-0)

Switzerland and Canada have faced each other once, with Switzerland winning that match 2-1 during the 2026 World Cup. Given the limited sample size of just one competitive meeting, it is difficult to establish any clear pattern between the two teams. The match took place recently in 2026, making it more relevant to current dynamics than older results. However, further encounters would be needed to draw more definitive conclusions about their head-to-head performance.
Group B Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 2 | 1 | 0 | 7 | 3 | 4 | 7 | LWWWW | |
| 2 | 3 | 1 | 1 | 1 | 8 | 3 | 5 | 4 | LWLWD | |
| 3 | 3 | 1 | 1 | 1 | 5 | 6 | -1 | 4 | LWLD | |
| 4 | 3 | 0 | 1 | 2 | 2 | 10 | -8 | 1 | LLD |
Key Statistics
2026 Season
Switzerland have won 7 of their last 9 matches at home, drawing 1 and losing 1. Their recent home fixtures include beat Algeria 2-0 and beat Canada 2-1.
Overall, the wider run reads 9W 4D 1L from the last 14 games (64% win rate). The form line is positive, with more wins than defeats across the sample.













Canada have won 3 of their last 3 matches on the road, drawing 0 and losing 0. Their recent away fixtures include beat Canada 0-1 and beat Wales 0-1.
Overall, the wider run reads 6W 5D 1L from the last 12 games (50% win rate). The form line is positive, with more wins than defeats across the sample.












Lineups
Lineups not yet announced
National-team lineups are genuinely unknown until 1 to 2 hours before kick-off, when the starting XI is confirmed. Until then, only predicted lineups are possible.
Unavailable Players
3 players
Switzerland1
Canada2
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The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.



