Brazil vs Haiti Prediction, Tips & Odds
Brazil vs Haiti
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About the Teams
Brazil
Haiti
Head to Head
Last 1 Meetings (Brazil leads 1-0)Brazil and Haiti have met once in competitive matches, with Brazil winning that encounter 7-1 during the Copa America in June 2016. Since there is only one competitive meeting, the sample size is too small to claim a pattern. The result from 2016, while significant in its margin, does not provide a reliable basis for predicting future outcomes, especially as it is now several years old.
Group C Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Brazil | 3 | 2 | 1 | 0 | 7 | 1 | 6 | 7 | LWWWD |
| 2 |  Morocco | 3 | 2 | 1 | 0 | 6 | 3 | 3 | 7 | LWWWW |
| 3 |  Scotland | 3 | 1 | 0 | 2 | 1 | 4 | -3 | 3 | LLW |
| 4 | Haiti | 3 | 0 | 0 | 3 | 2 | 8 | -6 | 0 | LLL |
Key Statistics
2026 SeasonBrazil have won 7 of their last 9 matches at home, drawing 1 and losing 1. Their recent home fixtures include beat Japan 2-1 and beat Egypt 2-1.
Overall, the wider run reads 8W 1D 3L from the last 12 games (67% win rate). The form line is positive, with more wins than defeats across the sample.
Haiti have won 1 of their last 4 matches on the road, drawing 1 and losing 2. Their recent away fixtures include lost to Honduras 3-0 and beat Nicaragua 0-3.
Overall, the wider run reads 4W 3D 4L from the last 11 games (36% 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
1 playerBrazil1
Haiti
No reported absences
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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.
