Bosnia & Herzegovina vs Qatar Prediction, Tips & Odds
Bosnia & Herzegovina vs Qatar


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About the Teams
Bosnia & Herzegovina
Qatar
Head to Head
Last 1 Meetings (Bosnia & Herzegovina leads 1-0)

Bosnia & Herzegovina has won 1 match against Qatar, with no draws or wins for Qatar. This record is based on a single competitive meeting in 2026, where Bosnia & Herzegovina triumphed 3-1. Given that there is only one match in this head-to-head history, it is insufficient to establish any discernible pattern between these teams.
Group B Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 2 | 1 | 0 | 7 | 3 | 4 | 7 | WWWWD | |
| 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
Bosnia & Herzegovina have won 1 of their last 4 matches at home, drawing 2 and losing 1. Their recent home fixtures include drew with Bosnia & Herzegovina 0-0 and drew with Bosnia & Herzegovina 1-1.
Overall, the wider run reads 3W 6D 2L from the last 11 games (27% win rate). The form line is positive, with more wins than defeats across the sample.













Qatar have won 0 of their last 3 matches on the road, drawing 2 and losing 1. Their recent away fixtures include lost to Rep. Of Ireland 1-0 and drew with Syria 1-1.
Overall, the wider run reads 1W 3D 4L from the last 8 games (13% win rate). The form line has been negative, with defeats outweighing wins 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
Bosnia & Herzegovina1
Qatar2
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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.



