Ghana vs Panama Prediction, Tips & Odds
Ghana vs Panama
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About the Teams
Ghana
Panama
Head to Head
Last 1 Meetings (Ghana leads 1-0)Ghana and Panama have met once in their history, with Ghana winning that match 1-0 during the 2026 World Cup. Since there is only one competitive meeting, the sample size is too small to establish any significant pattern. The match took place recently in 2026, making the result more relevant, but it does not provide a comprehensive view of how these teams might perform against each other in future encounters.
Group L Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  England | 3 | 2 | 1 | 0 | 6 | 2 | 4 | 7 | WWWDW |
| 2 |  Croatia | 3 | 2 | 0 | 1 | 5 | 5 | 0 | 6 | LWWL |
| 3 | Ghana | 3 | 1 | 1 | 1 | 2 | 2 | 0 | 4 | LLDW |
| 4 | Panama | 3 | 0 | 0 | 3 | 0 | 4 | -4 | 0 | LLL |
Key Statistics
2026 SeasonGhana have won 3 of their last 11 matches, drawing 2 and losing 6.
Overall, the wider run reads 3W 2D 6L from the last 11 games (27% win rate). The form line has been negative, with defeats outweighing wins across the sample.
Panama have won 3 of their last 6 matches on the road, drawing 2 and losing 1. Their recent away fixtures include lost to Brazil 6-2 and beat South Africa 1-2.
Overall, the wider run reads 5W 4D 2L from the last 11 games (45% 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
0 playersGhana
No reported absences
Panama
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.
