England vs Ghana Prediction, Tips & Odds
England vs Ghana


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About the Teams
England
Ghana
Head to Head
Last 1 Meetings (evenly matched 0-0)

In their only competitive meeting, England and Ghana played to a 0-0 draw in the 2026 World Cup. Since there is only one match in this sample, it is too small to claim a pattern between the teams. The encounter was recent, occurring in 2026, but the lack of additional matches limits the ability to draw any significant conclusions about their head-to-head dynamics.
Group L Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 2 | 1 | 0 | 6 | 2 | 4 | 7 | WWWWD | |
| 2 | 3 | 2 | 0 | 1 | 5 | 5 | 0 | 6 | LWWL | |
| 3 | 3 | 1 | 1 | 1 | 2 | 2 | 0 | 4 | LLDW | |
| 4 | 3 | 0 | 0 | 3 | 0 | 4 | -4 | 0 | LLL |
Key Statistics
2026 Season
England have won 7 of their last 11 matches at home, drawing 2 and losing 2. Their recent home fixtures include beat England 2-1 and drew with England 0-0.
Overall, the wider run reads 14W 2D 2L from the last 18 games (78% win rate). The form line is positive, with more wins than defeats across the sample.













Ghana have won 1 of their last 9 matches on the road, drawing 2 and losing 6. Their recent away fixtures include lost to Ghana 2-1 and drew with Wales 1-1.
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.












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 players
England
No reported absences
Ghana
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.


