Belgium vs Egypt Prediction, Tips & Odds
Belgium vs Egypt


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About the Teams
Belgium
Egypt
Head to Head
Last 3 Meetings (evenly matched 1-1)





In the last three matches between Belgium and Egypt, the record stands at one win for Belgium, one draw, and one win for Egypt. The meetings include one competitive match from the 2026 World Cup, which ended in a 1-1 draw, alongside two friendlies from 2018 and 2022. The most recent friendly saw Egypt winning 2-1, while Belgium had a 3-0 victory in the earlier friendly. Given the limited sample size of competitive encounters, it is difficult to assert a clear trend between these teams.
Group G Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 1 | 2 | 0 | 6 | 2 | 4 | 5 | LWWWD | |
| 2 | 3 | 1 | 2 | 0 | 5 | 3 | 2 | 5 | LWDWD | |
| 3 | 3 | 0 | 3 | 0 | 3 | 3 | 0 | 3 | DDD | |
| 4 | 3 | 0 | 1 | 2 | 4 | 10 | -6 | 1 | LLD |
Key Statistics
2026 Season
Belgium have won 5 of their last 8 matches at home, drawing 3 and losing 0. Their recent home fixtures include beat Senegal 3-2 and drew with Iran 0-0.
Overall, the wider run reads 10W 5D 0L from the last 15 games (67% win rate). The form line is positive, with more wins than defeats across the sample.













Egypt have won 2 of their last 8 matches on the road, drawing 4 and losing 2. Their recent away fixtures include drew with Egypt 1-1 and beat New Zealand 1-3.
Overall, the wider run reads 7W 6D 2L from the last 15 games (47% 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
2 players
Belgium1
Egypt1
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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.




