Portugal vs Congo DR Prediction, Tips & Odds
Portugal vs Congo DR
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About the Teams
Portugal
Congo DR
Head to Head
Last 1 Meetings (evenly matched 0-0)Portugal and Congo DR have met once in a competitive fixture, which ended in a 1-1 draw on June 17, 2026. With only one match to analyze, the sample size is too small to identify any significant patterns or trends. This single encounter provides limited insight into how the teams may perform against each other in future meetings.
Group K Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Colombia | 3 | 2 | 1 | 0 | 4 | 1 | 3 | 7 | LWDWW |
| 2 | Portugal | 3 | 1 | 2 | 0 | 6 | 1 | 5 | 5 | LWDWD |
| 3 | Congo DR | 3 | 1 | 1 | 1 | 4 | 3 | 1 | 4 | LWLD |
| 4 |  Uzbekistan | 3 | 0 | 0 | 3 | 2 | 11 | -9 | 0 | LLL |
Key Statistics
2026 SeasonPortugal have won 5 of their last 7 matches at home, drawing 2 and losing 0. Their recent home fixtures include beat Croatia 2-1 and beat Nigeria 2-1.
Overall, the wider run reads 9W 4D 1L from the last 14 games (64% win rate). The form line is positive, with more wins than defeats across the sample.
Congo DR have won 2 of their last 5 matches on the road, drawing 2 and losing 1. Their recent away fixtures include lost to Algeria 1-0 and beat Botswana 0-3.
Overall, the wider run reads 7W 3D 2L from the last 12 games (58% 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 playersPortugal
No reported absences
Congo DR
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.
