Curaçao vs Ivory Coast Prediction, Tips & Odds
Curaçao vs Ivory Coast
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About the Teams
Curaçao
Ivory Coast
Head to Head
Last 1 Meetings (Ivory Coast leads 1-0)Curaçao and Ivory Coast have met once in their history, with Ivory Coast winning that match 2-0 during the 2026 World Cup. Since this is the only competitive meeting between the two nations, the sample size is too small to establish any clear pattern in their encounters. The single result does indicate that Ivory Coast was the stronger side in this instance, but without additional matches to analyze, it is difficult to draw broader conclusions about their head-to-head dynamics.
Group E Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Germany | 3 | 2 | 0 | 1 | 10 | 4 | 6 | 6 | LLWW |
| 2 | Ivory Coast | 3 | 2 | 0 | 1 | 4 | 2 | 2 | 6 | LWLW |
| 3 |  Ecuador | 3 | 1 | 1 | 1 | 2 | 2 | 0 | 4 | LWDL |
| 4 | Curaçao | 3 | 0 | 1 | 2 | 1 | 9 | -8 | 1 | LDL |
Key Statistics
2026 SeasonCuraçao have won 3 of their last 4 matches at home, drawing 1 and losing 0. Their recent home fixtures include beat Aruba 4-0 and drew with Trinidad and Tobago 1-1.
Overall, the wider run reads 4W 3D 4L from the last 11 games (36% win rate). The form line is positive, with more wins than defeats across the sample.
Ivory Coast have won 6 of their last 8 matches on the road, drawing 0 and losing 2. Their recent away fixtures include beat Ivory Coast 0-2 and beat France 1-2.
Overall, the wider run reads 8W 1D 2L from the last 11 games (73% 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 playersCuraçao
No reported absences
Ivory Coast
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.
