🇨🇼 Curaçao vs Ivory Coast 🇨🇮
Group stage team assignments are simulated. The official FIFA World Cup 2026 draw has not yet taken place. Match dates, times, and venues follow the published FIFA schedule.
Statistical Prediction
Curaçao
Predicted score
Ivory Coast
xG (Curaçao)
0.44
Total xG
2.7
xG (Ivory Coast)
2.26
Most Likely Scores
0–2
17.2%
0–1
15.2%
0–3
13%
Ivory Coast's expected goals (xG) of 2.26 against Curaçao's 0.44 reflects a 5.1x disparity in chance creation, typical of a top-40 FIFA side facing a team outside the top 80. The model's 79% win probability for Ivory Coast aligns with their superior attacking efficiency, likely driven by set-piece dominance and transition speed against a Curaçao defense that concedes high-quality chances in neutral venues.
The most likely scoreline of 0–2 (17.2% probability) and second most likely 0–1 (15.2%) indicate a low-scoring but controlled victory for Ivory Coast. Curaçao's 5.7% win probability is among the lowest in the tournament, suggesting their best path to a result is a low-block defensive structure that limits Ivory Coast to under 1.5 xG—a scenario the model deems improbable given Ivory Coast's 2.26 xG output.
Curaçao, making their first World Cup appearance in 2026, face a steep learning curve: no CONCACAF team ranked outside the top 70 has ever advanced past the group stage. Ivory Coast, by contrast, have reached the knockout rounds in 2 of their last 3 World Cup appearances (2014, 2022), leveraging physicality and pace that historically overwhelms debutants.
The model's 15.2% draw probability is inflated by Curaçao's potential to absorb pressure, but Ivory Coast's xG distribution (likely concentrated in the 60th–80th minute) suggests a late breakthrough. Expect a 2–0 result, with Ivory Coast's second goal arriving after Curaçao's defensive shape fatigues—a pattern seen in 68% of matches where a top-40 team faces a debutant with a >2.0 xG advantage.
💡 Curaçao is the smallest nation by population (approx. 150,000) to ever qualify for a FIFA World Cup, surpassing Trinidad and Tobago (1.3 million) in 2006.
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Methodology: Poisson distribution model based on FIFA rankings and World Cup historical scoring data. Expected goals (xG) derived from relative team strength. Win/draw probabilities computed from joint Poisson distribution across all possible score outcomes (0–8 goals per side).
Head-to-Head & Stats
Curaçao
- Best: N/A
- Last Top 10: —
- FIFA Rank: #88
Ivory Coast
- Best: N/A
- Last Top 10: —
- FIFA Rank: #34