Colombia's Outlook
Their last outing: a draw vs Switzerland (0-0).
- David Ospina (Goalkeeper, 38) is one of the names the squad model leans on.
- James Rodríguez (Midfielder, 35) is one of the names the squad model leans on.
Colombia 1-0 Ghana (FT). Round of 32, FIFA World Cup 2026. Our model's pick was Colombia at 54% — it called it.
Colombia1-0Ghana (FT) in this World Cup 2026 Round of 32 tie, with the full stats, timeline, and an honest look at whether our model called it.
We made Colombia our pick at 54%, and that's how it finished (1-0). The structural model called this one. See our methodology.
Colombia edged past Ghana 1-0 in Round of 32 at World Cup 2026, Matchday 32. Jhon Arias opened the scoring on 14'.
Colombia controlled the ball with 61% possession and 20 shots to Ghana's 8. An expected-goals figure of 2.18 to 0.26 says the margin understated how one-sided this was. xG measures chance quality, not just shot count. Colombia generated the clearer chances by some distance.
Our structural model had made Colombia the 54% favourite, and it called this one right. The full pre-match split was Colombia 54%, Draw 29%, Ghana 18%. See our methodology for how the model is built.
Live match data from the gaffer pipeline. No invented numbers.
Colombia beat Ghana 1-0 in their World Cup 2026 Round of 32 clash. The only goal came before the break.
Confirmed team news and starting line-ups for Colombia vs Ghana in this World Cup 2026 Round of 32 clash. Colombia set up in a 4-3-3 and Ghana in a 4-1-2-3, with key players and substitutes for both sides below. Jhon Arias scored from the starting XI.
Key player (most caps in the XI) Scored in this match Subbed off
The structural model rates Ghana the value side here at a +17% gap to the market. The caveat is real, our live-form lens leans the other way, which is why confidence sits at Medium. Here is the honest case on both sides.
Their last outing: a draw vs Switzerland (0-0).
Last time out: lost vs Colombia (0-1).
The model expects roughly 2.39 goals here.
The +17% structural edge on Ghana is the headline. The fair-odds table makes it concrete.
Side-by-side comparison of the model's key probabilities and tournament outlook.
Insight: Our model gives Colombia the edge, fractionally ahead on all six measures: a higher win probability, better knockout odds and a clearer path to the semis.
The names that decide a tight game. International caps and goals are real squad data from the model's pipeline. Squad strength is one of the primary inputs the structural model weighs.
Colombia and Ghana have never met at senior level. This is their first competitive meeting.
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