Jaguares de Córdoba vs Llaneros: Prediction & Preview
Bottom side Jaguares de Córdoba host 14th-placed Llaneros in Liga DIMAYOR Round 16 at Estadio Jaraguay. Preview, head to head and model prediction.

Bottom side host Llaneros in Round 16
Jaguares de Córdoba welcome Llaneros to Estadio Jaraguay for Round 16 of the 2026 Liga DIMAYOR season in Colombia. Kick-off is on Monday, 26 October 2026, at 23:00 UTC (19:00 ET).
The hosts prop up the table in 20th place out of 20 teams with 10 points. Llaneros arrive in 14th on 17 points, having played one match more.
Season so far
Jaguares de Córdoba have won just two of their 14 league games, drawing four and losing eight. They have scored 16 goals and conceded 28, the defensive record that has kept them at the foot of the standings.
Llaneros have five wins, two draws and eight defeats from 15 matches. They have also scored 16 goals but have conceded 20, a tighter return at the back than their hosts.
Head to head
The last five meetings have been closely matched, with one win apiece and three draws. Llaneros took the most recent encounter 2-0 at home on 9 March 2026.
Jaguares de Córdoba's only win in that run came at home, 1-0 on 30 March 2023. The two other games at their ground in this sequence, including a 1-1 draw on 24 April 2024, show how rarely these sides have been separated.
Prediction
Hyper2Play's model gives Llaneros a 46% chance of winning, with the draw at 26% and a home win at 28%. Our pick is Llaneros, with 0-1 as the most likely score, at medium confidence.
The estimate is based on points per game, goal difference, recent form and home advantage, and Llaneros' better points haul and stronger defensive record outweigh the home factor. It is a model estimate, not a guarantee, and the drawn head-to-head history suggests the margin could be narrow.
Most likely score: 0-1
Our own model, from points per game, goal difference, recent form and home advantage. An estimate, not betting advice.
This article was written with automation from verified sports data and checked against that data before publishing. How we work




