Lanús beat San Lorenzo away, set to face Flamengo in Recopa | OneFootball

Lanús (ARG) started off on the right foot in the first round of the Argentine Apertura

The first months of Flamengo this year will be decisive. One of these decisions involves Lanús (ARG) on February 19 and 26, for the Recopa Sudamericana. This Friday (23), the team defeated San Lorenzo (ARG) 3-2 in the first round of the Argentine Apertura, away from home, at the Nuevo Gasómetro Stadium.

At 24 minutes, the forward Rodrigo Castillo opened the scoring for Flamengo's opponent. Later, at 30 minutes, right-back Carlos Izquierdoz extended the lead. The assists came from Tomas Guidara and Marcelino Moreno. In the second half, Alexis Cuello scored for San Lorenzo.

When it seemed the hosts would seek a draw, Marcelino Moreno scored the third for the 2025 South American champion, with a pass from Ramiro Carrera. San Lorenzo tried to come back at 41 minutes with Alexis Cuello, but couldn't equalize.

WAS THE BASE MAINTAINED?

From the team that defeated Atlético-MG in the Copa Sudamericana on penalties in November 2025, Lanús had only one change in the starting 11 compared to the team that took the field this Friday (23). In last year's decision, Perez played as right-back. In the Argentine match, Guidara took on the role. Otherwise, ten players participated in both matches under the command of coach Mauricio Pellegrino.

WHAT IS THE RECOPA SUDAMERICANA, AFTER ALL?

The Recopa Sudamericana is the meeting between the champions of the Libertadores and the Sudamericana from the previous year. Therefore, Flamengo and Lanús will face each other at the end of February, competing for the first continental trophy of 2026. The Rubro-Negro is aiming for their second title.

In summary, Flamengo won the trophy in 2020, overcoming Independiente del Valle (EQU) with a 2-2 draw in Quito and a 3-0 victory at Maracanã. Lanús came close in 2014, after two defeats to Atlético-MG, 1-0 in Argentina and 4-3 at Mineirão.

This article was translated into English by Artificial Intelligence. You can read the original version in 🇧🇷 here.