Flamengo aim to end Brazilian teams’ drought against Lanús in the Recopa | OneFootball

Brazilian Teams Have Been Coming Up Short Against Argentinians in the Recopa Sudamericana

Flamengo takes the field this Thursday (26th) looking to overturn the result against Lanús (ARG) in the second leg of the Recopa Sudamericana. In addition to chasing the continental title, the Rubro-Negro is also trying to break a ‘drought’ for Brazilian teams against Argentinians in the competition.

This is because, in the last three times Brazilians and Argentinians faced each other in the Recopa Sudamericana, the ‘hermanos’ came out on top in all the finals. In the most recent clash, in February 2025, Racing (ARG) ‘steamrolled’ Botafogo 4-0 on aggregate.

What were the last finals between Brazilians and Argentinians in the Recopa?

When was the last time a Brazilian team beat an Argentinian in the Recopa?

The most recent victory of a Brazilian team over an Argentinian club happened in February 2018. On that occasion, Grêmio, champions of the 2017 Libertadores, overcame Independiente (ARG), winners of the Sudamericana. After a 1-1 draw on aggregate, the team from Rio Grande do Sul prevailed in the penalty shootout, 5-4.

What does Flamengo need to do to win the Recopa?

After a 1-0 loss in the first leg, Flamengo needs a win over Lanús this Thursday (26th). If they win by one goal, the Recopa will go to extra time. Furthermore, if the Rubro-Negro triumphs by two or more goals, Mengão will claim their second title in the tournament.

When do Flamengo and Lanús face off?

Looking to turn things around in the final, Flamengo will face Lanús again this Thursday (26th). The match kicks off at 9:30 PM (Brasília time) at Maracanã, for the second leg of the Recopa Sudamericana.

As tradition dictates, Coluna do Fla will bring all the details about the match between Flamengo and Lanús through YouTube, their website, and social media. However, ESPN (cable channel) and Disney+ (streaming) will broadcast the Recopa match.

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