Counters de Rell

LoL Rell Counters y mejores compañeros de equipo

Los mejores campeones de LoL para sinergizar y contrarrestar a Rell

66,025 Rell Counters y emparejamientos analizados

We calculated the best and worst Rell counters with stats extract from 66.025 ranked League of Legends rounds. We have worked out the champions with the highest and lowest rates of victory versus her. Furthermore, we calculated which champs can serve as great allies to to get more wins.

As you can see above, Brand is the strongest to face off against Rell with a 53.2% win fraction against her. Close behind, Zyra and Soraka are the next biggest counters to Rell. These two have win rates of 52.9% and 52.7%, respectively. You should not bring her into a match where any of these champs has been selected.

Conversely, if you're battling against Yuumi, you should anticipate doing much better. Rell counters them with a great win percentage of 53.4%. Similarly, you can anticipate doing very well when fighting Nautilus and Thresh. They have the next worst win rates when countering Rell.

If you are seeking great champ synergies for your own allies to help boost your win percentage more, take a peek at at our Rell synergies below.

Sinergias de Rell

Regardless of her lane, she does best when on the same team as Yasuo. This combination usually raises her chances of winning by a few percent. Miss Fortune and Warwick are also great champions to pair with.

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Nuestros métodos

If you are looking to learn more about a specific Rell counter, as well as the preferred builds to use in that situation, please click the corresponding row in the tables above. If the particular Rell counters you are looking for aren't shown below, you may view all potential counters at the link above.

Additionally, if you’d like to find Rell synergies and counters for a specific rank tier, please feel free to pick a specific division from the dropdown above.

Cada semana revisamos millones de partidas de League of Legends sacadas directamente de los servidores de Riot. Analizamos los datos usando tanto estadísticas convencionales como algoritmos avanzados de aprendizaje automático para obtener los counters de Rell más precisos.