Les Counters de Kayle

LoL Kayle Counters and Best Teammmates

Les meilleurs champions de LoL pour créer des synergies et contrer Kayle

149,590 Kayle Counters and Matchups Analyzed

We calculated the best and worst Kayle counters using stats extract from 149 590 ranked League of Legends games. We have determined the champions with the highest and lowest rates of victory when facing her. Furthermore, we found which champs can serve as great teammates to to get more wins.

As you can see above, Irelia is the best counter to Kayle with a 53.7% win fraction against her. Similarly, Nasus and Malphite are the next largest counters to Kayle. These two have win rates of 52.9% and 52.5%, respectively. You should avoid taking her into a round where one of these champs has already been selected.

On the other hand, if you are facing off against Gangplank, you can anticipate doing much better. Kayle counters them with a very respectable win rate of 57.4%. Likewise, you can anticipate doing very well against Gwen and Darius. These champs have the next poorest winrates when trying to counter Kayle.

If you want great champion synergies for your own teammates to increase your win rate even further, take a peek at at the champion synergies.

Les synergies de Kayle

Regardless of her lane, she does very well when on the same team as Amumu. This combination usually improves her average win rate by a few percent. Ashe and Brand are also great champs to team up with.


Nos méthodes

To get the details and best Kayle counter builds about a particular matchup, you should click the corresponding row in the tables above. If you want specific Kayle counters not shown here, you can click the button near the top of the page to browse them.

To restrict the Kayle counters to a particular skill level only, select the desired ranked division from the dropdown menu above. The recommended champ counters and pairings will update.

Nous passons au peigne fin des millions de matchs de la League of Legends tirés directement des serveurs de Riot chaque semaine. Nous analysons les données en utilisant à la fois des statistiques conventionnelles et des algorithmes d'apprentissage automatique avancés pour vous offrir les Counters de Yone les plus précis en ligne.