Les Counters de Xayah

LoL Xayah Counters and Best Teammmates

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

127,973 Xayah Counters and Matchups Analyzed

We calculated our best and worst Xayah counters using information taken from 127 973 ranked League games. We have figured out the champions with the best and worse rates of victory against her. Additionally, we have found which champions can be valuable teammates to help you win more League games.

As shown above, Miss Fortune is the best challenger for Xayah with a 54.1% win fraction against her. Similarly, Ashe and Jhin are the next biggest counters to Xayah. They have win rates of 53.7% and 52.8%, respectively. You should not bring her into a round where one of these champs has already been selected.

On the other hand, if you are playing against Lucian, you should anticipate doing much better. Xayah counters them with a great win rate of 50.2%. Similarly, you can expect to do very well when fighting Samira and Kai'Sa. These champs have the next poorest win rates when countering Xayah.

If you are interested in good champ synergies for your own teammates to raise your winrate even further, take a peek at at the champion synergies below.

Les synergies de Xayah

Regardless of her chosen position, she does admirably when on the same team as Amumu. This combination usually increases her average win rate by a few percent. Nocturne and Maître Yi are also fantastic champs to team up with.

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Nos méthodes

To see the details and best Xayah counter builds about a specific matchup, you can click the corresponding row in one of the tables above. If you would like any Xayah counters that aren’t listed here, you can click the button near the top of the page to get them.

In order to get Xayah pairings and counters from a particular skill level, you may use the dropdown menu above to narrow the counter stats provided.

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.