Les Counters de Akshan

LoL Akshan Counters and Best Teammmates

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

161,581 Akshan Counters and Matchups Analyzed

We determined our best and worst Akshan counters using data extract from 161 581 ranked League rounds. We have worked out those champions with the highest and lowest rates of victory against them. Additionally, we calculated which champs can be good allies to to get more wins.

As shown above, Yasuo is the best to challenge Akshan with a 54.5% win fraction against them. In a close second and third place, Annie and Diana are the next greatest counters to Akshan. They have win rates of 54.4% and 54.1%, respectively. You should not take them into a match where one of these champions has already been selected.

Conversely, if you are playing against Akali, you can anticipate doing much better. Akshan counters them with a great win rate of 54.7%. Similarly, you can expect to do very well when battling Lucian and Sylas. They have the next worst winrates versus Akshan.

If you are looking for great champion pairings for your own allies to help improve your winrate even further, take a peek at at the champ synergies below.

Les synergies de Akshan

Regardless of their lane, they does best when paired with Amumu. This pairing usually boosts their average win rate by a few percent. Ziggs and Zyra are also awesome champions to pair with.


Nos méthodes

To get the details and best Akshan counter builds about a particular matchup, you should click the corresponding row in the tables above. If you would like specific Akshan counters not listed here, you may click the "All Matchups" button to view details on all potential counters.

To filter the Akshan counters to a specific ranked division only, choose the desired skill level from the dropdown above. The recommended champion counters and synergies will be revised.

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.