Les Counters de Maokai

LoL Maokai Counters and Best Teammmates

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

76,568 Maokai Counters and Matchups Analyzed

We calculated our best and worst Maokai counters with info extract from 76 568 ranked League of Legends matches. We have figured out those champs with the highest and lowest rates of victory when facing him. Additionally, we have found which champions can be valuable allies to improve your rank.

As can be seen above, Sona is the best to face off against Maokai with a 51.4% win fraction against him. Close behind, Zyra and Morgana are the next greatest counters to Maokai. These two champs have win rates of 51.2% and 50.9%, respectively. You should not take him into a match where any of these champs has been chosen.

On the other hand, if you are battling against Pyke, you should expect to do much better. Maokai counters them with a great win percentage of 55%. Equally, you can expect to do very well when fighting Senna and Lulu. They have the next worst winrates when countering Maokai.

If you are looking for great champion pairings for your own allies to increase your win rate more, take a peek at at the Maokai synergies below.

Les synergies de Maokai

Regardless of his lane, he does best when paired with Ziggs. This pairing usually improves his average win rate by a few percent. Maître Yi and Warwick are also great champs to team up with.


Nos méthodes

To review the details and best Maokai counter builds for a particular matchup, you should click the corresponding row in the tables above. If you are interested in any Maokai counters that aren’t displayed here, you can click the "All Matchups" button to get them.

To reduce the Maokai counters to a particular ranked division only, pick your chosen ranked division from the dropdown above. The recommended champion counters and pairings will be updated.

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.