Les Counters de Volibear

LoL Volibear Counters and Best Teammmates

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

158,842 Volibear Counters and Matchups Analyzed

We determined our best and worst Volibear counters using data extract from 158 842 ranked LoL matches. We have worked out the champs with the highest and lowest rates of victory against him. Additionally, we have found which champs can be great allies to to get more wins.

As can be seen above, Amumu is the best to beat Volibear with a 52.4% win fraction against him. In a close second and third place, Vi and Nunu et Willump are the next scariest counters to Volibear. They have win rates of 51.5% and 51.3%, respectively. You should avoid bringing him into a round where one of these champions has already been chosen.

Conversely, if you are facing off against Lee Sin, you should expect to do much better. Volibear counters them with a solid win percentage of 53.8%. Equally, you can anticipate doing very well when battling Evelynn and Hecarim. These champs have the next poorest winrates when trying to counter Volibear.

If you are seeking great champ synergies for your own teammates to raise your winrate, look at the champion synergies.

Les synergies de Volibear

Regardless of his chosen position, he does admirably when alongside Zyra. This combination usually raises his chances of winning by a few percent. Brand and Ziggs are also superb champions to pair with.


Nos méthodes

To see the details and best Volibear counter builds for a particular matchup, you should click the related row in the tables above. If you want some Volibear counters that aren’t displayed here, you can click the "All Matchups" button to get them.

To narrow the Volibear counters to a particular skill level only, select your chosen skill level from the dropdown above. The provided champion 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.