Les Counters de Vayne

LoL Vayne Counters and Best Teammmates

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

452,405 Vayne Counters and Matchups Analyzed

We determined our best and worst Vayne counters using stats taken from 452 405 ranked League of Legends games. We have determined those champions with the highest and lowest rates of victory against her. Furthermore, we calculated which champs can be great teammates to to get more wins.

As shown above, Miss Fortune is the strongest to challenge Vayne with a 51.3% win fraction against her. Close behind, Ashe and Draven are the next largest counters to Vayne. These two champs have win rates of 51.3% and 51.3%, respectively. You should avoid taking her into a match where any of these other champions has been picked.

On the other hand, if you're facing off against Akshan, you probably should expect to do much better. Vayne counters them with a solid win percentage of 55.6%. Likewise, you can expect to do very well when battling Kalista and Ezreal. These champs have the next poorest win rates when trying to counter Vayne.

If you are interested in great champ synergies for your own teammates to help boost your win percentage, take a peek at at the Vayne synergies below.

Les synergies de Vayne

Regardless of her lane, she does best when alongside Soraka. This combination usually raises her average win rate by a few percent. Brand and Nocturne are also superb champs to fight alongside.

Nos méthodes

To examine the details and best Vayne counter builds about a specific matchup, you can click the corresponding row in the tables above. If you are looking for any Vayne counters not listed here, you can click the "All Matchups" button to view details on all potential counters.

To see Vayne pairings and counters from a particular division rank, you may use the dropdown menu above to limit the counter stats shown.

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.