Les Counters de Gangplank

LoL Gangplank Counters and Best Teammmates

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

103,081 Gangplank Counters and Matchups Analyzed

We determined our best and worst Gangplank counters with stats taken from 103 081 ranked LoL games. We have worked out those champions with the highest and lowest rates of victory versus him. Additionally, we have found which champs can be great allies to to get more wins.

As shown above, Yorick is the strongest to beat Gangplank with a 58.5% win percentage against him. Similarly, Urgot and Kayle are the next scariest counters to Gangplank. These two champs have win rates of 57.4% and 57.4%, respectively. You should avoid taking him into a game where any of these other champions has already been chosen.

On the other hand, if you are playing against Darius, you should expect to do much better. Gangplank counters them with a solid win rate of 48.1%. Similarly, you can anticipate doing very well when facing Fiora and Malphite. These champs have the next lowest winrates against Gangplank.

If you are seeking good champion synergies for your own allies to improve your victory rate, take a peek at at our champion synergies below.

Les synergies de Gangplank

Regardless of his lane, he does very well when alongside Xin Zhao. This combination typically improves his average win rate by a few percent. Amumu and Maître Yi are also great champions to team up with.

Nos méthodes

To see the details and best Gangplank counter builds for a specific matchup, you can click the corresponding row in one of the tables above. If you would like specific Gangplank counters not shown here, you may click the "All Matchups" button to browse them.

In order to review Gangplank pairings and counters from a particular division rank, you can use the dropdown menu above to filter 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.