Counters de Pyke

LoL Pyke Counters y mejores compañeros de equipo

Los mejores campeones de LoL para sinergizar y contrarrestar a Pyke

132,101 Pyke Counters y emparejamientos analizados


We computed our best and worst Pyke counters with information extract from 132,101 ranked League of Legends rounds. We have determined those champions with the highest and lowest rates of victory against him. Additionally, we have calculated which champs can serve as good teammates to help you win more League games.

As can be seen above, Swain is the strongest to beat Pyke with a 55.0% victory percentage against him. Similarly, Maokai and Wukong are the next greatest threats to Pyke. These two have win rates of 54.0% and 54.0%, respectively. You should not bring him into a match where one of these other champions has already been selected.

Conversely, if you are battling Azir, you probably should anticipate doing much better. Pyke counters them with a much better win rate of 56.0%. Similarly, you can anticipate doing very well when battling Nidalee and Gangplank. These champs have the next lowest win rates versus Pyke.

Sinergias de Pyke

If you are interested in great champ pairings for your own comrades to improve your win rate more, glance at the Pyke synergies above. Regardless of his chosen position, he does admirably when paired with Swain. This combination usually boosts his chances of winning by 4.0%. Seraphine and Zilean are also superb champs to team up with.

Nuestros métodos

If you are looking to learn more about a particular Pyke counter, together with the finest builds to adopt in that matchup, please click the corresponding row in the tables above. If the particular Pyke counters you are interested in are not found below, you can see all potential counters at the above link.

To view Pyke pairings and counters from a particular skill level, you may use the dropdown menu above to filter the counters provided.

Cada semana revisamos millones de partidas de League of Legends sacadas directamente de los servidores de Riot. Analizamos los datos usando tanto estadísticas convencionales como algoritmos avanzados de aprendizaje automático para obtener los counters de Pyke más precisos.

Guía para contrarrestar a Pyke