탐 켄치 카운터 픽

롤 탐 켄치 카운터픽과 엿 같은 팀원 궁합

탐 켄치과(와) 시너지가 좋은 챔피언과 카운터 픽

135,235건의 탐 켄치 카운터와 매치 업 분석 결과

요약

To determine the most and least favorable counters for Tahm Kench, we reviewed the outcomes of 135,235 recently completed, ranked League matches. We determined which champs have the highest and lowest win rates versus him. Moreover, we determined those few that are good allies and who could help stop your champ from being countered. Having checked so many games gives us a lot of certainty in our Tahm Kench counter stats.

As can be seen above, Illaoi is the best to challenge Tahm Kench with a 54.0% win percentage against him. Similarly, Zac and Vi are the next scariest threats to Tahm Kench. These two have win rates of 54.0% and 54.0%, respectively. You should avoid bringing him into a match where any of these champs has been selected.

Conversely, if you are facing off against Nidalee, you should expect to do much better. Tahm kench counters them with a great win percentage of 56.0%. Equally, you should anticipate doing very well when battling Rengar and Gangplank. They have the next lowest win rates when countering Tahm Kench.

탐 켄치과(와) 시너지가 좋은 챔피언

If you are looking for good champ pairings for your own allies to advance your win percentage more, look at our champ synergies above. Regardless of his lane, he does best when on the same team as Zyra. This combination typically raises his chances of winning by 4.0%. Swain and Graves are also fantastic champions to pair with.

방법

To get the details and best Tahm Kench counter builds about a specific matchup, you can click the related row in one of the tables above. If you are interested in specific Tahm Kench counters that aren’t shown here, you may click the button near the top of the page to view details on all potential counters.

To limit the Tahm Kench counters to one skill level only, choose the desired ranked division from the dropdown menu above. The given Tahm Kench counters and pairings will update.

저희는 매주 라이엇 서버에서 직접 몇 백만개의 리그 오브 레전드 매치를 가져와 전통적인 통계와 첨단 머신 러닝 알고리즘을 둘 다 사용하여 데이터를 분석합니다. 실제 데이터에 기반하여 탐 켄치의 정확한 카운터픽을 알려드립니다.

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