诡术妖姬克制与被克制

LoL 诡术妖姬 Counters and Best Teammmates

LOL最克制诡术妖姬的英雄和与其最搭配的英雄

77,243 诡术妖姬 Counters and Matchups Analyzed

汇总

To determine the greatest and worst counters for LeBlanc, we examined the outcomes of 77,243 recently finished, ranked League of Legends matches. We determined which champions have the greatest and poorest win rates against her. Furthermore, we determined those rare champs that are exceptional companions and who could help stop you from being countered. Having reviewed so many games provides us lots of faith in our conclusions.

As you can see above, Malzahar is the best to challenge LeBlanc with a 55.0% victory rate against her. Similarly, Brand and Trundle are the next scariest threats to LeBlanc. These two have win rates of 54.0% and 54.0%, respectively. You should not bring her into a match where any of these champions has been selected.

On the other hand, if you're playing against Azir, you probably should expect to do much better. Leblanc counters them with a solid win percentage of 56.0%. Likewise, you should anticipate doing very well when facing Taliyah and Qiyana. They have the next lowest win rates when trying to counter LeBlanc.

诡术妖姬最好配合的英雄

If you are interested in the best champ pairings for your own comrades to enhance your win percentage even further, glance at the champion synergies above. Regardless of her lane, she does best when alonside Zyra. This combination usually raises her average win rate by 4.0%. Xin Zhao and Swain are also great champs to team up with.

克制关系的研究方法

If you are looking to learn more about a specific LeBlanc counter, including the most desirable builds to employ in that situation, please click the related row in the tables above. If the particular LeBlanc counters you are trying to find are not avaialable below, you may view all possible counters at the above link.

Additionally, if you want to find LeBlanc synergies and counters for a specific rank tier, please feel free to select a different division from the dropdown above.

我们每周直接从拳头公司的服务器搜集数百万局比赛数据。用经典的统计方法和先进的机器学习算法,归纳出最准确最符合当前版本的诡术妖姬的克制和搭配关系。

克制诡术妖姬的重要原由