还有一个不可忽视的选择是妖姬（LeBlanc）。妖姬的高机动性和爆发伤害使她成为counter吸血鬼的绝佳选择。妖姬的Q技能“欺诈魔术”和W技能“镜像之舞”可以让她在战场上快速穿梭，躲避吸血鬼的攻击，同时利用E技能“幻影锁链”和R技能“禁锢之墓”对吸血鬼进行...
of LPL's Edward Gaming and LCK's SK Telecom T1. In this particular bout, Edward Gaming emerged victorious thanks to a clever Game 5 finals draft that used Ming "Clearlove" Kai's Evelynn and Heo "PawN" Won-seok's Morgana to stymie Lee "Faker" Sang-hyeok's then-undefeated LeBlanc. It...
Mimic (R)Every mimicked version of LeBlanc can use the same abilities as her and deal modified magic damage. Zed As the leader of the Order of Shadow, Xed is incapable of showing even an ounce of mercy. Utterly ruthless, Zed uses his organization to militarize the magical and martial tra...
Zoe Counters - LoLalytics has the best Zoe middle vs middle Counters for Patch 14.19. LoLalytics analyses millions of LoL matches on Patch 14.19 for the best Zoe LoL counter matchups
2) Consider your mid laner – Mid lane can have a considerable impact on jungle duels and buff pressure, generally if one mid laner is considerably stronger or has much more mobility they can be a huge factor in deciding which side wins in a jungle duel. Champions like Leblanc, Ahri, Tal...
That was the ultimate counter to fakers leblanc faker被counter啦，超级counter Who would have thought that Wolfs Nautilus was the answer.wolf的泰坦是突破口 RIP Faker undefeated Leblanc in pro play faker无敌的妖姬可以安息了 Honestly they should have first picked alistar for Wolf. He was...
The Electrocute-Sorcery combo is currently dominating among the aggressive mid lane champions, including LeBlanc. There’s no reason to pick other runes in the current meta. Given you want to target single enemies with all your abilities, Electrocute will improve your damage, while the other runes...
LeBlanc is a tough champion to defeat. Her skillset allows her to be aggressive as she can disengage easily withMimicandDistortion. She can easily burst down immobile champions and laning against her could be a nightmare if you can’t counter her ...
ChampionPhotoCounter Rate Trundle 0.800000 LeBlanc 0.760000 Taric 0.652174 Varus 0.644444 Jarvan IV 0.590907. 推荐器基于Part 4 其实我们已经能够搭建一个初步的推荐器了。推荐器的算法如下;1. 输入一个子集,包含少于5个英雄及其位置,和评分的方式包括: Early score, Early-to-middle score, Middle score, ...
63 2010-11-02 诡术妖姬 乐芙兰 LeBlanc the Deceiver 62 2010-10-18 光辉女郎 拉克丝 Lux the Lady of Luminosity 61 2010-10-04 诺克萨斯统领 斯维因 Swain the Noxian Grand General 60 2010-09-21 琴瑟仙女 娑娜 Sona Maven of the Strings 59 2010-09-08 赏金猎人 厄运小姐 Miss Fortune the Bounty...