Background Image
如何赢得岩雀与诡术妖姬的对抗赛岩雀 is in the s tier of champions

岩雀 vs 诡术妖姬

如何在LoL中以岩雀的身份击败诡术妖姬岩雀 is in the b tier of champions
MageSupport
AssassinMage

如何击败诡术妖姬成为岩雀

based on 653 岩雀 vs 诡术妖姬 matchups
胜率
49 %
kda
2.03
受欢迎度
1.6 %

How We Analyze LoL Champion Counters

We get our matchup statistics from the millions of recently rated LoL matches that we review each and every week. Our guide on how to beat 诡术妖姬 as 岩雀 came out of an evaluation of 653 ranked games where both champs fought each other. This champion matchup is fairly rare. 岩雀 has to counter 诡术妖姬 in only 1.6% of her rounds.

岩雀 vs 诡术妖姬 Matchup Summary

Unfortunately, 岩雀 has done a below average job of beating 诡术妖姬. Typically, she wins a acceptable 49.0% of games the champs face one another in. In 岩雀 against 诡术妖姬 games, 岩雀’s team is 0.1% less likely to obtain first blood. This implies that she probably won't be able to get first blood versus 诡术妖姬.

counterTitle

物品

第一项

期望时间
焰爪猫幼崽生命药水

下一个项目

5分钟
增幅典籍遗失的章节

Core 岩雀 Items

22分钟
灭世者的死亡之帽影焰卢登的伙伴

可选项目

风暴狂涌中娅沙漏炽天使之拥兰德里的折磨

Summoner Spells

summonerflash summoner spell D
summonerteleport summoner spell F

技能顺序

为岩雀提升等级的第一个技能q
>
为岩雀提供的第二种能力,以提高水平e
>
岩雀 最大化的最后一项技能w

符文

启迪先攻神奇之鞋未来市场星界洞悉
主宰眼球收集器寻宝猎人
Adaptive ForceAdaptive ForceArmor
岩雀's passive ability p
岩雀's q ability q
岩雀's w ability w
岩雀's e ability e
岩雀's ultimate ability r
1
Q
2
E
3
W
4
Q
5
Q
6
R
7
Q
8
E
9
Q
10
E
11
R
12
E
13
E
14
W
15
W
16
R

Guide to Countering 诡术妖姬 as 岩雀

Tips for Playing as 岩雀 against 诡术妖姬

- 切记,没有必要总是搭乘【R墙幔】。

- 尝试用【W岩突】来把敌人扔到【E撒石阵】上。

- 一旦你做出【瑞莱的冰晶节杖】,朝那些正在追击你的 敌人使用【Q石穿】能够很有效地让他们为此感到后悔。

Advice to Win Against 诡术妖姬

- 乐芙兰的终极技能可以在她的技能施放期间,或是,少见地在一个遥远的位置创造一个假的乐芙兰。

- 在远处创造的假乐芙兰将会跑向距它最近的敌方英雄,施放一个无害的技能,随后立刻消失。

- 要先对乐芙兰发起攻击,来规避她的大部分小诡计,尤其是她在近期用过她的位移技能【魔影迷踪】时。

- 晕眩或沉默乐芙兰将阻止她激活【魔影迷踪】返回。

岩雀 vs 诡术妖姬 Counter Stats

岩雀 Image
winRate
49 %
VS
winRate
51 %
诡术妖姬 Image
6
< kills >
7.7
6.9
< deaths >
5.2
8
< assists >
6.4
1.39
< killingSprees >
1.71
119
< cs >
155
0.63
< dragons >
0.06
0.46
< inhibitors >
0.43
828
< physicalDamage >
2,874
20,373
< magicDamage >
17,571
1,153
< trueDamage >
794
22,355
< damageDealt >
21,240
21,660
< damageTaken >
22,249
12,160
< goldEarned >
11,717
1.64
< towers >
1.76
0.21
< barons >
0.02
4,546
< heal >
3,995
14,126
< xp >
14,099
23
< visionScore >
22
9
< wardsPlaced >
9
549
< ccTime >
57

How to Counter 诡术妖姬 with 岩雀 in LoL

The stat comparisons provided here underscore some important 岩雀 vs. 诡术妖姬 counter statistics that may help us appreciate the distinctions between the two. As an example, 岩雀’s KDA ratio ([kills + assists] / deaths) of NaN is better than 诡术妖姬’s ratio of NaN, highlighting that 岩雀 may be more central to her team's team fighting capability than 诡术妖姬..

岩雀 normally has a slightly smaller longest kill spree than her counter does. On average, she receives a similar amount of damage to 诡术妖姬. This commonly reflects different amounts of tankyness, yet it can also show that the champion with higher health has less agility and thus is unable to escape additional harm when engaged or poked.

championDifferences.title

伤害数据

岩雀
诡术妖姬
物理伤害
魔法伤害
真实伤害

championDifferences.playStyle.title

岩雀
诡术妖姬

championDifferences.whoIsBetter

Both League of Legends champs are great champions. Both champs have their strengths, weaknesses, and counters. In League's current meta, 岩雀 usually fairs equally well when playing against 诡术妖姬, with a 49.0% win rate. As a result, 岩雀 makes an ok counter to 诡术妖姬.

While 岩雀 does have a lower winrate compared to 诡术妖姬, when facing one another, 岩雀 also has a much lower level of difficulty that makes her a less complex character to develop with. You should be careful when picking 岩雀 into 诡术妖姬.

Moreover, 岩雀 has a good amount of utility and CC, a similar amount to 诡术妖姬. This makes her just as valuable during teamfights, especially when fighting champions with a lot of burst damage.

While there is not one best champion for every situation in League of Legends, in 岩雀 vs 诡术妖姬 matchups, 诡术妖姬 is the better champion with a similar win rate, less champion complexity, and a similar amount of utility to help out your allies during late stage team fights.

岩雀 is a somewhat poor counter for 诡术妖姬. Make sure you focus your strategy on increasing your gold and cs and clearing objectives. If you can do that, you should be able to stand on your own as 岩雀 against 诡术妖姬.

additionalInformation.title

method.title2

method.text2

additionalInformation.resources

additionalInformation.readMore

To truly master 岩雀 to counter 诡术妖姬 during both the early game and mid / late game phases of League of Legends, you should keep reading to gather a few extra tricks and insights into this matchup. If you pay attention to the build and tips displayed here, you should increase your win rate by a lot and be that much closer to League of Legends pro players.

岩雀 usually picks up a similar amount of CS relative to 诡术妖姬. Champs who typically don't take many minion kills usualy don't have to have much CS to be effective, such as support champions. These kinds of champions are capable of scaling properly off of their skills, stats, and first items alone. Yet, champions with large amounts of CS, such as hyper-carries, typically require a lot of items to be effective. In either situation, try to surpass the values displayed here to do well.

The most important items to prioritize in your 岩雀 versus 诡术妖姬 build include 灭世者的死亡之帽, 影焰, and 卢登的伙伴. When 岩雀 included at least these three items in her build, she performed much better versus 诡术妖姬 than with most other common builds. In fact, 岩雀 boasted an average win rate of 49.0% when countering 诡术妖姬 with these items in her kit.

To have the best likelihood of beating 诡术妖姬 as 岩雀, you should equip the 先攻, 神奇之鞋, 未来市场, 星界洞悉, 眼球收集器, and 寻宝猎人 runes from the 启迪 and 主宰 rune sets. Of all the rune sets players used for 岩雀 vs 诡术妖姬 LoL games, this mix of runes yielded the greatest win rate. In fact, these runes provided a 49.0% win rate overall.

If you would like to see 岩雀 vs 诡术妖姬 tips and builds for a a particular division rank, feel free to select one from the selection menu above. If viewing for the first time, the statistics and build suggestions given are computed using all matches played with both champs.