Background Image
如何赢得灵罗娃娃与赏金猎人的对抗赛灵罗娃娃 is in the b tier of champions

灵罗娃娃 vs 赏金猎人

如何在LoL中以灵罗娃娃的身份击败赏金猎人灵罗娃娃 is in the a tier of champions
FighterAssassin
Marksman

如何击败赏金猎人成为灵罗娃娃

based on 10,645 灵罗娃娃 vs 赏金猎人 matchups
胜率
45.3 %
kda
1.68
受欢迎度
13.3 %

How We Analyze LoL Champion Counters

We get our counter statistics from the millions of recently rated League of Legends rounds that we analyze each week. Our guide on how to beat 赏金猎人 as 灵罗娃娃 came out of an evaluation of 10645 ranked rounds where both champions fought each other. This champion matchup is fairly common. 灵罗娃娃 encounters 赏金猎人 in 13.3% of her games.

灵罗娃娃 vs 赏金猎人 Matchup Summary

Unfortunately, 灵罗娃娃 has done a terrible job of countering 赏金猎人. On average, she wins a lowly 45.3% of the time the champs battle one another in. In 灵罗娃娃 against 赏金猎人 games, 灵罗娃娃’s team is 0.1% less expected to earn first blood. This indicates that she most likely won't be able to get first blood versus 赏金猎人.

counterTitle

物品

第一项

期望时间
多兰之盾生命药水

下一个项目

5分钟
爆裂魔杖恶魔法典

Core 灵罗娃娃 Items

22分钟
灭世者的死亡之帽巫妖之祸纳什之牙

可选项目

蜕生影焰中娅沙漏千变者贾修

Summoner Spells

summonerhaste summoner spell D
summonersmite summoner spell F

技能顺序

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

符文

精密征服者气定神闲传说:欢欣坚毅不倒
坚决爆破骸骨镀层
Attack SpeedAdaptive ForceHealth Scaling
灵罗娃娃's passive ability p
灵罗娃娃's q ability q
灵罗娃娃's w ability w
灵罗娃娃's e ability e
灵罗娃娃's ultimate ability r
1
Q
2
E
3
Q
4
W
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 赏金猎人 as 灵罗娃娃

Tips for Playing as 灵罗娃娃 against 赏金猎人

格温仍然可以对她的圣霭外的敌人们造成伤害,例如她远距离的终极技能。

格温的有些技能可以对多个敌人施加她的被动技能,因此请瞄准敌人最扎堆的地方,来最大化伤害和治疗效果。

攻击不要停 - 格温的攻击除了造成额外伤害之外,还会强化或重置她的很多技能。

Advice to Win Against 赏金猎人

- 厄运小姐的加速会被我方的伤害移除。

- 如果你能追上厄运小姐,她很容易被击杀。在团队作战中先锁定她为目标。

灵罗娃娃 vs 赏金猎人 Counter Stats

灵罗娃娃 Image
winRate
45.3 %
VS
winRate
54.7 %
赏金猎人 Image
6.1
< kills >
8.1
6.3
< deaths >
6
4.5
< assists >
7
1.41
< killingSprees >
1.88
161
< cs >
173
0.26
< dragons >
0.18
0.56
< inhibitors >
0.56
3,017
< physicalDamage >
19,709
15,599
< magicDamage >
1,156
3,770
< trueDamage >
899
22,387
< damageDealt >
21,766
30,496
< damageTaken >
19,423
12,118
< goldEarned >
12,786
2.59
< towers >
2.51
0.07
< barons >
0.05
7,709
< heal >
4,420
14,991
< xp >
12,868
17
< visionScore >
20
8
< wardsPlaced >
10
150
< ccTime >
147

How to Counter 赏金猎人 with 灵罗娃娃 in LoL

The stats provided here clarify several vital 灵罗娃娃 vs. 赏金猎人 matchup statistics that can help us distinguish the distinctions between this set of champs. For instance, 灵罗娃娃’s KDA ratio ([kills + assists] / deaths) of NaN is more than 赏金猎人’s KDA ratio of NaN, demonstrating that 灵罗娃娃 may be more central to her team's team fighting capability than 赏金猎人..

灵罗娃娃 usually has a slightly smaller longest killing spree than her matchup does. On average, she takes more damage than 赏金猎人. This is usually reflective of differing health capacities, but it can also illustrate that the champion with more HP has less mobility and thus is not able to flee from additional harm when poked or engaged.

championDifferences.title

伤害数据

灵罗娃娃
赏金猎人
物理伤害
魔法伤害
真实伤害

championDifferences.playStyle.title

灵罗娃娃
赏金猎人

championDifferences.whoIsBetter

Both League champions are great champions. Both champs have their strengths, weaknesses, and counters. In the game's current meta, 灵罗娃娃 usually loses when taking on 赏金猎人, with a 45.3% win rate. Thus, 灵罗娃娃 makes a poor counter for 赏金猎人.

While 灵罗娃娃 does have a much lower winrate compared to 赏金猎人, when on opposite teams, 灵罗娃娃 also has a much greater learning curve that makes her a more complex champion to pick up and master. You should expect to face a difficult match when picking 灵罗娃娃 into 赏金猎人.

Furthermore, 灵罗娃娃 has some amount of CC and other utility, a similar amount to 赏金猎人. This makes her just as valuable during teamfights, especially when trying to counter champions with a ton of burst damage.

While there is not a single best champion for every situation in League of Legends, in 灵罗娃娃 vs 赏金猎人 matchups, 赏金猎人 is the better champ with a much lower win rate, more champion depth, and a similar amount of utility to help out your team members during team fights.

灵罗娃娃 is a terribly counter for 赏金猎人. Focus your actions on keeping up your gold and cs and clearing objectives. If you do that, you should be able to stand on your own as 灵罗娃娃 against 赏金猎人.

additionalInformation.title

method.title2

method.text2

additionalInformation.resources

additionalInformation.readMore

If you would like to learn all of the intricacies of 灵罗娃娃 in order to counter 赏金猎人 during both the laning 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 suggestions shown here, you will grow your win rate by a lot and be that much closer to League of Legends pro players.

灵罗娃娃 often racks up a similar amount of CS as 赏金猎人. Champions who typically don't get much CS often don't require much CS to be valuable teammates, such as sup champs. They are capable of scaling well off of their skills, stats, and first items alone. Yet, champs with a lot of CS, such as hyper-carries, often need several high cost items to be effective. In either situation, try to exceed the values shown here to do well.

The top items to have in your 灵罗娃娃 versus 赏金猎人 build include 灭世者的死亡之帽, 巫妖之祸, and 纳什之牙. When 灵罗娃娃 incorporated at least these three pieces in her build, she performed a lot better vs 赏金猎人 than with many other common counter builds. In fact, 灵罗娃娃 boasted an average win rate of 45.3% when playing against 赏金猎人 with these items in her kit.

To have the highest likelihood of vanquishing 赏金猎人 as 灵罗娃娃, 灵罗娃娃 players should use the 征服者, 气定神闲, 传说:欢欣, 坚毅不倒, 爆破, and 骸骨镀层 runes from the 精密 and 坚决 rune sets. Of all the rune sets players picked for 灵罗娃娃 vs 赏金猎人 fights, this mixture of runes resulted in the highest win rate. In fact, these runes gave a 45.3% winrate overall.

If you want to see 灵罗娃娃 x 赏金猎人 tips and counter stats for a a distinct player tier, feel free to select one from the selection menu displayed above. If viewing for the first time, the statistics and strategies shown are calculated using every round run with these champions.