Background Image
如何赢得赏金猎人与血港鬼影的对抗赛赏金猎人 is in the a tier of champions

赏金猎人 vs 血港鬼影

如何在LoL中以赏金猎人的身份击败血港鬼影赏金猎人 is in the a tier of champions
Marksman
SupportAssassin

如何击败血港鬼影成为赏金猎人

based on 17,545 赏金猎人 vs 血港鬼影 matchups
胜率
54.6 %
kda
2.29
受欢迎度
3.4 %

How We Analyze LoL Champion Counters

We get our counter statistics from the millions of ranked LoL games that we get from Riot Games each week. This guide on how to beat 血港鬼影 as 赏金猎人 resulted from an evaluation of 17545 ranked games where both champions opposed each other. This champion matchup is relatively rare. 赏金猎人 is forced to battle against 血港鬼影 in only 3.4% of her games.

赏金猎人 vs 血港鬼影 Matchup Summary

赏金猎人 does a great job of beating 血港鬼影. On average, she wins a terrific 54.6% of matches the champs face each other in. In 赏金猎人 versus 血港鬼影 rounds, 赏金猎人’s side is 0.2% less expected to gain first blood, indicating that she most likely won't get first blood against 血港鬼影.

counterTitle

物品

第一项

期望时间
多兰之刃生命药水

下一个项目

5分钟
锯齿短匕幽梦之灵

Core 赏金猎人 Items

22分钟
守护天使夜之锋刃赛瑞尔达的怨恨

可选项目

幽梦之苏醒公理圆弧感电三轮刃禁忌时机

Summoner Spells

summonerflash summoner spell D
summonerheal summoner spell F

技能顺序

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

符文

主宰黑暗收割恶意中伤眼球收集器终极猎人
巫术绝对专注风暴聚集
Adaptive ForceAdaptive ForceHealth Scaling
赏金猎人's passive ability p
赏金猎人's q ability q
赏金猎人's w ability w
赏金猎人's e ability e
赏金猎人's ultimate ability r
1
Q
2
W
3
E
4
Q
5
Q
6
R
7
Q
8
W
9
Q
10
W
11
R
12
W
13
W
14
E
15
E
16
R

Guide to Countering 血港鬼影 as 赏金猎人

Tips for Playing as 赏金猎人 against 血港鬼影

- 厄运小姐如果近期没有受到伤害,就会提高速度。避免受到攻击可以让她移动非常迅速。

- 如果敌方英雄躲在小兵背后,则对最远处的敌方小兵使用一箭双雕;它会弹射到敌方英雄身上造成大量伤害。

- 在【大步流星】尚未冷却时,要尽量利用【厄运的眷顾】来最大化攻击速度加成的持续时间。

Advice to Win Against 血港鬼影

- 派克可从所受的来自敌方英雄的伤害中回复显著的生命值,但前提是你看不见他!

- 当派克隐藏在附近的【幽潭潜行】中时,会有鲨鱼在你脚下绕圈。

- 尽量不要站在低血量友军的附近。如果派克用【涌泉之恨】处决了你的低血量友军,那么你就会是名单上的下一个。

赏金猎人 vs 血港鬼影 Counter Stats

赏金猎人 Image
winRate
54.6 %
VS
winRate
45.4 %
血港鬼影 Image
8.7
< kills >
6.8
6.9
< deaths >
7.3
7.1
< assists >
8.4
2
< killingSprees >
1.59
168
< cs >
39
0.17
< dragons >
0.06
0.56
< inhibitors >
0.31
21,069
< physicalDamage >
10,001
1,155
< magicDamage >
66
972
< trueDamage >
2,388
23,197
< damageDealt >
12,455
19,747
< damageTaken >
22,366
12,985
< goldEarned >
10,193
2.52
< towers >
1.06
0.05
< barons >
0.01
4,114
< heal >
4,912
12,889
< xp >
10,637
19
< visionScore >
66
10
< wardsPlaced >
30
143
< ccTime >
97

How to Counter 血港鬼影 with 赏金猎人 in LoL

The stats provided here emphasize several vital 赏金猎人 versus 血港鬼影 counter statistics that can help you explain the differences between the two. 赏金猎人’s KDA ratio ([kills + assists] / deaths) of NaN is better than 血港鬼影’s ratio of NaN, showing that 赏金猎人 may be more central to her team's team fighting capacity than 血港鬼影..

赏金猎人 often has a slightly larger longest killing spree than her opponent does. On average, she takes a similar amount of damage to 血港鬼影. This is usually reflective of differing health capacities, but it can also show that the one champion has less mobility and thus is unable to flee from further harm when poked or engaged.

championDifferences.title

伤害数据

赏金猎人
血港鬼影
物理伤害
魔法伤害
真实伤害

championDifferences.playStyle.title

赏金猎人
血港鬼影

championDifferences.whoIsBetter

Both League of Legends champs are great champions. Both have their strengths, weaknesses, and counters. In League's current meta, 赏金猎人 usually wins when playing against 血港鬼影, with a 54.6% win rate. As a result, 赏金猎人 makes a great counter for 血港鬼影.

While 赏金猎人 does have a much higher winrate than 血港鬼影, when facing one another, 赏金猎人 also has a much lower difficulty level that makes her a less time consuming character to develop with. You don't need to be too worried when picking 赏金猎人 into 血港鬼影.

Furthermore, 赏金猎人 has almost no amount of utility and CC, a similar amount to 血港鬼影. This makes her just as valuable during teamfights, especially when facing champions with a ton of burst damage.

While there is not a single best champion for every situation in League of Legends, in 赏金猎人 vs 血港鬼影 matchups, 赏金猎人 is the better champion with a noticably higher win rate, less champion complexity, and a similar amount of utility to help out your team members during team fights.

赏金猎人 is a great counter to 血港鬼影. You will do well by focussing your strategy on maximizing your gold and cs and destroying objectives. If you can do that, you should hold your own as 赏金猎人 against 血港鬼影.

additionalInformation.title

method.title2

method.text2

additionalInformation.resources

additionalInformation.readMore

To truly master 赏金猎人 in order to counter 血港鬼影 during both the laning and mid / late game phases of League of Legends, you should continue reading to pick up a few extra tricks and insights into this matchup. If you pay attention to the build and suggestions presented above, you will grow your win rate by a lot and be closer to League of Legends pro players.

赏金猎人 typically racks up much more CS compared to 血港鬼影. Champions who on average don't get much CS usualy don't have to have much CS to be effective, such as sup champs. They are able to scale well off of their skills, stats, and first items alone. Yet, champions with a lot of CS, such as hyper-carries, usually need several high cost items to be effective. In either situation, try to exceed the values reported here to do well.

The top items to have in your 赏金猎人 versus 血港鬼影 build consist of 守护天使, 夜之锋刃, and 赛瑞尔达的怨恨. When 赏金猎人 included at least these three pieces in her build, she did much better vs. 血港鬼影 than with many other commonly used counter builds. In fact, 赏金猎人 had an average winrate of 54.6% battling 血港鬼影 with this counter build.

To have the greatest probability of annihilating 血港鬼影 as 赏金猎人, 赏金猎人 players should use the 黑暗收割, 恶意中伤, 眼球收集器, 终极猎人, 绝对专注, and 风暴聚集 runes from the 主宰 and 巫术 rune sets. Of all the runes that we analyzed for 赏金猎人 vs 血港鬼影 LoL games, this blending of runes yielded the highest win rate. Notably, these runes provided a 54.6% win rate overall.

If you would like to see 赏金猎人 versus 血港鬼影 tips and counter builds for a a specific skill level, feel free to choose one from the selection menu displayed above. At first, the stats and guides shown are computed using every game with data with both champions.