- 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。
- 娜美的终极技能在对远处的敌人发起先手时非常给力。
- 在交战中对敌方英雄使用【W冲击之潮】,将会让团战走势朝着有利于你的方向倾斜。
- 【Q碧波之牢】的冷却时间很长,要确保在正确的时机使用它。
The 赏金猎人 唤潮鲛姬 synergy stats shown here demonstrate the areas of her gameplay that do better (or worse) when paired with 唤潮鲛姬, compared to her overall stats. Significant differences are areas of focus that highlight how her gameplay changes when paired with this other champion.
Overall, 赏金猎人 sees a large worsening in her KDA (ratio of kills and assists to deaths) when paired with 唤潮鲛姬. His KDA fell from NaN to NaN. This fall shows that 唤潮鲛姬 helps 赏金猎人 perform not as well in competitive League matches. Yet, the small difference indicates that this performance change is not very impactful.
When 赏金猎人 tries to synergize with 唤潮鲛姬, she sees a little increase in her total damage output. This could demonstrate that 唤潮鲛姬 helps provide protection for her to dish out more damage or that her presence on the team also helps increase the round's duration. Similarly, when 赏金猎人 is played alongside 唤潮鲛姬 on the same team, he usually scores many fewer killing sprees compared to when she plays without 唤潮鲛姬. This is contrasting evidence that she is worse when playing synergisticly with 唤潮鲛姬.
Additionally, when 赏金猎人 plays with 唤潮鲛姬 on the same side, she on average receives a little more damage than when she plays alone. Receiving more damage could indicate that 唤潮鲛姬 does a poor job of covering 赏金猎人 during team fights.
There is no top champion pairing for 赏金猎人 that will 100% of the time be her #1 ally. Yet, overall, 唤潮鲛姬 is a relatively poor teammate for 赏金猎人. By locking into the same side as 赏金猎人, she decreases their win rate by -1.7% to 51.7%. This clearly indicates that there is a harmful synergy between 赏金猎人 and 唤潮鲛姬 that allows them to perform worse together than without each other.
唤潮鲛姬 has a much greater difficulty compared to 赏金猎人. That means 赏金猎人 players should be cautious when enlisting 唤潮鲛姬 allies to fight alongside, as they will need a much greater level of skill to be able to cooperate well with you.
Working together, 赏金猎人 players will likely observe an overall large increase in your team’s ability to deal physical damage. Together, these champions should be able to take down targets with auto-attacks and other AD damage abilities.
Conversely, by grouping 赏金猎人 and 唤潮鲛姬 together, you will not be granting your side a great deal of engage potential. We recommend you include other champions on your team that offsets this relative disparity in this pairing's playstyle.
Regardless of the skill of your 唤潮鲛姬 teammate, you need to focus on increasing your gold income, warding to avoid ambushes, and clearing objectives. If you heed this simple advice, you should do well, regardless.
To learn all of the intricacies of 赏金猎人 to work well with 唤潮鲛姬 during both the laning and mid / late game phases of League games, you should keep reading to master some more tricks and insights into this champion pairing. If you mind the build and suggestions shown here, you will increase your win rate by a lot.
The top items to get in your 赏金猎人 and 唤潮鲛姬 synergy build consist of 收集者, 赛瑞尔达的怨恨, and 禁忌时机. When 赏金猎人 bought at least these three items in her build, she did much better as an ally of 唤潮鲛姬 than with many other commonly used builds. In fact, 赏金猎人 had an average winrate of 51.7% when synergizing her build and playstyle to 唤潮鲛姬 with these items in her kit.
To have the best probability of defeating your oponents, 赏金猎人 players should equip the 先攻, 神奇之鞋, 饼干配送, 星界洞悉, 法力流系带, and 风暴聚集 runes from the 启迪 and 巫术 rune sets. Of all the rune sets players picked for this team composition, this composite of runes resulted in the best win rate. Notably, these runes gave a 51.7% win rate overall.
If you want to see 赏金猎人 and 唤潮鲛姬 synergy tips and builds for a a specific division rank, feel free to choose one from the selection menu above. If viewing for the first time, the stats and build suggestions displayed are calculated using every match with data with both champs.