자야는 기본 공격 및 스킬 사용 시 바닥에 깃털을 남깁니다. 깃털은 나중에 다시 불러들여 광역 피해를 입히고 적을 속박시킬 수 있습니다.
저항의 비상을 사용하면 거의 모든 스킬을 피할 수 있고 깃털도 다량 남길 수 있습니다. 궁극기의 공격적인 면과 수비적인 면을 모두 활용해 보세요.
동상과 냉기 폭발을 함께 사용하면 엄청난 파괴력을 낼 수 있습니다.
게임 초반에는 적 챔피언이 애니비아의 알을 깨기 어렵습니다. 이를 이용하여 공격적인 플레이로 우세를 점하십시오.
얼음 폭풍 스킬은 마나를 많이 소모합니다. 마나 최대치를 늘리는 아이템을 착용하거나 푸른 파수꾼을 처치하여 지속적인 마나 회복 효과를 얻도록 하십시오.
The 자야 애니비아 synergy stats shown here demonstrate the areas of her gameplay that do better (or worse) when paired with 애니비아, compared to her overall stats. Significant differences are areas of focus that highlight how her gameplay changes when paired with this other champion.
Overall, 자야 sees a large worsening in her KDA (ratio of kills and assists to deaths) when paired with 애니비아. His KDA worsened from NaN to NaN. This negative change shows that 애니비아 helps 자야 perform worse in ranked LoL matches. Yet, the small difference proves that this performance change is only marginal.
When 자야 tries to synergize with 애니비아, she sees a marginal improvement in her full damage dealt. This may signal that 애니비아 helps provide protection for her to deal more damage or that her presence also helps increase the match's duration. Similarly, when 자야 is played alongside 애니비아 on the same team, he usually scores many fewer killing sprees compared to when she plays without 애니비아. This is contrasting evidence that she is worse when playing synergisticly with 애니비아.
Additionally, when 자야 plays with 애니비아 on the same side, she often receives a little more damage than when she fights alone. Taking more damage may mean that 애니비아 does a poor job of covering 자야 during team fights.
There is no universally accepted best champion pairing for 자야 that will always be her best ally. However, overall, 애니비아 is a very typical companion for 자야. By being on the same team as 자야, she drops their win rate by -0.3% to 47.4%. This demonstrates that there is only a small bond between 자야 and 애니비아 that results in them performing worse together than without each other.
애니비아 has a much greater difficulty compared to 자야. That means you should be cautious when arranging 애니비아 teammates to go into battle on the same side as, as they will require a much greater level of skill to be able to cooperate well with you.
Playing together, 자야 players should expect to observe an overall large increase in your team’s capability to destroy wih physical damage. When paired, these champions can tear through the other team with a lot of physcial damage.
Although, by pairing 자야 and 애니비아 together, you will not be providing your side much support. Make sure to pick other champions on your team that neutralizes this hole in their potential.
Regardless of the ability of your 애니비아 teammate, you need to focus on increasing your income, warding to avoid ambushes, and taking down objectives. If you do this, you should do well, regardless.
To truly master 자야 to pair well with 애니비아 during both the lane and mid / late game phases of League games, you should continue reading to gather additional tricks and insights into this champion pairing. If you mind the build and stats displayed here, you should increase your win rate significantly.
The ideal items to include in your 자야 and 애니비아 synergy build include 도미닉 경의 인사, 피바라기, and 크라켄 학살자. When 자야 used at least these three great items in her build, she did much better when fighting alongside 애니비아 than with most other commonly used item sets. In fact, 자야 boasted an average winrate of 47.4% when synergizing her build and playstyle to 애니비아 with these items in her kit.
To have the highest likelihood of coming out on top against your oponents, 자야 players should take the 치명적 속도, 침착, 전설: 핏빛 길, 최후의 일격, 비스킷 배달, and 마법의 신발 runes from the 정밀 and 영감 rune sets. Out of all the rune combinations we have analyed for 자야 and 애니비아 pairings, this mixture of runes resulted in the greatest win rate. Notably, these runes provided a 47.4% win rate overall.
If you need to see 자야 with 애니비아 cooperations tips and stats for a a particular division rank, feel free to select one from the selection menu above. By default, the statistics and strategies displayed are computed using all games with data with these champions.