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.
칠흑의 양날도끼는 중립 몬스터를 제거하는 데 효과적인 무기입니다. 본진으로 돌아가기 보다는 중립 몬스터를 제거하며 궁극기로 체력을 회복하십시오.
가학증을 시기 적절하게 사용하면 적 챔피언이 자신의 불리한 처지도 잊고 덤벼들게 할 수 있습니다.
정령의 형상은 궁극기에서 얻는 치료 효과를 높이고 다른 스킬의 재사용 대기시간을 줄여줍니다.
The 자야 문도 박사 synergy stats shown here demonstrate the areas of her gameplay that do better (or worse) when paired with 문도 박사, 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 very large drop in her KDA (ratio of kills and assists to deaths) when paired with 문도 박사. His KDA decreased from NaN to NaN. This worsening shows that 문도 박사 helps 자야 perform not as well in competitive League games. Yet, the small difference indicates that this performance change is only marginal.
When 자야 is an ally to 문도 박사, she gets a little decrease in her full damage dealt. This change could indicate that 문도 박사 does not help protection for her to deal more damage or that his support also helps increase the round's duration. Similarly, when 자야 is played with 문도 박사 on the same team, he usually scores many fewer killing sprees than when she plays on his own. This is contrasting evidence that she is worse when playing with 문도 박사.
Moreover, when 자야 plays with 문도 박사 on the same team, she typically takes a little more damage than when she plays alone. Taking more damage may mean that 문도 박사 does a poor job of protecting 자야 during teamfights.
There is no one best synergy for 자야 that will no matter what be her #1 synergy. However, 문도 박사 is a superb companion for 자야. By being on the same side as 자야, he increases their win rate by 3.6% to 51.3%. This clearly indicates that there is a very strong bond between 자야 and 문도 박사 that allows them to perform at the top of their game together than without each other.
문도 박사 has a lower difficulty than 자야. That means you don't need to be very careful when finding 문도 박사 comrades to go into battle on the same side as, as they will require a relatively low level of skill to be able to do well with you.
Working on the same side, 자야 players will likely observe an overall large increase in your team’s ability to destroy wih physical damage. When paired, these two can tear through the other team with a lot of physcial damage.
Although, by grouping 자야 and 문도 박사 together, you may not be giving your other teammates a lot of crowd control. Make sure to bring other champs on your team that neutralizes this hole in their abilities.
Regardless of your 문도 박사 ally's skill level, you need to focus on increasing your income, outlasting your enemies, and clearing objectives. If you heed this simple advice, you should do well, regardless.
If you would like to learn all of the intricacies of 자야 in order to synergize with 문도 박사 during both the lane and mid / late game phases of LoL matches, you should continue reading to gather a few extra tips and tricks for this champion pairing. If you pay attention to the build and suggestions presented here, you will grow your win rate by a lot.
The ideal items to prioritize in your 자야 and 문도 박사 synergy build include 도미닉 경의 인사, 피바라기, and 나보리 신속검. When 자야 used at least these three great items in her build, she did a lot better when paired up with 문도 박사 than with many other commonly used builds. In fact, 자야 boasted an average winrate of 51.3% when synergizing her build and playstyle to 문도 박사 with this build.
To have the greatest probability of vanquishing your oponents, 자야 players should use the 치명적 속도, 침착, 전설: 핏빛 길, 최후의 일격, 피의 맛, and 궁극의 사냥꾼 runes from the 정밀 and 지배 rune sets. Of all the rune combinations that we analyzed for this champion pairing, this sequence of runes yielded the highest win rate. Moreover, these runes averaged a 51.3% win rate overall.
If you would like to get 자야 with 문도 박사 synergy tips and builds for a a particular rank, please choose one from the selection menu displayed above. By default, the stats and tips and suggestions displayed are calculated using all rounds with data with these champs.