체력이 낮을 때는 악의 장막이 주는 체력 회복 촉진 및 위장 효과로 전투에 복귀해 적의 빈틈을 노릴 수 있습니다.
은신 상태에서는 적 챔피언에게 얼마나 다가가면 감지되는지 주의를 기울이십시오. 근처 적 챔피언 위에 노란색이나 빨간색 눈이 빛나므로 적의 감지 여부를 파악할 수 있습니다.
황홀한 저주의 매혹 시전 시간이 길게 느껴질 수도 있지만 이블린은 매혹과 마법 저항력 감소 효과로 매우 유리한 입장에서 싸울 수 있기 때문에 기다릴 만한 가치가 있습니다.
칼리스타의 기동력은 공격에 의해 좌우됩니다. 즉, 공격 사거리 밖에 있을 때는 기동력이 낮으며, 공격 속도가 느려지면 교전 시 이동할 수 있는 범위가 줄어듭니다.
수풀 등을 활용해서 칼리스타의 시야에서 벗어나면 기본 공격이 빗나가, 창이 바닥으로 떨어집니다.
칼리스타는 기본 공격 준비 동작을 취소할 수 없습니다. 기동력은 뛰어나지만, 이 때문에 공격을 언제 시작할지 제대로 짚으면 스킬을 적중시킬 수 있습니다.
The stat comparisons shown here show some significant 이블린 against 칼리스타 counter stats that may help us figure out the differences between these two champions. For instance, 이블린’s KDA ratio ([kills + assists] / deaths) of NaN is greater than 칼리스타’s ratio of NaN, highlighting that 이블린 may be more central to her team's team fighting capacity than 칼리스타..
이블린 normally has a similar longest kill spree as her opponent does. On average, she receives more damage than 칼리스타. This commonly reflects different amounts of tankyness, yet it can also show that the champ with increased health has less mobility and thus is not able to escape additional damage when poked or engaged.
Both League of Legends champs are great champions. Both have their strengths, weaknesses, and counters. In League's current meta, 이블린 usually wins when facing off against 칼리스타, with a 54.2% win rate. Therefore, 이블린 makes a great counter to 칼리스타.
While 이블린 does have a much higher win rate compared to 칼리스타, when facing one another, 이블린 also has a much greater learning curve that makes her a more difficult champion to learn. You should be be fine when picking 이블린 into 칼리스타as her relative depth means that you may not be able to reach her full potential without a lot of practice beforehand.
Furthermore, 이블린 has some amount of utility and CC, a similar amount to 칼리스타. This makes her just as valuable during teamfights, especially when fighting champions with a lot of burst damage.
While there isn't one best champion for every situation in League of Legends, in 이블린 vs 칼리스타 matchups, 이블린 is the better champion with a noticably higher win rate, more champion depth, and a similar amount of utility to help out your team members during teamfights.
이블린 is a great counter for 칼리스타. Make sure you focus your gameplay on increasing your CS and taking out objectives. If you can do that, you should be able to stand on your own as 이블린 against 칼리스타.
If you would like to truly master 이블린 to counter 칼리스타 during both the early game and mid / late game phases of League of Legends, you should keep reading to pick up a few extra tips and tricks for this matchup. If you listen to the build and tips presented above, you should grow your win rate by a lot and be that much closer to League of Legends pro players.
이블린 usually accumulates a lot less CS relative to 칼리스타. Champions who on average don't acquire many minion kills typically don't require much CS to be effective, such as supports. They are able to scale properly off of their skills, stats, and first items alone. Yet, champs with a lot of CS, such as hyper-carries, often require several high cost items to be effective. In either situation, try to exceed the values shown on this page to do well.
The most crucial items to prioritize in your 이블린 versus 칼리스타 build include 리치베인, 그림자불꽃, and 폭풍 쇄도. When 이블린 combined at least these three pieces in her build, she performed much better vs 칼리스타 than with many other commonly used builds. In fact, 이블린 had an average win rate of 54.2% when countering 칼리스타 with this build.
To have the best probability of beating 칼리스타 as 이블린, you should equip the 감전, 돌발 일격, 사냥의 증표, 끈질긴 사냥꾼, 우주적 통찰력, and 마법의 신발 runes from the 지배 and 영감 rune sets. Out of all the runes players picked for 이블린 vs 칼리스타 clashes, this mixture of runes yielded the greatest win rate. Notably, these runes provided a 54.2% winrate overall.
If you would like to view 이블린 versus 칼리스타 tips and matchup stats and build suggestions for a a specific division rank, feel free to choose one from the selection menu provided above. If viewing for the first time, the statistics and strategies given are computed using every round with data with both champs.