그림자 공격은 탈출할 때 유용한 스킬이지만 여러 명을 공격할 때에도 유용하게 사용할 수 있습니다.
적 뒤에 자리를 잡고 녹서스식 외교의 근접 공격을 시도하고 싶을 때 암살자의 길을 사용해 보세요.
전투 전에 미리 공격 대상을 선택해두십시오. 탈론의 모든 스킬을 하나의 대상에 집중시키면 최고의 성과를 거둘 수 있습니다. 스킬을 분산시켜 사용하면 위험한 상황에 처할 수도 있습니다.
애니비아가 공격로에 있을 때 협공하십시오. 여럿이서 함께 공격하면 손쉽게 애니비아의 알을 제거할 수 있습니다.
원거리형 챔피언을 플레이 중이라면 애니비아의 냉기 폭발을 좀 더 쉽게 회피할 수 있도록 충분한 거리를 유지하십시오.
애니비아가 공격로에 있을 때 공격하는 것이 좋습니다. 애니비아는 정글에서 저레벨 결정화 스킬로 이동로를 차단할 수 있습니다.
The stat comparisons provided here clarify some valuable 탈론 vs. 애니비아 counter statistics that may help you figure out the differences and similarities between the pair. For instance, 탈론’s KDA ratio ([kills + assists] / deaths) of NaN is more than 애니비아’s KDA ratio of NaN, showing that 탈론 may be more central to his team's team fighting effectiveness than 애니비아..
탈론 typically has a slightly larger longest killing spree than his matchup does. On average, he takes a similar amount of damage to 애니비아. This typically indicates differing health capacities, but it can also illustrate that the one champion has less mobility and thus is unable to flee from additional harm when poked or engaged.
Both League champions are great. Both have their strengths, weaknesses, and counters. In League's current meta, 탈론 usually fairs equally well when taking on 애니비아, with a 49.4% win rate. Therefore, 탈론 makes an ok counter for 애니비아.
While 탈론 does have a lower winrate compared to 애니비아, when they face off with one another, 탈론 also has a lower level of difficulty that makes him a less complex character to learn and master. You still need to be cautious when picking 탈론 into 애니비아as his relative depth means you may not be able to unleash his full potential without a significant amount of practice beforehand.
Moreover, 탈론 also has only a small amount of CC and other utility, a similar amount to 애니비아. This often makes her just as valuable during team fights, especially when trying to counter champions with a lot of burst damage.
While there isn't a single best champion overall in League of Legends, in 탈론 vs 애니비아 matchups, 애니비아 is the better champ with a similar win rate, less champion complexity, and a similar amount of utility to help out your team members during late stage team fights.
탈론 is a somewhat poor counter to 애니비아. You will do well by focussing your tactics on increasing your gold income and clearing objectives. If you do that, you should be able to stand on your own as 탈론 against 애니비아.
To learn all of the intricacies of 탈론 in order to counter 애니비아 during both the early game and mid / late game phases of League of Legends, you should keep reading to gather a few extra lessons on this matchup. If you pay attention to the build and suggestions shown above, you should increase your win rate significantly and be that much closer to League of Legends pro players.
탈론 typically picks up a similar amount of CS as 애니비아. Champs who on average don't take many minion kills often don't require much CS to be effective, such as sup champs. These kinds of champions are able to scale properly off of their abilities and first items alone. Yet, champions with a lot of CS, such as hyper-carries, usually have to have many items to be effective. In either case, try to surpass the values reported on this page to do well.
The best items to have in your 탈론 versus 애니비아 build include 요우무의 유령검, 원칙의 원형낫, and 불경한 히드라. When 탈론 included at least these three items in his build, he performed significantly better vs. 애니비아 than with most other commonly used counter builds. In fact, 탈론 boasted an average win rate of 49.4% battling 애니비아 with this build.
To have the best probability of coming out on top against 애니비아 as 탈론, 탈론 players should equip the 감전, 돌발 일격, 사냥의 증표, 끈질긴 사냥꾼, 절대 집중, and 빛의 망토 runes from the 지배 and 마법 rune sets. Of all the rune combinations players chose for 탈론 vs 애니비아 clashes, this combo of runes yielded the greatest win rate. In fact, these runes gave a 49.4% winrate overall.
If you would like to get 탈론 x 애니비아 tips and matchup stats and build suggestions for a a distinct division rank, feel free to select one from the selection menu above. At first, the stats and strategies given are calculated using all matches with data with these champions.