점멸로 방심한 적에게 접근해 분쇄/박치기 스킬 연계를 사용하면 적을 아군 쪽으로 던져버릴 수 있습니다.
알리스타에게는 이동 속도가 생명입니다. 어떤 신발을 구입할지 신중하게 생각하십시오.
분쇄를 사용하면 박치기를 사용하기 좋은 위치를 잡을 수 있습니다.
르블랑은 궁극기로 옆에 환영을 불러내 함께 스킬을 사용할 수도 있고, 멀리 떨어진 곳에 환영을 소환할 수도 있습니다.
멀리 떨어진 곳에 환영이 나타난다면 가장 가까운 챔피언에게 다가가 스킬을 사용한 뒤 바로 사라집니다. 이 경우 스킬은 피해를 입히지 않습니다.
르블랑이 돌진 스킬인 왜곡을 이미 사용한 후 공격하면 위험한 상황을 피할 수 있습니다.
르블랑에게 기절 혹은 침묵 스킬을 사용하면 왜곡 스킬을 재사용해 돌아가지 못하게 할 수 있습니다.
The stat comparisons shown here feature some critical 알리스타 versus 르블랑 matchup stats that can help us figure out the differences between the two. 알리스타’s KDA ratio ([kills + assists] / deaths) of NaN is better than 르블랑’s KDA ratio of NaN, indicating that 알리스타 may be more central to his team's team fighting capability than 르블랑. This observation is largely fueled by the differences in assists.
알리스타 normally has a significantly smaller longest killing spree than his counter does. On average, he takes more damage than 르블랑. This typically indicates different amounts of tankyness; however, it can also illustrate that the one champ has less agility and thus is unable to kite away from additional damage when engaged or poked.
Both LoL champs are great. Both have their strengths, weaknesses, and counters. In League's current meta, 알리스타 usually wins when taking on 르블랑, with a 53.4% win rate. As a result, 알리스타 makes a great counter to 르블랑.
While 알리스타 does have a higher win rate than 르블랑, when they face off with one another, 알리스타 also has a lower difficulty level that makes him a less complex character to learn and master. You should be be fine when picking 알리스타 into 르블랑as his relative depth means that you may not be able to reach his full potential without a lot of practice beforehand.
Furthermore, 알리스타 also has a great amount of CC and other utility, a similar amount to 르블랑. This often makes her just as valuable during teamfights, especially when trying to counter champions with a lot of burst damage.
While there is not one best champion for every situation in League of Legends, in 알리스타 vs 르블랑 matchups, 알리스타 is the better champion with a noticably higher win rate, less champion complexity, and a similar amount of utility to help out your team members during teamfights.
알리스타 is a great counter to 르블랑. Make sure you focus your actions on maximizing your gold and cs and destroying objectives. If you can do that, you should be able to stand on your own as 알리스타 against 르블랑.
If you would like to learn all of the intricacies of 알리스타 to counter 르블랑 during both the lane and mid / late game phases of League of Legends, you should continue reading to pick up a few extra tricks and insights into this matchup. If you listen to the build and suggestions presented above, you should increase your win rate significantly and be closer to League of Legends pro players.
알리스타 on average gets a lot less CS as 르블랑. Champions who on average don't acquire many minion kills usualy don't have to have much CS to be effective, such as supports. These kinds of champions are capable of scaling well off of their skills, stats, and first items alone. Yet, champions with a lot of CS, such as hyper-carries, typically require several high cost items to be effective. In either case, try to exceed the numbers shown on this page to do well.
The ideal items to focus on in your 알리스타 versus 르블랑 build include 기사의 맹세, 강철의 솔라리 펜던트, and 천상의 이의. When 알리스타 used at least these three pieces in his build, he did much better vs. 르블랑 than with many other commonly used item sets. In fact, 알리스타 boasted an average winrate of 53.4% battling 르블랑 with this build.
To have the highest chance of coming out on top against 르블랑 as 알리스타, 알리스타 players should take the 빙결 강화, 마법공학 점멸기, 비스킷 배달, 우주적 통찰력, 뼈 방패, and 불굴의 의지 runes from the 영감 and 결의 rune sets. Of all the rune combinations we have analyed for 알리스타 vs 르블랑 counter picks, this mix of runes yielded the highest win rate. In fact, these runes averaged a 53.4% winrate overall.
If you would like to get 알리스타 x 르블랑 tips and builds for a an individual division, feel free to select one from the selection menu provided above. At first, the statistics and guides displayed are computed using all games run with these champs.