Extirpation aide à achever des unités, car son délai de récupération prend fin si la cible meurt sur le coup.
Donner un ordre de déplacement pour déclencher Maintien martial ne vous fait pas perdre la cible de votre attaque de base.
Compte tenu de sa compétence passive, la mobilité de Kalista augmente avec sa vitesse d'attaque.
The stats provided here show some valuable Kalista versus Akshan counter statistics that may help us understand the differences and similarities between this pair of champions. As an example, Kalista’s KDA ratio ([kills + assists] / deaths) of NaN is better than Akshan’s KDA ratio of NaN, indicating that Kalista may be more central to her team's team fighting capability than Akshan..
Kalista often has a similar longest killing spree as her matchup does. On average, she takes a similar amount of damage to Akshan. This is usually reflective of differing health capacities, but it can also indicate that the one champ has less mobility and thus is unable to escape additional harm when poked or engaged.
Both League champs are great. Both champs have their pros and cons. In League's current meta, Kalista usually loses when playing against Akshan, with a 48.3% win rate. Thus, Kalista makes a poor counter for Akshan.
While Kalista does have a lower win rate than Akshan, when they face off with one another, Kalista also has a much greater level of difficulty that makes her a more complex champion to pick up and master. You should be careful when picking Kalista into Akshanas her relative depth means that you may not be able to reach her full potential without a significant amount of practice beforehand.
Furthermore, Kalista has only a small amount of utility and CC, a similar amount to Akshan. This often makes her just as valuable during team fights, especially when facing champions with a lot of burst damage.
While there is not one best champion in League of Legends, in Kalista vs Akshan matchups, Akshan is the better champ with a lower win rate, more champion depth, and a similar amount of utility to help out your teammates during late stage team fights.
Kalista is a somewhat poor counter to Akshan. Make sure you focus your tactics on increasing your CS and clearing objectives. If you do that, you should hold your own as Kalista against Akshan.
If you would like to truly master Kalista in order to counter Akshan during both the lane and mid / late game phases of League of Legends, you should continue reading to gather a few extra tricks and insights into this matchup. If you pay attention to the build and stats presented here, you will increase your win rate significantly and be closer to League of Legends pro players.
Kalista most often racks up a similar amount of CS as Akshan. Champions who typically don't earn much CS usualy don't have to have much CS to be effective, such as support champions. They are able to scale well off of their skills, stats, and first items alone. Yet, champions with a lot of CS, such as hyper-carries, often require several high cost items to be effective. In either case, try to exceed the values displayed here to do well.
The most crucial items to prioritize in your Kalista versus Akshan build include Ouragan de Runaan, Lame enragée de Guinsoo, and Lame du roi déchu. When Kalista included at least these three items in her build, she did significantly better vs Akshan than with most other common item sets. In fact, Kalista had an average win rate of 48.3% when countering Akshan with these items in her kit.
To have the highest probability of crushing Akshan as Kalista, you should equip the Tempo mortel, Triomphe, Légende : alacrité, Coup de grâce, Goût du sang, and Chasseur de trésors runes from the Précision and Domination rune sets. Of all the rune builds we have analyed for Kalista vs Akshan clashes, this set of runes yielded the greatest win rate. In fact, these runes averaged a 48.3% win rate overall.
If you want to view Kalista x Akshan tips and builds for a a distinct rank, feel free to choose one from the selection menu displayed above. By default, the stats and build suggestions given are computed using all rounds run with both champs.