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 shown on this page feature some critical Kalista vs. Samira matchup statistics that may help you figure out the differences between this pair of champions. For instance, Kalista’s KDA ratio ([kills + assists] / deaths) of NaN is better than Samira’s ratio of NaN, highlighting that Kalista may be more central to her team's team fighting potential than Samira..
Kalista normally has a similar longest killing spree as her matchup does. Typically, she takes a similar amount of damage to Samira. This typically indicates different amounts of tankyness, yet it can also illustrate that the one champ has less mobility and thus is not able to kite away from further damage when engaged or poked.
Both League champs are great. Both have their pros and cons. In the game's current meta, Kalista usually loses when facing off against Samira, with a 48.2% win rate. As a result, Kalista makes a bad counter for Samira.
While Kalista does have a lower win rate than Samira, when on opposite teams, Kalista also has a greater learning curve that makes her a more challenging character to pick up and master. You should be careful when picking Kalista into Samiraas her relative depth means you may not be able to unleash her full potential without a significant amount of practice beforehand.
Furthermore, Kalista has almost no amount of utility and CC, a similar amount to Samira. This often makes her just as valuable during team fights, especially when facing champions with a lot of burst damage.
While there isn't one best champion for every situation in League of Legends, in Kalista vs Samira matchups, Samira is the better champ with a lower win rate, more champion depth, and a similar amount of utility to help out your allied champions during team fights.
Kalista is a somewhat poor counter to Samira. You will do well by focussing your play on increasing your CS and clearing objectives. If you can do that, you should hold your own as Kalista against Samira.
To learn all of the intricacies of Kalista to counter Samira during both the lane and mid / late game phases of League of Legends, you should keep reading to pick up a few extra tricks and insights into this matchup. If you pay attention to the build and stats shown above, you will increase your win rate significantly and be that much closer to League of Legends pro players.
Kalista on average gets a similar amount of CS compared to Samira. Champions who on average don't get many minion kills often don't need much CS to be valuable teammates, such as support champions. They are capable of scaling properly 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 situation, try to surpass the numbers reported here to do well.
The top items to focus on in your Kalista versus Samira build include Au bout du rouleau, Lame enragée de Guinsoo, and Lame du roi déchu. When Kalista used at least these three items in her build, she performed much better vs Samira than with many other commonly used builds. In fact, Kalista boasted an average win rate of 48.2% battling Samira with these items in her kit.
To have the best likelihood of coming out on top against Samira as Kalista, you should take the Tempo mortel, Triomphe, Légende : alacrité, Coup de grâce, Plaque d'os, and Surcroissance runes from the Précision and Volonté rune sets. Of all the rune combinations players picked for Kalista vs Samira LoL games, this composite of runes yielded the highest win rate. In fact, these runes averaged a 48.2% winrate overall.
If you want to see Kalista vs Samira tips and counter builds for a a particular rank, feel free to select one from the selection menu provided above. By default, the statistics and strategies given are calculated using all games with data with these champions.