„Reißen“ eignet sich besonders gut für Todesstöße, da dessen Abklingzeit zurückgesetzt wird, falls es das Ziel tötet.
Wenn du einmal einen Bewegungsbefehl eingibst, um „Kriegerische Anmut“ auszulösen, wird Kalistas Ziel für den normalen Angriff nicht gelöscht.
Durch ihre passive Fähigkeit wird Kalistas Lauftempo durch Angriffstempo effektiv erhöht.
The stat comparisons shown on this page clarify several valuable Kalista vs. Samira counter statistics that can help you appreciate the differences between the two. Kalista’s KDA ratio ([kills + assists] / deaths) of NaN is more than Samira’s ratio of NaN, indicating that Kalista may be more central to her team's team fighting capability than Samira..
Kalista typically has a similar longest killing spree as her enemy does. On average, she takes a similar amount of damage to Samira. This commonly reflects differing health capacities, yet it can also imply that the champion with more HP has less mobility and thus is not able to flee from further harm when engaged or poked.
Both LoL champs are great. Both have their pros and cons. In League's current meta, Kalista usually loses when taking on Samira, with a 48.2% win rate. Therefore, Kalista makes a poor counter to Samira.
While Kalista does have a lower winrate than Samira, when they face off with one another, Kalista also has a greater level of difficulty that makes her a more complex champ to develop with. You should be careful when picking Kalista into Samiraas her relative depth means that you may not be able to unleash her full potential without a lot of practice beforehand.
Moreover, Kalista has only a small amount of CC and other utility, a similar amount to Samira. This makes her just as valuable during teamfights, especially when fighting champions with a ton of burst damage.
While there isn't a single best champion overall 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 team members during team fights.
Kalista is a somewhat poor counter for Samira. You will do well by focussing your gameplay on keeping up your gold and cs and taking out objectives. If you can do that, you should do very well as Kalista against Samira.
If you would like to learn all of the intricacies of Kalista to counter Samira during both the laning and mid / late game phases of League of Legends, you should keep reading to learn a few extra lessons on this matchup. If you mind the build and tips presented above, you will grow your win rate significantly and be that much closer to League of Legends pro players.
Kalista typically accumulates a similar amount of CS as Samira. Champs who typically don't get much CS usualy don't have to have much CS to be effective, such as support champions. These kinds of champions are capable of scaling well off of their skills, stats, and first items alone. Yet, champs with a lot of CS, such as hyper-carries, usually require several high cost items to be effective. In either situation, try to do better than the numbers displayed here to do well.
The top items to have in your Kalista versus Samira build include Ende der Weisheit, Guinsoos Wutklinge, and Klinge des gestürzten Königs. When Kalista included at least these three items in her build, she did much better versus Samira than with most other typical item sets. In fact, Kalista boasted an average winrate of 48.2% when countering Samira with these items in her kit.
To have the best chance of beating Samira as Kalista, Kalista players should equip the Tödliches Tempo, Triumph, Legende: Eifer, Gnadenstoß, Knochenpanzerung, and Zuwachs runes from the Präzision and Entschlossenheit rune sets. Out of all the rune combinations we have analyed for Kalista vs Samira clashes, this combo of runes yielded the greatest win rate. Notably, these runes gave a 48.2% win rate overall.
If you would like to get Kalista versus Samira tips and matchup stats and build suggestions for a an individual division, feel free to choose one from the selection menu shown above. At first, the statistics and strategies shown are calculated using all rounds with data with both champs.