Acquistare lumi della visione ti aiuta a rilevare la posizione di Evelynn e prepararti alle sue imboscate.
Buona parte del pericolo di Evelynn è rappresentato dal suo incanto, Fascino. Proteggi gli alleati marchiati da Fascino e, se sei marchiato, accertati che ci siano alleati tra te e la posizione da cui Evelynn potrebbe attaccarti.
Se sospetti che Evelynn stia per tendere un'imboscata a un tuo compagno, faglielo sapere segnalandolo sulla minimappa e scrivendo in chat.
The stats shown here underscore several valuable Samira versus Evelynn counter statistics that may help us explain the differences and similarities between the pair. Samira’s KDA ratio ([kills + assists] / deaths) of NaN is greater than Evelynn’s ratio of NaN, demonstrating that Samira may be more central to her team's team fighting effectiveness than Evelynn..
Samira usually has a similar longest killing spree as her opponent does. On average, she receives less damage than Evelynn. This often reflects differing health capacities, but it can also show that the champ with higher health has less mobility and thus is unable to kite away from further harm when poked or engaged.
Both League champs are great champions. Both champs have their strengths, weaknesses, and counters. In the game's current meta, Samira usually loses when taking on Evelynn, with a 48.4% win rate. Therefore, Samira makes a poor counter for Evelynn.
While Samira does have a lower winrate compared to Evelynn, when facing one another, Samira also has a much lower difficulty level that makes her a less challenging champ to develop with. You still need to be cautious when picking Samira into Evelynn.
Moreover, Samira has almost no amount of utility and CC, a similar amount to Evelynn. This makes her just as valuable during team fights, especially when fighting champions with a lot of burst damage.
While there is not a single best champion in League of Legends, in Samira vs Evelynn matchups, Evelynn is the better champ with a lower win rate, less champion complexity, and a similar amount of utility to help out your allies during teamfights.
Samira is a somewhat poor counter to Evelynn. Focus your tactics on keeping up your CS and taking out objectives. If you are able to do that, you should do very well as Samira against Evelynn.
If you would like to learn all of the intricacies of Samira in order to counter Evelynn during both the early game and mid / late game phases of League of Legends, you should continue reading to pick up a few extra lessons on this matchup. If you mind the build and tips presented above, you will increase your win rate by a lot and be that much closer to League of Legends pro players.
Samira on average racks up much more CS relative to Evelynn. Champions who on average don't acquire much CS typically don't have to have much CS to be effective, such as support champions. They are able to scale properly off of their skills, stats, and first items alone. Yet, champs with large amounts of CS, such as hyper-carries, often have to have a lot of items to be effective. In either case, try to do better than the values shown on this page to do well.
The top items to have in your Samira versus Evelynn build include Frammento d'infinito, Lama di Youmuu, and Il Collezionista. When Samira incorporated at least these three items in her build, she performed significantly better countering Evelynn than with many other commonly used builds. In fact, Samira boasted an average winrate of 48.4% when playing against Evelynn with this counter build.
To have the greatest chance of crushing Evelynn as Samira, you should take the Conquistatore, Trionfo, Leggenda: Stirpe, L'ultima sfida, Corazza ossea, and Rivitalizzare runes from the Precisione and Determinazione rune sets. Of all the rune combinations players picked for Samira vs Evelynn LoL games, this combination of runes resulted in the best win rate. Moreover, these runes averaged a 48.4% winrate overall.
If you want to see Samira x Evelynn tips and matchup stats and build suggestions for a a particular player tier, feel free to choose one from the selection menu displayed above. By default, the statistics and guides given are computed using all matches finished with both champs.