Гвен может наносить урон врагам, которые находятся за пределами области Священного тумана, особенно с помощью абсолютного умения.
Некоторые умения Гвен могут наложить эффект пассивного умения на несколько целей, поэтому постарайтесь атаковать группы врагов, чтобы нанести максимальный урон и восстановить себе больше здоровья.
Постоянно применяйте автоатаки – они не только наносят дополнительный урон, но и усиливают многие умения Гвен, а также сбрасывают их перезарядку.
The stat comparisons shown here feature several vital Гвен versus Серафина counter statistics that may help you appreciate the differences between the two. As an example, Гвен’s KDA ratio ([kills + assists] / deaths) of NaN is better than Серафина’s KDA ratio of NaN, indicating that Гвен may be more central to her team's team fighting potential than Серафина..
Гвен usually has a slightly larger longest killing spree than her enemy does. Commonly, she takes more damage than Серафина. This commonly reflects different amounts of tankyness, but it can also hint that the champ with higher HP has less mobility and thus is unable to escape additional harm when poked or engaged.
Both LoL champions are great. Both have their pros and cons. In the game's current meta, Гвен usually loses when trying to fight Серафина, with a 47.5% win rate. Thus, Гвен makes a poor counter for Серафина.
While Гвен does have a lower winrate compared to Серафина, when on opposite teams, Гвен also has a much greater learning curve that makes her a more time consuming champ to learn. You should be very concerned when picking Гвен into Серафина.
Additionally, Гвен also has some amount of CC and other utility, a similar amount to Серафина. This makes her just as valuable during teamfights, especially when facing champions with a lot of burst damage.
While there is not one best champion for every situation in League of Legends, in Гвен vs Серафина matchups, Серафина is the better champ with a lower win rate, more champion depth, and a similar amount of utility to help out your allies during teamfights.
Гвен is a terribly counter to Серафина. Make sure you focus your strategy on increasing your gold and cs and clearing objectives. If you are able to do that, you should do very well as Гвен against Серафина.
To truly master Гвен to counter Серафина during both the laning and mid / late game phases of League of Legends, you should keep reading to gather a few extra tips and tricks for this matchup. If you pay attention to the build and stats presented here, you will increase your win rate by a lot and be that much closer to League of Legends pro players.
Гвен typically picks up more CS relative to Серафина. Champs who typically don't acquire much CS usualy don't require much CS to be valuable teammates, such as sup champs. These kinds of champions are able to scale properly off of their abilities and first items alone. Yet, champs with large amounts of CS, such as hyper-carries, usually need several high cost items to be effective. In either situation, try to surpass the values shown here to do well.
The ideal items to have in your Гвен versus Серафина build include Смертельная шляпа Рабадона, Космический ускоритель, and Творец разломов. When Гвен included at least these three pieces in her build, she performed a lot better versus Серафина than with many other typical item sets. In fact, Гвен boasted an average win rate of 47.5% battling Серафина with this counter build.
To have the highest chance of vanquishing Серафина as Гвен, Гвен players should equip the Завоеватель, Присутствие духа, Легенда: рвение, Последний рубеж, Второе дыхание, and Неустрашимость runes from the Точность and Храбрость rune sets. Of all the rune combinations players picked for Гвен vs Серафина counter picks, this order of runes resulted in the highest win rate. In fact, these runes provided a 47.5% winrate overall.
If you want to view Гвен vs Серафина tips and counter stats for a a particular player tier, feel free to select one from the selection menu displayed above. By default, the stats and strategies displayed are computed using all games with data with both champs.