N'oubliez pas que les ennemis proches peuvent voir dans quel mur vous vous trouvez.
Observez bien la composition de votre équipe et celle de l'équipe adverse avant de choisir une forme.
Chacune des armes d'Aphelios a ses propres faiblesses. Essayez d'exploiter celles qui bénéficieront le plus à votre champion. Attention à l'arme gravitationnelle violette ! Elle peut vous immobiliser.
The stat comparisons shown on this page feature some vital Kayn against Aphelios matchup statistics that can help us grasp the distinctions between the two. As an example, Kayn’s KDA ratio ([kills + assists] / deaths) of NaN is more than Aphelios’s ratio of NaN, showing that Kayn may be more central to his team's team fighting potential than Aphelios..
Kayn normally has a similar longest kill spree as his enemy does. On average, he receives more damage than Aphelios. This commonly reflects differing health capacities; however, it can also indicate that the champ with higher health has less agility and thus is unable to escape additional damage when poked or engaged.
Both League champs are great champions. Both champs have their strengths, weaknesses, and counters. In the game's current meta, Kayn usually wins when facing off against Aphelios, with a 51.1% win rate. Therefore, Kayn makes a good counter for Aphelios.
While Kayn does have a higher win rate than Aphelios, when on opposite teams, Kayn also has a lower level of difficulty that makes him a less challenging character to learn and master. You still need to be cautious when picking Kayn into Apheliosas his relative depth means that you may not be able to reach his full potential without a significant amount of practice beforehand.
Furthermore, Kayn also has almost no amount of utility and CC, a similar amount to Aphelios. This makes her just as valuable during team fights, especially when trying to counter champions with a ton of burst damage.
While there is not one best champion overall in League of Legends, in Kayn vs Aphelios matchups, Kayn is the better champion with a higher win rate, less champion complexity, and a similar amount of utility to help out your team members during teamfights.
Kayn is a decent counter for Aphelios. Focus your strategy on maximizing your gold income and clearing objectives. If you are able to do that, you should do very well as Kayn against Aphelios.
To learn all of the intricacies of Kayn to counter Aphelios during both the early game and mid / late game phases of League of Legends, you should keep reading to pick up a few extra tips and tricks for this matchup. If you listen to the build and tips displayed here, you will grow your win rate by a lot and be closer to League of Legends pro players.
Kayn on average picks up a lot less CS relative to Aphelios. Champs who typically don't get much CS typically don't require much CS to be effective, such as sup champs. They are able to scale properly off of their abilities and first items alone. Yet, champions with a lot of CS, such as hyper-carries, usually require several high cost items to be effective. In either case, try to surpass the values reported here to do well.
The top items to prioritize in your Kayn versus Aphelios build include Lame spectre de Youmuu, Rancune de Serylda, and Opportunité. When Kayn incorporated at least these three pieces in his build, he performed much better vs Aphelios than with most other common counter builds. In fact, Kayn had an average winrate of 51.1% when playing against Aphelios with this build.
To have the highest chance of crushing Aphelios as Kayn, you should use the Moisson noire, Ruée offensive, Arracheur d'œil, Chasseur de trésors, Chaussures magiques, and Savoir cosmique runes from the Domination and Inspiration rune sets. Out of all the rune combinations that we analyzed for Kayn vs Aphelios battles, this order of runes yielded the greatest win rate. Moreover, these runes provided a 51.1% win rate overall.
If you need to see Kayn vs Aphelios tips and matchup stats and build suggestions for a a distinct division, please choose one from the selection menu displayed above. At first, the statistics and guides displayed are computed using all matches finished with both champs.