Ricorda che i nemici nelle vicinanze possono vedere in quale muro ti trovi.
Quando scegli la tua forma, guarda la formazione della tua squadra e di quella avversaria.
The stats shown on this page emphasize several strategic Kayn vs. Renata Glasc counter statistics that may help you figure out the distinctions between the pair. Kayn’s KDA ratio ([kills + assists] / deaths) of NaN is better than Renata Glasc’s KDA ratio of NaN, indicating that Kayn may be more central to his team's team fighting capability than Renata Glasc. This observation is largely fueled by the difference in kills.
Kayn usually has a much larger longest kill spree than his opponent does. Commonly, he receives more damage than Renata Glasc. This typically indicates differing health capacities; however, it can also hint that the one champion has less mobility and thus is not able to kite away from additional harm when poked or engaged.
Both League champions are great. Both have their strengths, weaknesses, and counters. In League's current meta, Kayn usually wins when taking on Renata Glasc, with a 51.1% win rate. Therefore, Kayn makes a good counter for Renata Glasc.
While Kayn does have a higher winrate compared to Renata Glasc, when they face off with one another, Kayn also has a greater difficulty level that makes him a more challenging character to pick up and master. You should be careful when picking Kayn into Renata Glascas his relative depth means that you may not be able to unleash his full potential without a significant amount of practice beforehand.
Additionally, Kayn also has almost no amount of CC and other utility, a similar amount to Renata Glasc. This often makes her just as valuable during teamfights, especially when facing champions with a ton of burst damage.
While there is not one best champion for every situation in League of Legends, in Kayn vs Renata Glasc matchups, Kayn is the better champ with a higher win rate, similar champion depth, and a similar amount of utility to help out your allied champions during teamfights.
Kayn is a decent counter to Renata Glasc. You will do well by focussing your actions on increasing your gold and cs and clearing objectives. If you can do that, you should do very well as Kayn against Renata Glasc.
To learn all of the intricacies of Kayn in order to counter Renata Glasc during both the early game and mid / late game phases of League of Legends, you should continue reading to learn a few extra tricks and insights into this matchup. If you listen to the build and stats shown here, you will grow your win rate significantly and be closer to League of Legends pro players.
Kayn typically picks up a similar amount of CS relative to Renata Glasc. Champions who typically don't take much CS often don't have to have much CS to be valuable teammates, such as support champions. These kinds of champions are capable of scaling well off of their abilities and first items alone. Yet, champions with a lot of CS, such as hyper-carries, often need several high cost items to be effective. In either situation, try to surpass the numbers displayed on this page to do well.
The most crucial items to prioritize in your Kayn versus Renata Glasc build consist of Rancore di Serylda, Tracotanza, and Idra profana. When Kayn incorporated at least these three items in his build, he did significantly better vs. Renata Glasc than with most other commonly used item sets. In fact, Kayn had an average winrate of 51.1% when countering Renata Glasc with these items in his kit.
To have the best likelihood of coming out on top against Renata Glasc as Kayn, Kayn players should take the Evoca Aery, Cappa della nuvola, Trascendenza, Tempesta incombente, Impatto improvviso, and Cacciatore di tesori runes from the Stregoneria and Dominazione rune sets. Of all the rune sets players used for Kayn vs Renata Glasc counters, this mixture of runes resulted in the highest win rate. Notably, these runes averaged a 51.1% win rate overall.
If you want to get Kayn x Renata Glasc tips and counter builds for a a distinct rank, please select one from the selection menu above. By default, the stats and build suggestions shown are computed using all rounds finished with these champs.