Старайтесь как можно лучше использовать Привет из Икатии.
Слизь Бездны упрощает попадание Живой артиллерии.
Ког'Мао бьет дальше большинства чемпионов, когда использует Биомагический обстрел.
The stats shown on this page highlight several strategic Ког'Мао versus Рената Гласк counter statistics that can help you interpret the differences between the two. As an example, Ког'Мао’s KDA ratio ([kills + assists] / deaths) of NaN is more than Рената Гласк’s ratio of NaN, showing that Ког'Мао may be more central to his team's team fighting capacity than Рената Гласк. This observation is in large part caused by the difference in kills.
Ког'Мао typically has a much larger longest kill spree than his matchup does. On average, he takes more damage than Рената Гласк. This often reflects different amounts of tankyness, yet it can also hint that the champion with increased HP has less mobility and thus is not able to flee from further harm when poked or engaged.
Both League champions are great. Both have their strengths, weaknesses, and counters. In League's current meta, Ког'Мао usually fairs equally well when facing off against Рената Гласк, with a 49.8% win rate. Therefore, Ког'Мао makes an ok counter to Рената Гласк.
While Ког'Мао does have a lower winrate than Рената Гласк, when they face off with one another, Ког'Мао also has a lower difficulty level that makes him a less time consuming champ to develop with. You should be careful when picking Ког'Мао into Рената Гласк.
Moreover, Ког'Мао also has almost no amount of utility and CC, a similar amount to Рената Гласк. This makes her just as valuable during team fights, especially when trying to counter champions with a lot of burst damage.
While there isn't a single best champion for every situation in League of Legends, in Ког'Мао vs Рената Гласк matchups, Рената Гласк is the better champ with a similar win rate, less champion complexity, and a similar amount of utility to help out your allies during late stage team fights.
Ког'Мао is a somewhat poor counter for Рената Гласк. Make sure you focus your strategy on increasing your gold and cs and taking out objectives. If you can do that, you should do very well as Ког'Мао against Рената Гласк.
If you would like to learn all of the intricacies of Ког'Мао in order to counter Рената Гласк during both the early game and mid / late game phases of League of Legends, you should keep reading to gather a few extra tricks and insights into this matchup. If you listen to the build and suggestions presented above, you will grow your win rate by a lot and be that much closer to League of Legends pro players.
Ког'Мао typically accumulates much more CS as Рената Гласк. Champs who typically don't get many minion kills typically don't need much CS to be effective, such as supports. They are able to scale well off of their abilities and first items alone. Yet, champions with large amounts of CS, such as hyper-carries, often require a lot of items to be effective. In either situation, try to exceed the numbers reported on this page to do well.
The ideal items to use in your Ког'Мао versus Рената Гласк build consist of Клинок ярости Гинсу, Клинок Падшего короля, and Светотень. When Ког'Мао combined at least these three items in his build, he performed significantly better countering Рената Гласк than with most other common item sets. In fact, Ког'Мао had an average winrate of 49.8% when countering Рената Гласк with this counter build.
To have the greatest likelihood of vanquishing Рената Гласк as Ког'Мао, you should equip the Смертельный темп, Триумф, Легенда: родословная, Последний рубеж, Накопление, and Разрастание runes from the Точность and Храбрость rune sets. Out of all the rune combinations players chose for Ког'Мао vs Рената Гласк counterpicks, this set of runes yielded the best win rate. In fact, these runes gave a 49.8% win rate overall.
If you want to get Ког'Мао x Рената Гласк tips and counter builds for a a distinct rank, feel free to select one from the selection menu above. If viewing for the first time, the statistics and build suggestions displayed are calculated using all games with data with these champions.