Старайтесь как можно лучше использовать Привет из Икатии.
Слизь Бездны упрощает попадание Живой артиллерии.
Ког'Мао бьет дальше большинства чемпионов, когда использует Биомагический обстрел.
Щит Камиллы защищает ее только от одного типа урона, поэтому нападайте на нее, когда она уязвима к вашему урону.
У Хекстекового ультиматума очень маленькая дальность использования, поэтому используйте Скачок, чтобы вовремя убежать от Камиллы.
The stats provided here highlight some valuable Ког'Мао versus Камилла matchup stats that may help you explain the distinctions between the pair. Ког'Мао’s KDA ratio ([kills + assists] / deaths) of NaN is more than Камилла’s KDA ratio of NaN, showing that Ког'Мао may be more central to his team's team fighting capability than Камилла..
Ког'Мао often has a slightly larger longest killing spree than his matchup does. Typically, he takes less damage than Камилла. This typically indicates differing health capacities; however, it can also indicate that the one champion has less mobility and thus is not able to kite away from further harm when poked or engaged.
Both LoL champs are great champions. Both champs have their pros and cons. In League's current meta, Ког'Мао usually wins when playing against Камилла, with a 51.4% win rate. Therefore, Ког'Мао makes a good counter to Камилла.
While Ког'Мао does have a higher winrate compared to Камилла, when facing one another, Ког'Мао also has a greater difficulty level that makes him a more complex champ to pick up and master. You still need to be cautious when picking Ког'Мао into Камилла.
Additionally, Ког'Мао has only a small amount of utility and CC, a similar amount to Камилла. This makes her just as valuable during teamfights, especially when trying to counter champions with a lot of burst damage.
While there is not a single best champion in League of Legends, in Ког'Мао vs Камилла matchups, Ког'Мао is the better champ with a higher win rate, more champion depth, and a similar amount of utility to help out your allies during team fights.
Ког'Мао is a decent counter to Камилла. You will do well by focussing your actions on increasing your CS and taking out objectives. If you are able to do that, you should do very well as Ког'Мао against Камилла.
If you would like to learn all of the intricacies of Ког'Мао in order to counter Камилла during both the laning and mid / late game phases of League of Legends, you should continue reading to learn a few extra tips and tricks for this matchup. If you mind the build and stats displayed above, you should increase your win rate by a lot and be that much closer to League of Legends pro players.
Ког'Мао typically picks up a similar amount of CS relative to Камилла. Champs who on average don't acquire much CS typically don't require much CS to be valuable teammates, such as supports. 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, usually need several high cost items to be effective. In either situation, try to surpass the numbers displayed here to do well.
The best items to use in your Ког'Мао versus Камилла build consist of Клинок ярости Гинсу, Клинок Падшего короля, and Светотень. When Ког'Мао used at least these three pieces in his build, he performed significantly better countering Камилла than with many other common item sets. In fact, Ког'Мао boasted an average winrate of 51.4% when countering Камилла with this counter build.
To have the best likelihood of beating Камилла as Ког'Мао, Ког'Мао players should take the Смертельный темп, Триумф, Легенда: родословная, Последний рубеж, Накопление, and Разрастание runes from the Точность and Храбрость rune sets. Out of all the runes players used for Ког'Мао vs Камилла face-offs, this set of runes yielded the highest win rate. Moreover, these runes gave a 51.4% win rate overall.
If you would like to get Ког'Мао x Камилла tips and counter builds for a an individual skill level, feel free to choose one from the selection menu displayed above. By default, the stats and build suggestions shown are calculated using all rounds with data with these champs.