Profitez au maximum de Surprise d'Icathia.
Utilisez Limon du Néant pour préparer une Artillerie vivante parfaite.
Kog'Maw dispose d'une meilleure portée que la plupart des autres champions, grâce à Barrage bio-arcanique.
Restez derrière les sbires alliés si Caitlyn vous harcèle avec Pacificateur de Piltover (les dégâts diminuent pour chaque cible subséquente).
Vous pouvez intercepter le projectile de Tir chirurgical qui va frapper un allié en vous plaçant sur la trajectoire.
The stat comparisons provided here emphasize some valuable Kog'Maw against Caitlyn counter statistics that can help us figure out the distinctions between this set of champs. Kog'Maw’s KDA ratio ([kills + assists] / deaths) of NaN is better than Caitlyn’s KDA ratio of NaN, indicating that Kog'Maw may be more central to his team's team fighting effectiveness than Caitlyn..
Kog'Maw usually has a similar longest killing spree as his foe does. Typically, he receives a similar amount of damage to Caitlyn. This commonly reflects differing health capacities, yet it can also imply that the champ with more health has less agility and thus is not able to flee from further harm when poked or engaged.
Both League champs are great. Both have their pros and cons. In League's current meta, Kog'Maw usually loses when facing off against Caitlyn, with a 48.9% win rate. As a result, Kog'Maw makes a poor counter for Caitlyn.
While Kog'Maw does have a lower win rate compared to Caitlyn, when they face off with one another, Kog'Maw also has a greater learning curve that makes him a more time consuming character to develop with. You should be careful when picking Kog'Maw into Caitlyn.
Furthermore, Kog'Maw also has almost no amount of utility and CC, a similar amount to Caitlyn. This often makes her just as valuable during teamfights, especially when trying to counter champions with a ton of burst damage.
While there is not a single best champion for every situation in League of Legends, in Kog'Maw vs Caitlyn matchups, Caitlyn is the better champion with a lower win rate, similar champion depth, and a similar amount of utility to help out your team members during teamfights.
Kog'Maw is a somewhat poor counter to Caitlyn. Focus your strategy on keeping up your gold income and destroying objectives. If you do that, you should do very well as Kog'Maw against Caitlyn.
If you would like to learn all of the intricacies of Kog'Maw to counter Caitlyn during both the lane 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 shown here, you will grow your win rate by a lot and be that much closer to League of Legends pro players.
Kog'Maw usually gets a similar amount of CS as Caitlyn. Champs who on average don't acquire much CS usualy don't have to have much CS to be valuable teammates, such as supports. They are capable of scaling properly off of their abilities and first items alone. Yet, champions with large amounts of CS, such as hyper-carries, usually have to have several high cost items to be effective. In either situation, try to do better than the numbers displayed here to do well.
The most important items to prioritize in your Kog'Maw versus Caitlyn build consist of Ouragan de Runaan, Au bout du rouleau, and Lame du roi déchu. When Kog'Maw incorporated at least these three pieces in his build, he did significantly better vs. Caitlyn than with many other typical counter builds. In fact, Kog'Maw had an average winrate of 48.9% when countering Caitlyn with this counter build.
To have the best likelihood of annihilating Caitlyn as Kog'Maw, you should equip the Tempo mortel, Triomphe, Légende : sangsue, Baroud d'honneur, Conditionnement, and Surcroissance runes from the Précision and Volonté rune sets. Out of all the rune sets that we analyzed for Kog'Maw vs Caitlyn matchups, this combination of runes yielded the highest win rate. Notably, these runes gave a 48.9% winrate overall.
If you want to get Kog'Maw versus Caitlyn tips and builds for a a particular player tier, please choose one from the selection menu shown above. If viewing for the first time, the statistics and build suggestions shown are calculated using every round played with both champs.