Recuerda que los enemigos cercanos pueden ver en qué muro te encuentras.
Fíjate en la composición de tu equipo y del equipo enemigo a la hora de escoger tu forma.
El alcance de Artillería viviente aumenta cada nivel.
¡Huye de Kog'Maw cuando muera!
Kog'Maw no tiene buenas habilidades de huida, por lo que es propenso a sufrir emboscadas.
Andanada bioarcana permite a Kog'Maw matar al Barón Nashor muy pronto. Puede resultar muy valioso poner un guardián cerca de Nashor cuando Kog'Maw complete su Hoja del rey arruinado.
The stat comparisons shown here highlight some strategic Kayn against Kog'Maw matchup statistics that can help us explain the differences and similarities between this set of champs. As an example, Kayn’s KDA ratio ([kills + assists] / deaths) of NaN is better than Kog'Maw’s ratio of NaN, highlighting that Kayn may be more central to his team's team fighting capability than Kog'Maw..
Kayn often has a similar longest kill spree as his matchup does. Commonly, he takes more damage than Kog'Maw. This typically indicates different amounts of tankyness, yet it can also indicate that the one champ has less mobility and thus is unable to escape further harm when poked or engaged.
Both LoL champs are great champions. Both have their pros and cons. In League's current meta, Kayn usually fairs equally well when playing against Kog'Maw, with a 50.7% win rate. Thus, Kayn makes an ok counter for Kog'Maw.
While Kayn does have a higher winrate compared to Kog'Maw, when facing one another, Kayn also has a greater difficulty level that makes him a more challenging champ to learn. You should be careful when picking Kayn into Kog'Mawas his relative depth means you may not be able to unleash his full potential without a significant amount of practice beforehand.
Furthermore, Kayn has almost no amount of utility and CC, a similar amount to Kog'Maw. This often makes her just as valuable during team fights, especially when facing champions with a ton of burst damage.
While there is not a single best champion overall in League of Legends, in Kayn vs Kog'Maw matchups, Kayn is the better champion with a similar win rate, more champion depth, and a similar amount of utility to help out your teammates during late stage team fights.
Kayn is a decent counter to Kog'Maw. Focus your play on maximizing your gold income and destroying objectives. If you can do that, you should hold your own as Kayn against Kog'Maw.
To truly master Kayn in order to counter Kog'Maw during both the early game and mid / late game phases of League of Legends, you should continue reading to pick up a few extra tricks and insights into this matchup. If you listen to the build and tips displayed above, you will grow your win rate by a lot and be that much closer to League of Legends pro players.
Kayn on average racks up a lot less CS compared to Kog'Maw. Champs who typically don't take much CS often don't have to have much CS to be effective, such as supports. They are capable of scaling well off of their abilities and first items alone. Yet, champs with large amounts of CS, such as hyper-carries, typically require many items to be effective. In either case, try to do better than the values displayed here to do well.
The most important items to have in your Kayn versus Kog'Maw build include Rencor de Serylda, Hidra profana, and Oportunidades. When Kayn bought at least these three pieces in his build, he performed significantly better when fighting Kog'Maw than with many other common item sets. In fact, Kayn had an average win rate of 50.7% when countering Kog'Maw with this build.
To have the highest chance of beating Kog'Maw as Kayn, you should use the Invocar a Aery, Capa del nimbo, Trascendencia, Se avecina tormenta, Impacto repentino, and Cazador de tesoros runes from the Brujería and Dominación rune sets. Out of all the rune builds players chose for Kayn vs Kog'Maw fights, this combination of runes yielded the highest win rate. Notably, these runes averaged a 50.7% winrate overall.
If you would like to see Kayn vs Kog'Maw tips and matchup stats and build suggestions for a a specific division, please select one from the selection menu above. At first, the statistics and build suggestions displayed are calculated using every round finished with both champs.