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 clarify some important Volibear vs. Kog'Maw counter statistics that may help us realize the differences between this set of champions. As an example, Volibear’s KDA ratio ([kills + assists] / deaths) of NaN is greater than Kog'Maw’s ratio of NaN, highlighting that Volibear may be more central to his team's team fighting capacity than Kog'Maw..
Volibear usually has a slightly smaller longest killing spree than his opponent does. On average, he takes more damage than Kog'Maw. This often reflects differing health capacities, but it can also hint that the champ with increased health has less mobility and thus is unable to escape further damage when engaged or poked.
Both League champions are great champions. Both have their pros and cons. In League's current meta, Volibear usually fairs equally well when trying to fight Kog'Maw, with a 50.8% win rate. As a result, Volibear makes an ok counter to Kog'Maw.
While Volibear does have a higher win rate compared to Kog'Maw, when they face off with one another, Volibear also has a lower learning curve that makes him a less challenging champion to pick up and master. You still need to be cautious when picking Volibear into Kog'Maw.
Furthermore, Volibear also has some amount of CC and other utility, a similar amount to Kog'Maw. This makes her just as valuable during teamfights, especially when fighting champions with a ton of burst damage.
While there isn't one best champion in League of Legends, in Volibear vs Kog'Maw matchups, Volibear is the better champion with a similar win rate, less champion complexity, and a similar amount of utility to help out your allies during teamfights.
Volibear is a decent counter for Kog'Maw. Focus your actions on keeping up your CS and destroying objectives. If you do that, you should do very well as Volibear against Kog'Maw.
To learn all of the intricacies of Volibear in order to counter Kog'Maw during both the laning 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 suggestions displayed here, you will increase your win rate by a lot and be closer to League of Legends pro players.
Volibear typically accumulates a similar amount of CS as Kog'Maw. Champs who typically don't acquire much CS usualy don't require much CS to be valuable teammates, such as support champions. They are capable of scaling properly off of their skills, stats, and first items alone. Yet, champions with large amounts of CS, such as hyper-carries, often require several high cost items to be effective. In either case, try to surpass the values displayed on this page to do well.
The ideal items to focus on in your Volibear versus Kog'Maw build include Diente de Nashor, Rompecascos, and Creagrietas. When Volibear incorporated at least these three pieces in his build, he did much better countering Kog'Maw than with most other typical item sets. In fact, Volibear had an average win rate of 50.8% when countering Kog'Maw with this build.
To have the highest probability of defeating Kog'Maw as Volibear, Volibear players should take the Compás letal, Triunfo, Leyenda: Presteza, Último esfuerzo, Demoler, and Revitalizar runes from the Precisión and Valor rune sets. Of all the rune sets players chose for Volibear vs Kog'Maw battles, this blending of runes resulted in the greatest win rate. Moreover, these runes provided a 50.8% win rate overall.
If you want to see Volibear vs Kog'Maw tips and matchup stats and build suggestions for a a distinct division rank, feel free to choose one from the selection menu displayed above. If viewing for the first time, the stats and build suggestions displayed are computed using every game with data with both champs.