La portée d'Artillerie vivante augmente à chaque niveau.
Filez loin de Kog'Maw quand il a été tué !
Kog'Maw n'a aucun moyen de s'enfuir facilement, ce qui le rend particulièrement fragile face à des attaques concertées.
Barrage bio-arcanique permet à Kog'Maw d'éliminer le baron Nashor très rapidement. Il peut être intéressant de placer une balise à côté de Nashor quand Kog'Maw se procure Lame du roi déchu.
The stats shown on this page underscore some significant Viego vs. Kog'Maw counter stats that may help us understand the distinctions between the two. Viego’s KDA ratio ([kills + assists] / deaths) of NaN is better than Kog'Maw’s ratio of NaN, highlighting that Viego may be more central to their team's team fighting capability than Kog'Maw..
Viego usually has a similar longest kill spree as their enemy does. On average, they receives more damage than Kog'Maw. This is usually reflective of differing health capacities, yet it can also imply that the one champion has less mobility and thus is unable to flee from further harm when engaged or poked.
Both LoL champions are great champions. Both have their strengths, weaknesses, and counters. In League's current meta, Viego usually wins when playing against Kog'Maw, with a 53.2% win rate. Therefore, Viego makes a great counter to Kog'Maw.
While Viego does have a higher winrate than Kog'Maw, when they face off with one another, Viego also has a lower difficulty level that makes them a less challenging character to pick up and master. You don't need to be too worried when picking Viego into Kog'Maw.
Additionally, Viego has some amount of CC and other utility, 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 one best champion for every situation in League of Legends, in Viego vs Kog'Maw matchups, Viego is the better champ with a noticably higher win rate, less champion complexity, and a similar amount of utility to help out your allied champions during team fights.
Viego is a great counter for Kog'Maw. Focus your tactics on maximizing your gold and cs and destroying objectives. If you do that, you should be able to stand on your own as Viego against Kog'Maw.
To truly master Viego in order to counter Kog'Maw during both the early game and mid / late game phases of League of Legends, you should keep reading to gather a few extra lessons on this matchup. If you pay attention to the build and tips shown here, you will increase your win rate significantly and be closer to League of Legends pro players.
Viego typically racks up a lot less CS relative to Kog'Maw. Champs who typically don't acquire much CS typically don't require much CS to be effective, such as supports. They are capable of scaling well off of their skills, stats, and first items alone. Yet, champs with a lot of CS, such as hyper-carries, typically have to have a lot of items to be effective. In either situation, try to do better than the values shown here to do well.
The best items to prioritize in your Viego versus Kog'Maw build include Force de la trinité, Lame du roi déchu, and Tueur de krakens. When Viego incorporated at least these three items in their build, they performed significantly better versus Kog'Maw than with most other common counter builds. In fact, Viego boasted an average winrate of 53.2% battling Kog'Maw with this counter build.
To have the best probability of annihilating Kog'Maw as Viego, you should equip the Conquérant, Triomphe, Légende : alacrité, Coup de grâce, Savoir cosmique, and Chaussures magiques runes from the Précision and Inspiration rune sets. Out of all the runes players used for Viego vs Kog'Maw fights, this order of runes yielded the highest win rate. Moreover, these runes provided a 53.2% win rate overall.
If you would like to get Viego x Kog'Maw tips and counter builds for a a particular division, feel free to select one from the selection menu displayed above. If viewing for the first time, the statistics and build suggestions given are computed using all games with data with these champs.