Decoy and Nimbus Strike work well together to quickly strike your enemy and get out before they can retaliate.
Try using Decoy near brush to make an enemy overreact to your movement.
The range on Living Artillery increases each rank.
Run away from Kog'Maw after he dies!!!!
Kog'Maw doesn't have a good escape ability, so he is especially prone to ganks.
Bio-Arcane Barrage allows Kog'Maw to kill Baron Nashor extremely early. It can be valuable to ward Nashor when Kog'Maw completes his Blade of the Ruined King.
The stat comparisons shown here clarify some critical Wukong vs. Kog'Maw matchup statistics that may help us explain the differences between these two champs. For instance, Wukong’s KDA ratio ([kills + assists] / deaths) of NaN is more than Kog'Maw’s KDA ratio of NaN, demonstrating that Wukong may be more central to his team's team fighting capability than Kog'Maw..
Wukong typically has a slightly smaller longest kill spree than his enemy does. On average, he takes more damage than Kog'Maw. This often reflects differing health capacities; however, it can also show that the champion with more HP has less agility and thus is unable to flee from additional damage when poked or engaged.
Both LoL champions are great. Both champs have their strengths, weaknesses, and counters. In League's current meta, Wukong usually wins when taking on Kog'Maw, with a 51.5% win rate. Therefore, Wukong makes a good counter for Kog'Maw.
While Wukong does have a higher win rate than Kog'Maw, when facing one another, Wukong also has a lower level of difficulty that makes him a less time consuming character to learn. You should be careful when picking Wukong into Kog'Maw.
Additionally, Wukong has a good amount of CC and other utility, a similar amount to Kog'Maw. This often makes her just as valuable during team fights, especially when fighting champions with a ton of burst damage.
While there is not one best champion overall in League of Legends, in Wukong vs Kog'Maw matchups, Wukong is the better champion with a higher win rate, less champion complexity, and a similar amount of utility to help out your allies during team fights.
Wukong is a decent counter to Kog'Maw. Focus your play on keeping up your gold and cs and clearing objectives. If you are able to do that, you should do very well as Wukong against Kog'Maw.
To learn all of the intricacies of Wukong 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 gather a few extra tips and tricks for this matchup. If you mind the build and tips presented here, you should grow your win rate significantly and be closer to League of Legends pro players.
Wukong typically accumulates less CS relative to Kog'Maw. Champs who typically don't get many minion kills typically don't have to have much CS to be effective, such as sup champs. They are able to scale properly off of their abilities and first items alone. Yet, champions with large amounts of CS, such as hyper-carries, usually require several high cost items to be effective. In either case, try to do better than the values reported on this page to do well.
The top items to use in your Wukong versus Kog'Maw build include Trinity Force, Spear of Shojin, and Sundered Sky. When Wukong included at least these three items in his build, he did much better vs Kog'Maw than with many other typical builds. In fact, Wukong boasted an average win rate of 51.5% when playing against Kog'Maw with this build.
To have the greatest probability of vanquishing Kog'Maw as Wukong, Wukong players should take the Conqueror, Triumph, Legend: Alacrity, Last Stand, Magical Footwear, and Cosmic Insight runes from the Precision and Inspiration rune sets. Of all the runes players used for Wukong vs Kog'Maw counter picks, this mix of runes resulted in the highest win rate. Moreover, these runes provided a 51.5% winrate overall.
If you want to view Wukong vs Kog'Maw tips and counter stats for a an individual division rank, please choose one from the selection menu shown above. At first, the statistics and strategies shown are computed using all games with data with these champions.