Placez-vous près des murs et attirez vos ennemis pour les étourdir avec votre ultime.
Connaissez vos forces ! Mini Gnar est rapide, fragile et il inflige de gros dégâts soutenus. Méga Gnar est lent, résistant et il a un gros burst.
La gestion de votre Rage est très importante. Effectuez vos transformations aux bons moments pour profiter au maximum de vos deux formes.
The stat comparisons shown on this page highlight several strategic Gnar vs. Naafiri counter statistics that may help us realize the distinctions between the pair. Gnar’s KDA ratio ([kills + assists] / deaths) of NaN is better than Naafiri’s ratio of NaN, highlighting that Gnar may be more central to his team's team fighting potential than Naafiri..
Gnar usually has a slightly smaller longest kill spree than his foe does. Typically, he takes more damage than Naafiri. This is usually reflective of different amounts of tankyness, but it can also indicate that the one champ has less agility and thus is unable to flee from additional harm when engaged or poked.
Both League champs are great. Both have their pros and cons. In the game's current meta, Gnar usually loses when taking on Naafiri, with a 48.9% win rate. Therefore, Gnar makes a poor counter for Naafiri.
While Gnar does have a lower win rate than Naafiri, when facing one another, Gnar also has a much greater difficulty level that makes him a more complex champ to develop with. You still need to be cautious when picking Gnar into Naafirias his relative depth means you may not be able to unleash his full potential without a lot of practice beforehand.
Moreover, Gnar also has some amount of utility and CC, a similar amount to Naafiri. This often makes her just as valuable during teamfights, especially when facing champions with a lot of burst damage.
While there isn't a single best champion overall in League of Legends, in Gnar vs Naafiri matchups, Naafiri is the better champ with a lower win rate, more champion depth, and a similar amount of utility to help out your allies during late stage team fights.
Gnar is a somewhat poor counter for Naafiri. You will do well by focussing your strategy on increasing your CS and destroying objectives. If you do that, you should be able to stand on your own as Gnar against Naafiri.
To truly master Gnar in order to counter Naafiri during both the laning 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 pay attention to the build and suggestions presented here, you will increase your win rate significantly and be closer to League of Legends pro players.
Gnar most often racks up a similar amount of CS as Naafiri. Champions who typically don't earn much CS often don't require much CS to be valuable teammates, such as support champions. They are capable of scaling well off of their skills, stats, and first items alone. Yet, champs with large amounts of CS, such as hyper-carries, typically have to have a lot of items to be effective. In either situation, try to exceed the values displayed on this page to do well.
The ideal items to have in your Gnar versus Naafiri build include Gage de Sterak, Couperet noir, and Force de la trinité. When Gnar combined at least these three items in his build, he did a lot better against Naafiri than with many other commonly used builds. In fact, Gnar boasted an average win rate of 48.9% when countering Naafiri with this build.
To have the highest probability of crushing Naafiri as Gnar, Gnar players should take the Jeu de jambes, Triomphe, Légende : alacrité, Baroud d'honneur, Plaque d'os, and Surcroissance runes from the Précision and Volonté rune sets. Out of all the rune combinations that we analyzed for Gnar vs Naafiri counterpicks, this combo of runes resulted in the greatest win rate. In fact, these runes gave a 48.9% win rate overall.
If you would like to see Gnar vs Naafiri tips and counter builds for a a specific division, please choose one from the selection menu displayed above. If viewing for the first time, the statistics and guides shown are computed using all games with data with both champs.