Parrrlamento inflige una gran cantidad de daño físico. Los objetos que proporcionan armadura pueden ayudar si Gangplank se convierte en un problema.
¡Cuando este campeón llega a nivel 6, cuidado con su definitiva de alcance global, Andanada de cañón!
The stat comparisons provided here underscore several strategic Nilah versus Gangplank matchup stats that may help you realize the differences between the pair. Nilah’s KDA ratio ([kills + assists] / deaths) of NaN is better than Gangplank’s ratio of NaN, highlighting that Nilah may be more central to their team's team fighting effectiveness than Gangplank..
Nilah usually has a slightly larger longest kill spree than their counter does. Typically, they takes a similar amount of damage to Gangplank. This is usually reflective of different amounts of tankyness; however, it can also indicate that the one champ has less mobility and thus is not able to flee from additional damage when engaged or poked.
Both League champs are great champions. Both champs have their pros and cons. In the game's current meta, Nilah usually fairs equally well when playing against Gangplank, with a 50.2% win rate. As a result, Nilah makes an ok counter for Gangplank.
While Nilah does have a higher winrate compared to Gangplank, when facing one another, Nilah also has a greater learning curve that makes them a more time consuming champion to learn and master. You should be careful when picking Nilah into Gangplankas their relative depth means that you may not be able to reach their full potential without a lot of practice beforehand.
Additionally, Nilah also has some amount of utility and CC, a similar amount to Gangplank. This makes her just as valuable during team fights, especially when trying to counter champions with a ton of burst damage.
While there isn't a single best champion for every situation in League of Legends, in Nilah vs Gangplank matchups, Nilah is the better champ with a similar win rate, more champion depth, and a similar amount of utility to help out your team members during teamfights.
Nilah is a decent counter for Gangplank. Make sure you focus your actions on keeping up your gold and cs and clearing objectives. If you do that, you should hold your own as Nilah against Gangplank.
If you would like to truly master Nilah to counter Gangplank during both the laning and mid / late game phases of League of Legends, you should keep reading to pick up a few extra lessons on this matchup. If you mind the build and stats presented above, you will increase your win rate by a lot and be closer to League of Legends pro players.
Nilah often gets a similar amount of CS compared to Gangplank. Champions who on average don't acquire many minion kills usualy don't require much CS to be valuable teammates, such as support champions. These kinds of champions are able to scale well off of their skills, stats, and first items alone. Yet, champions with a lot of CS, such as hyper-carries, often have to have a lot of items to be effective. In either situation, try to exceed the values shown on this page to do well.
The best items to prioritize in your Nilah versus Gangplank build include Recuerdos de lord Dominik, Arcoescudo inmortal, and Recaudadora. When Nilah included at least these three items in their build, they performed significantly better versus Gangplank than with most other commonly used item sets. In fact, Nilah had an average winrate of 50.2% battling Gangplank with this counter build.
To have the best probability of beating Gangplank as Nilah, you should equip the Conquistador, Triunfo, Leyenda: Linaje, Último esfuerzo, Impacto repentino, and Cazador de tesoros runes from the Precisión and Dominación rune sets. Out of all the rune builds players chose for Nilah vs Gangplank fights, this composite of runes resulted in the highest win rate. Notably, these runes gave a 50.2% win rate overall.
If you want to get Nilah x Gangplank tips and counter builds for a a distinct division, feel free to choose one from the selection menu above. By default, the statistics and build suggestions given are calculated using every match with data with these champs.