Usar Disparo veloz para tener al enemigo a tu alcance y disparar a quemarropa puede infligir mucho daño.
Pantalla de humo se puede usar para escapar o para preparar un asesinato.
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 shown here highlight some critical Graves vs. Gangplank matchup statistics that may help you explain the differences between this set of champs. For instance, Graves’s KDA ratio ([kills + assists] / deaths) of NaN is greater than Gangplank’s ratio of NaN, indicating that Graves may be more central to his team's team fighting effectiveness than Gangplank..
Graves usually has a similar longest killing spree as his foe does. On average, he takes more damage than Gangplank. This typically indicates different amounts of tankyness; however, it can also show that the one champion has less mobility and thus is unable to flee from additional damage when poked or engaged.
Both League of Legends champions are great. Both champs have their pros and cons. In the game's current meta, Graves usually wins when taking on Gangplank, with a 51.3% win rate. Therefore, Graves makes a good counter for Gangplank.
While Graves does have a higher win rate compared to Gangplank, when facing one another, Graves also has a much lower level of difficulty that makes him a less complex character to develop with. You still need to be cautious when picking Graves into Gangplank.
Moreover, Graves has almost no amount of CC and other utility, a similar amount to Gangplank. This makes her just as valuable during teamfights, 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 Graves vs Gangplank matchups, Graves is the better champion with a higher win rate, less champion complexity, and a similar amount of utility to help out your allied champions during late stage team fights.
Graves is a decent counter for Gangplank. You will do well by focussing your tactics on maximizing your CS and clearing objectives. If you can do that, you should hold your own as Graves against Gangplank.
If you would like to learn all of the intricacies of Graves 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 listen to the build and tips presented here, you should grow your win rate by a lot and be closer to League of Legends pro players.
Graves typically picks up less CS relative to Gangplank. Champs who on average don't get many minion kills typically don't require much CS to be valuable teammates, such as supports. They are capable of scaling properly off of their abilities and first items alone. Yet, champs with a lot of CS, such as hyper-carries, typically require a lot of items to be effective. In either case, try to surpass the values shown here to do well.
The best items to use in your Graves versus Gangplank build include Eclipse, Fauces de Malmortius, and Recaudadora. When Graves combined at least these three items in his build, he did much better vs Gangplank than with most other common item sets. In fact, Graves had an average win rate of 51.3% when countering Gangplank with this build.
To have the greatest chance of crushing Gangplank as Graves, Graves players should equip the Pies veloces, Triunfo, Leyenda: Presteza, Último esfuerzo, Guardián zombi, and Cazador de tesoros runes from the Precisión and Dominación rune sets. Out of all the rune builds players chose for Graves vs Gangplank fights, this composite of runes resulted in the highest win rate. Moreover, these runes gave a 51.3% win rate overall.
If you want to see Graves versus Gangplank tips and counter stats for a a distinct division, feel free to select one from the selection menu shown above. By default, the statistics and guides given are computed using all matches with data with both champions.