Intenta colocar Andanada de cañón en la ruta de escape para cazar a los enemigos en fuga.
Parrrlamento aplica efectos de impacto como Mazo helado o La cuchilla negra.
Si prestas atención en el mapa a los enemigos con poca vida, puedes matarlos por sorpresa con Andanada de cañón.
The stats shown here emphasize some strategic Gangplank versus Samira matchup stats that may help us appreciate the distinctions between the two. As an example, Gangplank’s KDA ratio ([kills + assists] / deaths) of NaN is greater than Samira’s ratio of NaN, showing that Gangplank may be more central to his team's team fighting effectiveness than Samira..
Gangplank usually has a slightly smaller longest killing spree than his opponent does. Typically, he receives a similar amount of damage to Samira. This typically indicates different amounts of tankyness, yet it can also indicate that the champ with higher health has less agility and thus is unable to escape additional harm when poked or engaged.
Both League of Legends champs are great champions. Both have their pros and cons. In the game's current meta, Gangplank usually fairs equally well when taking on Samira, with a 49.6% win rate. Thus, Gangplank makes an ok counter to Samira.
While Gangplank does have a lower winrate than Samira, when facing one another, Gangplank also has a much greater difficulty level that makes him a more difficult champ to develop with. You still need to be cautious when picking Gangplank into Samiraas his relative depth means that you may not be able to reach his full potential without a significant amount of practice beforehand.
Moreover, Gangplank has almost no amount of CC and other utility, a similar amount to Samira. This makes her just as valuable during teamfights, especially when trying to counter champions with a lot of burst damage.
While there isn't a single best champion in League of Legends, in Gangplank vs Samira matchups, Samira is the better champion with a similar win rate, more champion depth, and a similar amount of utility to help out your allied champions during teamfights.
Gangplank is a somewhat poor counter to Samira. Make sure you focus your tactics on maximizing your gold and cs and clearing objectives. If you can do that, you should be able to stand on your own as Gangplank against Samira.
If you would like to learn all of the intricacies of Gangplank to counter Samira during both the lane and mid / late game phases of League of Legends, you should keep reading to pick up a few extra tricks and insights into this matchup. If you mind the build and tips shown above, you will grow your win rate by a lot and be closer to League of Legends pro players.
Gangplank most often accumulates a similar amount of CS relative to Samira. Champions who on average don't earn much CS often 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, champs with a lot of CS, such as hyper-carries, usually need many items to be effective. In either case, try to do better than the numbers reported on this page to do well.
The top items to have in your Gangplank versus Samira build include Sanguinaria, Filoveloz de Navori, and Recaudadora. When Gangplank bought at least these three pieces in his build, he performed significantly better vs Samira than with many other common item sets. In fact, Gangplank boasted an average win rate of 49.6% when countering Samira with these items in his kit.
To have the best chance of coming out on top against Samira as Gangplank, you should equip the Primer golpe, Calzado mágico, Entrega de galletas, Perspicacia cósmica, Revestimiento de huesos, and Sobrecrecimiento runes from the Inspiración and Valor rune sets. Out of all the rune combinations players chose for Gangplank vs Samira counters, this order of runes yielded the best win rate. Moreover, these runes provided a 49.6% winrate overall.
If you would like to get Gangplank x Samira tips and counter builds for a a distinct division rank, please select one from the selection menu displayed above. At first, the statistics and build suggestions shown are computed using all games with data with both champions.