La habilidad pasiva de Brand le permite brillar contra los equipos que van muy juntos. Separaos al enfrentaros a él.
Brand deberá impactar con una habilidad antes de poder iniciar una combinación. Para cortarle el ritmo bastará con esquivar Abrasar o Pilar de llamas.
Intenta alejarte de tus aliados cuando veas que está preparando Detonación ígnea. La velocidad inicial del misil es lenta, lo cual debería darle tiempo a tu equipo para reaccionar.
The stats provided here clarify some critical Samira vs. Brand counter stats that can help us realize the differences and similarities between these two champs. For instance, Samira’s KDA ratio ([kills + assists] / deaths) of NaN is more than Brand’s ratio of NaN, demonstrating that Samira may be more central to her team's team fighting effectiveness than Brand. This observation is in large part fueled by the difference in kills.
Samira often has a much larger longest killing spree than her foe does. Commonly, she receives a similar amount of damage to Brand. This often reflects differing health capacities, but it can also show that the one champ has less mobility and thus is unable to flee from further damage when poked or engaged.
Both LoL champions are great champions. Both champs have their pros and cons. In League's current meta, Samira usually loses when trying to fight Brand, with a 47.4% win rate. As a result, Samira makes a bad counter for Brand.
While Samira does have a lower win rate than Brand, when they face off with one another, Samira also has a greater learning curve that makes her a more challenging champion to pick up and master. You should expect to face a difficult match when picking Samira into Brand.
Additionally, Samira also has only a small amount of utility and CC, a similar amount to Brand. This often makes her just as valuable during teamfights, especially when facing champions with a ton of burst damage.
While there isn't one best champion in League of Legends, in Samira vs Brand matchups, Brand is the better champion with a lower win rate, more champion depth, and a similar amount of utility to help out your allies during team fights.
Samira is a bad counter for Brand. Make sure you focus your play on keeping up your gold income and clearing objectives. If you can do that, you should do very well as Samira against Brand.
To learn all of the intricacies of Samira to counter Brand during both the early game and mid / late game phases of League of Legends, you should continue reading to gather a few extra tricks and insights into this matchup. If you pay attention to the build and stats presented here, you should grow your win rate significantly and be closer to League of Legends pro players.
Samira often accumulates more CS relative to Brand. Champs who on average don't acquire much CS usualy don't need much CS to be effective, such as supports. 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, typically have to have several high cost items to be effective. In either case, try to surpass the values reported here to do well.
The ideal items to prioritize in your Samira versus Brand build consist of Ángel de la guarda, Filo infinito, and Sanguinaria. When Samira incorporated at least these three items in her build, she performed a lot better vs Brand than with most other typical item sets. In fact, Samira boasted an average win rate of 47.4% when countering Brand with these items in her kit.
To have the highest likelihood of defeating Brand as Samira, you should equip the Conquistador, Triunfo, Leyenda: Linaje, Último esfuerzo, Colección de globos oculares, and Cazador de tesoros runes from the Precisión and Dominación rune sets. Of all the runes we have analyed for Samira vs Brand clashes, this mix of runes resulted in the best win rate. Notably, these runes averaged a 47.4% winrate overall.
If you need to get Samira vs Brand tips and matchup stats and build suggestions for a a specific skill level, please select one from the selection menu provided above. At first, the statistics and strategies given are computed using all matches with data with both champions.