Lanza la Red de calibre 90 en dirección contraria a la de tu oponente para recortar distancias o saltar paredes.
Evita utilizar As en la manga en combates cuerpo a cuerpo de equipos numerosos, ya que podría impactar en el objetivo equivocado.
Utiliza las Trampas para yordles de modo que tengas siempre una disponible durante el combate.
The stat comparisons shown on this page show some critical Caitlyn versus Volibear matchup stats that may help you explain the differences between the pair. Caitlyn’s KDA ratio ([kills + assists] / deaths) of NaN is more than Volibear’s ratio of NaN, indicating that Caitlyn may be more central to her team's team fighting potential than Volibear..
Caitlyn typically has a similar longest kill spree as her foe does. Commonly, she takes less damage than Volibear. This typically indicates different amounts of tankyness, but it can also illustrate that the one champion has less mobility and thus is unable to escape further damage when engaged or poked.
Both LoL champions are great champions. Both have their strengths, weaknesses, and counters. In League's current meta, Caitlyn usually fairs equally well when facing off against Volibear, with a 50.5% win rate. Therefore, Caitlyn makes an ok counter to Volibear.
While Caitlyn does have a higher win rate than Volibear, when they face off with one another, Caitlyn also has a much greater learning curve that makes her a more challenging character to pick up and master. You should be careful when picking Caitlyn into Volibear.
Moreover, Caitlyn has almost no amount of CC and other utility, a similar amount to Volibear. This often makes her just as valuable during teamfights, especially when trying to counter champions with a lot of burst damage.
While there isn't one best champion in League of Legends, in Caitlyn vs Volibear matchups, Caitlyn is the better champ with a similar win rate, more champion depth, and a similar amount of utility to help out your allies during team fights.
Caitlyn is a decent counter to Volibear. You will do well by focussing your actions on maximizing your CS and clearing objectives. If you are able to do that, you should hold your own as Caitlyn against Volibear.
If you would like to truly master Caitlyn in order to counter Volibear during both the lane and mid / late game phases of League of Legends, you should continue reading to gather a few extra tips and tricks for this matchup. If you pay attention to the build and suggestions shown here, you should grow your win rate significantly and be that much closer to League of Legends pro players.
Caitlyn on average gets a similar amount of CS relative to Volibear. Champs who typically don't get many minion kills typically don't need much CS to be effective, such as supports. They are able to scale well off of their abilities and first items alone. Yet, champs 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 surpass the numbers displayed on this page to do well.
The top items to have in your Caitlyn versus Volibear build include Recuerdos de lord Dominik, Sanguinaria, and Recaudadora. When Caitlyn combined at least these three pieces in her build, she performed much better versus Volibear than with many other common item sets. In fact, Caitlyn had an average win rate of 50.5% battling Volibear with these items in her kit.
To have the best likelihood of coming out on top against Volibear as Caitlyn, you should equip the Primer golpe, Calzado mágico, Entrega de galletas, Perspicacia cósmica, Concentración absoluta, and Se avecina tormenta runes from the Inspiración and Brujería rune sets. Out of all the rune combinations players used for Caitlyn vs Volibear counter picks, this order of runes resulted in the best win rate. In fact, these runes provided a 50.5% winrate overall.
If you would like to see Caitlyn x Volibear tips and counter stats for a a distinct division rank, feel free to select one from the selection menu shown above. By default, the statistics and guides displayed are computed using all games with data with these champs.