Tirez Filet de calibre 90 loin de l'adversaire pour combler l'écart ou passer par-dessus des murs.
Évitez d'utiliser Tir chirurgical dans les grandes mêlées en équipe car il risque d'être bloqué par la mauvaise cible.
Utilisez les Piège-yordle en les déployant préventivement et en vous assurant d'en avoir un disponible pendant les combats.
The stat comparisons shown here underscore several strategic Caitlyn versus Viego counter stats that may help you explain the differences between this pair of champs. For instance, Caitlyn’s KDA ratio ([kills + assists] / deaths) of NaN is more than Viego’s ratio of NaN, showing that Caitlyn may be more central to her team's team fighting capacity than Viego..
Caitlyn normally has a similar longest killing spree as her counter does. On average, she receives less damage than Viego. This commonly reflects different amounts of tankyness; however, it can also imply that the champ with more health has less mobility and thus is not able to kite away from further damage when engaged or poked.
Both League of Legends champs are great. Both have their strengths, weaknesses, and counters. In League's current meta, Caitlyn usually fairs equally well when playing against Viego, with a 49.3% win rate. Therefore, Caitlyn makes an ok counter to Viego.
While Caitlyn does have a lower win rate compared to Viego, when on opposite teams, Caitlyn also has a greater difficulty level that makes her a more challenging champion to pick up and master. You should be careful when picking Caitlyn into Viego.
Moreover, Caitlyn also has only a small amount of utility and CC, a similar amount to Viego. This often makes her just as valuable during team fights, especially when fighting champions with a lot of burst damage.
While there is not one best champion in League of Legends, in Caitlyn vs Viego matchups, Viego 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 late stage team fights.
Caitlyn is a somewhat poor counter to Viego. You will do well by focussing your strategy on maximizing your CS and destroying objectives. If you do that, you should do very well as Caitlyn against Viego.
To learn all of the intricacies of Caitlyn to counter Viego during both the early game and mid / late game phases of League of Legends, you should keep reading to learn a few extra tricks and insights into this matchup. If you listen to the build and stats displayed above, you will grow your win rate significantly and be that much closer to League of Legends pro players.
Caitlyn on average racks up much more CS relative to Viego. Champions who on average don't get much CS usualy don't need much CS to be valuable teammates, such as sup champs. These kinds of champions are able to scale properly 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 case, try to surpass the numbers reported on this page to do well.
The top items to have in your Caitlyn versus Viego build include Salutations de Dominik, Canon ultrarapide, and Lame spectre de Youmuu. When Caitlyn combined at least these three items in her build, she performed a lot better when facing Viego than with many other common item sets. In fact, Caitlyn boasted an average win rate of 49.3% when countering Viego with these items in her kit.
To have the greatest likelihood of crushing Viego as Caitlyn, you should take the Jeu de jambes, Présence d'esprit, Légende : sangsue, Abattage, Concentration absolue, and Tempête menaçante runes from the Précision and Sorcellerie rune sets. Out of all the rune builds players used for Caitlyn vs Viego counterpicks, this mixture of runes yielded the greatest win rate. Notably, these runes provided a 49.3% win rate overall.
If you need to view Caitlyn versus Viego tips and builds for a an individual skill level, feel free to choose one from the selection menu displayed above. If viewing for the first time, the statistics and guides displayed are calculated using every match finished with these champions.