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 emphasize some strategic Caitlyn vs. Akshan matchup statistics that can help us interpret the differences between this pair of champions. For instance, Caitlyn’s KDA ratio ([kills + assists] / deaths) of NaN is more than Akshan’s KDA ratio of NaN, demonstrating that Caitlyn may be more central to her team's team fighting effectiveness than Akshan..
Caitlyn often has a slightly smaller longest kill spree than her enemy does. Typically, she receives a similar amount of damage to Akshan. This often reflects different amounts of tankyness, but it can also indicate that the champion with more HP has less agility and thus is not able to escape further harm when engaged or poked.
Both LoL champions are great champions. Both champs have their pros and cons. In the game's current meta, Caitlyn usually fairs equally well when facing off against Akshan, with a 49.9% win rate. As a result, Caitlyn makes an ok counter to Akshan.
While Caitlyn does have a lower winrate compared to Akshan, when they face off with one another, Caitlyn also has a much greater level of difficulty that makes her a more difficult champ to develop with. You still need to be cautious when picking Caitlyn into Akshan.
Moreover, Caitlyn also has almost no amount of CC and other utility, a similar amount to Akshan. This often makes her just as valuable during team fights, especially when facing champions with a ton of burst damage.
While there isn't a single best champion overall in League of Legends, in Caitlyn vs Akshan matchups, Akshan is the better champ with a similar win rate, more champion depth, and a similar amount of utility to help out your teammates during teamfights.
Caitlyn is a somewhat poor counter to Akshan. Focus your tactics on keeping up your CS and taking out objectives. If you are able to do that, you should hold your own as Caitlyn against Akshan.
If you would like to learn all of the intricacies of Caitlyn in order to counter Akshan 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 pay attention to the build and tips displayed above, you should grow your win rate significantly and be that much closer to League of Legends pro players.
Caitlyn often picks up a similar amount of CS relative to Akshan. Champs who on average don't get many minion kills often don't have to have much CS to be effective, such as supports. They are able to scale well off of their skills, stats, and first items alone. Yet, champions with a lot of CS, such as hyper-carries, usually require many items to be effective. In either situation, try to exceed the values reported on this page to do well.
The top items to have in your Caitlyn versus Akshan build include Salutations de Dominik, Canon ultrarapide, and Percepteur. When Caitlyn combined at least these three pieces in her build, she performed a lot better countering Akshan than with many other commonly used item sets. In fact, Caitlyn had an average winrate of 49.9% when playing against Akshan with these items in her kit.
To have the greatest probability of crushing Akshan as Caitlyn, Caitlyn players should use the Jeu de jambes, Présence d'esprit, Légende : sangsue, Coup de grâce, Concentration absolue, and Tempête menaçante runes from the Précision and Sorcellerie rune sets. Of all the rune combinations we have analyed for Caitlyn vs Akshan counter picks, this mixture of runes resulted in the highest win rate. Moreover, these runes averaged a 49.9% win rate overall.
If you would like to get Caitlyn x Akshan tips and matchup stats and build suggestions for a a particular skill level, feel free to select one from the selection menu shown above. By default, the statistics and strategies displayed are calculated using every round with data with these champs.