Grâce à Plastronneur, Taric réduit les délais de récupération de ses sorts en lançant des attaques de base sur les ennemis. Essayez de le kiter pendant les combats d'équipes et de le punir quand il approche d'une vague de sbires.
L'ultime de Taric, Lumière cosmique, a un long délai avant son application. Estimez vite s'il est préférable de désengager le combat ou de tuer les alliés de Taric avant l'application de ce sort.
The stat comparisons shown here clarify some vital Samira against Taric counter stats that may help us explain the distinctions between this pair of champs. As an example, Samira’s KDA ratio ([kills + assists] / deaths) of NaN is more than Taric’s KDA ratio of NaN, demonstrating that Samira may be more central to her team's team fighting capacity than Taric. This observation is largely a result of the difference in kills.
Samira usually has a much larger longest kill spree than her enemy does. Commonly, she receives a similar amount of damage to Taric. This often reflects differing health capacities; however, it can also illustrate that the one champ has less mobility and thus is unable to kite away from additional damage when engaged or poked.
Both LoL champs are great. Both champs have their pros and cons. In the game's current meta, Samira usually loses when taking on Taric, with a 44.7% win rate. Therefore, Samira makes a bad counter for Taric.
While Samira does have a much lower winrate than Taric, when they face off with one another, Samira also has a much greater learning curve that makes her a more complex character to pick up and master. You should be very concerned when picking Samira into Taric.
Additionally, Samira also has almost no amount of CC and other utility, a similar amount to Taric. This often makes her just as valuable during teamfights, especially when facing champions with a lot of burst damage.
While there is not a single best champion in League of Legends, in Samira vs Taric matchups, Taric is the better champ with a much lower win rate, more champion depth, and a similar amount of utility to help out your allies during late stage team fights.
Samira is a garbage counter for Taric. Make sure you focus your strategy on increasing your CS and destroying objectives. If you can do that, you should be able to stand on your own as Samira against Taric.
If you would like to truly master Samira in order to counter Taric during both the early game 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 suggestions presented above, you will grow your win rate significantly and be that much closer to League of Legends pro players.
Samira most often accumulates much more CS relative to Taric. Champs who on average don't earn much CS typically don't require much CS to be valuable teammates, such as sup champs. They are able to scale well off of their skills, stats, and first items alone. Yet, champions with large amounts of CS, such as hyper-carries, often have to have a lot of items to be effective. In either case, try to surpass the values shown on this page to do well.
The most crucial items to use in your Samira versus Taric build consist of Salutations de Dominik, Soif-de-sang, and Percepteur. When Samira included at least these three pieces in her build, she performed significantly better when facing Taric than with many other typical item sets. In fact, Samira had an average win rate of 44.7% when countering Taric with this counter build.
To have the best chance of vanquishing Taric as Samira, you should equip the Conquérant, Triomphe, Légende : sangsue, Baroud d'honneur, Ruée offensive, and Chasseur de trésors runes from the Précision and Domination rune sets. Of all the runes players used for Samira vs Taric counters, this set of runes resulted in the greatest win rate. Notably, these runes provided a 44.7% winrate overall.
If you need to see Samira versus Taric tips and counter stats for a a particular skill level, please choose one from the selection menu shown above. At first, the statistics and strategies shown are computed using every match with data with these champions.