Rammus accumule souvent les points d'armure, ce qui le rend vulnérable aux dégâts des invocateurs quand il ne dispose pas de Boule défensive.
Faites attention quand Boule défensive est inactive. Dans ce cas, ses statistiques sont un peu inférieures à celles d'un tank normal.
The stat comparisons provided here underscore several vital Lillia against Rammus matchup stats that may help you appreciate the distinctions between the two. As an example, Lillia’s KDA ratio ([kills + assists] / deaths) of NaN is better than Rammus’s KDA ratio of NaN, highlighting that Lillia may be more central to her team's team fighting effectiveness than Rammus. This observation is largely caused by the difference in kills.
Lillia typically has a much larger longest kill spree than her foe does. Commonly, she receives more damage than Rammus. This is usually reflective of different amounts of tankyness, yet it can also hint that the champ with higher HP has less mobility and thus is not able to flee from further damage when engaged or poked.
Both LoL champs are great. Both champs have their pros and cons. In the game's current meta, Lillia usually wins when playing against Rammus, with a 59.3% win rate. Therefore, Lillia makes a fantastic counter to Rammus.
While Lillia does have a much higher winrate compared to Rammus, when they face off with one another, Lillia also has a much greater learning curve that makes her a more complex champion to learn and master. You don't need to be too worried when picking Lillia into Rammusas her relative depth means that you may not be able to reach her full potential without a lot of practice beforehand.
Furthermore, Lillia also has some amount of utility and CC, a similar amount to Rammus. This often makes her just as valuable during teamfights, especially when trying to counter champions with a ton of burst damage.
While there is not a single best champion overall in League of Legends, in Lillia vs Rammus matchups, Lillia is the better champion with a noticably higher win rate, more champion depth, and a similar amount of utility to help out your teammates during team fights.
Lillia is a great counter to Rammus. You will do well by focussing your actions on maximizing your gold and cs and clearing objectives. If you can do that, you should hold your own as Lillia against Rammus.
To truly master Lillia in order to counter Rammus during both the lane and mid / late game phases of League of Legends, you should continue reading to gather a few extra lessons on this matchup. If you pay attention to the build and stats displayed here, you will grow your win rate significantly and be closer to League of Legends pro players.
Lillia on average picks up a similar amount of CS relative to Rammus. Champs who on average don't take much CS often don't have to have much CS to be effective, such as supports. They are able to scale properly off of their abilities and first items alone. Yet, champions with a lot of CS, such as hyper-carries, usually require a lot of items to be effective. In either situation, try to surpass the numbers shown on this page to do well.
The ideal items to prioritize in your Lillia versus Rammus build include Coiffe de Rabadon, Créateur de failles, and Tourment de Liandry. When Lillia included at least these three items in her build, she performed much better when facing Rammus than with many other common builds. In fact, Lillia had an average winrate of 59.3% battling Rammus with these items in her kit.
To have the highest likelihood of crushing Rammus as Lillia, you should use the Conquérant, Triomphe, Légende : ténacité, Coup de grâce, Savoir cosmique, and Chaussures magiques runes from the Précision and Inspiration rune sets. Of all the runes players used for Lillia vs Rammus matchups, this mixture of runes yielded the best win rate. Moreover, these runes averaged a 59.3% win rate overall.
If you need to view Lillia x Rammus tips and matchup stats and build suggestions for a a distinct skill level, please choose one from the selection menu shown above. By default, the statistics and build suggestions shown are computed using all matches with data with these champions.