披甲龙龟克制与被克制

LoL 披甲龙龟 Counters and Best Teammmates

LOL最克制披甲龙龟的英雄和与其最搭配的英雄

45,500 披甲龙龟 Counters and Matchups Analyzed

汇总

To determine the ideal and worst counters for Rammus, we reviewed the outcomes of 45,500 recently played, ranked League of Legends games. We determined which champions have the greatest and poorest win rates against him. Additionally, we isolated those rare champions that are exceptional companions and who could help stop your champ from being crushed. Having summarized so many matches provides us a lot of certainty in our conclusions.

As you can see above, Trundle is the strongest to beat Rammus with a 54.0% win fraction against him. In a close second and third place, Mordekaiser and Amumu are the next scariest threats to Rammus. These two have win rates of 54.0% and 54.0%, respectively. You should avoid taking him into a round where one of these other champions has already been picked.

Conversely, if you're playing against Qiyana, you should expect to do much better. Rammus counters them with a great win percentage of 57.0%. Likewise, you can expect to do very well when facing Kalista and Nidalee. These champs have the next worst winrates against Rammus.

披甲龙龟最好配合的英雄

If you would like great champ pairings for your own allies to help improve your winrate more, look at the Rammus synergies above. Regardless of his chosen position, he does best when alonside Soraka. This pairing usually increases his average win rate by 5.0%. Swain and Kayle are also fantastic champions to fight alongside.

克制关系的研究方法

If you are looking to find out more about a particular Rammus counter, together with the finest builds to adopt in that matchup, please click the corresponding row in the tables above. If the particular Rammus counters you are looking for are not shown below, you may view all possible counters at the above link.

Additionally, if you would like to review Rammus synergies and counters for a particular rank tier, feel free to choose a different division from the dropdown menu above.

我们每周直接从拳头公司的服务器搜集数百万局比赛数据。用经典的统计方法和先进的机器学习算法,归纳出最准确最符合当前版本的披甲龙龟的克制和搭配关系。

克制披甲龙龟的重要原由