Try to coordinate high-damage abilities with your allies right after Dr. Mundo uses his ultimate, but if you're unable to kill him quickly with burst he will heal through the damage.
Try casting Ignite when Dr. Mundo uses Sadism to negate a large portion of its healing.
The stat comparisons provided here underscore several strategic Lillia against Dr. Mundo counter statistics that can help us explain the differences between this pair of champs. Lillia’s KDA ratio ([kills + assists] / deaths) of NaN is greater than Dr. Mundo’s KDA ratio of NaN, highlighting that Lillia may be more central to her team's team fighting capacity than Dr. Mundo..
Lillia usually has a slightly larger longest kill spree than her opponent does. Commonly, she receives less damage than Dr. Mundo. This commonly reflects different amounts of tankyness, yet it can also show that the champ with increased health has less agility and thus is unable to flee from additional harm when engaged or poked.
Both LoL champions are great. Both have their pros and cons. In League's current meta, Lillia usually wins when trying to fight Dr. Mundo, with a 55.5% win rate. Thus, Lillia makes a fantastic counter for Dr. Mundo.
While Lillia does have a much higher winrate compared to Dr. Mundo, when facing one another, Lillia also has a much greater learning curve that makes her a more complex character to develop with. You should be be fine when picking Lillia into Dr. Mundoas her relative depth means you may not be able to reach her full potential without a lot of practice beforehand.
Additionally, Lillia also has some amount of utility and CC, a similar amount to Dr. Mundo. 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 in League of Legends, in Lillia vs Dr. Mundo 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 team members during late stage team fights.
Lillia is a great counter for Dr. Mundo. Focus your actions on increasing your gold and cs and destroying objectives. If you are able to do that, you should hold your own as Lillia against Dr. Mundo.
If you would like to learn all of the intricacies of Lillia to counter Dr. Mundo during both the early game and mid / late game phases of League of Legends, you should continue reading to learn a few extra lessons on this matchup. If you mind the build and tips displayed here, you will increase your win rate by a lot and be that much closer to League of Legends pro players.
Lillia typically racks up a lot less CS relative to Dr. Mundo. Champions who typically don't earn many minion kills often don't require much CS to be valuable teammates, such as support champions. They are able to scale well off of their abilities and first items alone. Yet, champions with large amounts of CS, such as hyper-carries, typically need a lot of items to be effective. In either case, try to exceed the values displayed on this page to do well.
The ideal items to focus on in your Lillia versus Dr. Mundo build include Rabadon's Deathcap, Riftmaker, and Liandry's Torment. When Lillia bought at least these three pieces in her build, she performed a lot better versus Dr. Mundo than with many other commonly used counter builds. In fact, Lillia boasted an average win rate of 55.5% battling Dr. Mundo with this counter build.
To have the greatest probability of annihilating Dr. Mundo as Lillia, Lillia players should take the Conqueror, Triumph, Legend: Tenacity, Coup de Grace, Magical Footwear, and Cosmic Insight runes from the Precision and Inspiration rune sets. Out of all the rune sets players used for Lillia vs Dr. Mundo battles, this mix of runes resulted in the best win rate. Moreover, these runes averaged a 55.5% win rate overall.
If you need to view Lillia vs Dr. Mundo tips and counter builds for a a distinct rank, please choose one from the selection menu provided above. If viewing for the first time, the stats and build suggestions shown are calculated using every match with data with both champs.