Cleavers are a powerful tool for killing neutral monsters. Instead of returning to base, farm neutral monsters until your ultimate can heal you.
A well-timed Sadism can bait enemy champions into attacking you even when they lack the damage to finish you.
Spirit Visage will increase the healing done by your ultimate and lower cooldowns on all of your abilities.
The stats shown here feature some influential Dr. Mundo versus Akshan counter statistics that may help you interpret the differences between this set of champions. Dr. Mundo’s KDA ratio ([kills + assists] / deaths) of NaN is better than Akshan’s KDA ratio of NaN, showing that Dr. Mundo may be more central to his team's team fighting potential than Akshan..
Dr. Mundo typically has a significantly smaller longest killing spree than his matchup does. On average, he takes more damage than Akshan. This commonly reflects different amounts of tankyness, but it can also indicate that the one champ has less agility and thus is unable to escape additional harm when poked or engaged.
Both League champs are great champions. Both have their strengths, weaknesses, and counters. In League's current meta, Dr. Mundo usually fairs equally well when taking on Akshan, with a 49.5% win rate. Therefore, Dr. Mundo makes an ok counter to Akshan.
While Dr. Mundo does have a lower win rate than Akshan, when they face off with one another, Dr. Mundo also has a much greater difficulty level that makes him a more difficult champ to develop with. You still need to be cautious when picking Dr. Mundo into Akshan.
Moreover, Dr. Mundo has only a small amount of CC and other utility, a similar amount to Akshan. This often makes her just as valuable during teamfights, especially when fighting champions with a ton of burst damage.
While there isn't one best champion overall in League of Legends, in Dr. Mundo 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 late stage team fights.
Dr. Mundo is a somewhat poor counter to Akshan. Focus your play on increasing your gold and cs and destroying objectives. If you do that, you should hold your own as Dr. Mundo against Akshan.
If you would like to truly master Dr. Mundo 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 tricks and insights into this matchup. If you pay attention to the build and stats presented above, you will increase your win rate significantly and be closer to League of Legends pro players.
Dr. Mundo often picks up a similar amount of CS relative to Akshan. Champs who on average don't earn much CS typically don't require much CS to be valuable teammates, such as support champions. These kinds of champions are able to scale well off of their abilities and first items alone. Yet, champions with a lot of CS, such as hyper-carries, often require several high cost items to be effective. In either case, try to surpass the numbers shown on this page to do well.
The most crucial items to focus on in your Dr. Mundo versus Akshan build consist of Sunfire Aegis, Heartsteel, and Titanic Hydra. When Dr. Mundo bought at least these three pieces in his build, he performed significantly better against Akshan than with many other commonly used builds. In fact, Dr. Mundo boasted an average winrate of 49.5% when countering Akshan with this counter build.
To have the greatest chance of crushing Akshan as Dr. Mundo, you should take the Grasp of the Undying, Demolish, Second Wind, Overgrowth, Approach Velocity, and Magical Footwear runes from the Resolve and Inspiration rune sets. Out of all the runes we have analyed for Dr. Mundo vs Akshan matchups, this mixture of runes resulted in the highest win rate. In fact, these runes gave a 49.5% winrate overall.
If you would like to view Dr. Mundo x Akshan tips and counter stats for a an individual rank, feel free to select one from the selection menu provided above. If viewing for the first time, the stats and build suggestions given are computed using all matches with data with both champions.