Remember that nearby enemies can see which wall you're in.
Look at the line-up of both your team and the enemy's team when picking your form.
Poppy can stop nearby enemies from dashing with Steadfast Presence.
When Poppy starts to spin her hammer, she is charging Keeper's Verdict.
You can step on Poppy's shield to deny it from her.
The stat comparisons provided here underscore some vital Kayn against Poppy matchup statistics that may help you interpret the differences and similarities between this set of champs. Kayn’s KDA ratio ([kills + assists] / deaths) of NaN is greater than Poppy’s ratio of NaN, indicating that Kayn may be more central to his team's team fighting effectiveness than Poppy..
Kayn typically has a similar longest killing spree as his counter does. Typically, he receives more damage than Poppy. This typically indicates different amounts of tankyness; however, it can also show that the one champ has less agility and thus is unable to kite away from additional harm when engaged or poked.
Both League champions are great. Both have their strengths, weaknesses, and counters. In the game's current meta, Kayn usually loses when taking on Poppy, with a 48.1% win rate. Thus, Kayn makes a poor counter for Poppy.
While Kayn does have a lower win rate than Poppy, when on opposite teams, Kayn also has a greater learning curve that makes him a more difficult champion to pick up and master. You should be careful when picking Kayn into Poppyas his relative depth means that you may not be able to reach his full potential without a significant amount of practice beforehand.
Moreover, Kayn also has almost no amount of CC and other utility, a similar amount to Poppy. This often makes her just as valuable during teamfights, especially when facing champions with a ton of burst damage.
While there isn't one best champion for every situation in League of Legends, in Kayn vs Poppy matchups, Poppy is the better champion with a lower win rate, more champion depth, and a similar amount of utility to help out your allied champions during teamfights.
Kayn is a somewhat poor counter for Poppy. Focus your actions on increasing your gold income and destroying objectives. If you do that, you should do very well as Kayn against Poppy.
If you would like to learn all of the intricacies of Kayn in order to counter Poppy during both the early game and mid / late game phases of League of Legends, you should continue reading to gather a few extra tips and tricks for this matchup. If you mind the build and suggestions shown above, you will increase your win rate significantly and be that much closer to League of Legends pro players.
Kayn usually picks up less CS compared to Poppy. Champs who typically don't earn many minion kills usualy don't need 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 large amounts of CS, such as hyper-carries, often need a lot of items to be effective. In either case, try to exceed the numbers displayed here to do well.
The best items to prioritize in your Kayn versus Poppy build include Serylda's Grudge, Axiom Arc, and Profane Hydra. When Kayn incorporated at least these three items in his build, he did significantly better when facing Poppy than with most other typical counter builds. In fact, Kayn boasted an average winrate of 48.1% when playing against Poppy with these items in his kit.
To have the greatest probability of beating Poppy as Kayn, Kayn players should use the Summon Aery, Nimbus Cloak, Transcendence, Gathering Storm, Sudden Impact, and Treasure Hunter runes from the Sorcery and Domination rune sets. Out of all the rune builds players chose for Kayn vs Poppy matchups, this mixture of runes yielded the best win rate. Moreover, these runes gave a 48.1% winrate overall.
If you want to see Kayn x Poppy tips and counter stats for a a specific rank, feel free to select one from the selection menu displayed above. If viewing for the first time, the stats and strategies displayed are calculated using all matches with data with these champions.