There’s a giant distinction between #17 and #1!

November 2022 was a month stuffed with some enjoyable comebacks, from new and outdated K-Pop artists alike! However, as is the case when evaluating the traces of any K-Pop songs, there’s a distinction in how evenly the traces have been distributed among the many hottest songs of the final month. Here are the least to most even line distributions for the 17 hottest K-Pop songs launched in November, based mostly on the distinction between the members with probably the most and least traces!

17. “Virus” by VICTON

P1MVSOj2YcyAb2bWO39p7jeXMNyyFC4 vQjqgmt3qYMCZKxp9ojmQ2QsflQmwl4hHn5VyZOJTZlUy85mBgHxZ7uGBck8xYfaXypyBa0e9PJKqrQ=s0 e365

Difference between least & most traces: 34.4%

16. “Dragon” by TEMPEST

ZYZ56m2YXFc7ouDRw1tQL1oIRRlRRdo6ky5OFLUIE2Vfyk jq07Xhadp8NKMFoJkcm9wbWYyEJnV761TOYQYfGv5yYZbMmkaqZ82Th731zZYj0s4=s0 e365

Difference between least & most traces: 25.5%

15. “Hair Cut” by Xdinary Heroes

FlIM JmBHTD0rBdBE AevQ OXa4Bovu R84GN9uPqeJxNzCrNMc I9 cE8ghapNnMvocoeHUgBy 6kyZo8Fpg4RJ4Gi1QiHk1uBiVjM6DQu3keg=s0 e365

Difference between least & most traces: 24%

14. “ME=” by JUST B

sIxeR5Dc3hPZMQ0 5JVqjERTTVbgFE6PiVQVOpf7U0DgIxAx s2bq3h0hu2MJz1pr kf9cRAq6w7rHgCP8GueP9S AQhhgnAXSIuMiAqHItjOI=s0 e365

Difference between least & most traces: 23.4%

13. “The One” by DRIPPIN

E 47 a axar6HU8LBw39JLte6OCZHVEAFItMwhRIZjm 2jPxA6hHLtQb Kb8CgBd StyyRfeR CUew9udXA9N8bS4cgS0KzW tdaA9ZIWgC9XpY=s0 e365

Difference between least & most traces: 20.8%

12. “Impurities” by LE SSERAFIM

bdS8Fin Wjj1C4 Kci8D77TnjtFjp3ofo5 vAmZRGMADBjvJwnJL9d7hbXxQweFwj6UDTR1oW27oxA4tf GRyud31KLSFcoZu4DBMScZ6Qojlg=s0 e365

Difference between least & most traces: 17.9%

11. “Funky Glitter Christmas” by NMIXX

PweGGIBpFCj2 nN1GdN ohdvfPQXSL qZ4SdJ4y9bbnVX4fEzAstps ypJ4jfWGz8f5FkEOGmk eOtp1CoEAVhFsMg6TTzADvOeX ue3mWJVvI0=s0 e365

Difference between least & most traces: 17.4%

10. “Tap Tap” by VERIVERY

AMEtZhnV5FopcevWpRlh2AQzvbKeR0T5k2WJ6R5bhu aFFeDnbZMrlZql N3vLrDw7YqXHVUlCxjlSOxN0RvCspvvBGfStHy9 NijnEUO6 N4nQ=s0 e365

Difference between least & most traces: 16.3%

9. “Vagabond” by TRENDZ

KKoDoaeElBWj5wX QLp im46WA5Zxz5EEWSJD0r HSMe4jrIP2JtaWlHgSQq8M3Vt4kLpPQ8K5VoYW5vk98mibxJIi9qlAauR7oXH9um6sTdAn0=s0 e365

Difference between least & most traces: 15.7%

8. “Birthday” by Red Velvet

W9fUDM7 nd4ySLAp6Yxi6ay1MJxlYM4jduT5B9WklpWiSFKBm8MFSlF45 oDEAsBmv 7cbeyb3D0Jui356CsQk us92yY1H3OhqjHttg0lFx7CU=s0 e365

Difference between least & most traces: 15%

7. “Freeze Tag” by TO1

4Jk4Uc t5XBaH3Os7HAdLSIiVBlEQIHrQma S1l6DSbkFuxv1Qrf e7AuRGdKTJUGkdx8WZUdHImVwPWrIq Fp2LCxpjKnqDLxB 4hqeze4Rw7o=s0 e365

Difference between least & most traces: 13.1%

6. “Young Boy” by NINE.i

C7P61vyINKVoVjmPZuDqI gr0Ujfs4WsweQku2jkbQyN Egan9Jay 2dwEQpT 8viH28zoa4S82RBvAc7u1dv1NgIg3kGHnYGV 0em N2xe6JY4h=s0 e365

Difference between least & most traces: 10.5%

5. “TAP” by Secret Number

CGWNJCAJNunLMAWzHmVlENA1ca4DGAfShVEi8qYDa2Xw6K3bWPO XR8q1hlxnXtgT1UB4oTvRjcLQPnBptZdaP3LhXRUkDeLo8v2rHgaemPkJGE=s0 e365

Difference between least & most traces: 10.1%

4. “Rollercoaster” by woo!ah!

njjWUnQ6e0TclPe 9ODqhRqea5H5ePYK90TPuSNmiiHRiX3DgyngvrNAZYFI5pd0Qblr9khLZcE2 ol3BHdzfXCJwlfDJQbwhCiWhnM7Hn52src=s0 e365

Difference between least & most traces: 9.9%

3. “Alone” by HIGHLIGHT

IjbZrb3kTnQhS5KIz8hc0 OAyOSTKDsL2s8JiczmMZoV97i1ih25Q15gSg uMIMJxXAXdk19gpLVxNHEYdGlYvOBrFQJnobuLpWQCMIhYO tZN0=s0 e365

Difference between least & most traces: 8.6%

2. “VolKno” by TREASURE

4wCHH3YsZZO5vjxm4SMiwL UiT2vYpUGLHssdnbqg8smf6qhdqt7 25MlOnJMylbI89iVfzrJqUC9Y5U3VQC5Q6YzgV4tSuSXc9PUWeCfmFz7w=s0 e365

Difference between least & most traces: 6.9%

1. “DREAM” by SEVENTEEN

UIZIWJezdFsWXslyVSS 9jwl3Y7d1NhKy8bTkp6nHqsN5lQPW7yh026JfxmAkeK Oi8LyTJON5VzOWEoePmZVGU1ZGfKPRVm oY1tw7bQxRoD8w=s0 e365

Difference between least & most traces: 6.9%



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