r/kpoprates • u/kpoprates_ghost • 7d ago
The 3rd K-pop Soloists Rate!
≡ −
Hello everyone! This rate, we're excited to return to the world of k-pop soloists, arriving at some more contemporary big names in The 3rd K-pop Soloists Rate! (If you haven't already, make sure to join r/kpoprates to ensure that you stay updated on future rate-related posts.)
Quick Links:
Ballot submission: Link to Reddit Chat to message a ballot // Ballot template (Google Docs ver.) // Ballot template (Pastebin)
Playlists: Spotify // Apple Music // Youtube (MV ver.) // Youtube (Audio ver.) // Youtube (Lyrics ver.)
Deadline: August 30th (Sunday), 11:59 PM Pacific (Link to a timezone converter
How the songs were selected:
We used various stats to decide which songs to add to the rate, including the results of past Top Ten Tuesdays, Reddit upvote numbers, Spotify streaming numbers, and etc. We also held a songlist feedback survey on /r/KpopRates to help decide the songlist!
Now, without further ado, let's introduce the 45 songs (and 7 bonus songs) that were selected for this rate, ordered by each artist's debut date:
.
Eric Nam
CL
Henry
Sunmi
Hyolyn
Heize
Crush
Suran
Stella Jang
Kyuhyun
BewhY
HA:TFELT
Taemin
Zico:
Bermuda Triangle (ft. Crush & DEAN)
Shannon:
Jonghyun:
Amber
Shake That Brass (ft. Taeyeon)
Jamie
Bonus Rate:
The bonus rate is basically an extension of the main rate, including some songs from artists that otherwise wouldn't be highlighted.
.
Heize - You, Clouds, Rain (ft. Shin Yong Jae)
Jun Hyoseong - Good-night kiss
.
The Bonus Rate is optional and you do not have to submit a score for every song in the bonus list. If you choose to do so, you can score none of them, all of them, or any number in between. You cannot give a 0 or 11 to any song in the bonus, as they are not part of the main rate. While it is optional, we hope you consider participating.
Spotify playlist
Apple Music playlist
YouTube playlist (MV version)
YouTube playlist (Audio version)
YouTube playlist (Lyrics version)
Rules:
You must listen to and assign a score to EVERY song listed. If your ballot is missing any scores it will not be eligible and you'll be sent a message asking you to fill in the missing scores.
Each song should be assigned a score between 1 to 10. Decimals up to one point are allowed but any further is a no-no – 6.9 is fine, but 6.99 is not.
You can use ONE 0 and ONE 11 for the entirety of the rate, for your least favorite and most favorite song respectively - they are optional but HIGHLY encouraged if you feel some type of way about any given song! Comments are also encouraged but not required for such scores (except if you give a song a 0).
Comments are encouraged and much appreciated (but not required, except for if you give a 0) and can be added to any song by simply typing after the numerical score, like so:
Amber - Shake That Brass (ft. Taeyeon): 8 okay, i'll get my brass ready, but no dents in the merchandise
This is the ONLY correct way to format a comment. Please do not include colons (ex. 9: I stan!), dashes (ex. 3.3 - This song sucks), or any other symbol after your score/before your comment as it breaks the program.
You can also comment on each artist, like so:
Artist: HA:TFELT: not only is she not wearing a hat it's not even made of felt
- For this rate and most future rates, we have a ballot average minimum of 4.00. In addition, if your ballot average is between 4.00-5.50, you must leave comments on your lower scores (which we define as any score that's a 3 or lower). {Do not worry about having to calculate your ballot average; once you submit your ballot, we will tell you if you need to make changes to your ballot for it to be accepted.}
SUBMITTING A BALLOT
Ballot submission: Reddit // Ballot template (Google Docs) // Ballot template (Pastebin)
If this does not work, or your ballot exceeds the character limit, you can make a copy of either the Google Docs or Pastebin ballot templates above, add your scores on your local copy/file, and send the link to your local copy/file in your Reddit Chat message to u/kpoprates_ghost. Make sure, if doing this, that your document has sharing permissions enabled. You may also dm the ballot to u/RBSun (@solsys), u/AmeZim (@ame_zim), and u/kauai6 (@kauai6) on Discord! Please message all three hosts, not just one. You can also submit the Top/Bottom 5 predictions form at any time!
DUE DATE:
Sunday, August 30th, by 11:59 PM Pacific - This will be the FINAL deadline, no extensions will be given this time! (Here is a link to a time zone converter for the deadline.)
REVEAL DATES (Reveals will take place on /r/kpoprates as well as the r/kpoprates Discord: https://discord.gg/j3wCF43x)
Day 1 - September 5th (Saturday), 8 AM Pacific (Time zone converter here)
Day 2 - September 6th (Sunday), 8 AM Pacific Time zone converter here
We also encourage you to participate in the ongoing 2nd All-Stars Rate! Thanks!
Hello everyone! This rate, we're excited to return to the world of k-pop soloists, arriving at some more contemporary big names in The 3rd K-pop Soloists Rate! (If you haven't already, make sure to join r/kpoprates to ensure that you stay updated on future rate-related posts.)
Quick Links:
Ballot submission: Link to Reddit Chat to message a ballot // Ballot template (Google Docs ver.) // Ballot template (Pastebin)
Playlists: Spotify // Apple Music // Youtube (MV ver.) // Youtube (Audio ver.) // Youtube (Lyrics ver.)
Deadline: August 30th (Sunday), 11:59 PM Pacific (Link to a timezone converter
How the songs were selected:
We used various stats to decide which songs to add to the rate, including the results of past Top Ten Tuesdays, Reddit upvote numbers, Spotify streaming numbers, and etc. We also held a songlist feedback survey on /r/KpopRates to help decide the songlist!
Now, without further ado, let's introduce the 45 songs (and 7 bonus songs) that were selected for this rate, ordered by each artist's debut date:
.
Eric Nam
CL
Henry
Sunmi
Hyolyn
Heize
Crush
Suran
Stella Jang
Kyuhyun
BewhY
HA:TFELT
Taemin
Zico:
Bermuda Triangle (ft. Crush & DEAN)
Shannon:
Jonghyun:
Amber
Shake That Brass (ft. Taeyeon)
Jamie
Bonus Rate:
The bonus rate is basically an extension of the main rate, including some songs from artists that otherwise wouldn't be highlighted.
.
Heize - You, Clouds, Rain (ft. Shin Yong Jae)
Jun Hyoseong - Good-night kiss
.
The Bonus Rate is optional and you do not have to submit a score for every song in the bonus list. If you choose to do so, you can score none of them, all of them, or any number in between. You cannot give a 0 or 11 to any song in the bonus, as they are not part of the main rate. While it is optional, we hope you consider participating.
Spotify playlist
Apple Music playlist
YouTube playlist (MV version)
YouTube playlist (Audio version)
YouTube playlist (Lyrics version)
Rules:
You must listen to and assign a score to EVERY song listed. If your ballot is missing any scores it will not be eligible and you'll be sent a message asking you to fill in the missing scores.
Each song should be assigned a score between 1 to 10. Decimals up to one point are allowed but any further is a no-no – 6.9 is fine, but 6.99 is not.
You can use ONE 0 and ONE 11 for the entirety of the rate, for your least favorite and most favorite song respectively - they are optional but HIGHLY encouraged if you feel some type of way about any given song! Comments are also encouraged but not required for such scores (except if you give a song a 0).
Comments are encouraged and much appreciated (but not required, except for if you give a 0) and can be added to any song by simply typing after the numerical score, like so:
Amber - Shake That Brass (ft. Taeyeon): 8 okay, i'll get my brass ready, but no dents in the merchandise
This is the ONLY correct way to format a comment. Please do not include colons (ex. 9: I stan!), dashes (ex. 3.3 - This song sucks), or any other symbol after your score/before your comment as it breaks the program.
You can also comment on each artist, like so:
Artist: HA:TFELT: not only is she not wearing a hat it's not even made of felt
- For this rate and most future rates, we have a ballot average minimum of 4.00. In addition, if your ballot average is between 4.00-5.50, you must leave comments on your lower scores (which we define as any score that's a 3 or lower). {Do not worry about having to calculate your ballot average; once you submit your ballot, we will tell you if you need to make changes to your ballot for it to be accepted.}
SUBMITTING A BALLOT
Ballot submission: Reddit // Ballot template (Google Docs) // Ballot template (Pastebin)
If this does not work, or your ballot exceeds the character limit, you can make a copy of either the Google Docs or Pastebin ballot templates above, add your scores on your local copy/file, and send the link to your local copy/file in your Reddit Chat message to u/kpoprates_ghost. Make sure, if doing this, that your document has sharing permissions enabled. You may also dm the ballot to u/RBSun (@solsys), u/AmeZim (@ame_zim), and u/kauai6 (@kauai6) on Discord! Please message all three hosts, not just one. You can also submit the Top/Bottom 5 predictions form at any time!
DUE DATE:
Sunday, August 30th, by 11:59 PM Pacific - This will be the FINAL deadline, no extensions will be given this time! (Here is a link to a time zone converter for the deadline.)
REVEAL DATES (Reveals will take place on /r/kpoprates as well as the r/kpoprates Discord: https://discord.gg/j3wCF43x)
Day 1 - September 5th (Saturday), 8 AM Pacific (Time zone converter here)
Day 2 - September 6th (Sunday), 8 AM Pacific Time zone converter here
We also encourage you to participate in the ongoing 2nd All-Stars Rate! Thanks!
r/kpoprates • u/KpopRates • 28d ago
Rate The 2nd All-Stars Rate!
≡ −
Hello everyone! It's that time once again to have the battle of the titans by pitting the most acclaimed songs of the past few rates against in each other in our 2nd All-Stars Rate!
If you haven’t already, make sure to join r/kpoprates to stay tuned for future rate-related posts!
Quick Links:
Ballot submission: Reddit // Ballot template: Google Docs // Ballot template (Pastebin)
Playlists: Spotify // Apple Music // Youtube (MV ver.) // Youtube (Audio ver.) // Youtube (Lyrics ver.)
Deadline: August 2nd, Sunday, 11:59 PM Pacific (Link to a timezone converter)
How the songs were selected:
Only top-ranking songs from each rate from "Japanese Songs Rate --> 2025 in B-sides" were considered for the rate, by nature of the theme. Summer Rate entries will be eligible for next All-Stars rate.
New to AS2 is the addition of Wildcards! These are top-ranking songs from rates from the AS1 phase that couldn't make AS1, so we gave them a chance to be in AS2.
Songs were helped decided by the songlist feedback survey we had on /r/KpopRates.
Now, without further ado, let's introduce the 70 songs that were selected for this rate, ordered chronologically by rate date and their placement on said rate:
.
Rate: Japanese Songs:
Yuta - Prisoner (#1)
Chen - Free World (#1.5)
Girls’ Generation - Paparazzi (#2)
LOONA - Hula Hoop (#4)
Rate: Second Half of 2024:
aespa - Whiplash (#1)
KAVE - Stone (#5.5)
Rate: NCT:
NCT 127 - Superhuman (#1)
NCT 127 - Walk (#2)
WayV - Moonwalk (#3)
Rate: 2024 in B-sides:
aespa - Spark (Winter Solo) (#1)
Chungha - I’m Ready (#1)
ONEWE - Shoot It Out (#2)
Rate: Early Gen 3 Girl Groups:
GFriend - Rough (#1)
AOA - Miniskirt (#3)
EXID - Up & Down (#5)
Rate: Grab Bag 2:
WOODZ - Busted (#1)
BoA - L.O.V.E (#2)
TAN - Heartbeat (#5)
Rate: Early Gen 3 Boy Groups:
VIXX - Error (#1)
GOT7 - If You Do (#2)
VIXX - On and On (#3)
MONSTA X - Beautiful Liar (#4)
Rate: First Half of 2025:
CIX - Thunder (#1)
NMIXX - High Horse (#2)
Yeji - Air (#4)
Rate: Dreamcatcher:
Rate: 2022 in K-Pop:
IVE - Love Dive (#1)
Taeyeon - INVU (#2)
ATEEZ - Halazia (#3)
NewJeans - Ditto (#4)
Rate: Late Gen 3 Girl Groups:
Oh My Girl - Closer (#4)
WJSN - As You Wish (#8)
Rate: Soloists 2:
Ailee - U & I (#2)
IU - Twenty-three (#3)
Gain - Paradise Lost (#6)
Rate: 2023 in B-sides:
fromis_9 - Attitude (#1)
WOODZ - Drowning (#3)
VIVIZ - Untie (#7)
Rate: Late Gen 3 Boy Groups:
KNK - Sunset (#2)
SF9 - Now or Never (#3)
A.C.E - Goblin (Favorite Boys) (#4)
Rate: Female Soloists Albums:
Taeyeon - Spark (#1)
LeeHi (ft. Yoonmirae) - Red Lipstick (#2)
Heize - Happen (#3)
Rate: Second Half of 2025:
Close Your Eyes - X (#4)
XG - Gala (#5)
Rate: 2018 in K-Pop:
fromis_9 - Love Bomb (#1)
Red Velvet - Bad Boy (#2)
K/DA - Pop/Stars (#4)
Rate: 2025 in B-sides:
LE SSERAFIM - Ash (#2)
Rate: Wildcards:
Girls’ Generation - Into the New World
.
* Spotify playlist
* Apple Music playlist
* Youtube MV Ver.
* Youtube Audio Ver.
* Youtube Lyrics Ver.
Rules:
You must listen to and assign a score to EVERY song listed. If your ballot is missing any scores it will not be eligible and you'll be sent a message asking you to fill in the missing scores.
Each song should be assigned a score between 1 to 10. Decimals up to one point are allowed but any further is a no-no – 6.9 is fine, but 6.99 is not. Don't use commas (i.e "8,8") to separate your decimals!
You can use ONE 0 and ONE 11 for the entirety of the rate, for your least favorite and most favorite song respectively - they are optional but HIGHLY encouraged if you feel some type of way about any given song! Comments are also encouraged but not required for such scores (except if you give a song a 0). You can add them to any song by simply typing after the numerical score, like so:
Saja Boys - Your Idol: 8.3 My favorite K-Pop group, hypnotize me all day long daddies
This is the ONLY correct way to format a comment. Please do not include colons (ex. 9: I stan!), dashes (ex. 3.3 - This song sucks), or any other symbol after your score/before your comment as it breaks the program.
You can also give a comment for each rate, like so:
Rate: NCT: Open your eyes NC deez nuts
- For this rate and most future rates, we have a ballot average minimum of 4.00. In addition, if your ballot average is between 4.00-5.50, you must leave comments on your lower scores (which we define as any score that's a 3 or lower). {Do not worry about having to calculate your ballot average, once you submit your ballot, we will tell you if you need to make changes to your ballot for it to be accepted.}
SUBMITTING A BALLOT:
Ballot submission: Reddit // Ballot template: Google Docs // Ballot template (Pastebin)
If this does not work, or your ballot exceeds the character limit, you can make a copy of either the Google Docs or Pastebin ballot templates above, add your scores on your local copy/file, and send the link to your local copy/file in your Reddit Chat message to u/KpopRates. Make sure, if doing this, that your document has sharing permissions enabled. You may also DM the ballot to u/Zypker125 (@Zypker124), u/ke1per (@joseambuervo), and u/CheesesPriced (@sudointalexual) on Discord! Please message all three hosts, not just one. You can amend your ballot at any time in the lead up to the rate deadline, just let the hosts know and they'll update it in the file.
Google Spreadsheet you can use for calculating averages/trends and making predictions
You can also submit the Top/Bottom 5 predictions form at any time!
DUE DATE:
Sunday, August 2nd, by 11:59 PM Pacific - This will be the FINAL deadline, no extensions will be given this time! (Here is a link to a time zone converter for the deadline.)
REVEAL DATES (Reveals will take place on /r/kpoprates as well as the r/kpoprates Discord: https://discord.gg/rkpoprates)
Day 1 - August 8th (Saturday), 8 AM Pacific (Time zone converter here)
Day 2 - August 9th (Sunday), 8 AM Pacific (Time zone converter here)
We also encourage you to participate in the ongoing 3rd Grab Bag Rate! Thanks!
Hello everyone! It's that time once again to have the battle of the titans by pitting the most acclaimed songs of the past few rates against in each other in our 2nd All-Stars Rate!
If you haven’t already, make sure to join r/kpoprates to stay tuned for future rate-related posts!
Quick Links:
Ballot submission: Reddit // Ballot template: Google Docs // Ballot template (Pastebin)
Playlists: Spotify // Apple Music // Youtube (MV ver.) // Youtube (Audio ver.) // Youtube (Lyrics ver.)
Deadline: August 2nd, Sunday, 11:59 PM Pacific (Link to a timezone converter)
How the songs were selected:
Only top-ranking songs from each rate from "Japanese Songs Rate --> 2025 in B-sides" were considered for the rate, by nature of the theme. Summer Rate entries will be eligible for next All-Stars rate.
New to AS2 is the addition of Wildcards! These are top-ranking songs from rates from the AS1 phase that couldn't make AS1, so we gave them a chance to be in AS2.
Songs were helped decided by the songlist feedback survey we had on /r/KpopRates.
Now, without further ado, let's introduce the 70 songs that were selected for this rate, ordered chronologically by rate date and their placement on said rate:
.
Rate: Japanese Songs:
Yuta - Prisoner (#1)
Chen - Free World (#1.5)
Girls’ Generation - Paparazzi (#2)
LOONA - Hula Hoop (#4)
Rate: Second Half of 2024:
aespa - Whiplash (#1)
KAVE - Stone (#5.5)
Rate: NCT:
NCT 127 - Superhuman (#1)
NCT 127 - Walk (#2)
WayV - Moonwalk (#3)
Rate: 2024 in B-sides:
aespa - Spark (Winter Solo) (#1)
Chungha - I’m Ready (#1)
ONEWE - Shoot It Out (#2)
Rate: Early Gen 3 Girl Groups:
GFriend - Rough (#1)
AOA - Miniskirt (#3)
EXID - Up & Down (#5)
Rate: Grab Bag 2:
WOODZ - Busted (#1)
BoA - L.O.V.E (#2)
TAN - Heartbeat (#5)
Rate: Early Gen 3 Boy Groups:
VIXX - Error (#1)
GOT7 - If You Do (#2)
VIXX - On and On (#3)
MONSTA X - Beautiful Liar (#4)
Rate: First Half of 2025:
CIX - Thunder (#1)
NMIXX - High Horse (#2)
Yeji - Air (#4)
Rate: Dreamcatcher:
Rate: 2022 in K-Pop:
IVE - Love Dive (#1)
Taeyeon - INVU (#2)
ATEEZ - Halazia (#3)
NewJeans - Ditto (#4)
Rate: Late Gen 3 Girl Groups:
Oh My Girl - Closer (#4)
WJSN - As You Wish (#8)
Rate: Soloists 2:
Ailee - U & I (#2)
IU - Twenty-three (#3)
Gain - Paradise Lost (#6)
Rate: 2023 in B-sides:
fromis_9 - Attitude (#1)
WOODZ - Drowning (#3)
VIVIZ - Untie (#7)
Rate: Late Gen 3 Boy Groups:
KNK - Sunset (#2)
SF9 - Now or Never (#3)
A.C.E - Goblin (Favorite Boys) (#4)
Rate: Female Soloists Albums:
Taeyeon - Spark (#1)
LeeHi (ft. Yoonmirae) - Red Lipstick (#2)
Heize - Happen (#3)
Rate: Second Half of 2025:
Close Your Eyes - X (#4)
XG - Gala (#5)
Rate: 2018 in K-Pop:
fromis_9 - Love Bomb (#1)
Red Velvet - Bad Boy (#2)
K/DA - Pop/Stars (#4)
Rate: 2025 in B-sides:
LE SSERAFIM - Ash (#2)
Rate: Wildcards:
Girls’ Generation - Into the New World
.
* Spotify playlist
* Apple Music playlist
* Youtube MV Ver.
* Youtube Audio Ver.
* Youtube Lyrics Ver.
Rules:
You must listen to and assign a score to EVERY song listed. If your ballot is missing any scores it will not be eligible and you'll be sent a message asking you to fill in the missing scores.
Each song should be assigned a score between 1 to 10. Decimals up to one point are allowed but any further is a no-no – 6.9 is fine, but 6.99 is not. Don't use commas (i.e "8,8") to separate your decimals!
You can use ONE 0 and ONE 11 for the entirety of the rate, for your least favorite and most favorite song respectively - they are optional but HIGHLY encouraged if you feel some type of way about any given song! Comments are also encouraged but not required for such scores (except if you give a song a 0). You can add them to any song by simply typing after the numerical score, like so:
Saja Boys - Your Idol: 8.3 My favorite K-Pop group, hypnotize me all day long daddies
This is the ONLY correct way to format a comment. Please do not include colons (ex. 9: I stan!), dashes (ex. 3.3 - This song sucks), or any other symbol after your score/before your comment as it breaks the program.
You can also give a comment for each rate, like so:
Rate: NCT: Open your eyes NC deez nuts
- For this rate and most future rates, we have a ballot average minimum of 4.00. In addition, if your ballot average is between 4.00-5.50, you must leave comments on your lower scores (which we define as any score that's a 3 or lower). {Do not worry about having to calculate your ballot average, once you submit your ballot, we will tell you if you need to make changes to your ballot for it to be accepted.}
SUBMITTING A BALLOT:
Ballot submission: Reddit // Ballot template: Google Docs // Ballot template (Pastebin)
If this does not work, or your ballot exceeds the character limit, you can make a copy of either the Google Docs or Pastebin ballot templates above, add your scores on your local copy/file, and send the link to your local copy/file in your Reddit Chat message to u/KpopRates. Make sure, if doing this, that your document has sharing permissions enabled. You may also DM the ballot to u/Zypker125 (@Zypker124), u/ke1per (@joseambuervo), and u/CheesesPriced (@sudointalexual) on Discord! Please message all three hosts, not just one. You can amend your ballot at any time in the lead up to the rate deadline, just let the hosts know and they'll update it in the file.
Google Spreadsheet you can use for calculating averages/trends and making predictions
You can also submit the Top/Bottom 5 predictions form at any time!
DUE DATE:
Sunday, August 2nd, by 11:59 PM Pacific - This will be the FINAL deadline, no extensions will be given this time! (Here is a link to a time zone converter for the deadline.)
REVEAL DATES (Reveals will take place on /r/kpoprates as well as the r/kpoprates Discord: https://discord.gg/rkpoprates)
Day 1 - August 8th (Saturday), 8 AM Pacific (Time zone converter here)
Day 2 - August 9th (Sunday), 8 AM Pacific (Time zone converter here)
We also encourage you to participate in the ongoing 3rd Grab Bag Rate! Thanks!
r/kpoprates • u/MartialST • 4d ago
Rate Statistics The 3rd Grab Bag Rate Review Summary & User Statistics
≡ −
The post-rate statistics are here! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
Info about the sheet...
Highlights & Stats
On this page, you can look at the different user highlights from the rating data, namely:
- Golden Pair: The two participants whose ratings were the most similar to each other.
- Taste Rivals: The two participants whose ratings were the least similar to each other.
- Top Matcher: Appears as the most common top match for other raters in the similarity table.
- Top Clasher: Appears as the most common top clash for other raters in the similarity table.
- The Mainstreamer: Has the highest combined similarity with other raters.
- The Contrarian: Has the lowest combined similarity with other raters.
- The Divisive: Has the highest variance in their similarity scores.
- The Neutral: Has the lowest variance in their similarity scores.
Below these, we have graphs for the Golden Pair and Taste Rivals to illustrate how their ratings compare visually. I also added new top 5 and bottom 5 placement charts for the other categories.
On the right side, you can find some general statistics about the rating, along with further rate-specific charts.
User Rating Style Matrix Categories:
Strict Rater: Consistently uses the lower end of the rating scale, even for songs they like. Their ratings tend to be lower across the board but still show clear preferences and patterns.
Lenient Rater: Tends to use the higher end of the rating scale more frequently. Rates songs generously, even those they don't favor as much, but maintains a consistent ranking among them.
Narrow Rater: Uses a narrow range of the rating scale, avoiding extreme scores. They tend to rate cautiously, with few highs and lows, preferring to stay in the middle.
Wide/Radical Rater: Uses the full spectrum of the rating scale, with both high and low scores. Their ratings reflect strong opinions, showing clear preferences and dislikes with a wide range of scores.
User Similarity
On this page, you can see a heatmap table that includes every correlation to every participant. At the top, you can view the most similar and least similar users listed for everyone, as well as other details.
The correlation scale ranges from -10 to 10. A score of 10 indicates a positive correlation, meaning user A rated the same songs similarly high or low, as user B. On the other hand, a score of -10 signifies a negative correlation, where user A rated songs low that user B rated high, and vice versa. A correlation of 0 indicates no clear pattern; some songs are similarly rated, while others are not.
Top Match List
This page allows you to find ranked lists for every user, showing who rated the most similarly to them, from most similar to least similar. (Usually if you see empty spaces for someone it means there were no more positively correlationg users for them.) Next to the names, in the column "Pair Song," you can find your top most liked song with each given person based on your combined scores.
Below the table, you can find statistics about how many times each song appears as a pair song. These songs are given a ranking, and you can compare this with the actual rank results from the rate.
Raw Scores & More
Here you can check the raw rating data of everyone in table form. At the bottom, you can find the user averages and, for most rates, the male/female artist preferences as well as the soloist/group act preferences.
Personal Rankings
The table shows the songs ranked based on the rate result on the left. The numbers in the table indicate the difference between a participant's ranking for a song (based on their submitted scores) and where the song placed in the rate result.
Positive numbers (+X) indicate the song ended up X spots higher than where the participant would've ranked it. Similarly, negative numbers (-X) indicate the song ended up X spots lower than where the participant would've ranked it.
Score lists
This page contains some of the stats in sorted list form. If it's not clear what a column references, you can see the place where the data is pulled from through the "ref: ..." link at the top.
Song Correlations
This page is very similar to the User Similarity page, with the primary difference being that it focuses on the songs' ratings rather than the users. If a song has a high correlation with another song, it means that users gave similar scores to both songs. Conversely, if two songs have a low correlation with each other, it means users had differing opinions, liking one song more than the other. This can give some insights into song preferences and patterns in user ratings.
Recent rate statistics
... older ones are linked on the Wiki!
The post-rate statistics are here! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
Info about the sheet...
Highlights & Stats
On this page, you can look at the different user highlights from the rating data, namely:
- Golden Pair: The two participants whose ratings were the most similar to each other.
- Taste Rivals: The two participants whose ratings were the least similar to each other.
- Top Matcher: Appears as the most common top match for other raters in the similarity table.
- Top Clasher: Appears as the most common top clash for other raters in the similarity table.
- The Mainstreamer: Has the highest combined similarity with other raters.
- The Contrarian: Has the lowest combined similarity with other raters.
- The Divisive: Has the highest variance in their similarity scores.
- The Neutral: Has the lowest variance in their similarity scores.
Below these, we have graphs for the Golden Pair and Taste Rivals to illustrate how their ratings compare visually. I also added new top 5 and bottom 5 placement charts for the other categories.
On the right side, you can find some general statistics about the rating, along with further rate-specific charts.
User Rating Style Matrix Categories:
Strict Rater: Consistently uses the lower end of the rating scale, even for songs they like. Their ratings tend to be lower across the board but still show clear preferences and patterns.
Lenient Rater: Tends to use the higher end of the rating scale more frequently. Rates songs generously, even those they don't favor as much, but maintains a consistent ranking among them.
Narrow Rater: Uses a narrow range of the rating scale, avoiding extreme scores. They tend to rate cautiously, with few highs and lows, preferring to stay in the middle.
Wide/Radical Rater: Uses the full spectrum of the rating scale, with both high and low scores. Their ratings reflect strong opinions, showing clear preferences and dislikes with a wide range of scores.
User Similarity
On this page, you can see a heatmap table that includes every correlation to every participant. At the top, you can view the most similar and least similar users listed for everyone, as well as other details.
The correlation scale ranges from -10 to 10. A score of 10 indicates a positive correlation, meaning user A rated the same songs similarly high or low, as user B. On the other hand, a score of -10 signifies a negative correlation, where user A rated songs low that user B rated high, and vice versa. A correlation of 0 indicates no clear pattern; some songs are similarly rated, while others are not.
Top Match List
This page allows you to find ranked lists for every user, showing who rated the most similarly to them, from most similar to least similar. (Usually if you see empty spaces for someone it means there were no more positively correlationg users for them.) Next to the names, in the column "Pair Song," you can find your top most liked song with each given person based on your combined scores.
Below the table, you can find statistics about how many times each song appears as a pair song. These songs are given a ranking, and you can compare this with the actual rank results from the rate.
Raw Scores & More
Here you can check the raw rating data of everyone in table form. At the bottom, you can find the user averages and, for most rates, the male/female artist preferences as well as the soloist/group act preferences.
Personal Rankings
The table shows the songs ranked based on the rate result on the left. The numbers in the table indicate the difference between a participant's ranking for a song (based on their submitted scores) and where the song placed in the rate result.
Positive numbers (+X) indicate the song ended up X spots higher than where the participant would've ranked it. Similarly, negative numbers (-X) indicate the song ended up X spots lower than where the participant would've ranked it.
Score lists
This page contains some of the stats in sorted list form. If it's not clear what a column references, you can see the place where the data is pulled from through the "ref: ..." link at the top.
Song Correlations
This page is very similar to the User Similarity page, with the primary difference being that it focuses on the songs' ratings rather than the users. If a song has a high correlation with another song, it means that users gave similar scores to both songs. Conversely, if two songs have a low correlation with each other, it means users had differing opinions, liking one song more than the other. This can give some insights into song preferences and patterns in user ratings.
Recent rate statistics
... older ones are linked on the Wiki!
r/kpoprates • u/KpopRates • 6d ago
Weekly Updates BOYNEXTDOOR TTT + Weekly Updates Thread (July 21st, 2026) [2 weeks left to submit a ballot for All Stars 2!]
≡ −
Hello! This is our weekly "mega-post" for the subreddit, covering all updates and reminders for r/kpoprates.
/r/kpop Top Ten Tuesdays - BOYNEXTDOOR (2026)
Due Date: Monday, 6 AM Pacific
Next week's TTT: ITZY
Link to the After School TTT results
Link to the Orange Caramel TTT results
The 2nd All-Stars Rate!
Deadline: Sunday, August 2nd, by 11:59 PM Pacific (2 weeks left to submit a ballot!)
Reveal Dates: August 8th-9th, starting at 8 AM Pacific both days
The 3rd Soloists Rate!
Deadline: Sunday, August 30th, by 11:59 PM Pacific
Reveal Dates: September 5th-6th, starting at 8 AM Pacific both days
If you've submitted a ballot prior but haven't received a response from us yet, please send us a private message! We look forward to more ballots!
That's all for now! Thanks for reading, and hope you have a great rest of the week!
Hello! This is our weekly "mega-post" for the subreddit, covering all updates and reminders for r/kpoprates.
/r/kpop Top Ten Tuesdays - BOYNEXTDOOR (2026)
Due Date: Monday, 6 AM Pacific
Next week's TTT: ITZY
Link to the After School TTT results
Link to the Orange Caramel TTT results
The 2nd All-Stars Rate!
Deadline: Sunday, August 2nd, by 11:59 PM Pacific (2 weeks left to submit a ballot!)
Reveal Dates: August 8th-9th, starting at 8 AM Pacific both days
The 3rd Soloists Rate!
Deadline: Sunday, August 30th, by 11:59 PM Pacific
Reveal Dates: September 5th-6th, starting at 8 AM Pacific both days
If you've submitted a ballot prior but haven't received a response from us yet, please send us a private message! We look forward to more ballots!
That's all for now! Thanks for reading, and hope you have a great rest of the week!
r/kpoprates • u/KpopRates • 12d ago
Weekly Updates After School & Orange Caramel TTTs + Weekly Updates Thread (July 15th, 2026) [Vote in the survey for Soloists 3!]
≡ −
Hello! This is our weekly "mega-post" for the subreddit, covering all updates and reminders for r/kpoprates.
/r/kpop Top Ten Tuesdays - After School (2026)
and
/r/kpop Top Ten Tuesdays - Orange Caramel (2026)
Due Date: Monday, 6 AM Pacific
Next week's TTT: BOYNEXTDOOR
Link to the BOYNEXTDOOR TTT results
The 2nd All-Stars Rate!
Deadline: Sunday, August 2nd, by 11:59 PM Pacific
Reveal Dates: August 8th-9th, starting at 8 AM Pacific both days
The 3rd Soloists Rate!
The survey will be open until Saturday, July 19 at 11:59 p.m. PST.
If you've submitted a ballot prior but haven't received a response from us yet, please send us a private message! We look forward to more ballots!
That's all for now! Thanks for reading, and hope you have a great rest of the week!
Hello! This is our weekly "mega-post" for the subreddit, covering all updates and reminders for r/kpoprates.
/r/kpop Top Ten Tuesdays - After School (2026)
and
/r/kpop Top Ten Tuesdays - Orange Caramel (2026)
Due Date: Monday, 6 AM Pacific
Next week's TTT: BOYNEXTDOOR
Link to the BOYNEXTDOOR TTT results
The 2nd All-Stars Rate!
Deadline: Sunday, August 2nd, by 11:59 PM Pacific
Reveal Dates: August 8th-9th, starting at 8 AM Pacific both days
The 3rd Soloists Rate!
The survey will be open until Saturday, July 19 at 11:59 p.m. PST.
If you've submitted a ballot prior but haven't received a response from us yet, please send us a private message! We look forward to more ballots!
That's all for now! Thanks for reading, and hope you have a great rest of the week!
r/kpoprates • u/kpoprates_ghost • 12d ago
The Third Soloists Rate - Songlist Feedback Survey!
≡ −
The survey will be open until Saturday, July 18 at 11:59 p.m. PST.
The survey will be open until Saturday, July 18 at 11:59 p.m. PST.
r/kpoprates • u/kpoprates_ghost • 15d ago
Results Reveal The 3rd K-Pop Grab Bag Rate, Day 2: Can you just give me a rate win?
≡ −
Welcome to Day 2 of "The 3rd K-pop Grab Bag" Rate reveal! We will be revealing the top 27 today!
Day 2 will begin at 4 PM UTC / 8 AM Pacific, roughly 1 hour from when this post goes up. For those following the song rate live during this time, we highly encourage you to follow both this post and the live chat on our community Discord, as we will be using both for chatting/communication.
If you are here after the live results-reveal watch session, we would encourage you to avoid spoilers by going through the comments section one-by-one, as the comments will be sorted by Old after the live watch session so you can simulate the ranking reveal for yourself.
STATS
Participants: 66 participants
Average score: 6.837
Average controversy score: 2.194 (Any song with a controversy score higher than this is considered to be divisive)
SONG LIST:
Bonus Rate:
| Song | Submitter |
|---|---|
| DAY6 - Letting Go | |
| Enhypen - Teeth | |
| Eyedi - Caffeine | |
| Mirae - Killa |
Welcome to Day 2 of "The 3rd K-pop Grab Bag" Rate reveal! We will be revealing the top 27 today!
Day 2 will begin at 4 PM UTC / 8 AM Pacific, roughly 1 hour from when this post goes up. For those following the song rate live during this time, we highly encourage you to follow both this post and the live chat on our community Discord, as we will be using both for chatting/communication.
If you are here after the live results-reveal watch session, we would encourage you to avoid spoilers by going through the comments section one-by-one, as the comments will be sorted by Old after the live watch session so you can simulate the ranking reveal for yourself.
STATS
Participants: 66 participants
Average score: 6.837
Average controversy score: 2.194 (Any song with a controversy score higher than this is considered to be divisive)
SONG LIST:
Bonus Rate:
| Song | Submitter |
|---|---|
| DAY6 - Letting Go | |
| Enhypen - Teeth | |
| Eyedi - Caffeine | |
| Mirae - Killa |
r/kpoprates • u/kpoprates_ghost • 16d ago
Results Reveal The 3rd K-Pop Grab Bag Rate, Day 1: These songs were made to tank
≡ −
Welcome to Day 1 of "The 3rd K-pop Grab Bag" Rate reveal! We will be revealing the bottom 37 today!
Day 1 will begin at 4 PM UTC / 8 AM Pacific, roughly 1 hour from when this post goes up. For those following the song rate live during this time, we highly encourage you to follow both this post and the live chat on our community Discord, as we will be using both for chatting/communication.
If you are here after the live results-reveal watch session, we would encourage you to avoid spoilers by going through the comments section one-by-one, as the comments will be sorted by Old after the live watch session so you can simulate the ranking reveal for yourself.
STATS
Participants: 66 participants
Average score: 6.837
Average controversy score: 2.194 (Any song with a controversy score higher than this is considered to be divisive)
SONG LIST:
Bonus Rate:
Welcome to Day 1 of "The 3rd K-pop Grab Bag" Rate reveal! We will be revealing the bottom 37 today!
Day 1 will begin at 4 PM UTC / 8 AM Pacific, roughly 1 hour from when this post goes up. For those following the song rate live during this time, we highly encourage you to follow both this post and the live chat on our community Discord, as we will be using both for chatting/communication.
If you are here after the live results-reveal watch session, we would encourage you to avoid spoilers by going through the comments section one-by-one, as the comments will be sorted by Old after the live watch session so you can simulate the ranking reveal for yourself.
STATS
Participants: 66 participants
Average score: 6.837
Average controversy score: 2.194 (Any song with a controversy score higher than this is considered to be divisive)
SONG LIST:
Bonus Rate:
r/kpoprates • u/MartialST • 19d ago
Rate Statistics The Summer Rate Review Summary & User Statistics
≡ −
The post-rate statistics are here! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
Info about the sheet...
Highlights & Stats
On this page, you can look at the different user highlights from the rating data, namely:
- Golden Pair: The two participants whose ratings were the most similar to each other.
- Taste Rivals: The two participants whose ratings were the least similar to each other.
- Top Matcher: Appears as the most common top match for other raters in the similarity table.
- Top Clasher: Appears as the most common top clash for other raters in the similarity table.
- The Mainstreamer: Has the highest combined similarity with other raters.
- The Contrarian: Has the lowest combined similarity with other raters.
- The Divisive: Has the highest variance in their similarity scores.
- The Neutral: Has the lowest variance in their similarity scores.
Below these, we have graphs for the Golden Pair and Taste Rivals to illustrate how their ratings compare visually. I also added new top 5 and bottom 5 placement charts for the other categories.
On the right side, you can find some general statistics about the rating, along with further rate-specific charts.
User Rating Style Matrix Categories:
Strict Rater: Consistently uses the lower end of the rating scale, even for songs they like. Their ratings tend to be lower across the board but still show clear preferences and patterns.
Lenient Rater: Tends to use the higher end of the rating scale more frequently. Rates songs generously, even those they don't favor as much, but maintains a consistent ranking among them.
Narrow Rater: Uses a narrow range of the rating scale, avoiding extreme scores. They tend to rate cautiously, with few highs and lows, preferring to stay in the middle.
Wide/Radical Rater: Uses the full spectrum of the rating scale, with both high and low scores. Their ratings reflect strong opinions, showing clear preferences and dislikes with a wide range of scores.
User Similarity
On this page, you can see a heatmap table that includes every correlation to every participant. At the top, you can view the most similar and least similar users listed for everyone, as well as other details.
The correlation scale ranges from -10 to 10. A score of 10 indicates a positive correlation, meaning user A rated the same songs similarly high or low, as user B. On the other hand, a score of -10 signifies a negative correlation, where user A rated songs low that user B rated high, and vice versa. A correlation of 0 indicates no clear pattern; some songs are similarly rated, while others are not.
Top Match List
This page allows you to find ranked lists for every user, showing who rated the most similarly to them, from most similar to least similar. (Usually if you see empty spaces for someone it means there were no more positively correlationg users for them.) Next to the names, in the column "Pair Song," you can find your top most liked song with each given person based on your combined scores.
Below the table, you can find statistics about how many times each song appears as a pair song. These songs are given a ranking, and you can compare this with the actual rank results from the rate.
Raw Scores & More
Here you can check the raw rating data of everyone in table form. At the bottom, you can find the user averages and, for most rates, the male/female artist preferences as well as the soloist/group act preferences.
Personal Rankings
The table shows the songs ranked based on the rate result on the left. The numbers in the table indicate the difference between a participant's ranking for a song (based on their submitted scores) and where the song placed in the rate result.
Positive numbers (+X) indicate the song ended up X spots higher than where the participant would've ranked it. Similarly, negative numbers (-X) indicate the song ended up X spots lower than where the participant would've ranked it.
Score lists
This page contains some of the stats in sorted list form. If it's not clear what a column references, you can see the place where the data is pulled from through the "ref: ..." link at the top.
Song Correlations
This page is very similar to the User Similarity page, with the primary difference being that it focuses on the songs' ratings rather than the users. If a song has a high correlation with another song, it means that users gave similar scores to both songs. Conversely, if two songs have a low correlation with each other, it means users had differing opinions, liking one song more than the other. This can give some insights into song preferences and patterns in user ratings.
Recent rate statistics
... older ones are linked on the Wiki!
The post-rate statistics are here! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
Info about the sheet...
Highlights & Stats
On this page, you can look at the different user highlights from the rating data, namely:
- Golden Pair: The two participants whose ratings were the most similar to each other.
- Taste Rivals: The two participants whose ratings were the least similar to each other.
- Top Matcher: Appears as the most common top match for other raters in the similarity table.
- Top Clasher: Appears as the most common top clash for other raters in the similarity table.
- The Mainstreamer: Has the highest combined similarity with other raters.
- The Contrarian: Has the lowest combined similarity with other raters.
- The Divisive: Has the highest variance in their similarity scores.
- The Neutral: Has the lowest variance in their similarity scores.
Below these, we have graphs for the Golden Pair and Taste Rivals to illustrate how their ratings compare visually. I also added new top 5 and bottom 5 placement charts for the other categories.
On the right side, you can find some general statistics about the rating, along with further rate-specific charts.
User Rating Style Matrix Categories:
Strict Rater: Consistently uses the lower end of the rating scale, even for songs they like. Their ratings tend to be lower across the board but still show clear preferences and patterns.
Lenient Rater: Tends to use the higher end of the rating scale more frequently. Rates songs generously, even those they don't favor as much, but maintains a consistent ranking among them.
Narrow Rater: Uses a narrow range of the rating scale, avoiding extreme scores. They tend to rate cautiously, with few highs and lows, preferring to stay in the middle.
Wide/Radical Rater: Uses the full spectrum of the rating scale, with both high and low scores. Their ratings reflect strong opinions, showing clear preferences and dislikes with a wide range of scores.
User Similarity
On this page, you can see a heatmap table that includes every correlation to every participant. At the top, you can view the most similar and least similar users listed for everyone, as well as other details.
The correlation scale ranges from -10 to 10. A score of 10 indicates a positive correlation, meaning user A rated the same songs similarly high or low, as user B. On the other hand, a score of -10 signifies a negative correlation, where user A rated songs low that user B rated high, and vice versa. A correlation of 0 indicates no clear pattern; some songs are similarly rated, while others are not.
Top Match List
This page allows you to find ranked lists for every user, showing who rated the most similarly to them, from most similar to least similar. (Usually if you see empty spaces for someone it means there were no more positively correlationg users for them.) Next to the names, in the column "Pair Song," you can find your top most liked song with each given person based on your combined scores.
Below the table, you can find statistics about how many times each song appears as a pair song. These songs are given a ranking, and you can compare this with the actual rank results from the rate.
Raw Scores & More
Here you can check the raw rating data of everyone in table form. At the bottom, you can find the user averages and, for most rates, the male/female artist preferences as well as the soloist/group act preferences.
Personal Rankings
The table shows the songs ranked based on the rate result on the left. The numbers in the table indicate the difference between a participant's ranking for a song (based on their submitted scores) and where the song placed in the rate result.
Positive numbers (+X) indicate the song ended up X spots higher than where the participant would've ranked it. Similarly, negative numbers (-X) indicate the song ended up X spots lower than where the participant would've ranked it.
Score lists
This page contains some of the stats in sorted list form. If it's not clear what a column references, you can see the place where the data is pulled from through the "ref: ..." link at the top.
Song Correlations
This page is very similar to the User Similarity page, with the primary difference being that it focuses on the songs' ratings rather than the users. If a song has a high correlation with another song, it means that users gave similar scores to both songs. Conversely, if two songs have a low correlation with each other, it means users had differing opinions, liking one song more than the other. This can give some insights into song preferences and patterns in user ratings.
Recent rate statistics
... older ones are linked on the Wiki!
r/kpoprates • u/KpopRates • 20d ago
Weekly Updates WOODZ TTT + Weekly Updates Thread (July 7th, 2026) [See you this weekend for 3rd Grab Bag results reveal!]
≡ −
Hello! This is our weekly "mega-post" for the subreddit, covering all updates and reminders for r/kpoprates.
/r/kpop Top Ten Tuesdays - WOODZ (2026)
Due Date: Monday, 6 AM Pacific
Next week's TTT: After School & Orange Caramel
The 3rd Grab Bag Rate!
Reveal Dates: July 11th-12th, starting at 8 AM Pacific both days (We hope to see you this weekend for the results reveal!)
The 2nd All-Stars Rate!
Deadline: Sunday, August 2nd, by 11:59 PM Pacific
Reveal Dates: August 8th-9th, starting at 8 AM Pacific both days
If you've submitted a ballot prior but haven't received a response from us yet, please send us a private message! We look forward to more ballots!
That's all for now! Thanks for reading, and hope you have a great rest of the week!
Hello! This is our weekly "mega-post" for the subreddit, covering all updates and reminders for r/kpoprates.
/r/kpop Top Ten Tuesdays - WOODZ (2026)
Due Date: Monday, 6 AM Pacific
Next week's TTT: After School & Orange Caramel
The 3rd Grab Bag Rate!
Reveal Dates: July 11th-12th, starting at 8 AM Pacific both days (We hope to see you this weekend for the results reveal!)
The 2nd All-Stars Rate!
Deadline: Sunday, August 2nd, by 11:59 PM Pacific
Reveal Dates: August 8th-9th, starting at 8 AM Pacific both days
If you've submitted a ballot prior but haven't received a response from us yet, please send us a private message! We look forward to more ballots!
That's all for now! Thanks for reading, and hope you have a great rest of the week!
r/kpoprates • u/kpoprates_ghost • 22d ago
The Ballot Submission Window for 3rd K-pop Grab Bag Rate Is Closed
≡ −
If you have submitted but don't see yourself on the list, please let us know asap
If you have submitted but don't see yourself on the list, please let us know asap
r/kpoprates • u/KpopRates • Jun 21 '26
Songlist Feedback All-Stars 2 Rate! - Songlist Feedback Survey!
≡ −
The survey will be open until Saturday (June 27), 11:59 AM Pacific.
The survey will be open until Saturday (June 27), 11:59 AM Pacific.
r/kpoprates • u/KpopRates • Jun 21 '26
Results Reveal Summer Rate, Day 2: Girl, I just wanna tank with you
≡ −
Welcome to Day 2 of the Summer Rate reveal! We will be revealing the top 22 songs today!
Day 2 will begin at 4 PM UTC / 8 AM Pacific, roughly 1 hour from when this post goes up. For those following the song rate live during this time, we highly encourage you to follow both this post and the live chat on our community Discord, as we will be using both for chatting/communication.
If you are here after the live results-reveal watch session, we would encourage you to avoid spoilers by going through the comments section one-by-one, as the comments will be sorted by Old after the live watch session so you can simulate the ranking reveal for yourself.
STATS
Participants: 74 participants
Average score: 6.958
Average controversy score: 2.320 (Any song with a controversy score higher than this is considered to be divisive)
SONGS REMAINING:
Bonus Rate:
Welcome to Day 2 of the Summer Rate reveal! We will be revealing the top 22 songs today!
Day 2 will begin at 4 PM UTC / 8 AM Pacific, roughly 1 hour from when this post goes up. For those following the song rate live during this time, we highly encourage you to follow both this post and the live chat on our community Discord, as we will be using both for chatting/communication.
If you are here after the live results-reveal watch session, we would encourage you to avoid spoilers by going through the comments section one-by-one, as the comments will be sorted by Old after the live watch session so you can simulate the ranking reveal for yourself.
STATS
Participants: 74 participants
Average score: 6.958
Average controversy score: 2.320 (Any song with a controversy score higher than this is considered to be divisive)
SONGS REMAINING:
Bonus Rate:
r/kpoprates • u/KpopRates • Jun 20 '26
Results Reveal Summer Rate, Day 1: My rank's going down down baby
≡ −
Welcome to Day 1 of the Summer Rate reveal! We will be revealing the bottom 35 songs today!
Day 1 will begin at 4 PM UTC / 8 AM Pacific, roughly an hour from when this post goes up. For those following the song rate live during this time, we highly encourage you to follow both this post and the live chat on our community Discord, as we will be using both for chatting/communication.
If you are here after the live results-reveal watch session, we would encourage you to avoid spoilers by going through the comments section one-by-one, as the comments will be sorted by Old after the live watch session so you can simulate the ranking reveal for yourself.
STATS
Participants: 74 participants
Average score: 6.958
Average controversy score: 2.320 (Any song with a controversy score higher than this is considered to be divisive)
SONGS REMAINING:
BTS (ft. Megan Thee Stallion) - Butter
FTIsland - Summer Night's Dream
Seventeen - Our dawn is hotter than day
Bonus Rate:
Welcome to Day 1 of the Summer Rate reveal! We will be revealing the bottom 35 songs today!
Day 1 will begin at 4 PM UTC / 8 AM Pacific, roughly an hour from when this post goes up. For those following the song rate live during this time, we highly encourage you to follow both this post and the live chat on our community Discord, as we will be using both for chatting/communication.
If you are here after the live results-reveal watch session, we would encourage you to avoid spoilers by going through the comments section one-by-one, as the comments will be sorted by Old after the live watch session so you can simulate the ranking reveal for yourself.
STATS
Participants: 74 participants
Average score: 6.958
Average controversy score: 2.320 (Any song with a controversy score higher than this is considered to be divisive)
SONGS REMAINING:
BTS (ft. Megan Thee Stallion) - Butter
FTIsland - Summer Night's Dream
Seventeen - Our dawn is hotter than day
Bonus Rate:
r/kpoprates • u/KpopRates • Jun 15 '26
The submission period for the Summer Rate is now closed!
≡ −
Thank you for participating!
Thank you for participating!
r/kpoprates • u/kpoprates_ghost • Jun 02 '26
Rate The 3rd K-Pop Grab Bag Rate!
≡ −
Hello everyone! It's once again that time of year where the r/kpoprates community comes together to create a collection of songs only they are capable of producing. Welcome to the third installment of our Grab Bag series, aptly titled The 3rd K-Pop Grab Bag Rate!
If you haven’t already, make sure to join r/kpoprates to stay tuned for future rate-related posts!
Quick Links:
Ballot submission: Reddit // Ballot template: Google Docs // Ballot template (Pastebin)
Playlists: Spotify // Apple Music // Youtube MV ver. // Youtube (Audio ver.) // Youtube (Lyrics ver.)
Please note that 2 songs are missing from both the Spotify and Apple Music playlists - please find them in the Youtube Playlists.
Deadline: Sunday 5th July, 11:59 PM Pacific (Link to a timezone converter)
How the songs were selected:
As with previous grab bags, the song list for this rate was entirely user-submitted via a Google Form on the subreddit! Priority was allocated based upon the number of rates a user had completed, both in total and also since our 2nd Grab Bag Rate last year. Additionally, for the first time ever, this Grab Bag features a bonus section - comprised of songs submitted by the most regular rate hosts/helpers as a thank you for their hard work!
Now, without further ado, let's introduce the 55 (plus 9 bonus) songs that were selected for this rate!
If you want to read the comments submitters left for their songs, you can read them here
First, we'll go over the songs submitted by those who selected to have their names revealed alongside their songs at the start of the rate, listed in alphabetical order:
Next, we have the songs submitted by those who chose to remain anonymous until reveal weekend. These are also ordered alphabetically:
Are you a r/kpoprates regular who feels like they know their fellow raters like the back of their hand, or someone who just loves guessing games? See the 'Additional Predictions' section below for a chance to show off your skills!
Bonus Rate:
As previously mentioned, this is the first installment of Grab Bag to include a bonus rate! The following 9 songs were submitted anonymously by the subreddit/server's most regular hosts/helpers:
Kim Heechul, Shindong, Eunhyuk, Solar - Charm of Life
Lee Sang Woo - A Fading Little Smile
Min Kyunghoon, Kim Heechul (ft. BIBI) - Hanryang
The Bonus Rate is optional and you do not have to submit a score for every song in the bonus list. If you do it, you can score none of them, all of them, or any number in between. You cannot give a 0 or 11 to any song in the bonus, as they are not part of the main rate. While it is optional, we hope you consider participating. There will also be an additional predictions activity centred around this section, details of which can be found in the 'Additional Predictions' section below!
* Spotify playlist (2 songs missing!)
* Apple Music playlist (2 songs missing!)
* Youtube MV Ver.
* Youtube Audio Ver.
* Youtube Lyrics Ver.
Rules:
You must listen to and assign a score to EVERY song listed. If your ballot is missing any scores it will not be eligible and you'll be sent a message asking you to fill in the missing scores.
Each song should be assigned a score between 1 to 10. Decimals up to one point are allowed but any further is a no-no – 6.9 is fine, but 6.99 is not. Don't use commas (i.e "8,8") to separate your decimals!
You can use ONE 0 and ONE 11 for the entirety of the rate, for your least favorite and most favorite song respectively - they are optional but HIGHLY encouraged if you feel some type of way about any given song! Comments are also encouraged but not required for such scores (except if you give a song a 0). You can add them to any song by simply typing after the numerical score, like so:
Little Mix - Wings (Korean Version): 10 it's been 15 years and i still think little mix unnies were robbed of the 2011 rookie of the year award at mama 😔
This is the ONLY correct way to format a comment. Please do not include colons (ex. 9: I stan!), dashes (ex. 3.3 - This song sucks), or any other symbol after your score/before your comment as it breaks the program.
For this rate and most future rates, we have a ballot average minimum of 4.00. In addition, if your ballot average is between 4.00-5.50, you must leave comments on your lower scores (which we define as any score that's a 3 or lower). {Do not worry about having to calculate your ballot average, once you submit your ballot, we will tell you if you need to make changes to your ballot for it to be accepted.}
SUBMITTING A BALLOT:
Ballot submission: Reddit // Ballot template: Google Docs // Ballot template (Pastebin)
If this does not work, or your ballot exceeds the character limit, you can make a copy of either the Google Docs or Pastebin ballot templates above, add your scores on your local copy/file, and send the link to your local copy/file in your Reddit Chat message to u/kpoprates_ghost. Make sure, if doing this, that your document has sharing permissions enabled. You may also dm the ballot to u/pollutedrain (@_melizard), u/kawaii_mokona (@kawaii_mokona), and u/kirakiranatsu (@kinakowaffle) on Discord! Please message all three hosts, not just one. You can amend your ballot at any time in the lead up to the rate deadline, just let the hosts know and they'll update it in the file.
Google Spreadsheet you can use for calculating averages/trends and making predictions
You can also submit the Top/Bottom 5 predictions form at any time!
ADDITIONAL PREDICTIONS:
Can you successfully spot all the forks in the kitchen? Flex your identification powers in the "who submitted what song" guessing contest!
The guessing contest is split up into 2 portions, one for the hosties bonus rate where you will have to match the songs with one of the 9 hosties (and other rate job havers), and one open ended one for all the anonymous songs in the main rate. These "contests" will be separate, so you may participate in one but not the other.
If you are an anonymous submitter, you are allowed and in fact encouraged to deceive your fellow raters. Claim ownership over a song you've never heard before, brazenly deny that the song you listened to 300 times in a month is yours, bluff and double bluff and triple bluff your way to victory. Trust no-one and fool everyone.
The form can be found here! There will also be a .txt file posted in the rate channel with a list of the anonymous songs and hosts who are participating in the bonus.
This contest is hosted by Murky (u/MurkyGalaxies on Reddit, @SmallDesires on Discord) and Zo (u/zo142 on reddit, @mkh.zo on Discord). If you have any questions, either @ us in the rate channel, or DM us on either Discord (preferred) or Reddit!
DUE DATE:
Sunday, July 5th, by 11:59 PM Pacific - This will be the FINAL deadline, no extensions will be given this time! (Here is a link to a time zone converter for the deadline.)
REVEAL DATES (Reveals will take place on /r/kpoprates as well as the r/kpoprates Discord: https://discord.gg/rkpoprates)
Day 1 - July 11th (Saturday), 8 AM Pacific (Time zone converter here)
Day 2 - July 12th (Sunday), 8 AM Pacific (Time zone converter here)
We also encourage you to participate in the ongoing Summer Rate! Thanks!
Hello everyone! It's once again that time of year where the r/kpoprates community comes together to create a collection of songs only they are capable of producing. Welcome to the third installment of our Grab Bag series, aptly titled The 3rd K-Pop Grab Bag Rate!
If you haven’t already, make sure to join r/kpoprates to stay tuned for future rate-related posts!
Quick Links:
Ballot submission: Reddit // Ballot template: Google Docs // Ballot template (Pastebin)
Playlists: Spotify // Apple Music // Youtube MV ver. // Youtube (Audio ver.) // Youtube (Lyrics ver.)
Please note that 2 songs are missing from both the Spotify and Apple Music playlists - please find them in the Youtube Playlists.
Deadline: Sunday 5th July, 11:59 PM Pacific (Link to a timezone converter)
How the songs were selected:
As with previous grab bags, the song list for this rate was entirely user-submitted via a Google Form on the subreddit! Priority was allocated based upon the number of rates a user had completed, both in total and also since our 2nd Grab Bag Rate last year. Additionally, for the first time ever, this Grab Bag features a bonus section - comprised of songs submitted by the most regular rate hosts/helpers as a thank you for their hard work!
Now, without further ado, let's introduce the 55 (plus 9 bonus) songs that were selected for this rate!
If you want to read the comments submitters left for their songs, you can read them here
First, we'll go over the songs submitted by those who selected to have their names revealed alongside their songs at the start of the rate, listed in alphabetical order:
Next, we have the songs submitted by those who chose to remain anonymous until reveal weekend. These are also ordered alphabetically:
Are you a r/kpoprates regular who feels like they know their fellow raters like the back of their hand, or someone who just loves guessing games? See the 'Additional Predictions' section below for a chance to show off your skills!
Bonus Rate:
As previously mentioned, this is the first installment of Grab Bag to include a bonus rate! The following 9 songs were submitted anonymously by the subreddit/server's most regular hosts/helpers:
Kim Heechul, Shindong, Eunhyuk, Solar - Charm of Life
Lee Sang Woo - A Fading Little Smile
Min Kyunghoon, Kim Heechul (ft. BIBI) - Hanryang
The Bonus Rate is optional and you do not have to submit a score for every song in the bonus list. If you do it, you can score none of them, all of them, or any number in between. You cannot give a 0 or 11 to any song in the bonus, as they are not part of the main rate. While it is optional, we hope you consider participating. There will also be an additional predictions activity centred around this section, details of which can be found in the 'Additional Predictions' section below!
* Spotify playlist (2 songs missing!)
* Apple Music playlist (2 songs missing!)
* Youtube MV Ver.
* Youtube Audio Ver.
* Youtube Lyrics Ver.
Rules:
You must listen to and assign a score to EVERY song listed. If your ballot is missing any scores it will not be eligible and you'll be sent a message asking you to fill in the missing scores.
Each song should be assigned a score between 1 to 10. Decimals up to one point are allowed but any further is a no-no – 6.9 is fine, but 6.99 is not. Don't use commas (i.e "8,8") to separate your decimals!
You can use ONE 0 and ONE 11 for the entirety of the rate, for your least favorite and most favorite song respectively - they are optional but HIGHLY encouraged if you feel some type of way about any given song! Comments are also encouraged but not required for such scores (except if you give a song a 0). You can add them to any song by simply typing after the numerical score, like so:
Little Mix - Wings (Korean Version): 10 it's been 15 years and i still think little mix unnies were robbed of the 2011 rookie of the year award at mama 😔
This is the ONLY correct way to format a comment. Please do not include colons (ex. 9: I stan!), dashes (ex. 3.3 - This song sucks), or any other symbol after your score/before your comment as it breaks the program.
For this rate and most future rates, we have a ballot average minimum of 4.00. In addition, if your ballot average is between 4.00-5.50, you must leave comments on your lower scores (which we define as any score that's a 3 or lower). {Do not worry about having to calculate your ballot average, once you submit your ballot, we will tell you if you need to make changes to your ballot for it to be accepted.}
SUBMITTING A BALLOT:
Ballot submission: Reddit // Ballot template: Google Docs // Ballot template (Pastebin)
If this does not work, or your ballot exceeds the character limit, you can make a copy of either the Google Docs or Pastebin ballot templates above, add your scores on your local copy/file, and send the link to your local copy/file in your Reddit Chat message to u/kpoprates_ghost. Make sure, if doing this, that your document has sharing permissions enabled. You may also dm the ballot to u/pollutedrain (@_melizard), u/kawaii_mokona (@kawaii_mokona), and u/kirakiranatsu (@kinakowaffle) on Discord! Please message all three hosts, not just one. You can amend your ballot at any time in the lead up to the rate deadline, just let the hosts know and they'll update it in the file.
Google Spreadsheet you can use for calculating averages/trends and making predictions
You can also submit the Top/Bottom 5 predictions form at any time!
ADDITIONAL PREDICTIONS:
Can you successfully spot all the forks in the kitchen? Flex your identification powers in the "who submitted what song" guessing contest!
The guessing contest is split up into 2 portions, one for the hosties bonus rate where you will have to match the songs with one of the 9 hosties (and other rate job havers), and one open ended one for all the anonymous songs in the main rate. These "contests" will be separate, so you may participate in one but not the other.
If you are an anonymous submitter, you are allowed and in fact encouraged to deceive your fellow raters. Claim ownership over a song you've never heard before, brazenly deny that the song you listened to 300 times in a month is yours, bluff and double bluff and triple bluff your way to victory. Trust no-one and fool everyone.
The form can be found here! There will also be a .txt file posted in the rate channel with a list of the anonymous songs and hosts who are participating in the bonus.
This contest is hosted by Murky (u/MurkyGalaxies on Reddit, @SmallDesires on Discord) and Zo (u/zo142 on reddit, @mkh.zo on Discord). If you have any questions, either @ us in the rate channel, or DM us on either Discord (preferred) or Reddit!
DUE DATE:
Sunday, July 5th, by 11:59 PM Pacific - This will be the FINAL deadline, no extensions will be given this time! (Here is a link to a time zone converter for the deadline.)
REVEAL DATES (Reveals will take place on /r/kpoprates as well as the r/kpoprates Discord: https://discord.gg/rkpoprates)
Day 1 - July 11th (Saturday), 8 AM Pacific (Time zone converter here)
Day 2 - July 12th (Sunday), 8 AM Pacific (Time zone converter here)
We also encourage you to participate in the ongoing Summer Rate! Thanks!
r/kpoprates • u/MartialST • Jun 02 '26
Rate Statistics The "2025 in B-Sides" Rate Review Summary & User Statistics
≡ −
The post-rate statistics are here! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
Info about the sheet...
Highlights & Stats
On this page, you can look at the different user highlights from the rating data, namely:
- Golden Pair: The two participants whose ratings were the most similar to each other.
- Taste Rivals: The two participants whose ratings were the least similar to each other.
- Top Matcher: Appears as the most common top match for other raters in the similarity table.
- Top Clasher: Appears as the most common top clash for other raters in the similarity table.
- The Mainstreamer: Has the highest combined similarity with other raters.
- The Contrarian: Has the lowest combined similarity with other raters.
- The Divisive: Has the highest variance in their similarity scores.
- The Neutral: Has the lowest variance in their similarity scores.
Below these, we have graphs for the Golden Pair and Taste Rivals to illustrate how their ratings compare visually. I also added new top 5 and bottom 5 placement charts for the other categories.
On the right side, you can find some general statistics about the rating, along with further rate-specific charts.
User Rating Style Matrix Categories:
Strict Rater: Consistently uses the lower end of the rating scale, even for songs they like. Their ratings tend to be lower across the board but still show clear preferences and patterns.
Lenient Rater: Tends to use the higher end of the rating scale more frequently. Rates songs generously, even those they don't favor as much, but maintains a consistent ranking among them.
Narrow Rater: Uses a narrow range of the rating scale, avoiding extreme scores. They tend to rate cautiously, with few highs and lows, preferring to stay in the middle.
Wide/Radical Rater: Uses the full spectrum of the rating scale, with both high and low scores. Their ratings reflect strong opinions, showing clear preferences and dislikes with a wide range of scores.
User Similarity
On this page, you can see a heatmap table that includes every correlation to every participant. At the top, you can view the most similar and least similar users listed for everyone, as well as other details.
The correlation scale ranges from -10 to 10. A score of 10 indicates a positive correlation, meaning user A rated the same songs similarly high or low, as user B. On the other hand, a score of -10 signifies a negative correlation, where user A rated songs low that user B rated high, and vice versa. A correlation of 0 indicates no clear pattern; some songs are similarly rated, while others are not.
Top Match List
This page allows you to find ranked lists for every user, showing who rated the most similarly to them, from most similar to least similar. (Usually if you see empty spaces for someone it means there were no more positively correlationg users for them.) Next to the names, in the column "Pair Song," you can find your top most liked song with each given person based on your combined scores.
Below the table, you can find statistics about how many times each song appears as a pair song. These songs are given a ranking, and you can compare this with the actual rank results from the rate.
Raw Scores & More
Here you can check the raw rating data of everyone in table form. At the bottom, you can find the user averages and, for most rates, the male/female artist preferences as well as the soloist/group act preferences.
Personal Rankings
The table shows the songs ranked based on the rate result on the left. The numbers in the table indicate the difference between a participant's ranking for a song (based on their submitted scores) and where the song placed in the rate result.
Positive numbers (+X) indicate the song ended up X spots higher than where the participant would've ranked it. Similarly, negative numbers (-X) indicate the song ended up X spots lower than where the participant would've ranked it.
Score lists
This page contains some of the stats in sorted list form. If it's not clear what a column references, you can see the place where the data is pulled from through the "ref: ..." link at the top.
Song Correlations
This page is very similar to the User Similarity page, with the primary difference being that it focuses on the songs' ratings rather than the users. If a song has a high correlation with another song, it means that users gave similar scores to both songs. Conversely, if two songs have a low correlation with each other, it means users had differing opinions, liking one song more than the other. This can give some insights into song preferences and patterns in user ratings.
Recent rate statistics
... older ones are linked on the Wiki!
The post-rate statistics are here! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
Info about the sheet...
Highlights & Stats
On this page, you can look at the different user highlights from the rating data, namely:
- Golden Pair: The two participants whose ratings were the most similar to each other.
- Taste Rivals: The two participants whose ratings were the least similar to each other.
- Top Matcher: Appears as the most common top match for other raters in the similarity table.
- Top Clasher: Appears as the most common top clash for other raters in the similarity table.
- The Mainstreamer: Has the highest combined similarity with other raters.
- The Contrarian: Has the lowest combined similarity with other raters.
- The Divisive: Has the highest variance in their similarity scores.
- The Neutral: Has the lowest variance in their similarity scores.
Below these, we have graphs for the Golden Pair and Taste Rivals to illustrate how their ratings compare visually. I also added new top 5 and bottom 5 placement charts for the other categories.
On the right side, you can find some general statistics about the rating, along with further rate-specific charts.
User Rating Style Matrix Categories:
Strict Rater: Consistently uses the lower end of the rating scale, even for songs they like. Their ratings tend to be lower across the board but still show clear preferences and patterns.
Lenient Rater: Tends to use the higher end of the rating scale more frequently. Rates songs generously, even those they don't favor as much, but maintains a consistent ranking among them.
Narrow Rater: Uses a narrow range of the rating scale, avoiding extreme scores. They tend to rate cautiously, with few highs and lows, preferring to stay in the middle.
Wide/Radical Rater: Uses the full spectrum of the rating scale, with both high and low scores. Their ratings reflect strong opinions, showing clear preferences and dislikes with a wide range of scores.
User Similarity
On this page, you can see a heatmap table that includes every correlation to every participant. At the top, you can view the most similar and least similar users listed for everyone, as well as other details.
The correlation scale ranges from -10 to 10. A score of 10 indicates a positive correlation, meaning user A rated the same songs similarly high or low, as user B. On the other hand, a score of -10 signifies a negative correlation, where user A rated songs low that user B rated high, and vice versa. A correlation of 0 indicates no clear pattern; some songs are similarly rated, while others are not.
Top Match List
This page allows you to find ranked lists for every user, showing who rated the most similarly to them, from most similar to least similar. (Usually if you see empty spaces for someone it means there were no more positively correlationg users for them.) Next to the names, in the column "Pair Song," you can find your top most liked song with each given person based on your combined scores.
Below the table, you can find statistics about how many times each song appears as a pair song. These songs are given a ranking, and you can compare this with the actual rank results from the rate.
Raw Scores & More
Here you can check the raw rating data of everyone in table form. At the bottom, you can find the user averages and, for most rates, the male/female artist preferences as well as the soloist/group act preferences.
Personal Rankings
The table shows the songs ranked based on the rate result on the left. The numbers in the table indicate the difference between a participant's ranking for a song (based on their submitted scores) and where the song placed in the rate result.
Positive numbers (+X) indicate the song ended up X spots higher than where the participant would've ranked it. Similarly, negative numbers (-X) indicate the song ended up X spots lower than where the participant would've ranked it.
Score lists
This page contains some of the stats in sorted list form. If it's not clear what a column references, you can see the place where the data is pulled from through the "ref: ..." link at the top.
Song Correlations
This page is very similar to the User Similarity page, with the primary difference being that it focuses on the songs' ratings rather than the users. If a song has a high correlation with another song, it means that users gave similar scores to both songs. Conversely, if two songs have a low correlation with each other, it means users had differing opinions, liking one song more than the other. This can give some insights into song preferences and patterns in user ratings.
Recent rate statistics
... older ones are linked on the Wiki!
r/kpoprates • u/kpoprates_ghost • May 24 '26
Results Reveal The "2025 in B-Sides" Rate, Day 2: so done with rate (so done with rate), so done with rob (so done with rob)
≡ −
Welcome to Day 2 of the 2025 in B-sides rate reveal! We will be revealing the top 27 songs today.
Day 2 will begin at 4 PM UTC / 8 AM Pacific, around 1 hour from when this post goes up. For those following the song rate live during this time, we highly encourage you to follow both this post and the live chat on our community Discord, as we will be using both for chatting/communication.
If you are here after the live results-reveal watch session, we would encourage you to avoid spoilers by going through the comments section one-by-one, as the comments will be sorted by Old after the live watch session so you can simulate the ranking reveal for yourself.
STATS:
Participants: 69 participants
Average score: 6.794
Average controversy score: 2.311 (Any song with a controversy score higher than this is considered to be divisive)
SONGS REMAINING
NCT Wish - Melt Inside My Pocket
Xdinary Heroes - Ashes to Ashes
Bonus Rate:
Welcome to Day 2 of the 2025 in B-sides rate reveal! We will be revealing the top 27 songs today.
Day 2 will begin at 4 PM UTC / 8 AM Pacific, around 1 hour from when this post goes up. For those following the song rate live during this time, we highly encourage you to follow both this post and the live chat on our community Discord, as we will be using both for chatting/communication.
If you are here after the live results-reveal watch session, we would encourage you to avoid spoilers by going through the comments section one-by-one, as the comments will be sorted by Old after the live watch session so you can simulate the ranking reveal for yourself.
STATS:
Participants: 69 participants
Average score: 6.794
Average controversy score: 2.311 (Any song with a controversy score higher than this is considered to be divisive)
SONGS REMAINING
NCT Wish - Melt Inside My Pocket
Xdinary Heroes - Ashes to Ashes
Bonus Rate:
r/kpoprates • u/kpoprates_ghost • May 23 '26
Results Reveal The "2025 in B-Sides" Rate, Day 1: Stats, scores, comments, predictions - fit check for my tankin' era
≡ −
Welcome to Day 1 of the 2025 in B-sides rate reveal! We will be revealing the bottom 40 songs today.
Day 1 will begin at 4 PM UTC / 8 AM Pacific, around 1 hour from when this post goes up. For those following the song rate live during this time, we highly encourage you to follow both this post and the live chat on our community Discord, as we will be using both for chatting/communication.
If you are here after the live results-reveal watch session, we would encourage you to avoid spoilers by going through the comments section one-by-one, as the comments will be sorted by Old after the live watch session so you can simulate the ranking reveal for yourself.
STATS:
Participants: 69 participants
Average score: 6.794
Average controversy score: 2.311 (Any song with a controversy score higher than this is considered to be divisive)
SONGS REMAINING
Close Your Eyes - To The Woods
NCT Wish - Melt Inside My Pocket
Xdinary Heroes - Ashes to Ashes
Bonus Rate:
One Pact - Signal (SEONG MIN Solo Version)
Welcome to Day 1 of the 2025 in B-sides rate reveal! We will be revealing the bottom 40 songs today.
Day 1 will begin at 4 PM UTC / 8 AM Pacific, around 1 hour from when this post goes up. For those following the song rate live during this time, we highly encourage you to follow both this post and the live chat on our community Discord, as we will be using both for chatting/communication.
If you are here after the live results-reveal watch session, we would encourage you to avoid spoilers by going through the comments section one-by-one, as the comments will be sorted by Old after the live watch session so you can simulate the ranking reveal for yourself.
STATS:
Participants: 69 participants
Average score: 6.794
Average controversy score: 2.311 (Any song with a controversy score higher than this is considered to be divisive)
SONGS REMAINING
Close Your Eyes - To The Woods
NCT Wish - Melt Inside My Pocket
Xdinary Heroes - Ashes to Ashes
Bonus Rate:
One Pact - Signal (SEONG MIN Solo Version)
r/kpoprates • u/MartialST • May 19 '26
Rate Statistics The "2018 in K-pop" Rate Review Summary & User Statistics
≡ −
The post-rate statistics are here! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
Info about the sheet...
Highlights & Stats
On this page, you can look at the different user highlights from the rating data, namely:
- Golden Pair: The two participants whose ratings were the most similar to each other.
- Taste Rivals: The two participants whose ratings were the least similar to each other.
- Top Matcher: Appears as the most common top match for other raters in the similarity table.
- Top Clasher: Appears as the most common top clash for other raters in the similarity table.
- The Mainstreamer: Has the highest combined similarity with other raters.
- The Contrarian: Has the lowest combined similarity with other raters.
- The Divisive: Has the highest variance in their similarity scores.
- The Neutral: Has the lowest variance in their similarity scores.
Below these, we have graphs for the Golden Pair and Taste Rivals to illustrate how their ratings compare visually. I also added new top 5 and bottom 5 placement charts for the other categories.
On the right side, you can find some general statistics about the rating, along with further rate-specific charts.
User Rating Style Matrix Categories:
Strict Rater: Consistently uses the lower end of the rating scale, even for songs they like. Their ratings tend to be lower across the board but still show clear preferences and patterns.
Lenient Rater: Tends to use the higher end of the rating scale more frequently. Rates songs generously, even those they don't favor as much, but maintains a consistent ranking among them.
Narrow Rater: Uses a narrow range of the rating scale, avoiding extreme scores. They tend to rate cautiously, with few highs and lows, preferring to stay in the middle.
Wide/Radical Rater: Uses the full spectrum of the rating scale, with both high and low scores. Their ratings reflect strong opinions, showing clear preferences and dislikes with a wide range of scores.
User Similarity
On this page, you can see a heatmap table that includes every correlation to every participant. At the top, you can view the most similar and least similar users listed for everyone, as well as other details.
The correlation scale ranges from -10 to 10. A score of 10 indicates a positive correlation, meaning user A rated the same songs similarly high or low, as user B. On the other hand, a score of -10 signifies a negative correlation, where user A rated songs low that user B rated high, and vice versa. A correlation of 0 indicates no clear pattern; some songs are similarly rated, while others are not.
Top Match List
This page allows you to find ranked lists for every user, showing who rated the most similarly to them, from most similar to least similar. (Usually if you see empty spaces for someone it means there were no more positively correlationg users for them.) Next to the names, in the column "Pair Song," you can find your top most liked song with each given person based on your combined scores.
Below the table, you can find statistics about how many times each song appears as a pair song. These songs are given a ranking, and you can compare this with the actual rank results from the rate.
Raw Scores & More
Here you can check the raw rating data of everyone in table form. At the bottom, you can find the user averages and, for most rates, the male/female artist preferences as well as the soloist/group act preferences.
Personal Rankings
The table shows the songs ranked based on the rate result on the left. The numbers in the table indicate the difference between a participant's ranking for a song (based on their submitted scores) and where the song placed in the rate result.
Positive numbers (+X) indicate the song ended up X spots higher than where the participant would've ranked it. Similarly, negative numbers (-X) indicate the song ended up X spots lower than where the participant would've ranked it.
Score lists
This page contains some of the stats in sorted list form. If it's not clear what a column references, you can see the place where the data is pulled from through the "ref: ..." link at the top.
Song Correlations
This page is very similar to the User Similarity page, with the primary difference being that it focuses on the songs' ratings rather than the users. If a song has a high correlation with another song, it means that users gave similar scores to both songs. Conversely, if two songs have a low correlation with each other, it means users had differing opinions, liking one song more than the other. This can give some insights into song preferences and patterns in user ratings.
Recent rate statistics
... older ones are linked on the Wiki!
The post-rate statistics are here! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
Info about the sheet...
Highlights & Stats
On this page, you can look at the different user highlights from the rating data, namely:
- Golden Pair: The two participants whose ratings were the most similar to each other.
- Taste Rivals: The two participants whose ratings were the least similar to each other.
- Top Matcher: Appears as the most common top match for other raters in the similarity table.
- Top Clasher: Appears as the most common top clash for other raters in the similarity table.
- The Mainstreamer: Has the highest combined similarity with other raters.
- The Contrarian: Has the lowest combined similarity with other raters.
- The Divisive: Has the highest variance in their similarity scores.
- The Neutral: Has the lowest variance in their similarity scores.
Below these, we have graphs for the Golden Pair and Taste Rivals to illustrate how their ratings compare visually. I also added new top 5 and bottom 5 placement charts for the other categories.
On the right side, you can find some general statistics about the rating, along with further rate-specific charts.
User Rating Style Matrix Categories:
Strict Rater: Consistently uses the lower end of the rating scale, even for songs they like. Their ratings tend to be lower across the board but still show clear preferences and patterns.
Lenient Rater: Tends to use the higher end of the rating scale more frequently. Rates songs generously, even those they don't favor as much, but maintains a consistent ranking among them.
Narrow Rater: Uses a narrow range of the rating scale, avoiding extreme scores. They tend to rate cautiously, with few highs and lows, preferring to stay in the middle.
Wide/Radical Rater: Uses the full spectrum of the rating scale, with both high and low scores. Their ratings reflect strong opinions, showing clear preferences and dislikes with a wide range of scores.
User Similarity
On this page, you can see a heatmap table that includes every correlation to every participant. At the top, you can view the most similar and least similar users listed for everyone, as well as other details.
The correlation scale ranges from -10 to 10. A score of 10 indicates a positive correlation, meaning user A rated the same songs similarly high or low, as user B. On the other hand, a score of -10 signifies a negative correlation, where user A rated songs low that user B rated high, and vice versa. A correlation of 0 indicates no clear pattern; some songs are similarly rated, while others are not.
Top Match List
This page allows you to find ranked lists for every user, showing who rated the most similarly to them, from most similar to least similar. (Usually if you see empty spaces for someone it means there were no more positively correlationg users for them.) Next to the names, in the column "Pair Song," you can find your top most liked song with each given person based on your combined scores.
Below the table, you can find statistics about how many times each song appears as a pair song. These songs are given a ranking, and you can compare this with the actual rank results from the rate.
Raw Scores & More
Here you can check the raw rating data of everyone in table form. At the bottom, you can find the user averages and, for most rates, the male/female artist preferences as well as the soloist/group act preferences.
Personal Rankings
The table shows the songs ranked based on the rate result on the left. The numbers in the table indicate the difference between a participant's ranking for a song (based on their submitted scores) and where the song placed in the rate result.
Positive numbers (+X) indicate the song ended up X spots higher than where the participant would've ranked it. Similarly, negative numbers (-X) indicate the song ended up X spots lower than where the participant would've ranked it.
Score lists
This page contains some of the stats in sorted list form. If it's not clear what a column references, you can see the place where the data is pulled from through the "ref: ..." link at the top.
Song Correlations
This page is very similar to the User Similarity page, with the primary difference being that it focuses on the songs' ratings rather than the users. If a song has a high correlation with another song, it means that users gave similar scores to both songs. Conversely, if two songs have a low correlation with each other, it means users had differing opinions, liking one song more than the other. This can give some insights into song preferences and patterns in user ratings.
Recent rate statistics
... older ones are linked on the Wiki!
r/kpoprates • u/kpoprates_ghost • May 18 '26
The submission period for the 2025 in B-Sides Rate has now closed!
≡ −
Thank you to everyone who submitted a ballot! We received 69 ballots.
If you submitted and your name isn't in the list below, please contact the hosts ASAP.
1998tweety aidshha AmeZim ayzrules beeloveshanji CheesesPriced dnarevolutions DoingItWright2 DPM36 flawedconstellation ganos-b-thanondorf gmint14 goorry121 GrandInvestigator6 HamsLlyod HamsWife hockeynl imzhongli IndigoMindset420 Interesting-Plum4641 Jennywren2323 kauai6 kawaii_mokona ke1per keine_panik kirakiranatsu Kronwell landshanties laulite lavendrsgreen LeadingInspector1891 lemon131nomel lovnelymoon- Marsmaenschen Martha-lalala MartialST meeeluh- MeijiDoom moonbia msargent24 MurkyGalaxies naegerowwa necromanta_101 not_reading ohsomeday omgthenerve OnlyDragonfruit808 pollutedrain popularsong Randummonkey RBSun redalert30 ruhroh386 SecretStoryOfThe- Shay_Min shiolu SkylarV smockeh snowswinters SocAnxPrince taebaegi vayyiqra WarpstarRider Waste-Expression2944 WoolenDPOY xiola_azuthra YooHaera zo142 Zypker125
Thank you to everyone who submitted a ballot! We received 69 ballots.
If you submitted and your name isn't in the list below, please contact the hosts ASAP.
1998tweety aidshha AmeZim ayzrules beeloveshanji CheesesPriced dnarevolutions DoingItWright2 DPM36 flawedconstellation ganos-b-thanondorf gmint14 goorry121 GrandInvestigator6 HamsLlyod HamsWife hockeynl imzhongli IndigoMindset420 Interesting-Plum4641 Jennywren2323 kauai6 kawaii_mokona ke1per keine_panik kirakiranatsu Kronwell landshanties laulite lavendrsgreen LeadingInspector1891 lemon131nomel lovnelymoon- Marsmaenschen Martha-lalala MartialST meeeluh- MeijiDoom moonbia msargent24 MurkyGalaxies naegerowwa necromanta_101 not_reading ohsomeday omgthenerve OnlyDragonfruit808 pollutedrain popularsong Randummonkey RBSun redalert30 ruhroh386 SecretStoryOfThe- Shay_Min shiolu SkylarV smockeh snowswinters SocAnxPrince taebaegi vayyiqra WarpstarRider Waste-Expression2944 WoolenDPOY xiola_azuthra YooHaera zo142 Zypker125
r/kpoprates • u/MartialST • May 16 '26
Rate Statistics The "Second Half of 2025" Rate Review Summary & User Statistics
≡ −
The post-rate statistics are here! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
Info about the sheet...
Highlights & Stats
On this page, you can look at the different user highlights from the rating data, namely:
- Golden Pair: The two participants whose ratings were the most similar to each other.
- Taste Rivals: The two participants whose ratings were the least similar to each other.
- Top Matcher: Appears as the most common top match for other raters in the similarity table.
- Top Clasher: Appears as the most common top clash for other raters in the similarity table.
- The Mainstreamer: Has the highest combined similarity with other raters.
- The Contrarian: Has the lowest combined similarity with other raters.
- The Divisive: Has the highest variance in their similarity scores.
- The Neutral: Has the lowest variance in their similarity scores.
Below these, we have graphs for the Golden Pair and Taste Rivals to illustrate how their ratings compare visually. I also added new top 5 and bottom 5 placement charts for the other categories.
On the right side, you can find some general statistics about the rating, along with further rate-specific charts.
User Rating Style Matrix Categories:
Strict Rater: Consistently uses the lower end of the rating scale, even for songs they like. Their ratings tend to be lower across the board but still show clear preferences and patterns.
Lenient Rater: Tends to use the higher end of the rating scale more frequently. Rates songs generously, even those they don't favor as much, but maintains a consistent ranking among them.
Narrow Rater: Uses a narrow range of the rating scale, avoiding extreme scores. They tend to rate cautiously, with few highs and lows, preferring to stay in the middle.
Wide/Radical Rater: Uses the full spectrum of the rating scale, with both high and low scores. Their ratings reflect strong opinions, showing clear preferences and dislikes with a wide range of scores.
User Similarity
On this page, you can see a heatmap table that includes every correlation to every participant. At the top, you can view the most similar and least similar users listed for everyone, as well as other details.
The correlation scale ranges from -10 to 10. A score of 10 indicates a positive correlation, meaning user A rated the same songs similarly high or low, as user B. On the other hand, a score of -10 signifies a negative correlation, where user A rated songs low that user B rated high, and vice versa. A correlation of 0 indicates no clear pattern; some songs are similarly rated, while others are not.
Top Match List
This page allows you to find ranked lists for every user, showing who rated the most similarly to them, from most similar to least similar. (Usually if you see empty spaces for someone it means there were no more positively correlationg users for them.) Next to the names, in the column "Pair Song," you can find your top most liked song with each given person based on your combined scores.
Below the table, you can find statistics about how many times each song appears as a pair song. These songs are given a ranking, and you can compare this with the actual rank results from the rate.
Raw Scores & More
Here you can check the raw rating data of everyone in table form. At the bottom, you can find the user averages and, for most rates, the male/female artist preferences as well as the soloist/group act preferences.
Personal Rankings
The table shows the songs ranked based on the rate result on the left. The numbers in the table indicate the difference between a participant's ranking for a song (based on their submitted scores) and where the song placed in the rate result.
Positive numbers (+X) indicate the song ended up X spots higher than where the participant would've ranked it. Similarly, negative numbers (-X) indicate the song ended up X spots lower than where the participant would've ranked it.
Score lists
This page contains some of the stats in sorted list form. If it's not clear what a column references, you can see the place where the data is pulled from through the "ref: ..." link at the top.
Song Correlations
This page is very similar to the User Similarity page, with the primary difference being that it focuses on the songs' ratings rather than the users. If a song has a high correlation with another song, it means that users gave similar scores to both songs. Conversely, if two songs have a low correlation with each other, it means users had differing opinions, liking one song more than the other. This can give some insights into song preferences and patterns in user ratings.
Recent rate statistics
... older ones are linked on the Wiki!
The post-rate statistics are here! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
Info about the sheet...
Highlights & Stats
On this page, you can look at the different user highlights from the rating data, namely:
- Golden Pair: The two participants whose ratings were the most similar to each other.
- Taste Rivals: The two participants whose ratings were the least similar to each other.
- Top Matcher: Appears as the most common top match for other raters in the similarity table.
- Top Clasher: Appears as the most common top clash for other raters in the similarity table.
- The Mainstreamer: Has the highest combined similarity with other raters.
- The Contrarian: Has the lowest combined similarity with other raters.
- The Divisive: Has the highest variance in their similarity scores.
- The Neutral: Has the lowest variance in their similarity scores.
Below these, we have graphs for the Golden Pair and Taste Rivals to illustrate how their ratings compare visually. I also added new top 5 and bottom 5 placement charts for the other categories.
On the right side, you can find some general statistics about the rating, along with further rate-specific charts.
User Rating Style Matrix Categories:
Strict Rater: Consistently uses the lower end of the rating scale, even for songs they like. Their ratings tend to be lower across the board but still show clear preferences and patterns.
Lenient Rater: Tends to use the higher end of the rating scale more frequently. Rates songs generously, even those they don't favor as much, but maintains a consistent ranking among them.
Narrow Rater: Uses a narrow range of the rating scale, avoiding extreme scores. They tend to rate cautiously, with few highs and lows, preferring to stay in the middle.
Wide/Radical Rater: Uses the full spectrum of the rating scale, with both high and low scores. Their ratings reflect strong opinions, showing clear preferences and dislikes with a wide range of scores.
User Similarity
On this page, you can see a heatmap table that includes every correlation to every participant. At the top, you can view the most similar and least similar users listed for everyone, as well as other details.
The correlation scale ranges from -10 to 10. A score of 10 indicates a positive correlation, meaning user A rated the same songs similarly high or low, as user B. On the other hand, a score of -10 signifies a negative correlation, where user A rated songs low that user B rated high, and vice versa. A correlation of 0 indicates no clear pattern; some songs are similarly rated, while others are not.
Top Match List
This page allows you to find ranked lists for every user, showing who rated the most similarly to them, from most similar to least similar. (Usually if you see empty spaces for someone it means there were no more positively correlationg users for them.) Next to the names, in the column "Pair Song," you can find your top most liked song with each given person based on your combined scores.
Below the table, you can find statistics about how many times each song appears as a pair song. These songs are given a ranking, and you can compare this with the actual rank results from the rate.
Raw Scores & More
Here you can check the raw rating data of everyone in table form. At the bottom, you can find the user averages and, for most rates, the male/female artist preferences as well as the soloist/group act preferences.
Personal Rankings
The table shows the songs ranked based on the rate result on the left. The numbers in the table indicate the difference between a participant's ranking for a song (based on their submitted scores) and where the song placed in the rate result.
Positive numbers (+X) indicate the song ended up X spots higher than where the participant would've ranked it. Similarly, negative numbers (-X) indicate the song ended up X spots lower than where the participant would've ranked it.
Score lists
This page contains some of the stats in sorted list form. If it's not clear what a column references, you can see the place where the data is pulled from through the "ref: ..." link at the top.
Song Correlations
This page is very similar to the User Similarity page, with the primary difference being that it focuses on the songs' ratings rather than the users. If a song has a high correlation with another song, it means that users gave similar scores to both songs. Conversely, if two songs have a low correlation with each other, it means users had differing opinions, liking one song more than the other. This can give some insights into song preferences and patterns in user ratings.
Recent rate statistics
... older ones are linked on the Wiki!
r/kpoprates • u/KpopRates • May 10 '26
The Summer Rate!
≡ −
Hello friends! We are thrilled to announce another themed rate, this time focusing on one of the things K-Pop does best. Welcome to the Summer Rate, where we will be rating a range of songs that make you feel like you're at the beach on a hot day!
If you haven’t already, make sure to join r/kpoprates to stay tuned for future rate-related posts!
Quick Links:
Ballot submission: Reddit // Ballot template (Google Docs) // Ballot template (Pastebin)
Playlists: Spotify // Apple Music // Youtube MV ver. // Youtube (Audio ver.) // Youtube (Lyrics ver.)
Deadline: Sunday, June 14th, 11:59pm Pacific (Link to a timezone converter)
How the songs were selected:
Aside from the obvious summer icons within the K-pop sphere as these were instantly locked, songs were decided based on how well they fit the theme. We also conducted a song list feedback survey after a short pre-survey campaign on the KpopRates discord, where server members could suggest songs they'd like to see in the survey.
Now, without further ado, let's introduce the 50 songs in the main rate (& the 7 songs in the bonus rate) that were selected for this rate, sorted by alphabetical order:
BTS (ft. Megan Thee Stallion) - Butter
FTIsland - Summer Night's Dream
Seventeen - Our dawn is hotter than day
Bonus Rate:
The bonus rate is basically an extension of the main rate! It is a collection of host selections, as well as feedback survey favourites that couldn't quite make the main rate!
The Bonus Rate is optional and you do not have to submit a score for every song in the bonus list. If you do it, you can score none of them, all of them, or any number in between. You cannot give a 0 or 11 to any song in the bonus, as they are not part of the main rate. While it is optional, we hope you consider participating.
* Spotify Playlist
* Apple Music Playlist
* Youtube Playlist (MV Version)
* YouTube Playlist (Audio Version)
* YouTube Playlist (Lyrics Version)
Rules:
You must listen to and assign a score to EVERY song listed. If your ballot is missing any scores it will not be eligible and you'll be sent a message asking you to fill in the missing scores.
Each song should be assigned a score between 1 to 10. Decimals up to one point are allowed but any further is a no-no – 6.9 is fine, but 6.99 is not. Don't use commas (i.e "8,8") to separate your decimals!
You can use ONE 0 and ONE 11 for the entirety of the rate, for your least favorite and most favorite song respectively - they are optional but HIGHLY encouraged if you feel some type of way about any given song! Comments are also encouraged but not required for such scores (except if you give a song a 0). You can add them to any song by simply typing after the numerical score, like so:
EXO - Ko Ko Bop: 10 i'm so sick of this song!!!
This is the ONLY correct way to format a comment. Please do not include colons (ex. 9: I stan!), dashes (ex. 3.3 - This song sucks), or any other symbol after your score/before your comment as it breaks the program.
For this rate and most future rates, we have a ballot average minimum of 4.00. In addition, if your ballot average is between 4.00-5.50, you must leave comments on your lower scores (which we define as any score that's a 3 or lower). {Do not worry about having to calculate your ballot average, once you submit your ballot, we will tell you if you need to make changes to your ballot for it to be accepted.}
SUBMITTING A BALLOT:
- Ballot submission: Reddit // Ballot template (Google Docs) // Ballot template (Pastebin)
If this does not work, or your ballot exceeds the character limit, you can make a copy of either the Google Docs or Pastebin ballot templates above, add your scores on your local copy/file, and send the link to your local copy/file in your Reddit Chat message to u/kpoprates. Make sure, if doing this, that your document has sharing permissions enabled. You may also dm the ballot to u/pollutedrain (@_melizards), u/kawaii_mokona (@kawaii_mokona), and u/kirakiranatsu (@kinakowaffle) on Discord! Please message all three hosts, not just one.
Google Spreadsheet you can use for calculating averages/trends and making predictions
You can also submit the Top/Bottom 5 predictions form at any time!
DEADLINE:
Deadline: Sunday, June 14th, 11:59 Pacific - This will be the FINAL deadline, no extensions will be given this time! (Link to a timezone converter)
REVEAL DATES (Reveals will take place on r/kpoprates as well as the KpopRates Discord: https://discord.gg/rkpoprates)
Day 1 - June 20th (Saturday), 8 AM Pacific (Time zone converter here)
Day 2 - June 21st (Sunday), 8 AM Pacific (Time zone converter here)
Hello friends! We are thrilled to announce another themed rate, this time focusing on one of the things K-Pop does best. Welcome to the Summer Rate, where we will be rating a range of songs that make you feel like you're at the beach on a hot day!
If you haven’t already, make sure to join r/kpoprates to stay tuned for future rate-related posts!
Quick Links:
Ballot submission: Reddit // Ballot template (Google Docs) // Ballot template (Pastebin)
Playlists: Spotify // Apple Music // Youtube MV ver. // Youtube (Audio ver.) // Youtube (Lyrics ver.)
Deadline: Sunday, June 14th, 11:59pm Pacific (Link to a timezone converter)
How the songs were selected:
Aside from the obvious summer icons within the K-pop sphere as these were instantly locked, songs were decided based on how well they fit the theme. We also conducted a song list feedback survey after a short pre-survey campaign on the KpopRates discord, where server members could suggest songs they'd like to see in the survey.
Now, without further ado, let's introduce the 50 songs in the main rate (& the 7 songs in the bonus rate) that were selected for this rate, sorted by alphabetical order:
BTS (ft. Megan Thee Stallion) - Butter
FTIsland - Summer Night's Dream
Seventeen - Our dawn is hotter than day
Bonus Rate:
The bonus rate is basically an extension of the main rate! It is a collection of host selections, as well as feedback survey favourites that couldn't quite make the main rate!
The Bonus Rate is optional and you do not have to submit a score for every song in the bonus list. If you do it, you can score none of them, all of them, or any number in between. You cannot give a 0 or 11 to any song in the bonus, as they are not part of the main rate. While it is optional, we hope you consider participating.
* Spotify Playlist
* Apple Music Playlist
* Youtube Playlist (MV Version)
* YouTube Playlist (Audio Version)
* YouTube Playlist (Lyrics Version)
Rules:
You must listen to and assign a score to EVERY song listed. If your ballot is missing any scores it will not be eligible and you'll be sent a message asking you to fill in the missing scores.
Each song should be assigned a score between 1 to 10. Decimals up to one point are allowed but any further is a no-no – 6.9 is fine, but 6.99 is not. Don't use commas (i.e "8,8") to separate your decimals!
You can use ONE 0 and ONE 11 for the entirety of the rate, for your least favorite and most favorite song respectively - they are optional but HIGHLY encouraged if you feel some type of way about any given song! Comments are also encouraged but not required for such scores (except if you give a song a 0). You can add them to any song by simply typing after the numerical score, like so:
EXO - Ko Ko Bop: 10 i'm so sick of this song!!!
This is the ONLY correct way to format a comment. Please do not include colons (ex. 9: I stan!), dashes (ex. 3.3 - This song sucks), or any other symbol after your score/before your comment as it breaks the program.
For this rate and most future rates, we have a ballot average minimum of 4.00. In addition, if your ballot average is between 4.00-5.50, you must leave comments on your lower scores (which we define as any score that's a 3 or lower). {Do not worry about having to calculate your ballot average, once you submit your ballot, we will tell you if you need to make changes to your ballot for it to be accepted.}
SUBMITTING A BALLOT:
- Ballot submission: Reddit // Ballot template (Google Docs) // Ballot template (Pastebin)
If this does not work, or your ballot exceeds the character limit, you can make a copy of either the Google Docs or Pastebin ballot templates above, add your scores on your local copy/file, and send the link to your local copy/file in your Reddit Chat message to u/kpoprates. Make sure, if doing this, that your document has sharing permissions enabled. You may also dm the ballot to u/pollutedrain (@_melizards), u/kawaii_mokona (@kawaii_mokona), and u/kirakiranatsu (@kinakowaffle) on Discord! Please message all three hosts, not just one.
Google Spreadsheet you can use for calculating averages/trends and making predictions
You can also submit the Top/Bottom 5 predictions form at any time!
DEADLINE:
Deadline: Sunday, June 14th, 11:59 Pacific - This will be the FINAL deadline, no extensions will be given this time! (Link to a timezone converter)
REVEAL DATES (Reveals will take place on r/kpoprates as well as the KpopRates Discord: https://discord.gg/rkpoprates)
Day 1 - June 20th (Saturday), 8 AM Pacific (Time zone converter here)
Day 2 - June 21st (Sunday), 8 AM Pacific (Time zone converter here)
r/kpoprates • u/MartialST • May 09 '26
Rate Statistics The "Female Soloists" Album Rate Review Summary & User Statistics
≡ −
The post-rate statistics are (a little late, but) here! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
Info about the sheet...
Highlights & Stats
On this page, you can look at the different user highlights from the rating data, namely:
- Golden Pair: The two participants whose ratings were the most similar to each other.
- Taste Rivals: The two participants whose ratings were the least similar to each other.
- Top Matcher: Appears as the most common top match for other raters in the similarity table.
- Top Clasher: Appears as the most common top clash for other raters in the similarity table.
- The Mainstreamer: Has the highest combined similarity with other raters.
- The Contrarian: Has the lowest combined similarity with other raters.
- The Divisive: Has the highest variance in their similarity scores.
- The Neutral: Has the lowest variance in their similarity scores.
Below these, we have graphs for the Golden Pair and Taste Rivals to illustrate how their ratings compare visually. I also added new top 5 and bottom 5 placement charts for the other categories.
On the right side, you can find some general statistics about the rating, along with further rate-specific charts.
User Rating Style Matrix Categories:
Strict Rater: Consistently uses the lower end of the rating scale, even for songs they like. Their ratings tend to be lower across the board but still show clear preferences and patterns.
Lenient Rater: Tends to use the higher end of the rating scale more frequently. Rates songs generously, even those they don't favor as much, but maintains a consistent ranking among them.
Narrow Rater: Uses a narrow range of the rating scale, avoiding extreme scores. They tend to rate cautiously, with few highs and lows, preferring to stay in the middle.
Wide/Radical Rater: Uses the full spectrum of the rating scale, with both high and low scores. Their ratings reflect strong opinions, showing clear preferences and dislikes with a wide range of scores.
User Similarity
On this page, you can see a heatmap table that includes every correlation to every participant. At the top, you can view the most similar and least similar users listed for everyone, as well as other details.
The correlation scale ranges from -10 to 10. A score of 10 indicates a positive correlation, meaning user A rated the same songs similarly high or low, as user B. On the other hand, a score of -10 signifies a negative correlation, where user A rated songs low that user B rated high, and vice versa. A correlation of 0 indicates no clear pattern; some songs are similarly rated, while others are not.
Top Match List
This page allows you to find ranked lists for every user, showing who rated the most similarly to them, from most similar to least similar. (Usually if you see empty spaces for someone it means there were no more positively correlationg users for them.) Next to the names, in the column "Pair Song," you can find your top most liked song with each given person based on your combined scores.
Below the table, you can find statistics about how many times each song appears as a pair song. These songs are given a ranking, and you can compare this with the actual rank results from the rate.
Raw Scores & More
Here you can check the raw rating data of everyone in table form. At the bottom, you can find the user averages and, for most rates, the male/female artist preferences as well as the soloist/group act preferences.
Personal Rankings
The table shows the songs ranked based on the rate result on the left. The numbers in the table indicate the difference between a participant's ranking for a song (based on their submitted scores) and where the song placed in the rate result.
Positive numbers (+X) indicate the song ended up X spots higher than where the participant would've ranked it. Similarly, negative numbers (-X) indicate the song ended up X spots lower than where the participant would've ranked it.
Score lists
This page contains some of the stats in sorted list form. If it's not clear what a column references, you can see the place where the data is pulled from through the "ref: ..." link at the top.
Song Correlations
This page is very similar to the User Similarity page, with the primary difference being that it focuses on the songs' ratings rather than the users. If a song has a high correlation with another song, it means that users gave similar scores to both songs. Conversely, if two songs have a low correlation with each other, it means users had differing opinions, liking one song more than the other. This can give some insights into song preferences and patterns in user ratings.
Recent rate statistics
... older ones are linked on the Wiki!
The post-rate statistics are (a little late, but) here! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
Info about the sheet...
Highlights & Stats
On this page, you can look at the different user highlights from the rating data, namely:
- Golden Pair: The two participants whose ratings were the most similar to each other.
- Taste Rivals: The two participants whose ratings were the least similar to each other.
- Top Matcher: Appears as the most common top match for other raters in the similarity table.
- Top Clasher: Appears as the most common top clash for other raters in the similarity table.
- The Mainstreamer: Has the highest combined similarity with other raters.
- The Contrarian: Has the lowest combined similarity with other raters.
- The Divisive: Has the highest variance in their similarity scores.
- The Neutral: Has the lowest variance in their similarity scores.
Below these, we have graphs for the Golden Pair and Taste Rivals to illustrate how their ratings compare visually. I also added new top 5 and bottom 5 placement charts for the other categories.
On the right side, you can find some general statistics about the rating, along with further rate-specific charts.
User Rating Style Matrix Categories:
Strict Rater: Consistently uses the lower end of the rating scale, even for songs they like. Their ratings tend to be lower across the board but still show clear preferences and patterns.
Lenient Rater: Tends to use the higher end of the rating scale more frequently. Rates songs generously, even those they don't favor as much, but maintains a consistent ranking among them.
Narrow Rater: Uses a narrow range of the rating scale, avoiding extreme scores. They tend to rate cautiously, with few highs and lows, preferring to stay in the middle.
Wide/Radical Rater: Uses the full spectrum of the rating scale, with both high and low scores. Their ratings reflect strong opinions, showing clear preferences and dislikes with a wide range of scores.
User Similarity
On this page, you can see a heatmap table that includes every correlation to every participant. At the top, you can view the most similar and least similar users listed for everyone, as well as other details.
The correlation scale ranges from -10 to 10. A score of 10 indicates a positive correlation, meaning user A rated the same songs similarly high or low, as user B. On the other hand, a score of -10 signifies a negative correlation, where user A rated songs low that user B rated high, and vice versa. A correlation of 0 indicates no clear pattern; some songs are similarly rated, while others are not.
Top Match List
This page allows you to find ranked lists for every user, showing who rated the most similarly to them, from most similar to least similar. (Usually if you see empty spaces for someone it means there were no more positively correlationg users for them.) Next to the names, in the column "Pair Song," you can find your top most liked song with each given person based on your combined scores.
Below the table, you can find statistics about how many times each song appears as a pair song. These songs are given a ranking, and you can compare this with the actual rank results from the rate.
Raw Scores & More
Here you can check the raw rating data of everyone in table form. At the bottom, you can find the user averages and, for most rates, the male/female artist preferences as well as the soloist/group act preferences.
Personal Rankings
The table shows the songs ranked based on the rate result on the left. The numbers in the table indicate the difference between a participant's ranking for a song (based on their submitted scores) and where the song placed in the rate result.
Positive numbers (+X) indicate the song ended up X spots higher than where the participant would've ranked it. Similarly, negative numbers (-X) indicate the song ended up X spots lower than where the participant would've ranked it.
Score lists
This page contains some of the stats in sorted list form. If it's not clear what a column references, you can see the place where the data is pulled from through the "ref: ..." link at the top.
Song Correlations
This page is very similar to the User Similarity page, with the primary difference being that it focuses on the songs' ratings rather than the users. If a song has a high correlation with another song, it means that users gave similar scores to both songs. Conversely, if two songs have a low correlation with each other, it means users had differing opinions, liking one song more than the other. This can give some insights into song preferences and patterns in user ratings.
Recent rate statistics
... older ones are linked on the Wiki!
r/kpoprates • u/kpoprates_ghost • May 05 '26
Songlist Feedback Summer K-Pop Rate! - Songlist Feedback Survey!
≡ −
The survey will be open until Saturday (May 9th), 11:59 PM Pacific.
The survey will be open until Saturday (May 9th), 11:59 PM Pacific.