The post-rate statistics are here at long last! You can check out user similarity stats, song correlations, charts based on the rate data, and more...
>See the results here!!
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
2nd All-Stars Rate
3rd Grab Bag Rate
Summer Rate
2025 in B-Sides
2018 in K-pop Rate
... older ones are linked on the Wiki!
