Only You (track)
by Mac DeMarco
Year: 2012
From the album Rock And Roll Night Club (track #11)
Listen on Spotify SPOTIFY
Only You appears on the following album(s) by Mac DeMarco:
- Rock And Roll Night Club (track #11) (this album) (2012)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Only You on YouTube
Only You ratings
Average Rating = (n ÷ (n + m)) × av + (m ÷ (n + m)) × AVwhere:
av = trimmed mean average rating an item has currently received.
n = number of ratings an item has currently received.
m = minimum number of ratings required for an item to appear in a 'top-rated' chart (currently 10).
AV = the site mean average rating.
Showing latest 5 ratings for this track. | Show all 22 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 07/12/2026 01:26 | Exist-en-ciel | 165,824 | 71/100 |
| ! | 06/27/2026 10:47 | phmusic | 69,656 | 100/100 |
| ! | 03/20/2024 14:15 | akuji219 | 290 | 81/100 |
| ! | 08/15/2022 11:20 | Fevernova | 34,542 | 82/100 |
| ! | 05/30/2022 04:16 | tyleraepps | 5,011 | 83/100 |
Rating metrics:
Outliers can be removed when calculating a mean average to dampen the effects of ratings outside the normal distribution. This figure is provided as the trimmed mean. A high standard deviation can be legitimate, but can sometimes indicate 'gaming' is occurring. Consider a simplified example* of an item receiving ratings of 100, 50, & 0. The mean average rating would be 50. However, ratings of 55, 50 & 45 could also result in the same average. The second average might be more trusted because there is more consensus around a particular rating (a lower deviation).
(*In practice, some tracks can have several thousand ratings)
This track is rated in the top 21% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 77.3/100, a mean average of 78.0/100, and a trimmed mean (excluding outliers) of 78.0/100. The standard deviation for this track is 12.4.
Only You comments
Be the first to add a comment for this track - add your comment!
