Se Quiere, Se Mata (track)
by Shakira
Year: 1995
From the album Pies Descalzos (track #11)
Listen on Spotify SPOTIFY
Se Quiere, Se Mata appears on the following album(s) by Shakira:
- Pies Descalzos (track #11) (this album) (1995)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Se Quiere, Se Mata on YouTube
Se Quiere, Se Mata 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 11 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 07/29/2026 01:54 | phmusic | 73,481 | 100/100 |
| ! | 02/14/2021 22:19 | LosWochos | 316,304 | 80/100 |
| ! | 11/18/2020 22:26 | Hellaboi | 6,348 | 77/100 |
| ! | 03/23/2018 07:23 | 7,540 | 78/100 | |
| ! | 01/16/2018 09:09 | Extremaduramusic | 52 | 87/100 |
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 has a Bayesian average rating of 76.1/100, a mean average of 76.4/100, and a trimmed mean (excluding outliers) of 76.4/100. The standard deviation for this track is 27.9.
Se Quiere, Se Mata favourites
Se Quiere, Se Mata comments
Be the first to add a comment for this track - add your comment!
