Murder (Feat. Jay-Z) (track)
by Justin Timberlake
Year: 2013
From the album The 20/20 Experience 2 Of 2 (track #6)
Listen on Spotify SPOTIFY
Murder (Feat. Jay-Z) appears on the following album(s) by Justin Timberlake:
- The 20/20 Experience 2 Of 2 (track #6) (this album) (2013)
- The 20/20 Experience - The Complete Experience (track #16) (compilation) (2013)

Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Murder (Feat. Jay-Z) on YouTube
Murder (Feat. Jay-Z) 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 3 ratings for this track. | Show all 11 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 01/03/2026 23:17 | Spartakist | 2,526 | 80/100 |
| ! | 05/11/2024 15:54 | LosWochos | 317,302 | 80/100 |
| ! | 10/02/2021 17:27 | 77,998 | 51/100 |
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 66.4/100, a mean average of 57.7/100, and a trimmed mean (excluding outliers) of 57.7/100. The standard deviation for this track is 20.4.
Murder (Feat. Jay-Z) favourites
Murder (Feat. Jay-Z) comments
Be the first to add a comment for this track - add your comment!