Auf'm Friedhof (track)
by Nina Hagen Band
Year: 1978
From the album Nina Hagen Band (track #9)
Listen on Spotify SPOTIFY
Auf'm Friedhof appears on the following album(s) by Nina Hagen Band:
- Nina Hagen Band (track #9) (this album) (1978)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Auf'm Friedhof on YouTube
Auf'm Friedhof 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 10 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 01/18/2026 11:18 | Exist-en-ciel | 168,554 | 71/100 |
| ! | 11/01/2025 07:17 | culwin | 22,715 | 75/100 |
| ! | 11/04/2024 09:50 | platus | 32,788 | 76/100 |
| ! | 11/27/2023 05:55 | LT22 | 2,742 | 86/100 |
| ! | 12/23/2020 09:59 | Luncea | 5,166 | 85/100 |
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 19% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 77.5/100, a mean average of 79.0/100, and a trimmed mean (excluding outliers) of 79.0/100. The standard deviation for this track is 6.2.
Auf'm Friedhof comments
Be the first to add a comment for this track - add your comment!
