Victoria (track)
by The Fall
Victoria appears on the following album(s) by The Fall:
- 50,000 Fall Fans Can't Be Wrong: 39 Golden Greats (track #25) (compilation) (2004)
- 458489 A-Sides (track #13) (1990)
- The Frenz Experiment (track #4) (this album) (1988)
- Seminal Live (track #8) (1989)
- 5 Albums (track #4) (compilation) (2013)
- 5 Albums (track #63) (compilation) (2013)
eBay
Condition: Used
eBay
Condition: Used
eBay
Condition: Used
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Victoria 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.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 11/13/2025 01:21 | 1977Podcast | 53 | 91/100 |
| ! | 08/07/2025 22:10 | daCritic | 33,801 | 76/100 |
| ! | 07/10/2023 02:44 |  imacgill | 29,699 | 81/100 |
| ! | 01/28/2022 22:24 |  Taka | 10,387 | 79/100 |
| ! | 07/23/2021 04:31 |  Brad1770 | 19,991 | 64/100 |
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 6% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 79.9/100, a mean average of 83.2/100, and a trimmed mean (excluding outliers) of 83.2/100. The standard deviation for this track is 9.1.
Victoria favourites
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