Wild Cats Of Kilkenny (track)
by The Pogues
Year: 1985
From the album Rum Sodomy & The Lash (track #3)
Listen on Spotify SPOTIFY
Wild Cats Of Kilkenny appears on the following album(s) by The Pogues:
- Rum Sodomy & The Lash (track #3) (this album) (1985)
- BBC Sessions 1984-85 (track #13) (compilation) (2020)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Wild Cats Of Kilkenny on YouTube
Wild Cats Of Kilkenny 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 76 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 08/24/2026 17:28 | stareaterogni0n | 6,364 | 69/100 |
| ! | 03/17/2026 23:47 | Exist-en-ciel | 170,911 | 71/100 |
| ! | 09/24/2025 23:11 | mrmcrook | 12,810 | 78/100 |
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 77.0/100, a mean average of 76.4/100, and a trimmed mean (excluding outliers) of 77.1/100. The standard deviation for this track is 12.3.
Wild Cats Of Kilkenny favourites
Wild Cats Of Kilkenny comments
Be the first to add a comment for this track - add your comment!
