Hair Match (track)
by The Mountain Goats
Year: 2015
From the album Beat The Champ (track #13)
Listen on Spotify SPOTIFY
Hair Match appears on the following album(s) by The Mountain Goats:
- Beat The Champ (track #13) (this album) (2015)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Hair Match on YouTube
Hair Match 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 14 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 07/13/2026 02:30 | Exist-en-ciel | 168,387 | 71/100 |
| ! | 12/02/2025 13:45 | 13,135 | 85/100 | |
| ! | 08/20/2025 18:40 | 31,383 | 81/100 | |
| ! | 07/22/2022 13:42 | 11,349 | 92/100 | |
| ! | 11/10/2021 18:56 | toast223 | 3,723 | 82/100 |
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 17% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 77.7/100, a mean average of 78.9/100, and a trimmed mean (excluding outliers) of 78.9/100. The standard deviation for this track is 10.4.
Hair Match comments
Be the first to add a comment for this track - add your comment!
