Eyes Off You (track) by Bombay Bicycle Club

Eyes Off You by Bombay Bicycle Club
Year: 2014
From the album So Long, See You Tomorrow (track #7)
Average Rating: 
76/100 (from 16 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history

Eyes Off You appears on the following album(s) by Bombay Bicycle Club:


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Upcoming concerts

Apr
30
Tue
20:00
Bombay Bicycle Club
The Fillmore, San Francisco, United States. United States
Tickets from $35.50 (Ticketmaster) Get tickets
 
May
01
Wed
19:00
Bombay Bicycle Club
Ace of Spades, Sacramento, United States. United States
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May
04
Sat
21:00
Bombay Bicycle Club
Showbox at the Market, Seattle, United States. United States
Tickets from Ticketmaster Get tickets
 
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Eyes Off You ratings

Average Rating: 
76/100 (from 16 votes)
  Ratings distributionRatings distribution Average Rating = (n ÷ (n + m)) × av + (m ÷ (n + m)) × AV
where:
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 16 ratings for this track.

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RatingDate updatedMemberTrack ratingsAvg. track rating
 
80/100
 Report rating
01/09/2021 04:03 LosWochos  Ratings distributionRatings distribution 265,05480/100
 
95/100
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02/27/2020 02:17 bonnequestion  Ratings distributionRatings distribution 13,64675/100
 
75/100
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05/08/2019 09:02 GeorgeW49  Ratings distributionRatings distribution 15,34770/100
 
70/100
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11/15/2017 18:04 Mafedere  Ratings distributionRatings distribution 2,82377/100
 
60/100
 Report rating
10/02/2017 07:56 ForegroundNoise  Ratings distributionRatings distribution 24,71764/100

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 76.3/100, a mean average of 76.3/100, and a trimmed mean (excluding outliers) of 76.3/100. The standard deviation for this track is 8.6.

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