Team A (track) by Bloc Party

Team A by Bloc Party
Year: 2012
From the album Four (track #9)
Average Rating: 
76/100 (from 15 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history
Four (12 tracks) « Previous track (#8) This track (#9) Next track (#10) »
V.A.L.I.S.Team ATruth

Team A appears on the following album(s) by Bloc Party:


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Upcoming concerts

May
30
Fri
20:00
20 Years Of Bloc Party: Silent Alarm & Greatest Hits, with Metric
MGM Music Hall at Fenway, Boston, United States. United States
Tickets from Ticketmaster Get tickets
 
May
31
Sat
18:00
Bloc Party
Forest Hills Stadium, Forest Hills, United States. United States
Tickets from Ticketmaster Get tickets
 
Jun
02
Mon
19:00
Bloc Party - 20 Years of Bloc Party: Silent Alarm & Hits
The Anthem, Washington, United States. United States
Tickets from Ticketmaster Get tickets
 
Discover more upcoming concerts

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Team A ratings

Average Rating: 
76/100 (from 15 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.
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RatingDate updatedMemberTrack ratingsAvg. track rating
 
80/100
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07/29/2024 01:53 imacgill  Ratings distributionRatings distribution 25,28981/100
 
25/100
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07/13/2022 15:17 ForegroundNoise  Ratings distributionRatings distribution 27,17964/100
 
85/100
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12/09/2020 20:15 fume0dm  Ratings distributionRatings distribution 4,38084/100
 
60/100
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10/26/2020 09:21 cautionarytale  Ratings distributionRatings distribution 1,52078/100
 
80/100
 Report rating
06/16/2019 22:37 LittleM1971  Ratings distributionRatings distribution 38,66585/100

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 75.8/100, a mean average of 72.0/100, and a trimmed mean (excluding outliers) of 75.4/100. The standard deviation for this track is 15.1.

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