One Night With The Valet (track) by Tennis (US)

One Night With The Valet by Tennis (US)
Year: 2023
From the album Pollen (track #4)
Average Rating: 
70/100 (from 11 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history
Pollen (10 tracks) « Previous track (#3) This track (#4) Next track (#5) »
Let's Make A Mistake TonightOne Night With The ValetPollen Song

One Night With The Valet appears on the following album(s) by Tennis (US):


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Upcoming concerts

Sep
02
Tue
20:00
Tennis
Channel 24, Sacramento, United States. United States
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Sep
04
Thu
19:30
Tennis - The Band w/ Alice Phoebe Lou
Mountain Winery, Saratoga, United States. United States
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Nov
18
Tue
20:00
New Faces Night feat. Tennis Courts, Lucille Klement
The Basement, Nashville, United States. United States
Tickets from Ticketmaster Get tickets
 
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One Night With The Valet ratings

Average Rating: 
70/100 (from 11 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.
Sort ratings
RatingDate updatedMemberTrack ratingsAvg. track rating
 
80/100
 Report rating
01/02/2025 03:13 imacgill  Ratings distributionRatings distribution 28,29881/100
 
80/100
 Report rating
08/07/2023 19:37 LosWochos  Ratings distributionRatings distribution 307,50680/100
 
70/100
 Report rating
07/11/2023 13:13 mostlymor  Ratings distributionRatings distribution 85,13880/100
 
70/100
 Report rating
07/03/2023 05:17 juanr1096  Ratings distributionRatings distribution 69,52179/100
 
45/100
 Report rating
06/10/2023 13:53 sssvnnn  Ratings distributionRatings distribution 71,16768/100

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 69.9/100, a mean average of 64.1/100, and a trimmed mean (excluding outliers) of 64.1/100. The standard deviation for this track is 11.6.

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