Battle Axe (track)
by Quiet Riot

Battle Axe by Quiet Riot
Year: 1983
From the album Metal Health (track #8)
Average Rating: 
73/100 (from 13 votes)
  Ratings distribution   Average rating history

Listen on Spotify SPOTIFY
Metal Health (10 tracks) « Previous track (#7)
Run For Cover
This track (#8)
Battle Axe
Next track (#9) »
Let's Get Crazy

Battle Axe appears on the following album(s) by Quiet Riot:


Product Details
Availability

eBay
eBay
Quiet Riot Metal Health CD ORIGINAL EARLY PRESS! Pasha ZK38443 Battle Axe RARE!
Condition: Very Good


eBay
eBay
Quiet Riot Metal Health CD DADC PRESS! 1985 Pasha ZK 38443 Battle Axe RARE! OOP!
Condition: Like New


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Upcoming concerts

Mar
28
Sat
Great White and Slaughter and Quiet Riot
Lawrenceburg Event Center, Lawrenceburg, United States. United States
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Apr
10
Fri
Quiet Riot
The Showroom at the Golden Nugget, Las Vegas, United States. United States
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Jul
24
Fri
Slaughter / Quiet Riot / Tuff
Grove of Anaheim, Anaheim, United States. United States
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Battle Axe ratings

Average Rating: 
73/100 (from 13 votes)
  Ratings distribution Help 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 13 ratings for this track.

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RatingDate updatedMemberTrack ratingsAvg. track rating
 
55/100
 
11/09/2025 14:18 Exist-en-ciel  Ratings distribution  80,77270/100
 
60/100
 
07/25/2025 03:24 AAL2014  Ratings distribution  35,87376/100
 
50/100
 
06/11/2024 12:38 paladisiac  Ratings distribution  82,88364/100
 
80/100
 
10/20/2023 07:14 Fevernova  Ratings distribution  34,27282/100
 
50/100
 
05/10/2023 16:57 dougcummings  Ratings distribution  23,54469/100

Rating metrics: Help 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 72.6/100, a mean average of 70.0/100, and a trimmed mean (excluding outliers) of 70.0/100. The standard deviation for this track is 12.2.

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