March Of The Swiss Soldiers (track)
by Ella Fitzgerald
Year: 1959
From the album Ella Fitzgerald Sings The George And Ira Gershwin Songbook (track #2)
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March Of The Swiss Soldiers appears on the following album(s) by Ella Fitzgerald:
- Ella Fitzgerald Sings The George And Ira Gershwin Songbook (track #2) (this album) (1959)
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Listen to March Of The Swiss Soldiers on YouTube
March Of The Swiss Soldiers 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 11 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| 01/10/2026 16:39 | Siromynian | 16,231 | 70/100 | |
| 12/23/2025 03:37 | Exist-en-ciel | 84,402 | 71/100 | |
| 03/20/2025 15:56 | spinout | 39,089 | 83/100 | |
| 11/27/2023 12:15 | Fertu | 40,982 | 82/100 | |
| 12/22/2021 22:13 |  Jboy56 | 39,199 | 78/100 |
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 15% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 78.1/100, a mean average of 80.0/100, and a trimmed mean (excluding outliers) of 80.0/100. The standard deviation for this track is 10.2.
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