Best of 2019 | Staff Picks
by Post-Trash (2019) 
Post-Trash is an independent online music magazine and community focused on indie rock, post-punk, and DIY releases. These are their best albums of 2019.
(Official website: https://post-trash.com/ | Original URL Warning: The address at the original source was valid at the time the chart was added, but may have changed afterwards. )
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Year of Release:
2019
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Rank Score:
1,691
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Year of Release:
2019
Appears in:
Rank Score:
393
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Year of Release:
2019
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Rank Score:
5,674
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Year of Release:
2019
Appears in:
Rank Score:
815
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Year of Release:
2019
Appears in:
Rank Score:
327
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Year of Release:
2019
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Rank Score:
2,481
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Year of Release:
2019
Appears in:
Rank Score:
1,213
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Total albums: 53. Page 1 of 6
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Best of 2019 | Staff Picks composition
| Artist | Albums | % | |
|---|---|---|---|
|
|
|||
| Big Thief | 2 | 4% | |
| Crumb | 1 | 2% | |
| Bill Callahan | 1 | 2% | |
| The Happy Children | 1 | 2% | |
| Water From Your Eyes | 1 | 2% | |
| Sharon Van Etten | 1 | 2% | |
| Crag Mask | 1 | 2% | |
| Show all | |||
Best of 2019 | Staff Picks similarity to your chart(s)
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Other 2019 year charts
A total of 183 charts from recognised sources are available for 2019, with the 3 most prominent highlighted below. Additionally, there are 427 user submitted charts covering this period.
| Title | Source | Type | Published | Country |
|---|---|---|---|---|
| The 50 Best Albums of 2019 | Billboard | 2019 year chart | 2019 | |
| The 10 Best Albums of 2019 | People | 2019 year chart | 2019 | |
| Best Albums of 2019 | Chicago Tribune | 2019 year chart | 2019 | |
Other charts by Post-Trash
A total of 4 charts from Post-Trash are available; the 3 most recent of this type are highlighted below.
| Title | Source | Type | Published | Country |
|---|---|---|---|---|
| Staff Picks: The Best of 2022 | Post-Trash | 2022 year chart | 2022 | |
| Best of 2021 | Staff Picks | Post-Trash | 2021 year chart | 2021 | |
| Best of 2019 | Staff Picks | Post-Trash | 2019 year chart | 2019 | |
Best of 2019 | Staff Picks ratings
Not enough data 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.
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