Period | Scrobble count | Comparison scrobble count |
---|---|---|
Jan | 2262 | 3352 |
Feb | 1663 | 2180 |
Mar | 1420 | 2638 |
Apr | 1822 | 3084 |
May | 2050 | 2571 |
Jun | 2065 | 2510 |
Jul | 3948 | 2845 |
Aug | 2486 | 3134 |
Sep | 1773 | 2965 |
Oct | 2098 | 2608 |
Nov | 1843 | 2490 |
Dec | 1625 | 2385 |
Top Music


Did you know?
The first track ADW_22 scrobbled this year was Rhapsody in Blue by Dominick Farinacci.
Charts
Weekly scrobbles
- This year
- Last year
Weekday | Scrobble count | Previous scrobble count |
---|---|---|
Mon | 3,895 | 5,431 |
Tue | 4,190 | 4,941 |
Wed | 3,373 | 4,446 |
Thu | 4,193 | 4,580 |
Fri | 3,486 | 4,252 |
Sat | 3,086 | 4,252 |
Sun | 2,832 | 4,860 |
Listening clock
Hour | Scrobble count |
---|---|
0 | 1698 |
1 | 1885 |
2 | 1857 |
3 | 1697 |
4 | 1502 |
5 | 1440 |
6 | 1399 |
7 | 1020 |
8 | 1089 |
9 | 710 |
10 | 1083 |
11 | 875 |
12 | 823 |
13 | 872 |
14 | 911 |
15 | 931 |
16 | 844 |
17 | 731 |
18 | 568 |
19 | 537 |
20 | 518 |
21 | 464 |
22 | 625 |
23 | 976 |
Artist Map
Country | Top Artist | Scrobble Count |
---|---|---|
Japan | Yorushika | 11206 |
United States | Joji | 214 |
Indonesia | Sheila on 7 | 18 |
United Kingdom | Ado | 201 |
Denmark | Thomas Hass | 34 |
Canada | Neil Swainson | 15 |
Sweden | Joel Lyssarides | 36 |
Australia | Glorb | 22 |
Germany | BaoBab | 62 |
Italy | Battista Lena | 15 |
Norway | Tord Gustavsen Trio | 42 |
Korea, Republic of | Lyn | 16 |
France | Christophe Marguet | 13 |
Spain | Doa | 32 |
Brazil | Sid | 10 |
Netherlands | Rob van Bavel | 14 |
Belgium | Michel Bisceglia | 12 |
Chile | Melissa Aldana | 1 |
Finland | Verneri Pohjola | 8 |
Hungary | Lvnt | 3 |
Ireland | The Script | 7 |
Israel | Shalosh | 29 |
India | Prithvi | 2 |
Jamaica | Sean Kingston | 1 |
Kazakhstan | Eternxlkz | 1 |
Nigeria | Asake | 1 |
Poland | Marcin Wasilewski Trio | 23 |
Puerto Rico | Daddy Yankee | 1 |
Thailand | The Rain | 3 |
Venezuela | Antonio Mazzei | 17 |
Music by decade
Decade | Scrobbles | Top Album | Image | Top Decade |
---|---|---|---|---|
Pre-1960 | 65 | Red Garland's Piano by Red Garland | https://lastfm.freetls.fastly.net/i/u/60x60/abd681f7ef3ed16ddc13b9087fb4ee60.jpg | |
1960s | 33 | What A Wonderful World by Louis Armstrong | https://lastfm.freetls.fastly.net/i/u/60x60/b39c201d20684c98afe903052ff242c9.jpg | |
1970s | 66 | A Song For You by Carpenters | https://lastfm.freetls.fastly.net/i/u/60x60/d10d3e4bf5295a5bdb751ffeb899b6e6.jpg | |
1980s | 317 | TIMELY!! by 杏里 | https://lastfm.freetls.fastly.net/i/u/60x60/a17ca8e7566902dc33efdabdd700637d.jpg | |
1990s | 295 | First Love by 宇多田ヒカル | https://lastfm.freetls.fastly.net/i/u/60x60/1af05f65408796cda71c53dc845e28d2.jpg | |
2000s | 806 | CAN'T BUY MY LOVE by YUI | https://lastfm.freetls.fastly.net/i/u/60x60/9cdda56827d74599819b1660e6dbdfd7.jpg | |
2010s | 8258 | だから僕は音楽を辞めた by Yorushika | https://lastfm.freetls.fastly.net/i/u/60x60/f210280d3bd2455b9f0eb01797c5ccb1.jpg | true |
2020s | 6862 | homemade by mamerico | https://lastfm.freetls.fastly.net/i/u/60x60/98d3af084d6eac9c8c7982d52b2e8eaa.jpg |
Music ratio
(2023)
(2023)
(2023)
Listening fingerprint
- ADW_22
- Global average
Category | Category Explanation | User Data | Global Data | Tooltip Value |
---|---|---|---|---|
Consistency | Describes how regular your music habits are. Higher percentages mean you scrobbled on more days throughout the year. | 98 | 58 | 98% Consistency |
Discovery Rate | How much new music you listened to this year. Higher percentages mean you discovered more new artists. | 35 | 48 | 35% Discovery Rate |
Variance | How diverse your listening was this year. Higher percentages mean you explored more tags. | 10 | 23 | 10% Variance |
Concentration | How long you spent listening to your favourite artists. Higher percentages mean you spent more time with your favourites. | 61 | 41 | 61% Concentration |
Replay rate | How often you returned to your favourite songs. | 94 | 70 | 94% Replay rate |
Quick facts
vs. 96 days, 4 hours (2023)
vs. 90 (2023)
vs. 90 (2023)
Did you know?
ADW_22's 2024 was ICE-COLD. They listened to 0 tracks with 'fire' in the title last year ❄️
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