| Period | Scrobble count | Comparison scrobble count |
|---|---|---|
| Jan | 9 | 712 |
| Feb | 447 | 861 |
| Mar | 915 | 1644 |
| Apr | 590 | 1229 |
| May | 595 | 493 |
| Jun | 1437 | 1873 |
| Jul | 2323 | 1271 |
| Aug | 1561 | 374 |
| Sep | 956 | 59 |
| Oct | 884 | 2479 |
| Nov | 663 | 1358 |
| Dec | 1403 | 60 |
Did you know?
The first track splitfawn scrobbled this year was HAHA by Charlotte Adigéry.
Charts
Weekly scrobbles
- This year
- Last year
| Weekday | Scrobble count | Previous scrobble count |
|---|---|---|
| Mon | 1,985 | 1,363 |
| Tue | 1,408 | 1,855 |
| Wed | 1,517 | 2,065 |
| Thu | 1,615 | 1,748 |
| Fri | 1,300 | 1,849 |
| Sat | 1,925 | 1,454 |
| Sun | 2,033 | 2,079 |
Listening clock
| Hour | Scrobble count |
|---|---|
| 0 | 774 |
| 1 | 735 |
| 2 | 548 |
| 3 | 535 |
| 4 | 459 |
| 5 | 273 |
| 6 | 379 |
| 7 | 310 |
| 8 | 337 |
| 9 | 307 |
| 10 | 186 |
| 11 | 176 |
| 12 | 219 |
| 13 | 261 |
| 14 | 290 |
| 15 | 307 |
| 16 | 425 |
| 17 | 632 |
| 18 | 725 |
| 19 | 676 |
| 20 | 699 |
| 21 | 790 |
| 22 | 860 |
| 23 | 880 |
Artist Map
| Country | Top Artist | Scrobble Count |
|---|---|---|
| United States | Mac Quayle | 688 |
| United Kingdom | Aphex Twin | 257 |
| Canada | Rezz | 670 |
| Japan | Akira Yamaoka | 161 |
| France | Claude Debussy | 31 |
| Germany | Johann Sebastian Bach | 41 |
| Russian Federation | Pyotr Ilyich Tchaikovsky | 96 |
| Sweden | Cobrah | 135 |
| Austria | Bovski | 14 |
| Australia | S3RL | 37 |
| Italy | 2+2=5 | 21 |
| Poland | ogryzek | 15 |
| Spain | Zora Jones | 96 |
| Netherlands | Mr. Belt & Wezol | 11 |
| Norway | Aurora | 59 |
| Ireland | my bloody valentine | 45 |
| Korea, Republic of | Yiruma | 13 |
| New Zealand | Elliott Smith | 19 |
| Belgium | Charlotte Adigéry | 202 |
| Brazil | Amon Tobin | 10 |
| Finland | fur:trash | 15 |
| Switzerland | Golden Boy | 15 |
| Denmark | SMERZ | 4 |
| Iceland | Björk | 10 |
| China | SEBii | 2 |
| Colombia | Filmmaker | 3 |
| Czech Republic | Tomáš Dvořák | 2 |
| Israel | Infected Mushroom | 18 |
| Mexico | Avith Ortega | 6 |
| Singapore | VYLT | 1 |
| Venezuela | LIZ | 14 |
| Bulgaria | DIVINELINK | 1 |
| Belarus | King Plague | 1 |
| Chile | c678924 | 3 |
| Estonia | Arvo Pärt | 1 |
| Greece | Chris Christodoulou | 1 |
| Hungary | Franz Liszt | 2 |
| Indonesia | Ftlframe | 3 |
| Lithuania | oddscure | 1 |
| Puerto Rico | Ironmouse | 11 |
| Romania | Spinecrusher | 1 |
| None | Արամ Խաչատրյան | 2 |
| Ukraine | MoonDeity | 36 |
Music by decade
| Decade | Scrobbles | Top Album | Image | Top Decade |
|---|---|---|---|---|
| Pre-1960 | 1 | Mahler: Symphony No.5 by Gustav Mahler | https://lastfm-img.freetls.fastly.net/i/u/60x60/33e6818381e27b48ecf3d93321677169.jpg | |
| 1960s | 4 | Some Things Just Stick In Your Mind by Vashti Bunyan | https://lastfm-img.freetls.fastly.net/i/u/60x60/2cd21a5b47588960df362f5e0a7e9a58.jpg | |
| 1970s | 11 | Holst: The Planets by Gustav Holst | https://lastfm-img.freetls.fastly.net/i/u/60x60/13f57be4c6f23d76d111fb980e32421f.jpg | |
| 1980s | 35 | Sibelius: Finlandia; Valse Triste; Tapiola; The Swan Of Tuonela by Jean Sibelius | https://lastfm-img.freetls.fastly.net/i/u/60x60/75dd53b44f099e345804b4e39033e28a.jpg | |
| 1990s | 477 | Selected Ambient Works 85-92 by Aphex Twin | https://lastfm-img.freetls.fastly.net/i/u/60x60/36307d33d9e5025c8f4564748e17a5f8.jpg | |
| 2000s | 790 | Hissing Fauna, Are You the Destroyer? by of Montreal | https://lastfm-img.freetls.fastly.net/i/u/60x60/999a5b8830467c94ef8a8a9cd48b5bc5.jpg | |
| 2010s | 3334 | Mr. Robot, Vol. 1 (Original Television Series Soundtrack) by Mac Quayle | https://lastfm-img.freetls.fastly.net/i/u/60x60/7a9cde69f502fa2bf42fe933fd50ebfb.jpg | |
| 2020s | 5419 | DELTARUNE Chapters 3+4 (Original Game Soundtrack) by Toby Fox | https://lastfm-img.freetls.fastly.net/i/u/60x60/035c374b0e340b45dffa4342e806c395.jpg | true |
Music ratio
(2024)
(2024)
(2024)
Listening fingerprint
- splitfawn
- 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. | 68 | 58 | 68% Consistency |
| Discovery rate | How much new music you listened to this year. Higher percentages mean you discovered more new artists. | 54 | 48 | 54% Discovery rate |
| Variance | How diverse your listening was this year. Higher percentages mean you explored more tags. | 68 | 23 | 68% Variance |
| Concentration | How long you spent listening to your favourite artists. Higher percentages mean you spent more time with your favourites. | 30 | 41 | 30% Concentration |
| Replay rate | How often you returned to your favourite songs. | 75 | 70 | 75% Replay rate |
Quick facts
vs. 27 days, 3 hours (2024)
vs. 34 (2024)
vs. 35 (2024)
Did you know?
splitfawn listened to 21 tracks with the word ‘night’ in the title, chasing that midnight feeling 🌙
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