2024
Scrobbles
72
97% vs. 2023
Period Scrobble count Comparison scrobble count
Jan 9 188
Feb 0 325
Mar 0 179
Apr 5 149
May 13 222
Jun 2 446
Jul 15 65
Aug 16 140
Sep 0 98
Oct 11 254
Nov 1 48
Dec 0 19

Top Music

Artists
23
95%
New Artists
48%
37%
Albums
18
96%
New Albums
67%
16%
Tracks
64
97%
New Tracks
48%
42%

Did you know?

The first track Python-er scrobbled this year was Enter Hallownest by Christopher Larkin.

Charts

Weekly scrobbles

  • This year
  • Last year
Weekday Scrobble count Previous scrobble count
Mon 16 401
Tue 5 356
Wed 11 269
Thu 19 287
Fri 14 239
Sat 2 316
Sun 5 265
Busiest day
Thursday
Scrobbles in busiest day
19

Listening clock

Hour Scrobble count
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 0
10 4
11 1
12 14
13 7
14 2
15 2
16 19
17 3
18 11
19 3
20 2
21 0
22 1
23 3
Busiest hour
4:00pm
Scrobbles in busiest hour
19

Top tags

Tag Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
experimental 5 0 0 2 0 0 0 3 0 0 0 0
ambient 3 0 0 2 4 1 6 0 0 11 0 0
minimal 3 0 0 0 0 0 0 0 0 0 0 0
noise 2 0 0 0 0 0 0 0 0 0 0 0
electronic 1 0 0 2 7 2 8 2 0 1 0 0
idm 0 0 0 2 10 1 6 0 0 0 0 0
techno 0 0 0 1 0 0 0 0 0 0 0 0
downtempo 0 0 0 0 3 0 0 0 0 1 0 0
electronica 0 0 0 0 1 0 0 0 0 0 0 0
chillout 0 0 0 0 0 2 6 0 0 0 0 0
indie 0 0 0 0 0 0 0 0 0 0 0 0
deepspaceone 0 0 0 0 0 0 3 0 0 0 0 0
multiple tracks 0 0 0 0 0 0 0 6 0 0 0 0
instrumental 0 0 0 0 0 0 0 2 0 0 0 0
post-meme rap 0 0 0 0 0 0 0 2 0 0 0 0
soundtrack 0 0 0 0 0 0 0 0 0 0 0 0
witch house 0 0 0 0 0 0 0 0 0 0 1 0
russian 0 0 0 0 0 0 0 0 0 0 0 0
post-whatever 0 0 0 0 0 0 0 0 0 0 0 0

Artist Map

Country Top Artist Scrobble Count
United Kingdom Boards of Canada 17
Russian Federation Шесть Мертвых Болгаръ 4
United States Nine Inch Nails 1
Australia Christopher Larkin 1
Germany Skee Mask 1
Finland Mika Vainio 3
Iran, Islamic Republic of bicolor 1
Italy Heith 1

Music by decade

Decade Scrobbles Top Album Image Top Decade
Pre-1960 0 /static/images/listening-report/v3/default_album.c052a79f9ec6.svg
1960s 0 /static/images/listening-report/v3/default_album.c052a79f9ec6.svg
1970s 0 /static/images/listening-report/v3/default_album.c052a79f9ec6.svg
1980s 0 /static/images/listening-report/v3/default_album.c052a79f9ec6.svg
1990s 3 Onko by Mika Vainio https://lastfm.freetls.fastly.net/i/u/60x60/eecf08a73af01515c660f52d35d721fb.jpg
2000s 3 Moon Mountain Of The Fords by Frog Pocket https://lastfm.freetls.fastly.net/i/u/60x60/732f98a2049d719ecb2f30c44e64741d.jpg
2010s 51 Tomorrow's Harvest by Boards of Canada https://lastfm.freetls.fastly.net/i/u/60x60/a107b54f27c441a7a745332f5510f271.jpg true
2020s 6 some songs of a dumb world by Species of Fishes https://lastfm.freetls.fastly.net/i/u/60x60/10f9ccbe54364cb8dfbe0e0ac9e3d7de.jpg

Music ratio

Tracks
64
vs. 1,688
(2023)
Albums
18
vs. 419
(2023)
Artists
23
vs. 436
(2023)

Listening fingerprint

  • Python-er
  • 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. 4 58 4% Consistency
Discovery Rate How much new music you listened to this year. Higher percentages mean you discovered more new artists. 48 48 48% Discovery Rate
Variance How diverse your listening was this year. Higher percentages mean you explored more tags. 45 23 45% Variance
Concentration How long you spent listening to your favourite artists. Higher percentages mean you spent more time with your favourites. 82 41 82% Concentration
Replay rate How often you returned to your favourite songs. 11 70 11% Replay rate

Quick facts

Listening time
5
hours
100%

vs. 43 days, 4 hours (2023)

Average scrobbles
0
/day
100%

vs. 6 (2023)

Longest streak
2
days in a row
13

vs. 15 (2023)

Scrobbles in most active day
15
18 Jul
76

vs. 91 (2023)

Loved tracks
0
18

vs. 18 (2023)

Events attended
0
0

vs. 0 (2023)

Did you know?

Python-er's 2024 was ICE-COLD. They listened to 0 tracks with 'fire' in the title last year ❄️

Community

API Calls

Scrobble from Spotify?

Connect your Spotify account to your Last.fm account and scrobble everything you listen to, from any Spotify app on any device or platform.

Connect to Spotify

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