2024
Scrobbles
1,147
9% vs. 2023
Period Scrobble count Comparison scrobble count
Jan 249 0
Feb 260 0
Mar 485 0
Apr 98 7
May 0 7
Jun 0 18
Jul 0 36
Aug 13 410
Sep 3 38
Oct 0 3
Nov 0 281
Dec 39 457

Top Music

Artists
107
49%
New Artists
33%
42%
Albums
170
48%
New Albums
34%
45%
Tracks
274
34%
New Tracks
42%
36%

Did you know?

The first track mqyyy7 scrobbled this year was Initiation - Original by The Weeknd.

Charts

Weekly scrobbles

  • This year
  • Last year
Weekday Scrobble count Previous scrobble count
Mon 127 177
Tue 195 168
Wed 290 279
Thu 191 87
Fri 143 104
Sat 109 241
Sun 92 201
Busiest day
Wednesday
Scrobbles in busiest day
290

Listening clock

Hour Scrobble count
0 28
1 25
2 6
3 9
4 8
5 41
6 58
7 47
8 51
9 98
10 119
11 60
12 55
13 61
14 47
15 40
16 32
17 39
18 40
19 47
20 78
21 103
22 21
23 34
Busiest hour
10:00am
Scrobbles in busiest hour
119

Top tags

Tag Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
rap 77 46 123 22 0 0 0 0 1 0 0 0
rnb 47 64 94 38 0 0 0 0 0 0 0 5
hip-hop 39 40 79 17 0 0 0 0 1 0 0 0
electronic 29 0 0 0 0 0 0 0 0 0 0 0
trap 26 0 0 0 0 0 0 0 0 0 0 0
soul 0 42 77 14 0 0 0 0 0 0 0 0
cloud rap 0 40 0 0 0 0 0 0 2 0 0 0
canadian 0 0 64 0 0 0 0 0 0 0 0 0
r&b 0 0 0 11 0 0 0 0 0 0 0 0
easy listening 0 0 0 0 0 0 0 10 0 0 0 0
jazz 0 0 0 0 0 0 0 10 0 0 0 10
chillout 0 0 0 0 0 0 0 7 0 0 0 0
ambient 0 0 0 0 0 0 0 7 0 0 0 0
lounge 0 0 0 0 0 0 0 3 0 0 0 0
swag 0 0 0 0 0 0 0 0 0 0 0 0
southern hip-hop 0 0 0 0 0 0 0 0 0 0 0 0
christmas 0 0 0 0 0 0 0 0 0 0 0 7
soundtrack 0 0 0 0 0 0 0 0 0 0 0 6
literally me 0 0 0 0 0 0 0 0 0 0 0 6

Artist Map

Country Top Artist Scrobble Count
United States A$AP Rocky 114
Canada The Weeknd 234
United Kingdom Amy Winehouse 12
France Kavinsky 12
Germany Troop 12
Italy Nino Rota 8
Netherlands Sunset Trio 2
Sweden Lucky Twice 2

Music by decade

Decade Scrobbles Top Album Image Top Decade
Pre-1960 0 /static/images/listening-report/v3/default_album.c052a79f9ec6.svg
1960s 3 Merry Ole Soul by Duke Pearson https://lastfm.freetls.fastly.net/i/u/60x60/584249c071594715c77900cc857b63ad.jpg
1970s 11 Taxi Driver by Bernard Herrmann https://lastfm.freetls.fastly.net/i/u/60x60/586d43dfaa24b2d4afb977511284b8e0.jpg
1980s 15 Attitude by Troop https://lastfm.freetls.fastly.net/i/u/60x60/b44fd4ee531a2ececbde72abb6f9572d.jpg
1990s 75 My Life by Mary J. Blige https://lastfm.freetls.fastly.net/i/u/60x60/8e11a2d5c276fe38ec650888632e18f1.jpg
2000s 43 Back to Black (Deluxe Edition) by Amy Winehouse https://lastfm.freetls.fastly.net/i/u/60x60/4273d48ccec83b4d0eac27eb49119215.jpg
2010s 689 Trilogy by The Weeknd https://lastfm.freetls.fastly.net/i/u/60x60/420479ebfa2c11e0c9310d2183854446.jpg true
2020s 286 Fiend Lives Matter by Rio Da Yung OG https://lastfm.freetls.fastly.net/i/u/60x60/b363c6fe80149b75029782c4ace1a3c0.jpg

Music ratio

Tracks
274
vs. 415
(2023)
Albums
170
vs. 322
(2023)
Artists
107
vs. 209
(2023)

Listening fingerprint

  • mqyyy7
  • 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. 19 58 19% Consistency
Discovery Rate How much new music you listened to this year. Higher percentages mean you discovered more new artists. 33 48 33% 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. 61 41 61% Concentration
Replay rate How often you returned to your favourite songs. 76 70 76% Replay rate

Quick facts

Listening time
2
days, 22 hours
2%

vs. 2 days, 23 hours (2023)

Average scrobbles
3
/day
0%

vs. 3 (2023)

Longest streak
10
days in a row
0

vs. 10 (2023)

Scrobbles in most active day
68
23 Jan
12

vs. 80 (2023)

Loved tracks
0
0

vs. 0 (2023)

Events attended
0
0

vs. 0 (2023)

Did you know?

mqyyy7's 2024 was ICE-COLD. They listened to 0 tracks with 'fire' in the title last year ❄️

Community

vs. 1 (2023)
vs. 1 (2023)

API Calls

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