Highest Rated Maps of 2019
«
1
2
3
4
5
6
7
8
9
»
#502
2.60 / 5.00 from 13 votes
#503
Twenty One Pilots - Heathens (Magnetude Bootleg)
blasphemy 6.67*
Jun 9th, 2019
Cassu2
marathon, storyboard
blasphemy 6.67*
Jun 9th, 2019
Cassu2
marathon, storyboard
2.92 / 5.00 from 9 votes
#504
3.10 / 5.00 from 8 votes
#505
2.96 / 5.00 from 8 votes
#506
4.21 / 5.00 from 6 votes
#507
3.92 / 5.00 from 7 votes
#508
2.88 / 5.00 from 8 votes
#511
Tamaki to Yumine (CV*Naganawa Maria, Maekawa Ryoko) - Yonakajikaru [TV Size]
tukamoto7km, KogumaX, and rrtyui... 4.86*
Dec 24th, 2019
rrtyui
high contrast, slider tech, collab, slidershapes, storyboard
tukamoto7km, KogumaX, and rrtyui... 4.86*
Dec 24th, 2019
rrtyui
high contrast, slider tech, collab, slidershapes, storyboard
4.16 / 5.00 from 8 votes
#513
3.04 / 5.00 from 9 votes
#514
Poppin'Party x Aya (CV: Maeshima Ami) x Kokoro (CV: Itou Miku) - Geki! Teikoku Kagekidan
Left x Karen x bbj0920's Expert 5.75*
Aug 4th, 2019
Akiyama Mizuki, Karen and Left
Left x Karen x bbj0920's Expert 5.75*
Aug 4th, 2019
Akiyama Mizuki, Karen and Left
3.74 / 5.00 from 8 votes
#515
3.43 / 5.00 from 7 votes
#518
3.75 / 5.00 from 6 votes
#519
Chata - ennb
aniem's Extra 6.84*
Aug 28th, 2019
Kalibe, Haruto, Fixxis, Agatsu, tomadoi, Akito, Senseabel, Gillstar, iljaaz, Deca, coco and amity
megacollab
aniem's Extra 6.84*
Aug 28th, 2019
Kalibe, Haruto, Fixxis, Agatsu, tomadoi, Akito, Senseabel, Gillstar, iljaaz, Deca, coco and amity
megacollab
3.55 / 5.00 from 7 votes
#520
3.81 / 5.00 from 8 votes
#521
4.10 / 5.00 from 7 votes
#524
3.49 / 5.00 from 7 votes
#525
3.00 / 5.00 from 8 votes
#526
3.75 / 5.00 from 6 votes
#530
2.72 / 5.00 from 10 votes
#531
2.66 / 5.00 from 9 votes
#532
3.14 / 5.00 from 7 votes
#534
2.60 / 5.00 from 17 votes
#537
3.50 / 5.00 from 7 votes
#538
3.85 / 5.00 from 6 votes
#539
3.28 / 5.00 from 8 votes
#541
3.50 / 5.00 from 6 votes
#543
2.61 / 5.00 from 9 votes
#545
2.57 / 5.00 from 12 votes
#549
2.78 / 5.00 from 8 votes
#550
2.79 / 5.00 from 8 votes
Filters
Info
The chart is based on an implementation of the Bayesian average method. It updates once every day.
The next update will happen in ---
Ratings are weighed based on user rating quality, one contributing factor being their rating distribution.
Info
The chart is based on an implementation of the Bayesian average method. It updates once every day.
The next update will happen in ---
Ratings are weighed based on user rating quality, one contributing factor being their rating distribution.
«
1
2
3
4
5
6
7
8
9
»