Highest Rated Maps of 2019
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#351
2.97 / 5.00 from 13 votes
#352
3.82 / 5.00 from 11 votes
#354
4.22 / 5.00 from 11 votes
#356
3.12 / 5.00 from 11 votes
#358
3.35 / 5.00 from 11 votes
#359
3.52 / 5.00 from 11 votes
#361
3.28 / 5.00 from 11 votes
#363
3.94 / 5.00 from 9 votes
#364
3.22 / 5.00 from 9 votes
#366
3.44 / 5.00 from 9 votes
#367
3.38 / 5.00 from 9 votes
#368
4.21 / 5.00 from 7 votes
#369
Taishi feat. Rita - Into the cosmos
Collab of the Cosmos 6.01*
Feb 26th, 2019
Regou, NeilPerry, Skystar, toybot, -Tochi, Sing, how2miss, den0saur, Sharu and Scub
tech, slider tech, collab
Collab of the Cosmos 6.01*
Feb 26th, 2019
Regou, NeilPerry, Skystar, toybot, -Tochi, Sing, how2miss, den0saur, Sharu and Scub
tech, slider tech, collab
3.89 / 5.00 from 10 votes
#370
3.67 / 5.00 from 10 votes
#371
4.14 / 5.00 from 9 votes
#373
After the Rain - Zettai yoiko no etc
Together 6.49*
Nov 13th, 2019
Logic Agent
bursts, alt, clean, high sv
Together 6.49*
Nov 13th, 2019
Logic Agent
bursts, alt, clean, high sv
3.65 / 5.00 from 9 votes
#374
3.50 / 5.00 from 9 votes
#375
4.07 / 5.00 from 8 votes
#377
Starlight Kukugumi - You are a ghost, I am a ghost ~Gekijou no Ghost~
La lumiere d'espoir 5.46*
Apr 20th, 2019
Gaia
La lumiere d'espoir 5.46*
Apr 20th, 2019
Gaia
3.44 / 5.00 from 8 votes
#379
3.51 / 5.00 from 9 votes
#380
3.11 / 5.00 from 12 votes
#381
3.34 / 5.00 from 10 votes
#382
3.24 / 5.00 from 11 votes
#383
3.41 / 5.00 from 10 votes
#387
2.79 / 5.00 from 16 votes
#388
3.86 / 5.00 from 10 votes
#389
3.32 / 5.00 from 12 votes
#390
3.18 / 5.00 from 10 votes
#392
3.26 / 5.00 from 11 votes
#393
3.53 / 5.00 from 8 votes
#394
3.57 / 5.00 from 9 votes
#398
Wakeshima Kanon - World's End, Girl's Rondo (Asterisk DnB Remix)
Addiction 6.17*
Feb 10th, 2019
_kotachi_
Addiction 6.17*
Feb 10th, 2019
_kotachi_
2.99 / 5.00 from 12 votes
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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.
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