you can now review maps!
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Highest Rated Maps of 2020
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#801
TUYU - Doro no Bunzai de Watashi dake no Taisetsu o Ubaouda nante
Shallowness 6.90*
Dec 22nd, 2020
banter
Shallowness 6.90*
Dec 22nd, 2020
banter
2.37 / 5.00 from 7 votes
#803
4.24 / 5.00 from 4 votes
#805
2.79 / 5.00 from 5 votes
#806
3.29 / 5.00 from 5 votes
#807
3.63 / 5.00 from 4 votes
#808
3.63 / 5.00 from 4 votes
#809
3.63 / 5.00 from 4 votes
#810
3.63 / 5.00 from 4 votes
#811
2.36 / 5.00 from 8 votes
#812
3.43 / 5.00 from 5 votes
#813
Akatsuki Records - Trance Dance Anarchy
Trynna's Expert 6.15*
Jun 12th, 2020
Trynna
jump aim, simple, wide aim
Trynna's Expert 6.15*
Jun 12th, 2020
Trynna
jump aim, simple, wide aim
3.17 / 5.00 from 5 votes
#814
Uinyasu, Occhoko Bunny - Aa Kenran no Yume ga Gotoku (Epsilon Remix)
Matha's Insane 5.28*
Oct 27th, 2020
Petal
Matha's Insane 5.28*
Oct 27th, 2020
Petal
3.75 / 5.00 from 4 votes
#817
3.47 / 5.00 from 5 votes
#818
kamome sano - charlotte aux framboises (colate+kamome sano Remix) [feat. mami]
Kalisomi's Extra 5.96*
Mar 4th, 2020
Kalibe and Yusomi
collab
Kalisomi's Extra 5.96*
Mar 4th, 2020
Kalibe and Yusomi
collab
4.12 / 5.00 from 6 votes
#819
3.62 / 5.00 from 5 votes
#822
3.50 / 5.00 from 4 votes
#823
3.50 / 5.00 from 5 votes
#824
3.50 / 5.00 from 4 votes
#825
3.50 / 5.00 from 4 votes
#827
3.50 / 5.00 from 4 votes
#828
4.37 / 5.00 from 5 votes
#829
2.68 / 5.00 from 6 votes
#831
3.71 / 5.00 from 6 votes
#833
4.14 / 5.00 from 4 votes
#834
2.34 / 5.00 from 7 votes
#836
2.75 / 5.00 from 6 votes
#837
2.99 / 5.00 from 8 votes
#839
4.09 / 5.00 from 4 votes
#841
3.38 / 5.00 from 4 votes
#842
3.38 / 5.00 from 4 votes
#843
3.38 / 5.00 from 4 votes
#848
Camellia - M1LLI0N PP
1NF1NITE : PP = M1LLI0N {FULL FL... 44.87*
Dec 4th, 2020
xArief
collab, chaotic
1NF1NITE : PP = M1LLI0N {FULL FL... 44.87*
Dec 4th, 2020
xArief
collab, chaotic
4.05 / 5.00 from 4 votes
#849
3.24 / 5.00 from 5 votes
#850
2.68 / 5.00 from 5 votes
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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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