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Highest Rated Maps of 2020
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#1002
2.66 / 5.00 from 4 votes
#1003
Imperial Circus Dead Decadence - Gekiai No Yobigoe Ga Dekiai No Sakebigoe Wo Kurau
Blindness and Tragedy 8.26*
Nov 5th, 2020
IsomirDiAngelo
Blindness and Tragedy 8.26*
Nov 5th, 2020
IsomirDiAngelo
2.66 / 5.00 from 4 votes
#1004
2.94 / 5.00 from 4 votes
#1005
2.13 / 5.00 from 5 votes
#1006
3.77 / 5.00 from 4 votes
#1007
2.97 / 5.00 from 5 votes
#1008
2.71 / 5.00 from 5 votes
#1009
2.11 / 5.00 from 5 votes
#1012
2.90 / 5.00 from 4 votes
#1013
4.17 / 5.00 from 3 votes
#1014
4.14 / 5.00 from 4 votes
#1015
2.46 / 5.00 from 4 votes
#1017
3.16 / 5.00 from 4 votes
#1020
3.22 / 5.00 from 4 votes
#1021
3.13 / 5.00 from 4 votes
#1022
3.13 / 5.00 from 4 votes
#1023
3.66 / 5.00 from 4 votes
#1028
Denkishiki Karen Ongaku Shuudan - Natsu no Owari (Soleily Remix)
Eschaton 5.80*
Dec 20th, 2020
- AzRaeL -
Eschaton 5.80*
Dec 20th, 2020
- AzRaeL -
4.17 / 5.00 from 4 votes
#1029
Akatsuki Records - Trance Dance Anarchy
Trynna's Expert 6.15*
Jun 12th, 2020
Trynna
simple, jump aim
Trynna's Expert 6.15*
Jun 12th, 2020
Trynna
simple, jump aim
2.82 / 5.00 from 4 votes
#1031
4.00 / 5.00 from 3 votes
#1032
3.07 / 5.00 from 4 votes
#1033
2.41 / 5.00 from 4 votes
#1034
2.79 / 5.00 from 4 votes
#1036
2.08 / 5.00 from 5 votes
#1037
IOSYS - Marisa wa Taihen na Mono wo Nusunde Ikimashita
Kowari & SMOKELIND's Lunatic 5.33*
Dec 19th, 2020
SMOKELIND
Kowari & SMOKELIND's Lunatic 5.33*
Dec 19th, 2020
SMOKELIND
2.44 / 5.00 from 4 votes
#1039
3.02 / 5.00 from 4 votes
#1040
2.76 / 5.00 from 4 votes
#1041
3.88 / 5.00 from 6 votes
#1043
2.75 / 5.00 from 4 votes
#1044
2.83 / 5.00 from 4 votes
#1045
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
3.83 / 5.00 from 3 votes
#1046
3.83 / 5.00 from 3 votes
#1047
3.53 / 5.00 from 5 votes
#1048
2.71 / 5.00 from 4 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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