you can now review maps!
reviews are moderated more strictly, please don't abuse it!
Highest Rated Maps of 2021
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#951
3.20 / 5.00 from 5 votes
#952
3.20 / 5.00 from 5 votes
#955
3.54 / 5.00 from 5 votes
#957
3.29 / 5.00 from 7 votes
#958
2.84 / 5.00 from 6 votes
#962
2.89 / 5.00 from 6 votes
#964
4.30 / 5.00 from 6 votes
#965
3.22 / 5.00 from 5 votes
#966
2.85 / 5.00 from 6 votes
#967
Shikata Akiko - Byakumu no Mayu ~Ricordando il passato~
Ephemeral 4.04*
Sep 5th, 2021
Kalibe and Scub
Ephemeral 4.04*
Sep 5th, 2021
Kalibe and Scub
3.47 / 5.00 from 5 votes
#970
2.84 / 5.00 from 6 votes
#971
3.10 / 5.00 from 5 votes
#972
3.10 / 5.00 from 5 votes
#973
3.10 / 5.00 from 5 votes
#974
3.10 / 5.00 from 5 votes
#976
Ted Poley & Tony Harnell - Escape From The City (Cash Cash RMX)
Follow Me! 4.24*
Dec 13th, 2021
Aranel
symmetrical
Follow Me! 4.24*
Dec 13th, 2021
Aranel
symmetrical
3.10 / 5.00 from 5 votes
#977
typeMARS - Triumph & Regret
Regret 6.33*
Jul 1st, 2021
Appetible
marathon, repetition, jump aim, spaced streams, simple, clean, symmetrical
Regret 6.33*
Jul 1st, 2021
Appetible
marathon, repetition, jump aim, spaced streams, simple, clean, symmetrical
2.73 / 5.00 from 6 votes
#978
2.93 / 5.00 from 6 votes
#979
2.78 / 5.00 from 6 votes
#980
Konoe Kanata (CV: Kito Akari) - Butterfly (TV Size)
Beyond 5.62*
Apr 23rd, 2021
Lulu-
slider tech, flow aim, slidershapes, high sv, video gimmick
Beyond 5.62*
Apr 23rd, 2021
Lulu-
slider tech, flow aim, slidershapes, high sv, video gimmick
3.39 / 5.00 from 5 votes
#983
3.24 / 5.00 from 6 votes
#986
3.33 / 5.00 from 6 votes
#987
3.42 / 5.00 from 6 votes
#988
PinocchioP feat. Hatsune Miku - Mushroom Mother
Collab Insane 5.41*
Nov 1st, 2021
AJT and YokesPai
finger control, bursts, collab, wide aim, reading
Collab Insane 5.41*
Nov 1st, 2021
AJT and YokesPai
finger control, bursts, collab, wide aim, reading
3.09 / 5.00 from 5 votes
#990
2.54 / 5.00 from 13 votes
#998
3.76 / 5.00 from 5 votes
#1000
3.00 / 5.00 from 5 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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