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Highest Rated Maps of All Time
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#8051
3.07 / 5.00 from 8 votes
#8052
2.41 / 5.00 from 10 votes
#8053
3.85 / 5.00 from 7 votes
#8057
2.71 / 5.00 from 7 votes
#8058
3.89 / 5.00 from 8 votes
#8059
3.83 / 5.00 from 6 votes
#8064
2.84 / 5.00 from 7 votes
#8065
2.84 / 5.00 from 7 votes
#8069
2.64 / 5.00 from 7 votes
#8072
2.54 / 5.00 from 8 votes
#8073
3.39 / 5.00 from 6 votes
#8074
3.39 / 5.00 from 6 votes
#8075
Thank You Scientist - Mr. Invisible
Normal 2.51*
Jun 2nd, 2020
Nowaie
marathon, storyboard, featured artist
Normal 2.51*
Jun 2nd, 2020
Nowaie
marathon, storyboard, featured artist
3.25 / 5.00 from 6 votes
#8076
Mifune Shioriko (CV: Koizumi Moeka) - Aoi Canaria
True Freedom 5.59*
Jan 2nd, 2023
Murada
geometric, jump aim, clean
True Freedom 5.59*
Jan 2nd, 2023
Murada
geometric, jump aim, clean
2.57 / 5.00 from 7 votes
#8077
2.57 / 5.00 from 7 votes
#8078
4.36 / 5.00 from 5 votes
#8079
2.60 / 5.00 from 9 votes
#8081
3.83 / 5.00 from 6 votes
#8082
3.50 / 5.00 from 8 votes
#8083
3.24 / 5.00 from 6 votes
#8084
2.83 / 5.00 from 7 votes
#8085
3.38 / 5.00 from 6 votes
#8086
4.25 / 5.00 from 6 votes
#8087
4.40 / 5.00 from 6 votes
#8088
2.80 / 5.00 from 7 votes
#8089
2.62 / 5.00 from 9 votes
#8090
3.48 / 5.00 from 6 votes
#8091
3.64 / 5.00 from 6 votes
#8092
3.19 / 5.00 from 9 votes
#8095
Inori Minase, Sakura Ayane - Senryakuteki de Yosoku Funou na Love Comedy no Ending Kyoku (TV Size)
Armada's Extra 5.57*
Apr 30th, 2023
Armada
Armada's Extra 5.57*
Apr 30th, 2023
Armada
2.98 / 5.00 from 6 votes
#8096
3.95 / 5.00 from 6 votes
#8099
Kobaryo - SUPER MEMORIES X [feat. HiTNEX-X]
SUPER REUNION 6.82*
Oct 5th, 2023
Otosaka-Yu
marathon, variable timing
SUPER REUNION 6.82*
Oct 5th, 2023
Otosaka-Yu
marathon, variable timing
4.15 / 5.00 from 5 votes
#8100
4.18 / 5.00 from 7 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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