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Highest Rated Maps of All Time
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#6001
2.98 / 5.00 from 8 votes
#6003
3.66 / 5.00 from 8 votes
#6006
3.20 / 5.00 from 9 votes
#6011
3.63 / 5.00 from 7 votes
#6012
uno(IOSYS) - #Fairy_dancing_in_lake
? 20.16*
May 24th, 2018
fanzhen0019
avant-garde, chaotic, improvisation, bursts, aspire, high sv
? 20.16*
May 24th, 2018
fanzhen0019
avant-garde, chaotic, improvisation, bursts, aspire, high sv
3.45 / 5.00 from 10 votes
#6013
DragonForce - Highway to Oblivion
Legend 7.16*
Jan 19th, 2020
Kilabarus and KappaPraise
streams, marathon
Legend 7.16*
Jan 19th, 2020
Kilabarus and KappaPraise
streams, marathon
2.69 / 5.00 from 10 votes
#6014
Kucchi (DARKSIDE APPROACH) - Yakumo >>JOINT STRUGGLE (2019 Update)
Luscent's Boundary Extra 6.72*
Mar 11th, 2023
Luscent
Luscent's Boundary Extra 6.72*
Mar 11th, 2023
Luscent
3.47 / 5.00 from 7 votes
#6015
2.54 / 5.00 from 14 votes
#6018
3.66 / 5.00 from 8 votes
#6021
3.52 / 5.00 from 8 votes
#6022
Ni-Sokkususu - Blade Dance
sahuang's Expert 5.54*
Jun 4th, 2019
sahuang
geometric, repetition, jump aim, bursts
sahuang's Expert 5.54*
Jun 4th, 2019
sahuang
geometric, repetition, jump aim, bursts
4.05 / 5.00 from 8 votes
#6023
2.84 / 5.00 from 10 votes
#6025
4.11 / 5.00 from 6 votes
#6027
3.00 / 5.00 from 9 votes
#6028
3.61 / 5.00 from 7 votes
#6029
3.61 / 5.00 from 7 votes
#6030
3.34 / 5.00 from 7 votes
#6031
3.91 / 5.00 from 8 votes
#6033
2.76 / 5.00 from 10 votes
#6034
3.01 / 5.00 from 8 votes
#6036
2.87 / 5.00 from 9 votes
#6038
3.63 / 5.00 from 7 votes
#6039
4.09 / 5.00 from 6 votes
#6041
2.92 / 5.00 from 10 votes
#6042
3.34 / 5.00 from 7 votes
#6043
3.36 / 5.00 from 8 votes
#6044
Emilie Autumn - I Know Where You Sleep
Psychotic 5.15*
Dec 28th, 2009
Mogsy
geometric, symmetrical, aim control
Psychotic 5.15*
Dec 28th, 2009
Mogsy
geometric, symmetrical, aim control
2.76 / 5.00 from 10 votes
#6046
4.40 / 5.00 from 7 votes
#6048
3.44 / 5.00 from 8 votes
#6049
3.65 / 5.00 from 8 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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