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Highest Rated Maps of All Time
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#8201
3.20 / 5.00 from 6 votes
#8203
3.77 / 5.00 from 6 votes
#8205
3.22 / 5.00 from 7 votes
#8207
3.30 / 5.00 from 5 votes
#8208
3.30 / 5.00 from 5 votes
#8209
3.30 / 5.00 from 5 votes
#8210
3.74 / 5.00 from 6 votes
#8211
2.50 / 5.00 from 8 votes
#8212
3.33 / 5.00 from 6 votes
#8213
3.34 / 5.00 from 6 votes
#8215
DJ Earworm - United State Of Pop 2007 (The First USPOP)
Collab 3.65*
Jan 24th, 2024
fluxie31 and vyper
old-style revival, collab, distance snapped
Collab 3.65*
Jan 24th, 2024
fluxie31 and vyper
old-style revival, collab, distance snapped
3.39 / 5.00 from 7 votes
#8217
3.33 / 5.00 from 6 votes
#8221
kamome sano - Elemental Creation (kamome sano Remix)
MAXIMUM 6.75*
Jul 2nd, 2022
UberFazz
tournament custom
MAXIMUM 6.75*
Jul 2nd, 2022
UberFazz
tournament custom
2.88 / 5.00 from 7 votes
#8222
3.56 / 5.00 from 6 votes
#8223
Team.Nekokan - Airman ga Taosenai (10-shuunen version)
Holy Shit! It's Len's Classic Ex... 6.80*
May 18th, 2023
Len
Holy Shit! It's Len's Classic Ex... 6.80*
May 18th, 2023
Len
2.51 / 5.00 from 7 votes
#8224
Felicia Barton - DuckTales (TV Size)
Hard 2.82*
May 27th, 2021
mindmaster107
simple, grid snap, iNiS-style, old-style revival
Hard 2.82*
May 27th, 2021
mindmaster107
simple, grid snap, iNiS-style, old-style revival
2.87 / 5.00 from 7 votes
#8227
3.71 / 5.00 from 5 votes
#8230
3.16 / 5.00 from 7 votes
#8231
2.61 / 5.00 from 7 votes
#8235
3.20 / 5.00 from 6 votes
#8236
Hakase (CV: Konno Hiromi) - Hakase no Suki Nano Nano
The cutest Robot 5.03*
Apr 17th, 2023
Fish Rose
The cutest Robot 5.03*
Apr 17th, 2023
Fish Rose
2.94 / 5.00 from 6 votes
#8238
2.57 / 5.00 from 8 votes
#8239
2.76 / 5.00 from 6 votes
#8240
3.01 / 5.00 from 8 votes
#8241
3.23 / 5.00 from 6 votes
#8242
3.35 / 5.00 from 8 votes
#8243
3.83 / 5.00 from 6 votes
#8245
3.32 / 5.00 from 6 votes
#8246
3.32 / 5.00 from 6 votes
#8247
3.32 / 5.00 from 6 votes
#8250
3.54 / 5.00 from 6 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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