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Highest Rated Maps of 2016
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#202
3.49 / 5.00 from 10 votes
#204
3.72 / 5.00 from 11 votes
#205
Camellia - Exit This Earth's Atomosphere
GiRLC's Intangible 6.01*
Aug 28th, 2016
RLC and Girl
tech, collab, marathon, storyboard
GiRLC's Intangible 6.01*
Aug 28th, 2016
RLC and Girl
tech, collab, marathon, storyboard
2.70 / 5.00 from 18 votes
#206
3.47 / 5.00 from 11 votes
#208
SYUNN - Megalara Garuda
Intensity 7.70*
Nov 22nd, 2016
Callionet
chaotic, symmetrical, tech, aim control, cutstreams, clean
Intensity 7.70*
Nov 22nd, 2016
Callionet
chaotic, symmetrical, tech, aim control, cutstreams, clean
3.81 / 5.00 from 11 votes
#209
3.42 / 5.00 from 12 votes
#210
3.91 / 5.00 from 10 votes
#211
3.31 / 5.00 from 11 votes
#212
3.63 / 5.00 from 11 votes
#217
Mamonis - The Sampling Paradise (Extended)
LET'S GET SCRATCHIN' 5.53*
Jun 23rd, 2016
RLC
slidershapes, 2B
LET'S GET SCRATCHIN' 5.53*
Jun 23rd, 2016
RLC
slidershapes, 2B
3.18 / 5.00 from 13 votes
#218
3.03 / 5.00 from 13 votes
#219
Kasumigaoka Utaha (CV.Kayano Ai) - (Vocal) you
Matsuribayashi 4.86*
Jan 1st, 2016
Osu Mapman
progression, improvisation
Matsuribayashi 4.86*
Jan 1st, 2016
Osu Mapman
progression, improvisation
4.31 / 5.00 from 10 votes
#220
3.45 / 5.00 from 11 votes
#221
2.88 / 5.00 from 16 votes
#223
3.66 / 5.00 from 11 votes
#225
3.37 / 5.00 from 11 votes
#226
LeaF - Paraclete
Serendipity 7.32*
Aug 22nd, 2016
Kroytz
geometric, symmetrical, streams, stamina, clean, keysounds
Serendipity 7.32*
Aug 22nd, 2016
Kroytz
geometric, symmetrical, streams, stamina, clean, keysounds
2.88 / 5.00 from 14 votes
#227
3.47 / 5.00 from 11 votes
#229
2.99 / 5.00 from 12 votes
#232
3.55 / 5.00 from 10 votes
#236
2.66 / 5.00 from 16 votes
#237
4.14 / 5.00 from 12 votes
#239
3.58 / 5.00 from 11 votes
#240
3.74 / 5.00 from 12 votes
#241
3.47 / 5.00 from 10 votes
#244
3.37 / 5.00 from 9 votes
#246
3.62 / 5.00 from 9 votes
#247
4.14 / 5.00 from 9 votes
#248
4.05 / 5.00 from 9 votes
#249
3.61 / 5.00 from 10 votes
#250
3.68 / 5.00 from 11 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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