Highest Rated Maps of 2016
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#251
3.39 / 5.00 from 10 votes
#255
3.09 / 5.00 from 12 votes
#256
3.21 / 5.00 from 10 votes
#258
3.43 / 5.00 from 10 votes
#259
3.38 / 5.00 from 10 votes
#260
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
2.84 / 5.00 from 13 votes
#263
2.92 / 5.00 from 12 votes
#265
3.39 / 5.00 from 9 votes
#266
3.28 / 5.00 from 9 votes
#267
3.54 / 5.00 from 10 votes
#268
4.37 / 5.00 from 11 votes
#270
3.33 / 5.00 from 10 votes
#271
2.73 / 5.00 from 13 votes
#273
3.82 / 5.00 from 10 votes
#275
2.92 / 5.00 from 11 votes
#276
4.14 / 5.00 from 8 votes
#278
2.82 / 5.00 from 12 votes
#279
2.72 / 5.00 from 14 votes
#281
3.64 / 5.00 from 10 votes
#284
3.52 / 5.00 from 9 votes
#286
Maduk - Liquicity Yearmix 2015
Marathon 5.86*
Sep 12th, 2016
Exote, azr8, Strategas, Xilver15, pishifat and RyoKazuka
simple, freeform, jump aim, bursts, collab, gungathon
Marathon 5.86*
Sep 12th, 2016
Exote, azr8, Strategas, Xilver15, pishifat and RyoKazuka
simple, freeform, jump aim, bursts, collab, gungathon
4.14 / 5.00 from 8 votes
#289
2.93 / 5.00 from 10 votes
#290
2.97 / 5.00 from 10 votes
#291
Nanahoshi Kangengakudan feat.Matsushita - Dance Number o Tomo ni
deetz' Insane 5.12*
Sep 16th, 2016
ac8129464363
deetz' Insane 5.12*
Sep 16th, 2016
ac8129464363
3.31 / 5.00 from 8 votes
#292
3.41 / 5.00 from 9 votes
#297
3.80 / 5.00 from 8 votes
#298
Ayane - Arrival of Tears
Collab Ultra 6.46*
Apr 17th, 2016
Guy, jonathanlfj, KSHR, Gamu, captin1, Cilvery, alacat, Skystar, Aka, DakeDekaane, Gero, GoldenWolf, Broccoly, Luna-, Asphyxia, Osu Mapman, Fycho and Natsu
collab, marathon, megacollab
Collab Ultra 6.46*
Apr 17th, 2016
Guy, jonathanlfj, KSHR, Gamu, captin1, Cilvery, alacat, Skystar, Aka, DakeDekaane, Gero, GoldenWolf, Broccoly, Luna-, Asphyxia, Osu Mapman, Fycho and Natsu
collab, marathon, megacollab
2.75 / 5.00 from 13 votes
#299
3.56 / 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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