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Highest Rated Maps of 2013
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#252
Hikasa Yoko - Listen!!
Collab 5.34*
Jun 22nd, 2013
Lilac, Lybydose, Derekku, Shohei Ohtani, Lunah, Cristian and Lizzehb
grid snap, symmetrical, collab
Collab 5.34*
Jun 22nd, 2013
Lilac, Lybydose, Derekku, Shohei Ohtani, Lunah, Cristian and Lizzehb
grid snap, symmetrical, collab
3.01 / 5.00 from 7 votes
#253
3.61 / 5.00 from 6 votes
#255
4.03 / 5.00 from 6 votes
#260
Epica - Fools of Damnation
Unity 5.01*
Jun 13th, 2013
ZekeyHache, Melan Blue, -kevincela-, HellDawn, MoodyRPG, Wisakedjak, Pereira006, Kyshiro, Gabe and Sieg
marathon, megacollab
Unity 5.01*
Jun 13th, 2013
ZekeyHache, Melan Blue, -kevincela-, HellDawn, MoodyRPG, Wisakedjak, Pereira006, Kyshiro, Gabe and Sieg
marathon, megacollab
3.95 / 5.00 from 6 votes
#261
3.83 / 5.00 from 8 votes
#262
3.89 / 5.00 from 6 votes
#265
3.61 / 5.00 from 6 votes
#267
3.71 / 5.00 from 6 votes
#268
3.69 / 5.00 from 6 votes
#269
3.51 / 5.00 from 6 votes
#270
3.38 / 5.00 from 7 votes
#271
3.35 / 5.00 from 7 votes
#272
4.17 / 5.00 from 5 votes
#273
3.44 / 5.00 from 6 votes
#275
3.47 / 5.00 from 6 votes
#278
4.88 / 5.00 from 5 votes
#279
Rinjinbu - Be My Friend (TV Size)
Fang 4.37*
Feb 23rd, 2013
Dark Fang
simple, geometric, symmetrical, bursts, alt
Fang 4.37*
Feb 23rd, 2013
Dark Fang
simple, geometric, symmetrical, bursts, alt
2.96 / 5.00 from 7 votes
#280
2.42 / 5.00 from 8 votes
#282
2.58 / 5.00 from 6 votes
#284
3.54 / 5.00 from 7 votes
#286
supercell - Hero
C.Hero 5.47*
Mar 23rd, 2013
Colin Hou
freeform, progression, improvisation, flow aim
C.Hero 5.47*
Mar 23rd, 2013
Colin Hou
freeform, progression, improvisation, flow aim
3.63 / 5.00 from 6 votes
#287
Various Artists - Square Jump Practice Maps
200BPM t+pazolite_cheatreal GO E... 7.63*
Aug 23rd, 2013
Jemmmmy
200BPM t+pazolite_cheatreal GO E... 7.63*
Aug 23rd, 2013
Jemmmmy
2.53 / 5.00 from 8 votes
#288
3.54 / 5.00 from 7 votes
#289
3.97 / 5.00 from 6 votes
#294
4.10 / 5.00 from 6 votes
#295
3.41 / 5.00 from 6 votes
#298
3.22 / 5.00 from 6 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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