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Highest Rated Maps of 2013
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#251
4.03 / 5.00 from 6 votes
#252
3.09 / 5.00 from 8 votes
#253
4.02 / 5.00 from 7 votes
#256
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
3.09 / 5.00 from 7 votes
#258
3.16 / 5.00 from 7 votes
#265
3.35 / 5.00 from 6 votes
#269
3.52 / 5.00 from 6 votes
#271
3.60 / 5.00 from 6 votes
#272
3.61 / 5.00 from 6 votes
#273
3.35 / 5.00 from 7 votes
#275
4.18 / 5.00 from 6 votes
#276
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
3.89 / 5.00 from 6 votes
#277
Hatsune Miku - Kouon Chu Oniki Test
0108 7.43*
Oct 28th, 2013
val0108
geometric, symmetrical, progression, jump aim, wide aim, linear aim, 2B
0108 7.43*
Oct 28th, 2013
val0108
geometric, symmetrical, progression, jump aim, wide aim, linear aim, 2B
2.42 / 5.00 from 12 votes
#278
2.50 / 5.00 from 8 votes
#283
3.54 / 5.00 from 7 votes
#284
3.64 / 5.00 from 6 votes
#285
3.50 / 5.00 from 5 votes
#286
3.31 / 5.00 from 7 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
#289
3.41 / 5.00 from 6 votes
#292
4.46 / 5.00 from 5 votes
#293
4.87 / 5.00 from 5 votes
#294
3.47 / 5.00 from 7 votes
#295
Various Artists - Square Jump Practice Maps
Masterpiece BPM180 Holy holy shi... 7.06*
Aug 23rd, 2013
Jemmmmy
Masterpiece BPM180 Holy holy shi... 7.06*
Aug 23rd, 2013
Jemmmmy
2.57 / 5.00 from 7 votes
#298
3.74 / 5.00 from 5 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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