Highest Rated Maps of 2015
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#152
3.71 / 5.00 from 13 votes
#153
2.99 / 5.00 from 21 votes
#154
Renard - ENDLESS QUEER
Nogard's Extra 6.38*
Aug 22nd, 2015
Mismagius
simple, geometric, symmetrical, jump aim
Nogard's Extra 6.38*
Aug 22nd, 2015
Mismagius
simple, geometric, symmetrical, jump aim
3.15 / 5.00 from 17 votes
#155
3.95 / 5.00 from 15 votes
#156
Iris Freyja(CV:Hidaka Rina), Mononobe Mitsuki(CV:Numakura Manami) - Ray of bullet
Skystar's Extra 5.48*
Mar 17th, 2015
Skystar
jump aim
Skystar's Extra 5.48*
Mar 17th, 2015
Skystar
jump aim
4.16 / 5.00 from 13 votes
#157
4.22 / 5.00 from 13 votes
#158
3.99 / 5.00 from 15 votes
#159
3.73 / 5.00 from 14 votes
#160
3.78 / 5.00 from 15 votes
#161
3.42 / 5.00 from 16 votes
#164
3.55 / 5.00 from 16 votes
#166
3.71 / 5.00 from 14 votes
#169
3.72 / 5.00 from 15 votes
#172
3.73 / 5.00 from 14 votes
#174
Nanjo Yoshino x Kayano Ai (as Shirabe Tsukuyomi x Kirika Akatsuki) - Edge Works of Goddess ZABABA
Death Melody 6.24*
Mar 21st, 2015
blissfulyoshi
chaotic, symmetrical, flow aim, spaced streams, alt, slidershapes
Death Melody 6.24*
Mar 21st, 2015
blissfulyoshi
chaotic, symmetrical, flow aim, spaced streams, alt, slidershapes
2.95 / 5.00 from 20 votes
#176
3.97 / 5.00 from 15 votes
#177
4.32 / 5.00 from 11 votes
#178
3.74 / 5.00 from 12 votes
#179
3.11 / 5.00 from 16 votes
#180
3.77 / 5.00 from 14 votes
#183
3.64 / 5.00 from 14 votes
#184
3.27 / 5.00 from 14 votes
#186
3.68 / 5.00 from 14 votes
#188
3.83 / 5.00 from 14 votes
#189
4.01 / 5.00 from 14 votes
#194
Yuyoyuppe - AiAe
Eternal 6.05*
Mar 30th, 2015
Ciyus Miapah
cutstreams, streams, tech, bursts, stamina
Eternal 6.05*
Mar 30th, 2015
Ciyus Miapah
cutstreams, streams, tech, bursts, stamina
2.87 / 5.00 from 31 votes
#196
3.86 / 5.00 from 12 votes
#198
3.28 / 5.00 from 14 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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