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Highest Rated Maps of 2014
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#301
livetune adding Takuro Sugawara(from 9mm Parabellum Bullet) - SEN NO TSUBASA
Insane 5.20*
Nov 2nd, 2014
No_Gu
Insane 5.20*
Nov 2nd, 2014
No_Gu
3.32 / 5.00 from 6 votes
#302
4.20 / 5.00 from 5 votes
#303
3.03 / 5.00 from 7 votes
#305
4.48 / 5.00 from 5 votes
#307
livetune adding Takuro Sugawara(from 9mm Parabellum Bullet) - SEN NO TSUBASA
Pokie's Insane 4.88*
Nov 2nd, 2014
Pokie
Pokie's Insane 4.88*
Nov 2nd, 2014
Pokie
3.65 / 5.00 from 6 votes
#308
3.23 / 5.00 from 7 votes
#309
3.29 / 5.00 from 6 votes
#310
3.12 / 5.00 from 7 votes
#311
3.41 / 5.00 from 6 votes
#313
Sonitus Vir - Evergreen + Anima Mundi
BD's Insane 4.68*
Jul 4th, 2014
Froslass
finger control, bursts, simple
BD's Insane 4.68*
Jul 4th, 2014
Froslass
finger control, bursts, simple
3.90 / 5.00 from 5 votes
#317
3.04 / 5.00 from 6 votes
#318
3.24 / 5.00 from 6 votes
#319
4.39 / 5.00 from 5 votes
#321
Suzuki Konomi 'n Kiba of Akiba - Watashi ga Motenai no wa Dou Kangaete mo Omaera ga Warui!
Rejection 6.17*
Sep 7th, 2014
Jenny
jump aim, geometric
Rejection 6.17*
Sep 7th, 2014
Jenny
jump aim, geometric
2.97 / 5.00 from 7 votes
#322
2.83 / 5.00 from 6 votes
#325
Utagumi Setsugetsuka - Maware! Setsugetsuka chiptune Remix
MawareXtrA 5.51*
Oct 12th, 2014
jonathanlfj
MawareXtrA 5.51*
Oct 12th, 2014
jonathanlfj
2.91 / 5.00 from 7 votes
#327
2.83 / 5.00 from 8 votes
#334
3.71 / 5.00 from 5 votes
#335
2.98 / 5.00 from 6 votes
#337
2.97 / 5.00 from 6 votes
#339
3.62 / 5.00 from 5 votes
#341
3.29 / 5.00 from 5 votes
#344
3.20 / 5.00 from 5 votes
#346
3.51 / 5.00 from 5 votes
#347
T.M.Revolution x Mizuki Nana - Preserved Roses -Anime Version-
Skystar's Extra 5.54*
Jun 16th, 2014
Skystar
Skystar's Extra 5.54*
Jun 16th, 2014
Skystar
2.55 / 5.00 from 15 votes
#349
3.46 / 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.
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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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