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Highest Rated Maps of 2016
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#603
3.33 / 5.00 from 5 votes
#604
3.86 / 5.00 from 4 votes
#605
2.14 / 5.00 from 7 votes
#608
3.54 / 5.00 from 5 votes
#610
RADWIMPS - Zen Zen Zense (movie ver.)
Extra: Taki 5.32*
Nov 28th, 2016
Monstrata
simple, hexgrid, jump aim
Extra: Taki 5.32*
Nov 28th, 2016
Monstrata
simple, hexgrid, jump aim
2.17 / 5.00 from 8 votes
#611
4.01 / 5.00 from 5 votes
#612
Katarzyna Bogusz, Ola Maciejewska, Przemyslaw Kleczkowski - Blogoslawieni Milosierni (Krysiek Remix)
Holy Insane 5.00*
Aug 2nd, 2016
Skubi
Holy Insane 5.00*
Aug 2nd, 2016
Skubi
3.41 / 5.00 from 4 votes
#615
4.04 / 5.00 from 5 votes
#617
2.52 / 5.00 from 5 votes
#620
3.14 / 5.00 from 5 votes
#624
2.75 / 5.00 from 4 votes
#627
2.65 / 5.00 from 5 votes
#628
Katarzyna Bogusz, Ola Maciejewska, Przemyslaw Kleczkowski - Blogoslawieni Milosierni (Krysiek Remix)
NeBu's Consecration 6.43*
Aug 2nd, 2016
Nebu
NeBu's Consecration 6.43*
Aug 2nd, 2016
Nebu
3.22 / 5.00 from 4 votes
#629
2.58 / 5.00 from 6 votes
#630
TrySail - High Free Spirits -TV.Ver-
StarR's Extra 5.85*
May 28th, 2016
Nakano Itsuki
simple, jump aim
StarR's Extra 5.85*
May 28th, 2016
Nakano Itsuki
simple, jump aim
2.15 / 5.00 from 8 votes
#631
3.96 / 5.00 from 5 votes
#633
2.73 / 5.00 from 5 votes
#635
4.00 / 5.00 from 4 votes
#639
2.36 / 5.00 from 6 votes
#640
3.60 / 5.00 from 5 votes
#641
3.15 / 5.00 from 5 votes
#642
Black Coast - TRNDSTTR feat. M. Maggie (Lucian Remix)
Collab Insane 4.07*
Feb 20th, 2016
Irreversible and Spayyce
Collab Insane 4.07*
Feb 20th, 2016
Irreversible and Spayyce
2.52 / 5.00 from 5 votes
#643
3.90 / 5.00 from 5 votes
#644
3.02 / 5.00 from 5 votes
#650
4.24 / 5.00 from 4 votes
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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.
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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