Highest Rated Maps of 2019
«
1
2
3
4
5
6
7
8
9
»
#851
Yunomi & nicamoq - Indoor Kei Nara Trackmaker (curryrice Remix)
neilperry's insane 4.53*
Apr 14th, 2019
NeilPerry
neilperry's insane 4.53*
Apr 14th, 2019
NeilPerry
3.85 / 5.00 from 5 votes
#854
2.98 / 5.00 from 6 votes
#855
3.59 / 5.00 from 4 votes
#859
3.33 / 5.00 from 6 votes
#860
ShinRa-Bansho - Marisa wa Taihen na Mono o Nusunde Ikimashita ShinRa-Bansho Ver
Classic Extra 5.19*
Oct 14th, 2019
Len
Classic Extra 5.19*
Oct 14th, 2019
Len
2.61 / 5.00 from 8 votes
#861
Ayase Rie - Hijitsuzaikei Joshitachi wa Dou Surya Ii Desu ka?
Testo's Expert 6.36*
Feb 3rd, 2019
Testo
Testo's Expert 6.36*
Feb 3rd, 2019
Testo
2.90 / 5.00 from 5 votes
#862
2.70 / 5.00 from 6 votes
#864
3.16 / 5.00 from 6 votes
#867
3.51 / 5.00 from 4 votes
#870
3.37 / 5.00 from 4 votes
#874
3.13 / 5.00 from 4 votes
#875
3.13 / 5.00 from 4 votes
#877
3.46 / 5.00 from 5 votes
#879
2.60 / 5.00 from 7 votes
#880
Team Grimoire - Nightmare System
Collab 6.78*
May 5th, 2019
Livia, Angel Arrow, milr_, DendyHere, tatemae, den0saur, Caspar, Ksardas, EijiKuinbii, Cappu, smozit, Frakturehawkens, colicen, Reywateil and IntegerTempest
tech, marathon, megacollab
Collab 6.78*
May 5th, 2019
Livia, Angel Arrow, milr_, DendyHere, tatemae, den0saur, Caspar, Ksardas, EijiKuinbii, Cappu, smozit, Frakturehawkens, colicen, Reywateil and IntegerTempest
tech, marathon, megacollab
4.11 / 5.00 from 5 votes
#882
2.66 / 5.00 from 6 votes
#884
3.57 / 5.00 from 5 votes
#885
4.35 / 5.00 from 4 votes
#886
3.96 / 5.00 from 4 votes
#888
3.36 / 5.00 from 5 votes
#890
3.36 / 5.00 from 4 votes
#891
3.36 / 5.00 from 4 votes
#892
3.36 / 5.00 from 4 votes
#893
3.36 / 5.00 from 4 votes
#894
3.36 / 5.00 from 4 votes
#896
2.96 / 5.00 from 5 votes
#897
2.96 / 5.00 from 5 votes
#899
Nekomata Master feat. Aki Misawa - chrono diver -fragment-
RiP iidx 5.55*
Jun 15th, 2019
fanzhen0019
RiP iidx 5.55*
Jun 15th, 2019
fanzhen0019
3.71 / 5.00 from 4 votes
#900
3.64 / 5.00 from 4 votes
Filters
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.
«
1
2
3
4
5
6
7
8
9
»