Highest Rated Maps of 2018
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#1051
3.31 / 5.00 from 3 votes
#1053
3.07 / 5.00 from 4 votes
#1054
3.26 / 5.00 from 4 votes
#1056
3.61 / 5.00 from 4 votes
#1061
Shawn Wasabi + YDG - Burnt Rice (feat. YUNG GEMMY)
Spork Lover's Scorched 5.35*
Feb 15th, 2018
Spork Lover
Spork Lover's Scorched 5.35*
Feb 15th, 2018
Spork Lover
3.19 / 5.00 from 3 votes
#1062
4.00 / 5.00 from 4 votes
#1063
4.32 / 5.00 from 4 votes
#1064
2.72 / 5.00 from 5 votes
#1065
3.13 / 5.00 from 3 votes
#1066
Ice vs. Morimori Atsushi - RE:UNION -Duo Blade Against-
how2miss' Extra 6.30*
Nov 15th, 2018
how2miss
playfield constraint, download unavailable
how2miss' Extra 6.30*
Nov 15th, 2018
how2miss
playfield constraint, download unavailable
3.13 / 5.00 from 3 votes
#1068
3.41 / 5.00 from 4 votes
#1069
3.41 / 5.00 from 4 votes
#1071
3.06 / 5.00 from 4 votes
#1072
3.75 / 5.00 from 3 votes
#1074
2.67 / 5.00 from 3 votes
#1075
2.67 / 5.00 from 3 votes
#1076
Void_Chords feat.MARU - The Other Side of the Wall (TV Size)
Princess 4.86*
Feb 19th, 2018
DreaM117er
Princess 4.86*
Feb 19th, 2018
DreaM117er
2.67 / 5.00 from 3 votes
#1079
2.67 / 5.00 from 3 votes
#1080
Miki Sayaka (CV: Kitamura Eri), Sakura Kyoko (CV: Nonaka Ai) - and I'm home
Kyoko 4.17*
Jun 4th, 2018
Kyuukai
Kyoko 4.17*
Jun 4th, 2018
Kyuukai
2.67 / 5.00 from 3 votes
#1081
2.67 / 5.00 from 3 votes
#1084
3.06 / 5.00 from 3 votes
#1085
UNDEAD CORPORATION - Yoru Naku Usagi wa Yume o Miru
Lenvia's Classic Collab Extra 6.47*
Jun 16th, 2018
Len
Lenvia's Classic Collab Extra 6.47*
Jun 16th, 2018
Len
3.06 / 5.00 from 3 votes
#1087
4.77 / 5.00 from 4 votes
#1089
4.77 / 5.00 from 4 votes
#1090
4.77 / 5.00 from 4 votes
#1091
2.43 / 5.00 from 5 votes
#1096
Maaya Sakamoto - Shiawase ni Tsuite Watashi ga Shitteiru Itsutsu no Houhou
Delines' Insane 5.02*
May 7th, 2018
Yohanes
Delines' Insane 5.02*
May 7th, 2018
Yohanes
4.00 / 5.00 from 3 votes
#1099
2.86 / 5.00 from 3 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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