Highest Rated Maps of All Time
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#6052
Optimus Rhyme - Obey the moderator
Sweatin' 3.12*
Mar 22nd, 2008
wiicademan
grid snap, linear aim, bursts
Sweatin' 3.12*
Mar 22nd, 2008
wiicademan
grid snap, linear aim, bursts
3.27 / 5.00 from 8 votes
#6054
3.73 / 5.00 from 8 votes
#6055
3.88 / 5.00 from 6 votes
#6056
2.79 / 5.00 from 11 votes
#6057
2.75 / 5.00 from 18 votes
#6058
3.22 / 5.00 from 7 votes
#6059
3.06 / 5.00 from 9 votes
#6061
2.97 / 5.00 from 9 votes
#6062
3.49 / 5.00 from 8 votes
#6063
3.15 / 5.00 from 8 votes
#6064
3.37 / 5.00 from 10 votes
#6066
3.00 / 5.00 from 11 votes
#6070
3.34 / 5.00 from 8 votes
#6071
3.78 / 5.00 from 6 votes
#6072
3.78 / 5.00 from 6 votes
#6073
3.26 / 5.00 from 9 votes
#6074
3.06 / 5.00 from 10 votes
#6077
4.01 / 5.00 from 7 votes
#6082
Rinjinbu - Be My Friend (TV Size)
Fang 4.37*
Feb 23rd, 2013
Dark Fang
simple, geometric, symmetrical, bursts, alt
Fang 4.37*
Feb 23rd, 2013
Dark Fang
simple, geometric, symmetrical, bursts, alt
2.95 / 5.00 from 10 votes
#6083
3.86 / 5.00 from 7 votes
#6084
3.76 / 5.00 from 8 votes
#6085
3.62 / 5.00 from 9 votes
#6086
3.00 / 5.00 from 9 votes
#6087
Armin van Buuren vs. Vini Vici feat. Hilight Tribe - Great Spirit (Extended Mix)
Tribal Echoes 6.45*
Oct 7th, 2018
Icekalt
marathon
Tribal Echoes 6.45*
Oct 7th, 2018
Icekalt
marathon
3.33 / 5.00 from 8 votes
#6088
3.61 / 5.00 from 8 votes
#6089
Watashi (CV: Yuuki Aoi) - Ganbare! Kumoko-san no Thema
<Motion perception LV10> 9.07*
Sep 13th, 2021
Ancelysia
<Motion perception LV10> 9.07*
Sep 13th, 2021
Ancelysia
2.80 / 5.00 from 11 votes
#6090
4.12 / 5.00 from 6 votes
#6091
3.33 / 5.00 from 9 votes
#6093
4.71 / 5.00 from 6 votes
#6094
ShinRa-Bansho - Ningen ga Daisuki na Kowareta Youkai no Uta ShinRa-Bansho Ver
Broken Kappa 5.32*
May 17th, 2021
CebollaVladimir
Broken Kappa 5.32*
May 17th, 2021
CebollaVladimir
3.40 / 5.00 from 7 votes
#6096
3.58 / 5.00 from 7 votes
#6097
3.58 / 5.00 from 6 votes
#6098
3.58 / 5.00 from 6 votes
#6099
3.58 / 5.00 from 6 votes
#6100
3.07 / 5.00 from 9 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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