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Highest Rated Maps of 2017
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#401
3.36 / 5.00 from 6 votes
#402
3.03 / 5.00 from 6 votes
#403
3.78 / 5.00 from 7 votes
#404
KikuoHana - Nobore! Susume! Takai Tou
The Tragic Story of the Great Tower 5.56*
Nov 26th, 2017
Kuron-kun
The Tragic Story of the Great Tower 5.56*
Nov 26th, 2017
Kuron-kun
2.92 / 5.00 from 6 votes
#406
3.71 / 5.00 from 5 votes
#410
96neko - Aimai Elegy
Absence 6.20*
Jul 31st, 2017
Lasse
progression, wide aim, variable timing, slidershapes
Absence 6.20*
Jul 31st, 2017
Lasse
progression, wide aim, variable timing, slidershapes
3.08 / 5.00 from 6 votes
#411
2.48 / 5.00 from 9 votes
#413
3.07 / 5.00 from 7 votes
#414
3.53 / 5.00 from 5 votes
#417
3.39 / 5.00 from 5 votes
#418
2.50 / 5.00 from 7 votes
#419
3.60 / 5.00 from 9 votes
#421
3.35 / 5.00 from 5 votes
#422
3.58 / 5.00 from 6 votes
#424
2.43 / 5.00 from 7 votes
#425
3.51 / 5.00 from 7 votes
#426
3.45 / 5.00 from 5 votes
#427
2.42 / 5.00 from 7 votes
#428
3.73 / 5.00 from 5 votes
#429
2.80 / 5.00 from 6 votes
#430
3.36 / 5.00 from 5 votes
#431
2.33 / 5.00 from 8 votes
#433
3.11 / 5.00 from 5 votes
#434
3.91 / 5.00 from 6 votes
#435
2.54 / 5.00 from 7 votes
#436
2.92 / 5.00 from 6 votes
#437
3.09 / 5.00 from 7 votes
#439
Shokk - You Reposted in the Wrong Neighborhood
Wrong Neighborhood Boi! 4.07*
Feb 16th, 2017
ZekeyHache
simple, precision, alt
Wrong Neighborhood Boi! 4.07*
Feb 16th, 2017
ZekeyHache
simple, precision, alt
2.61 / 5.00 from 6 votes
#443
3.00 / 5.00 from 5 votes
#444
2.28 / 5.00 from 10 votes
#445
2.67 / 5.00 from 6 votes
#446
Hirokazu Ando, Tadashi Ikegami, Shogo Sakai, Takuto Kitsuta - Target o Kowase!
Click the Circles! 5.28*
Mar 7th, 2017
Hobbes2
Click the Circles! 5.28*
Mar 7th, 2017
Hobbes2
2.97 / 5.00 from 6 votes
#447
3.57 / 5.00 from 6 votes
#448
2.95 / 5.00 from 6 votes
#450
Izumi Akazawa (CV. Madoka Yonezawa) - Responsibility Response
FCL's Extreme 6.00*
Jan 13th, 2017
FCL
FCL's Extreme 6.00*
Jan 13th, 2017
FCL
2.68 / 5.00 from 6 votes
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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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