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Highest Rated Maps of 2023
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#1551
2.65 / 5.00 from 5 votes
#1553
3.24 / 5.00 from 6 votes
#1554
2.92 / 5.00 from 5 votes
#1557
3.29 / 5.00 from 6 votes
#1559
2.24 / 5.00 from 7 votes
#1560
2.85 / 5.00 from 5 votes
#1563
3.18 / 5.00 from 5 votes
#1566
3.09 / 5.00 from 5 votes
#1567
2.63 / 5.00 from 6 votes
#1568
Giga & KIRA - GETCHA! feat. Hatsune Miku & GUMI
Kuroise & Local Hero's INSANE! 4.69*
Feb 7th, 2023
Kuroise and Local Hero
collab
Kuroise & Local Hero's INSANE! 4.69*
Feb 7th, 2023
Kuroise and Local Hero
collab
2.31 / 5.00 from 6 votes
#1571
3.23 / 5.00 from 6 votes
#1572
2.26 / 5.00 from 6 votes
#1573
3.29 / 5.00 from 5 votes
#1574
3.56 / 5.00 from 5 votes
#1578
2.28 / 5.00 from 7 votes
#1579
4.27 / 5.00 from 4 votes
#1581
3.24 / 5.00 from 5 votes
#1582
Maron Feat. Ayaponzu* (Shinra Bansho) - Hakanaki Koi no Gensoutan
downpour and atlas' Transient Lo... 7.91*
Apr 22nd, 2023
downpour
downpour and atlas' Transient Lo... 7.91*
Apr 22nd, 2023
downpour
2.57 / 5.00 from 5 votes
#1583
2.78 / 5.00 from 5 votes
#1584
2.52 / 5.00 from 5 votes
#1585
3.48 / 5.00 from 5 votes
#1589
3.21 / 5.00 from 5 votes
#1590
Tsukuyomi - Hana ni Ame o, Kimi ni Uta o
The Words I Spun, the Melody I P... 6.58*
Sep 8th, 2023
Nevertary
The Words I Spun, the Melody I P... 6.58*
Sep 8th, 2023
Nevertary
2.29 / 5.00 from 6 votes
#1591
Kita Shuuhei - Mirai mo Kimi no Te no Naka de (TV Size)
Affection 5.23*
Apr 12th, 2023
Isagi Yoichi
jump aim
Affection 5.23*
Apr 12th, 2023
Isagi Yoichi
jump aim
2.83 / 5.00 from 6 votes
#1592
2.68 / 5.00 from 7 votes
#1594
2.27 / 5.00 from 7 votes
#1595
3.45 / 5.00 from 5 votes
#1597
2.40 / 5.00 from 5 votes
#1598
2.80 / 5.00 from 5 votes
#1599
2.80 / 5.00 from 5 votes
#1600
Ryokuoushoku Shakai - Hana ni Natte (TV Size)
Medical Emergency 6.04*
Dec 29th, 2023
Booliix
simple, sharp aim, bursts
Medical Emergency 6.04*
Dec 29th, 2023
Booliix
simple, sharp aim, bursts
2.49 / 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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