Highest Rated Maps of 2023
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#2352
2.80 / 5.00 from 3 votes
#2353
3.53 / 5.00 from 4 votes
#2356
2.91 / 5.00 from 6 votes
#2357
2.43 / 5.00 from 5 votes
#2358
2.32 / 5.00 from 5 votes
#2359
2.57 / 5.00 from 4 votes
#2360
2.57 / 5.00 from 4 votes
#2361
solfa feat. Shimotsuki Haruka + Ceui - STUDY STEADY
gazimal's Ohimesama no Aiyoku 5.19*
Mar 8th, 2023
gazimal
gazimal's Ohimesama no Aiyoku 5.19*
Mar 8th, 2023
gazimal
2.72 / 5.00 from 4 votes
#2362
2.50 / 5.00 from 3 votes
#2363
2.72 / 5.00 from 4 votes
#2365
3.03 / 5.00 from 4 votes
#2367
2.55 / 5.00 from 4 votes
#2368
2.55 / 5.00 from 4 votes
#2370
momiji, Datenshi Kokoeru, Aruku - Saikyou Muteki! Chou Ero App! -remix-
nik's Normal 2.13*
Jul 15th, 2023
nik
nik's Normal 2.13*
Jul 15th, 2023
nik
3.40 / 5.00 from 4 votes
#2371
2.99 / 5.00 from 5 votes
#2372
2.46 / 5.00 from 3 votes
#2375
Amateras Records - Special Smile [Eurobeat Remix]
Yoru no Aku gensou 6.42*
Mar 5th, 2023
Hakurei Yoru
Yoru no Aku gensou 6.42*
Mar 5th, 2023
Hakurei Yoru
3.34 / 5.00 from 4 votes
#2377
2.52 / 5.00 from 8 votes
#2378
2.64 / 5.00 from 4 votes
#2379
2.63 / 5.00 from 4 votes
#2380
2.93 / 5.00 from 4 votes
#2383
2.50 / 5.00 from 4 votes
#2384
2.50 / 5.00 from 4 votes
#2385
HoneyWorks - Sis x Love feat. Narumi Sena x Narumi Mona (CV: Amamiya Sora, Natsukawa Shiina)
Lovely Normal 2.26*
Jan 5th, 2023
sanairrt
Lovely Normal 2.26*
Jan 5th, 2023
sanairrt
2.50 / 5.00 from 5 votes
#2387
2.50 / 5.00 from 4 votes
#2388
2.50 / 5.00 from 4 votes
#2391
2.50 / 5.00 from 4 votes
#2394
2.50 / 5.00 from 4 votes
#2396
2.50 / 5.00 from 4 votes
#2398
2.50 / 5.00 from 4 votes
#2399
PIKASONIC & Tatsunoshin - Lockdown (feat. NEONA)
Nanako x Blacky's Hard 3.35*
Jan 3rd, 2023
-Nanako-
Nanako x Blacky's Hard 3.35*
Jan 3rd, 2023
-Nanako-
2.50 / 5.00 from 4 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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