Highest Rated Maps of 2025
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#402
2.40 / 5.00 from 8 votes
#403
3.63 / 5.00 from 5 votes
#404
Hirasawa Ran - Konata-san no Gourmet Race
1-2-KAGAMIN! 5.84*
Aug 26th, 2025
doops
symmetrical, old-style revival, linear aim, difficulty spike, custom skin, perfect stacks
1-2-KAGAMIN! 5.84*
Aug 26th, 2025
doops
symmetrical, old-style revival, linear aim, difficulty spike, custom skin, perfect stacks
2.56 / 5.00 from 7 votes
#405
2.92 / 5.00 from 5 votes
#406
4.29 / 5.00 from 5 votes
#408
Styles of Beyond - Nine Thou (Grant Mohrman Superstars Remix)
384's Extr8 5.90*
May 27th, 2025
pw384
384's Extr8 5.90*
May 27th, 2025
pw384
3.87 / 5.00 from 4 votes
#410
3.75 / 5.00 from 4 votes
#412
3.75 / 5.00 from 4 votes
#413
3.75 / 5.00 from 4 votes
#414
3.75 / 5.00 from 4 votes
#415
3.75 / 5.00 from 4 votes
#417
3.54 / 5.00 from 5 votes
#418
3.51 / 5.00 from 5 votes
#419
4.25 / 5.00 from 5 votes
#420
2.41 / 5.00 from 10 votes
#425
4.46 / 5.00 from 4 votes
#426
TOGENASHI TOGEARI - Piercing the dawn of time
Expert feat. Kalibe 5.84*
Apr 25th, 2025
Kalibe and Heroine
Expert feat. Kalibe 5.84*
Apr 25th, 2025
Kalibe and Heroine
3.41 / 5.00 from 5 votes
#427
2.60 / 5.00 from 5 votes
#428
3.15 / 5.00 from 5 votes
#430
3.50 / 5.00 from 4 votes
#431
3.50 / 5.00 from 4 votes
#436
2.63 / 5.00 from 6 votes
#438
3.29 / 5.00 from 5 votes
#439
3.51 / 5.00 from 4 votes
#444
Susumu Hirasawa - TOWN-0 PHASE-5
Dystopia 6.47*
Oct 19th, 2025
sprei
grid snap, linear aim, precision, high sv
Dystopia 6.47*
Oct 19th, 2025
sprei
grid snap, linear aim, precision, high sv
3.49 / 5.00 from 4 votes
#446
3.38 / 5.00 from 4 votes
#447
3.38 / 5.00 from 4 votes
#448
3.38 / 5.00 from 4 votes
#450
Yuzutyie - N.N. Teki Vocaloid wa Byouki Nano ka? Saishuu Kichiku Vocaloidre-N
Ultra 8.28*
Dec 13th, 2025
AJT
Ultra 8.28*
Dec 13th, 2025
AJT
3.38 / 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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