Highest Rated Maps of All Time
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#9051
SACOYANS - Great revelation
Science fiction 5.29*
Aug 11th, 2024
M i X, hamano masuji, 0ppInOsu, mintIceCream_, fllecc, azphyx, ourb and Regussy
marathon, megacollab
Science fiction 5.29*
Aug 11th, 2024
M i X, hamano masuji, 0ppInOsu, mintIceCream_, fllecc, azphyx, ourb and Regussy
marathon, megacollab
3.78 / 5.00 from 5 votes
#9052
3.70 / 5.00 from 6 votes
#9053
2.98 / 5.00 from 7 votes
#9054
3.99 / 5.00 from 6 votes
#9055
3.30 / 5.00 from 5 votes
#9056
2.98 / 5.00 from 7 votes
#9057
2.98 / 5.00 from 7 votes
#9058
3.14 / 5.00 from 5 votes
#9060
3.52 / 5.00 from 6 votes
#9061
3.39 / 5.00 from 5 votes
#9064
2.87 / 5.00 from 7 votes
#9065
4.17 / 5.00 from 5 votes
#9066
2.77 / 5.00 from 6 votes
#9067
Diao ye zong feat. Meramipop - The Anonymous
Neraidaphobia 5.85*
Dec 20th, 2017
Kin, Asaiga, Karen and Winnie
Neraidaphobia 5.85*
Dec 20th, 2017
Kin, Asaiga, Karen and Winnie
4.20 / 5.00 from 6 votes
#9068
3.52 / 5.00 from 6 votes
#9069
2.84 / 5.00 from 7 votes
#9072
3.66 / 5.00 from 5 votes
#9073
3.98 / 5.00 from 6 votes
#9076
3.83 / 5.00 from 7 votes
#9077
4.47 / 5.00 from 4 votes
#9078
3.75 / 5.00 from 6 votes
#9080
Camellia - Shun no Seafood o Ikashita Curry Fuumi Paella
Ponosty's Paella 7.11*
Jul 15th, 2016
Musty
Ponosty's Paella 7.11*
Jul 15th, 2016
Musty
2.95 / 5.00 from 7 votes
#9081
Ushirokara Haiyoritai G - Koi wa Chaos no Shimobenari (TV Size)
Insane 4.49*
Apr 19th, 2013
wcx19911123
Insane 4.49*
Apr 19th, 2013
wcx19911123
3.51 / 5.00 from 6 votes
#9082
3.40 / 5.00 from 5 votes
#9084
3.13 / 5.00 from 5 votes
#9086
3.80 / 5.00 from 6 votes
#9087
2.81 / 5.00 from 8 votes
#9088
3.41 / 5.00 from 6 votes
#9089
4.07 / 5.00 from 6 votes
#9090
2.77 / 5.00 from 10 votes
#9093
2.86 / 5.00 from 7 votes
#9095
3.38 / 5.00 from 7 votes
#9096
3.21 / 5.00 from 10 votes
#9099
3.21 / 5.00 from 5 votes
#9100
2.83 / 5.00 from 7 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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