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(Comparing results)
CHINASERBIA
4BLD average 1:20.08 (2013LINK01)
5BLD single 2:39.12 (2013LINK01)
5BLD average 2:49.17 (2013LINK01)
Multiblind 51 / 54 in 57:49 (2015CHEN49) 7 / 8 in 53:25 (2015MILE01)
4BLD single 1:09.98 (2013LINK01) 6:09.01 (2015MILE01)
7x7 average 1:54.58 (2016WUZI04) 3:01.76 (2016RADO01)
7x7 single 1:45.15 (2012ZHAN08) 2:47.49 (2016RADO01)
3BLD average 16.63 (2017WANY29) 1:02.01 (2015MILE01)
6x6 average 1:21.14 (2016WUZI04) 2:01.88 (2016RADO01)
6x6 single 1:17.93 (2012ZHAN08) 1:54.11 (2022SILJ01)
3BLD single 14.99 (2017WANY29) 43.07 (2015MILE01)
FMC average 21.33 (2017LOUY01) 43.67 (2015MILE01)
5x5 average 44.16 (2016WUZI04) 1:05.12 (2016RADO01)
5x5 single 40.69 (2016WUZI04) 59.36 (2016RADO01)
Megaminx average 26.96 (2016WUZI04) 42.78 (2021CUMI01)
Megaminx single 25.28 (2016WUZI04) 38.55 (2021CUMI01)
4x4 average 22.82 (2017XURU04) 34.22 (2016RADO01)
4x4 single 19.78 (2017CAIZ03) 28.4 (2018JANK01)
Clock average 3.81 (2017LOUY01) 9.3 (2018LJUB01,2022NEDE03)
Clock single 2.87 (2017LOUY01) 7.98 (2018LJUB01)
Square one average 7.15 (2016LIJI05) 11.48 (2018JANK01)
3x3 average 4.48 (2019WANY36) 7.78 (2017MARC22)
3x3 single 3.47 (2015DUYU01,2019WANY36) 5.91 (2018SEBE01)
One handed average 9.48 (2008SUNZ01) 11.81 (2017MARC22)
One handed single 6.9 (2017XURU04) 9.03 (2017MARC22)
Pyraminx average 1.43 (2019JIAN54) 3.16 (2019LUKI03)
Skewb average 2.05 (2023GUOK01) 3.64 (2022NEDE03)
2x2 average 0.93 (2019WANY36) 2.29 (2017MARC22)
Pyraminx single 1.05 (2019JIAN54) 2.18 (2019LUKI03)
Square one single 5.86 (2017XUAN01) 6.9 (2018JANK01)
Skewb single 1.11 (2013LIZO01) 2.1 (2022NEDE03)
2x2 single 0.47 (2018WANG35) 0.93 (2018LJUB01)
FMC single 17 (2012LIUY03) 33 (2018JANK01)


Based on data export from 22nd April 2024
Please report bugs or feature requests to bugs@nemesizer.com




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