Nemesizer
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(Comparing results)
MALAYSIALITHUANIA
4BLD average 1:42.27 (2017FENG10)
5BLD average 9:46.32 (2015QUAN03)
Multiblind 36 / 40 in 56:52 (2017FENG10) 8 / 8 in 50:32 (2015RIBI01)
5BLD single 2:18.78 (2017FENG10) 24:25.00 (2018LIEN01)
4BLD single 1:01.01 (2017FENG10) 11:13.00 (2015RIBI01)
3BLD average 27.4 (2017FENG10) 1:11.77 (2015RIBI01)
7x7 average 1:54.92 (2016HUNG08) 2:35.17 (2017URBA01)
3BLD single 19.96 (2017FENG10) 57.34 (2015RIBI01)
7x7 single 1:48.70 (2016HUNG08) 2:19.21 (2017URBA01)
6x6 average 1:19.36 (2016HUNG08) 1:40.01 (2017URBA01)
Megaminx average 35.13 (2017FENG10) 50.44 (2017URBA01)
6x6 single 1:14.97 (2016HUNG08) 1:30.10 (2017URBA01)
FMC average 24 (2011FOOT01,2016ZHEN09) 38.67 (2015RIBI01)
Megaminx single 30.74 (2017FENG10) 43.53 (2017URBA01)
5x5 average 46.37 (2016HUNG08) 52.53 (2017URBA01)
5x5 single 41.19 (2016HUNG08) 46.08 (2017URBA01)
Clock average 3.83 (2015QUAN03) 5.75 (2022BERR06)
4x4 single 22.25 (2017YANG59) 24.14 (2017URBA01)
Square one average 8.18 (2019CHIN08) 9.6 (2017PECI01)
Clock single 3.13 (2015QUAN03) 4.46 (2022BERR06)
4x4 average 26.1 (2017YANG59) 27.35 (2017URBA01)
Skewb single 1.22 (2016HUNG08) 2.29 (2015RIBI01)
2x2 average 1.37 (2015QUAN03) 2.31 (2017URBA01)
Skewb average 2.8 (2017FOOY01) 3.55 (2017PECI01)
One handed single 7.87 (2017YANG59) 8.48 (2017URBA01)
Pyraminx average 2.42 (2019CHIN08) 3 (2017MOTI02)
Pyraminx single 1.21 (2018LIAN10) 1.75 (2017MOTI02)
2x2 single 0.71 (2017YANG59) 1.24 (2015RIBI01)
3x3 average 6.3 (2017YANG59) 6.54 (2017URBA01)
FMC single 19 (2016ZHEN09) 30 (2019PILI01,2017URBA01)
3x3 single 4.86 (2017YANG59) 4.73 (2017URBA01)
Square one single 5.88 (2016HUNG08) 5.72 (2017PECI01)
One handed average 9.98 (2017YANG59) 9.2 (2017URBA01)


Based on data export from 15th April 2024
Please report bugs or feature requests to bugs@nemesizer.com




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