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array(2) { ["2012ZHUK02"]=> array(34) { ["Ave_222"]=> string(3) "709" ["Ave_333"]=> string(4) "1390" ["Ave_333bf"]=> NULL ["Ave_333fm"]=> string(4) "4500" ["Ave_333oh"]=> string(4) "2060" ["Ave_444"]=> string(4) "5332" ["Ave_444bf"]=> NULL ["Ave_555"]=> string(5) "10372" ["Ave_555bf"]=> NULL ["Ave_666"]=> NULL ["Ave_777"]=> NULL ["Ave_clock"]=> string(4) "1605" ["Ave_minx"]=> NULL ["Ave_pyram"]=> string(4) "1194" ["Ave_skewb"]=> string(4) "1212" ["Ave_sq1"]=> string(4) "1406" ["type"]=> string(6) "result" ["Sin_222"]=> string(3) "488" ["Sin_333"]=> string(4) "1233" ["Sin_333bf"]=> string(5) "29871" ["Sin_333fm"]=> string(2) "43" ["Sin_333mbf"]=> NULL ["Sin_333oh"]=> string(4) "1859" ["Sin_444"]=> string(4) "4129" ["Sin_444bf"]=> NULL ["Sin_555"]=> string(4) "8977" ["Sin_555bf"]=> NULL ["Sin_666"]=> string(5) "21261" ["Sin_777"]=> string(5) "32446" ["Sin_clock"]=> string(4) "1461" ["Sin_minx"]=> string(5) "16732" ["Sin_pyram"]=> string(3) "954" ["Sin_skewb"]=> string(3) "807" ["Sin_sq1"]=> string(4) "1012" } ["2014WENW01"]=> array(34) { ["Ave_222"]=> string(3) "287" ["Ave_333"]=> string(3) "857" ["Ave_333bf"]=> string(4) "8435" ["Ave_333fm"]=> string(4) "1933" ["Ave_333oh"]=> string(4) "1346" ["Ave_444"]=> string(4) "2770" ["Ave_444bf"]=> string(5) "45794" ["Ave_555"]=> string(4) "5245" ["Ave_555bf"]=> string(6) "100000" ["Ave_666"]=> string(4) "9630" ["Ave_777"]=> string(5) "15039" ["Ave_clock"]=> string(3) "695" ["Ave_minx"]=> string(4) "5211" ["Ave_pyram"]=> string(3) "327" ["Ave_skewb"]=> string(3) "408" ["Ave_sq1"]=> string(4) "1147" ["type"]=> string(6) "result" ["Sin_222"]=> string(3) "134" ["Sin_333"]=> string(3) "606" ["Sin_333bf"]=> string(4) "6047" ["Sin_333fm"]=> string(2) "18" ["Sin_333mbf"]=> string(9) "890339601" ["Sin_333oh"]=> string(4) "1056" ["Sin_444"]=> string(4) "2222" ["Sin_444bf"]=> string(5) "34404" ["Sin_555"]=> string(4) "4909" ["Sin_555bf"]=> string(5) "72300" ["Sin_666"]=> string(4) "9029" ["Sin_777"]=> string(5) "14285" ["Sin_clock"]=> string(3) "581" ["Sin_minx"]=> string(4) "4816" ["Sin_pyram"]=> string(3) "242" ["Sin_skewb"]=> string(3) "239" ["Sin_sq1"]=> string(3) "877" } }

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	Kun Zhu (朱锟)	Wong Chong Wen (黄崇文)
FMC single	43	18
Square one single	10.12	8.77
Square one average	14.06	11.47
2x2 single	4.88	1.34
2x2 average	7.09	2.87
3x3 average	13.9	8.57
Skewb single	8.07	2.39
3x3 single	12.33	6.06
Pyraminx single	9.54	2.42
One handed average	20.6	13.46
One handed single	18.59	10.56
Skewb average	12.12	4.08
Pyraminx average	11.94	3.27
Clock single	14.61	5.81
Clock average	16.05	6.95
4x4 single	41.29	22.22
4x4 average	53.32	27.7
FMC average	45	19.33
5x5 single	1:29.77	49.09
5x5 average	1:43.72	52.45
Megaminx single	2:47.32	48.16
6x6 single	3:32.61	1:30.29
7x7 single	5:24.46	2:22.85
3BLD single	4:58.71	1:00.47
Multiblind		11 / 12 in 56:36
5BLD average		16:40.00
5BLD single		12:03.00
4BLD average		7:37.94
4BLD single		5:44.04
7x7 average		2:30.39
6x6 average		1:36.30
3BLD average		1:24.35
Megaminx average		52.11

Based on data export from 19th April 2026
Please report bugs or feature requests to bugs@nemesizer.com