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array(2) { ["2009PROV01"]=> array(34) { ["Ave_222"]=> string(3) "249" ["Ave_333"]=> string(3) "957" ["Ave_333bf"]=> string(5) "12350" ["Ave_333fm"]=> string(4) "3733" ["Ave_333oh"]=> string(4) "1647" ["Ave_444"]=> string(4) "4289" ["Ave_444bf"]=> NULL ["Ave_555"]=> string(4) "7562" ["Ave_555bf"]=> NULL ["Ave_666"]=> string(5) "15266" ["Ave_777"]=> string(5) "24316" ["Ave_clock"]=> string(3) "963" ["Ave_minx"]=> string(5) "13891" ["Ave_pyram"]=> string(3) "604" ["Ave_skewb"]=> string(4) "1138" ["Ave_sq1"]=> NULL ["type"]=> string(6) "result" ["Sin_222"]=> string(2) "83" ["Sin_333"]=> string(3) "754" ["Sin_333bf"]=> string(4) "8954" ["Sin_333fm"]=> string(2) "25" ["Sin_333mbf"]=> string(9) "930326900" ["Sin_333oh"]=> string(4) "1115" ["Sin_444"]=> string(4) "3464" ["Sin_444bf"]=> NULL ["Sin_555"]=> string(4) "6609" ["Sin_555bf"]=> NULL ["Sin_666"]=> string(5) "14033" ["Sin_777"]=> string(5) "22476" ["Sin_clock"]=> string(3) "785" ["Sin_minx"]=> string(5) "11870" ["Sin_pyram"]=> string(3) "333" ["Sin_skewb"]=> string(3) "509" ["Sin_sq1"]=> NULL } ["2015QUAN03"]=> array(34) { ["Ave_222"]=> string(3) "137" ["Ave_333"]=> string(3) "700" ["Ave_333bf"]=> string(4) "2574" ["Ave_333fm"]=> string(4) "2367" ["Ave_333oh"]=> string(4) "1147" ["Ave_444"]=> string(4) "2638" ["Ave_444bf"]=> string(5) "20463" ["Ave_555"]=> string(4) "4964" ["Ave_555bf"]=> string(5) "47969" ["Ave_666"]=> string(4) "9308" ["Ave_777"]=> string(5) "14578" ["Ave_clock"]=> string(3) "369" ["Ave_minx"]=> string(4) "4048" ["Ave_pyram"]=> string(3) "231" ["Ave_skewb"]=> string(3) "285" ["Ave_sq1"]=> string(3) "736" ["type"]=> string(6) "result" ["Sin_222"]=> string(2) "79" ["Sin_333"]=> string(3) "552" ["Sin_333bf"]=> string(4) "2177" ["Sin_333fm"]=> string(2) "21" ["Sin_333mbf"]=> string(9) "790332100" ["Sin_333oh"]=> string(3) "867" ["Sin_444"]=> string(4) "2132" ["Sin_444bf"]=> string(5) "15445" ["Sin_555"]=> string(4) "4408" ["Sin_555bf"]=> string(5) "36337" ["Sin_666"]=> string(4) "8245" ["Sin_777"]=> string(5) "13158" ["Sin_clock"]=> string(3) "311" ["Sin_minx"]=> string(4) "3588" ["Sin_pyram"]=> string(2) "78" ["Sin_skewb"]=> string(3) "118" ["Sin_sq1"]=> string(3) "547" } }

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	Matteo Provasi	Ng Jia Quan (黄佳铨)
FMC single	25	21
2x2 single	0.83	0.79
2x2 average	2.49	1.37
3x3 single	7.54	5.52
One handed single	11.15	8.67
Pyraminx single	3.33	0.78
3x3 average	9.57	7
Pyraminx average	6.04	2.31
Skewb single	5.09	1.18
Clock single	7.85	3.11
One handed average	16.47	11.47
Clock average	9.63	3.69
Skewb average	11.38	2.85
4x4 single	34.64	21.32
FMC average	37.33	23.67
4x4 average	42.89	26.38
5x5 single	1:06.09	44.08
5x5 average	1:15.62	49.64
6x6 single	2:20.33	1:22.45
6x6 average	2:32.66	1:33.08
3BLD single	1:29.54	21.77
Megaminx single	1:58.70	35.88
7x7 single	3:44.76	2:11.58
7x7 average	4:03.16	2:25.78
3BLD average	2:03.50	25.74
Megaminx average	2:18.91	40.48
Multiblind	6 / 6 in 54:29	20 / 20 in 55:21
5BLD average		7:59.69
5BLD single		6:03.37
4BLD average		3:24.63
4BLD single		2:34.45
Square one average		7.36
Square one single		5.47

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