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array(2) { ["2022NUNE03"]=> array(34) { ["Ave_222"]=> string(3) "106" ["Ave_333"]=> string(3) "608" ["Ave_333bf"]=> NULL ["Ave_333fm"]=> NULL ["Ave_333oh"]=> string(4) "1511" ["Ave_444"]=> string(4) "5338" ["Ave_444bf"]=> NULL ["Ave_555"]=> NULL ["Ave_555bf"]=> NULL ["Ave_666"]=> NULL ["Ave_777"]=> NULL ["Ave_clock"]=> string(3) "452" ["Ave_minx"]=> string(5) "10066" ["Ave_pyram"]=> string(3) "265" ["Ave_skewb"]=> string(3) "243" ["Ave_sq1"]=> string(3) "887" ["type"]=> string(6) "result" ["Sin_222"]=> string(2) "72" ["Sin_333"]=> string(3) "472" ["Sin_333bf"]=> NULL ["Sin_333fm"]=> NULL ["Sin_333mbf"]=> NULL ["Sin_333oh"]=> string(4) "1128" ["Sin_444"]=> string(4) "4752" ["Sin_444bf"]=> NULL ["Sin_555"]=> NULL ["Sin_555bf"]=> NULL ["Sin_666"]=> NULL ["Sin_777"]=> NULL ["Sin_clock"]=> string(3) "354" ["Sin_minx"]=> string(4) "8872" ["Sin_pyram"]=> string(2) "96" ["Sin_skewb"]=> string(3) "174" ["Sin_sq1"]=> string(3) "660" } ["2018KHAN28"]=> array(34) { ["Ave_222"]=> string(2) "92" ["Ave_333"]=> string(3) "669" ["Ave_333bf"]=> string(5) "25265" ["Ave_333fm"]=> string(4) "2867" ["Ave_333oh"]=> string(4) "1136" ["Ave_444"]=> string(4) "3258" ["Ave_444bf"]=> NULL ["Ave_555"]=> string(4) "6562" ["Ave_555bf"]=> NULL ["Ave_666"]=> string(5) "12337" ["Ave_777"]=> string(5) "20131" ["Ave_clock"]=> string(3) "924" ["Ave_minx"]=> string(4) "4588" ["Ave_pyram"]=> string(3) "306" ["Ave_skewb"]=> string(3) "156" ["Ave_sq1"]=> string(3) "745" ["type"]=> string(6) "result" ["Sin_222"]=> string(2) "50" ["Sin_333"]=> string(3) "471" ["Sin_333bf"]=> string(5) "14016" ["Sin_333fm"]=> string(2) "25" ["Sin_333mbf"]=> NULL ["Sin_333oh"]=> string(3) "861" ["Sin_444"]=> string(4) "2835" ["Sin_444bf"]=> NULL ["Sin_555"]=> string(4) "5816" ["Sin_555bf"]=> NULL ["Sin_666"]=> string(5) "11613" ["Sin_777"]=> string(5) "18202" ["Sin_clock"]=> string(3) "732" ["Sin_minx"]=> string(4) "3988" ["Sin_pyram"]=> string(3) "193" ["Sin_skewb"]=> string(2) "81" ["Sin_sq1"]=> string(3) "600" } }

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	Matias Marcantoni-Nunez	Zayn Khanani
Clock average	4.52	9.24
Clock single	3.54	7.32
Pyraminx single	0.96	1.93
3x3 average	6.08	6.69
Pyraminx average	2.65	3.06
4BLD average
5BLD average
Multiblind
4BLD single
5BLD single
3x3 single	4.72	4.71
2x2 average	1.06	0.92
2x2 single	0.72	0.5
Square one single	6.6	6
Skewb average	2.43	1.56
Skewb single	1.74	0.81
Square one average	8.87	7.45
One handed single	11.28	8.61
One handed average	15.11	11.36
4x4 single	47.52	28.35
4x4 average	53.38	32.58
Megaminx single	1:28.72	39.88
Megaminx average	1:40.66	45.88
3BLD average		4:12.65
7x7 average		3:21.31
7x7 single		3:02.02
3BLD single		2:20.16
6x6 average		2:03.37
6x6 single		1:56.13
5x5 average		1:05.62
5x5 single		58.16
FMC average		28.67
FMC single		25

Based on data export from 17th June 2026
Please report bugs or feature requests to bugs@nemesizer.com