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array(2) { ["2016CHEN86"]=> array(34) { ["Ave_222"]=> string(3) "449" ["Ave_333"]=> string(4) "1082" ["Ave_333bf"]=> string(5) "13087" ["Ave_333fm"]=> NULL ["Ave_333oh"]=> string(4) "2162" ["Ave_444"]=> string(4) "5572" ["Ave_444bf"]=> NULL ["Ave_555"]=> NULL ["Ave_555bf"]=> NULL ["Ave_666"]=> NULL ["Ave_777"]=> NULL ["Ave_clock"]=> string(4) "1051" ["Ave_minx"]=> string(4) "4569" ["Ave_pyram"]=> string(3) "619" ["Ave_skewb"]=> string(3) "475" ["Ave_sq1"]=> NULL ["type"]=> string(6) "result" ["Sin_222"]=> string(3) "231" ["Sin_333"]=> string(3) "941" ["Sin_333bf"]=> string(4) "8881" ["Sin_333fm"]=> NULL ["Sin_333mbf"]=> NULL ["Sin_333oh"]=> string(4) "1955" ["Sin_444"]=> string(4) "4999" ["Sin_444bf"]=> NULL ["Sin_555"]=> NULL ["Sin_555bf"]=> NULL ["Sin_666"]=> NULL ["Sin_777"]=> NULL ["Sin_clock"]=> string(3) "987" ["Sin_minx"]=> string(4) "4279" ["Sin_pyram"]=> string(3) "378" ["Sin_skewb"]=> string(3) "383" ["Sin_sq1"]=> string(4) "5013" } ["2021PARO01"]=> array(34) { ["Ave_222"]=> string(3) "158" ["Ave_333"]=> string(3) "902" ["Ave_333bf"]=> string(5) "10609" ["Ave_333fm"]=> NULL ["Ave_333oh"]=> string(4) "1575" ["Ave_444"]=> string(4) "3232" ["Ave_444bf"]=> NULL ["Ave_555"]=> string(4) "6438" ["Ave_555bf"]=> NULL ["Ave_666"]=> string(5) "12645" ["Ave_777"]=> string(5) "24362" ["Ave_clock"]=> string(3) "414" ["Ave_minx"]=> string(4) "4144" ["Ave_pyram"]=> string(3) "357" ["Ave_skewb"]=> string(3) "375" ["Ave_sq1"]=> string(4) "1198" ["type"]=> string(6) "result" ["Sin_222"]=> string(2) "90" ["Sin_333"]=> string(3) "665" ["Sin_333bf"]=> string(4) "6247" ["Sin_333fm"]=> string(2) "34" ["Sin_333mbf"]=> NULL ["Sin_333oh"]=> string(4) "1383" ["Sin_444"]=> string(4) "2628" ["Sin_444bf"]=> string(5) "63600" ["Sin_555"]=> string(4) "5673" ["Sin_555bf"]=> NULL ["Sin_666"]=> string(5) "11981" ["Sin_777"]=> string(5) "22999" ["Sin_clock"]=> string(3) "353" ["Sin_minx"]=> string(4) "3792" ["Sin_pyram"]=> string(3) "243" ["Sin_skewb"]=> string(3) "180" ["Sin_sq1"]=> string(3) "748" } }

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	Hanlin Chen (陈瀚林)	Matteo Parodi
FMC average
4BLD average
5BLD average
Multiblind
5BLD single
Skewb average	4.75	3.75
Pyraminx single	3.78	2.43
2x2 single	2.31	0.9
3x3 average	10.82	9.02
Skewb single	3.83	1.8
Pyraminx average	6.19	3.57
3x3 single	9.41	6.65
2x2 average	4.49	1.58
Megaminx average	45.69	41.44
Megaminx single	42.79	37.92
One handed single	19.55	13.83
One handed average	21.62	15.75
Clock single	9.87	3.53
Clock average	10.51	4.14
4x4 average	55.72	32.32
4x4 single	49.99	26.28
3BLD average	2:10.87	1:46.09
3BLD single	1:28.81	1:02.47
Square one single	50.13	7.48
4BLD single		10:36.00
7x7 average		4:03.62
7x7 single		3:49.99
6x6 average		2:06.45
6x6 single		1:59.81
5x5 average		1:04.38
5x5 single		56.73
Square one average		11.98
FMC single		34

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