Bay Area Speedcubin' 66 - Belmont 2024


4x4x4 Cube Psych Sheet

Sorted by: average, sort by single

# Name WCA ID Representing Average WR Single WR
1 Mitchell Lane 2010LANE02 United States 31.49 617 27.24 689
2 Gurshan Singh 2019SING33 United States 33.01 933 27.72 790
3 Stanley Tran 2019TRAN04 United States 35.22 1526 31.05 1816
4 Jonathan Rutenberg 2023RUTE01 Israel 36.97 2136 31.56 1994
5 Wenda Jiang (江闻达) 2013JIAN11 China 38.19 2614 33.66 2983
6 Rahul Bollini 2023BOLL01 United States 38.27 2661 34.00 3186
7 Pravith Velmurugan 2022VELM01 India 38.73 2867 34.37 3378
8 Kenji Gipson-Nahman 2023GIPS01 United States 38.84 2919 31.99 2167
9 Micah Yeo 2022YEOM01 United States 39.25 3100 34.74 3571
10 Nolan Yiu 2016YIUN01 United States 39.84 3379 31.19 1863
11 Trevor Mendelson 2022MEND14 United States 41.52 4239 39.29 6645
12 Calvin Nielson 2014NIEL03 United States 43.69 5555 34.64 3519
13 Yuanrui Zhang 2023ZHAN48 United States 43.85 5662 37.80 5533
14 Sid Shivnath 2023SHIV05 United States 44.12 5839 37.26 5154
15 Vismay Murthy 2022MURT01 United States 44.17 5874 41.44 8318
16 Dean Jacob Adamo Susskind 2022SUSS01 United States 44.51 6105 36.40 4587
17 Caleb Suh 2022SUHC01 United States 45.55 6766 41.53 8395
18 Brandon Yee 2022YEEB01 United States 46.81 7706 40.52 7548
19 Jaidon Poraminthara Lin (เจเดิ้น ปรมินทร์ หลิน) 2019LINJ04 United States 47.24 7982 40.92 7868
20 Jonathan Ho 2022HOJO01 United States 47.71 8309 38.72 6197
21 Ethan Mendelson 2022MEND13 United States 47.93 8508 39.89 7093
22 Benjamin Brown 2018BROW22 United States 48.02 8577 41.74 8562
23 Sebastian Stone 2022STON09 United States 48.26 8760 39.87 7077
24 Vinh Vu 2023VUVI01 United States 48.89 9224 41.01 7938
25 David Lin 2012LIND02 United States 49.24 9488 45.19 11530
26 Taylor Schannon 2022SCHA17 United States 49.24 9488 45.32 11647
27 Max Li 2022LIMA02 United States 49.52 9708 45.77 12057
28 Sabir Dhillon 2022DHIL02 United States 49.91 9990 46.23 12436
29 David Karalli (داود قراعلي) 2020KARA01 United States 50.09 10125 42.80 9456
30 Owen Yepeng Sun (孙叶芃) 2017SUNY01 China 51.17 10961 47.35 13468
31 Emmett O'Leary-Liu 2019OLEA02 United States 52.48 11993 46.15 12374
32 Tavia Jorjorian-Miller 2023JORJ01 United States 52.85 12307 45.32 11647
33 Vedanth Bharadwaj 2021BHAR01 United States 53.18 12567 48.14 14196
34 Evan Zhou 2022ZHOU04 China 53.54 12869 45.55 11854
35 Yuto Konno 2023KONN01 United States 56.64 15409 47.28 13389
36 Stephen Zhu 2023ZHUS02 United States 59.42 17560 54.77 20007
37 Avi Kumar Agarwal 2023AGAR02 United States 1:00.38 18258 51.13 16839
38 Logan Kubota 2023KUBO01 United States 1:02.98 20124 54.31 19593
39 Matthew Ketroser 2024KETR01 United States 1:03.03 20159 56.39 21285
40 Chloe Ho 2022HOCH02 United States 1:04.46 21151 1:01.61 25467
41 Colin Hartman 2023HART21 United States 1:05.46 21800 56.25 21178
42 Donovan Baquiran 2024BAQU01 United States 1:11.95 25869 1:02.64 26241
43 Austin Chen 2022CHEN77 United States 1:19.58 30057 1:03.16 26577
44 Young He (何嘉炀) 2014HEYO01 China 1:29.15 34287 1:15.25 35143
45 Thomas Rond 2004ROND01 United States 1:31.83 35197 1:16.71 36073
46 Neil Sethi 2022SETH02 United States 1:39.86 37464 1:36.18 46674
Ethan Lin 2023LINE03 United States 1:32.88 45036
Taylor Greene 2022GREE06 United States 1:42.38 49601
Mazin Rodriguez 2024RODR48 United States 1:52.38 53610
Shad Al Getany 2023GETA01 United States 1:54.23 54286
Gabriel Hsieh 2023HSIE03 Chinese Taipei
Hanwen Mao (毛翰文) 2015MAOH01 China
Maxwell See 2024SEEM02 United States
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