Bay Area Speedcubin' 66 - Belmont 2024


3x3x3 Cube Psych Sheet

Sorted by: average, sort by single

# Name WCA ID Representing Average WR Single WR
1 Gurshan Singh 2019SING33 United States 7.37 523 5.72 571
2 Benjamin Brown 2018BROW22 United States 7.37 523 6.05 873
3 Trevor Mendelson 2022MEND14 United States 7.54 674 6.42 1373
4 Micah Yeo 2022YEOM01 United States 7.57 710 5.44 366
5 Mitchell Lane 2010LANE02 United States 7.78 905 6.25 1118
6 Vismay Murthy 2022MURT01 United States 7.85 970 5.40 344
7 Sebastian Stone 2022STON09 United States 7.94 1079 4.08 24
8 Kenji Gipson-Nahman 2023GIPS01 United States 8.16 1337 4.84 152
9 Dean Jacob Adamo Susskind 2022SUSS01 United States 8.35 1626 6.42 1373
10 Vinh Vu 2023VUVI01 United States 8.81 2505 7.50 3699
11 Max Li 2022LIMA02 United States 8.95 2828 6.95 2350
12 Jonathan Rutenberg 2023RUTE01 Israel 9.05 3049 6.87 2181
13 Ethan Lin 2023LINE03 United States 9.29 3620 8.30 6562
14 Stanley Tran 2019TRAN04 United States 9.32 3710 6.42 1373
15 Calvin Nielson 2014NIEL03 United States 9.37 3845 7.41 3446
16 Sid Shivnath 2023SHIV05 United States 9.50 4217 6.93 2306
17 Yuanrui Zhang 2023ZHAN48 United States 9.50 4217 7.34 3260
18 David Lin 2012LIND02 United States 9.50 4217 7.71 4368
19 Pravith Velmurugan 2022VELM01 India 9.61 4501 8.39 6957
20 Rahul Bollini 2023BOLL01 United States 9.63 4562 8.16 5991
21 David Karalli (داود قراعلي) 2020KARA01 United States 9.79 5074 8.46 7259
22 Nolan Yiu 2016YIUN01 United States 10.14 6273 7.65 4172
23 Jaidon Poraminthara Lin (เจเดิ้น ปรมินทร์ หลิน) 2019LINJ04 United States 10.21 6542 7.41 3446
24 Caleb Suh 2022SUHC01 United States 10.21 6542 8.03 5514
25 Sabir Dhillon 2022DHIL02 United States 10.25 6688 7.57 3922
26 Evan Zhou 2022ZHOU04 China 10.27 6758 7.66 4202
27 Ethan Mendelson 2022MEND13 United States 10.65 8215 9.07 10186
28 Austin Chen 2022CHEN77 United States 10.83 8972 8.28 6482
29 Gabriel Hsieh 2023HSIE03 Chinese Taipei 11.04 9887 8.60 7867
30 Yuto Konno 2023KONN01 United States 11.20 10660 9.68 13628
31 Brandon Yee 2022YEEB01 United States 11.38 11533 8.97 9663
32 Taylor Schannon 2022SCHA17 United States 11.38 11533 9.59 13084
33 Wenda Jiang (江闻达) 2013JIAN11 China 11.52 12211 9.56 12907
34 Jonathan Ho 2022HOJO01 United States 11.58 12493 9.44 12189
35 Paul Yi 2006YIPA01 United States 11.76 13433 10.64 19805
36 Tavia Jorjorian-Miller 2023JORJ01 United States 11.78 13544 9.18 10769
37 Owen Yepeng Sun (孙叶芃) 2017SUNY01 China 11.91 14221 10.02 15658
38 Stephen Zhu 2023ZHUS02 United States 11.91 14221 10.26 17235
39 Leyan Lo 2004LOLE01 United States 11.91 14221 10.40 18168
40 Michael Sweeney Terrell 2021TERR04 United States 12.07 15081 9.85 14598
41 Chloe Ho 2022HOCH02 United States 12.43 17076 11.25 24167
42 Vedanth Bharadwaj 2021BHAR01 United States 12.88 19649 9.47 12367
43 Colin Hartman 2023HART21 United States 12.97 20206 10.20 16846
44 Matthew Ketroser 2024KETR01 United States 13.11 21039 10.96 22014
45 Emmett O'Leary-Liu 2019OLEA02 United States 13.19 21577 10.27 17295
46 Luca Ma 2022MALU01 United States 13.43 23057 10.47 18624
47 Donovan Baquiran 2024BAQU01 United States 13.46 23249 12.07 30730
48 Avi Kumar Agarwal 2023AGAR02 United States 14.02 26908 12.30 32549
49 Mazin Rodriguez 2024RODR48 United States 15.46 36717 13.06 38803
50 Tyson Mao (毛台勝) 2004MAOT02 United States 15.59 37643 12.43 33649
51 Daniel Jean-Soo Rhee 2024RHEE01 United States 15.76 38844 13.39 41601
52 Logan Kubota 2023KUBO01 United States 16.11 41200 12.79 36679
53 Young He (何嘉炀) 2014HEYO01 China 16.53 44152 13.64 43666
54 Max Roche 2018ROCH07 United States 16.96 47077 15.04 55014
55 Ryan Willey 2023WILL33 United States 19.86 65971 18.05 77822
56 Harper Zhang 2024ZHAN92 United States 19.89 66143 17.39 73063
57 Sean Greshock 2023GRES02 United States 20.09 67402 17.20 71587
58 Thomas Rond 2004ROND01 United States 21.20 74214 18.38 80229
59 Warren Xiao 2022XIAO02 United States 21.28 74691 13.82 45125
60 Lucas Bertocchini 2024BERT04 United States 21.84 78002 19.12 85357
61 Maxwell See 2024SEEM02 United States 23.14 85513 18.61 81924
62 Taylor Greene 2022GREE06 United States 24.97 95672 21.41 100506
63 Veehan Pirta 2023PIRT01 United States 25.84 100252 18.26 79306
64 Arnav Chourasia 2023CHOU03 United States 25.92 100659 20.80 96492
65 Saai S. Shingare 2023SHIN21 United States 26.26 102284 13.31 40937
66 Hanwen Mao (毛翰文) 2015MAOH01 China 26.33 102623 20.81 96552
67 Gavin Hartman 2023HART22 United States 26.95 105787 22.18 105369
68 Neil Sethi 2022SETH02 United States 28.50 113141 21.60 101734
69 Andrew Tay 2024TAYA02 United States 28.85 114753 24.50 118635
70 Shad Al Getany 2023GETA01 United States 34.19 136493 21.01 97891
71 Connor Maxwell Cobra Chan 2023CHAC06 United States 35.45 141078 28.11 136446
72 Thomson Chen 2024CHEN46 United States 35.71 141971 29.46 142413
73 Milo de los Reyes 2023REYE27 United States 47.30 174614 40.21 179050
74 Victor Mao 2023MAOV01 United States 54.29 188556 50.55 200816
Sahil Sayeram United States
Cookies help us deliver our services. By using our services, you agree to our use of cookies.