Bay Area Speedcubin' 66 - Belmont 2024
2x2x2 Cube Psych Sheet
Sorted by: average, sort by single
| # | Name | WCA ID | Representing | Average | WR | Single | WR | |
|---|---|---|---|---|---|---|---|---|
| 1 | Stanley Tran | 2019TRAN04 | United States | 1.81 | 382 | 1.10 | 892 | |
| 2 | Sebastian Stone | 2022STON09 | United States | 2.12 | 757 | 1.14 | 1026 | |
| 3 | Trevor Mendelson | 2022MEND14 | United States | 2.12 | 757 | 1.21 | 1286 | |
| 4 | Jonathan Rutenberg | 2023RUTE01 | Israel | 2.14 | 781 | 0.80 | 248 | |
| 5 | Dean Jacob Adamo Susskind | 2022SUSS01 | United States | 2.31 | 1026 | 1.06 | 770 | |
| 6 | Max Li | 2022LIMA02 | United States | 2.34 | 1088 | 1.38 | 2011 | |
| 7 | Kenji Gipson-Nahman | 2023GIPS01 | United States | 2.35 | 1119 | 0.87 | 360 | |
| 8 | Jaidon Poraminthara Lin (เจเดิ้น ปรมินทร์ หลิน) | 2019LINJ04 | United States | 2.35 | 1119 | 1.04 | 711 | |
| 9 | Mitchell Lane | 2010LANE02 | United States | 2.55 | 1599 | 0.87 | 360 | |
| 10 | Calvin Nielson | 2014NIEL03 | United States | 2.67 | 1908 | 1.02 | 675 | |
| 11 | Nolan Yiu | 2016YIUN01 | United States | 2.70 | 2006 | 0.88 | 389 | |
| 12 | Gurshan Singh | 2019SING33 | United States | 2.76 | 2233 | 1.64 | 3531 | |
| 13 | Austin Chen | 2022CHEN77 | United States | 2.79 | 2327 | 1.99 | 6122 | |
| 14 | Ethan Mendelson | 2022MEND13 | United States | 2.81 | 2396 | 1.04 | 711 | |
| 15 | Sid Shivnath | 2023SHIV05 | United States | 3.04 | 3343 | 2.35 | 10204 | |
| 16 | Vismay Murthy | 2022MURT01 | United States | 3.13 | 3786 | 2.03 | 6493 | |
| 17 | Rahul Bollini | 2023BOLL01 | United States | 3.33 | 4972 | 1.40 | 2117 | |
| 18 | Benjamin Brown | 2018BROW22 | United States | 3.46 | 5806 | 2.31 | 9661 | |
| 19 | Stephen Zhu | 2023ZHUS02 | United States | 3.52 | 6212 | 2.33 | 9907 | |
| 20 | David Lin | 2012LIND02 | United States | 3.53 | 6279 | 2.09 | 7089 | |
| 21 | Owen Yepeng Sun (孙叶芃) | 2017SUNY01 | China | 3.55 | 6439 | 2.60 | 13747 | |
| 22 | Tavia Jorjorian-Miller | 2023JORJ01 | United States | 3.58 | 6656 | 1.71 | 3990 | |
| 23 | Micah Yeo | 2022YEOM01 | United States | 3.61 | 6886 | 1.84 | 4882 | |
| 24 | Evan Zhou | 2022ZHOU04 | China | 3.62 | 6974 | 1.75 | 4240 | |
| 25 | Vinh Vu | 2023VUVI01 | United States | 3.62 | 6974 | 2.69 | 15082 | |
| 26 | Ethan Lin | 2023LINE03 | United States | 3.64 | 7128 | 1.72 | 4057 | |
| 27 | Brandon Yee | 2022YEEB01 | United States | 3.67 | 7379 | 3.36 | 26912 | |
| 28 | Sabir Dhillon | 2022DHIL02 | United States | 3.76 | 8127 | 2.56 | 13109 | |
| 29 | Taylor Schannon | 2022SCHA17 | United States | 3.85 | 8995 | 1.85 | 4964 | |
| 30 | Yuanrui Zhang | 2023ZHAN48 | United States | 3.86 | 9079 | 1.48 | 2561 | |
| 31 | Caleb Suh | 2022SUHC01 | United States | 3.87 | 9177 | 2.35 | 10204 | |
| 32 | Avi Kumar Agarwal | 2023AGAR02 | United States | 4.04 | 10910 | 2.22 | 8564 | |
| 33 | Sean Greshock | 2023GRES02 | United States | 4.14 | 11993 | 2.61 | 13889 | |
| 34 | David Karalli (داود قراعلي) | 2020KARA01 | United States | 4.16 | 12218 | 2.28 | 9275 | |
| 35 | Vedanth Bharadwaj | 2021BHAR01 | United States | 4.36 | 14615 | 2.64 | 14316 | |
| 36 | Young He (何嘉炀) | 2014HEYO01 | China | 4.55 | 17186 | 2.29 | 9415 | |
| 37 | Logan Kubota | 2023KUBO01 | United States | 4.61 | 17978 | 3.87 | 36631 | |
| 38 | Matthew Ketroser | 2024KETR01 | United States | 4.67 | 18795 | 2.96 | 19649 | |
| 39 | Emmett O'Leary-Liu | 2019OLEA02 | United States | 4.73 | 19616 | 2.21 | 8441 | |
| 40 | Yuto Konno | 2023KONN01 | United States | 4.81 | 20772 | 3.85 | 36285 | |
| 41 | Colin Hartman | 2023HART21 | United States | 4.90 | 22195 | 2.99 | 20175 | |
| 42 | Gabriel Hsieh | 2023HSIE03 | Chinese Taipei | 4.93 | 22647 | 3.12 | 22521 | |
| 43 | Jonathan Ho | 2022HOJO01 | United States | 5.17 | 26361 | 3.64 | 32203 | |
| 44 | Michael Sweeney Terrell | 2021TERR04 | United States | 5.21 | 27001 | 5.05 | 59846 | |
| 45 | Daniel Jean-Soo Rhee | 2024RHEE01 | United States | 5.25 | 27673 | 3.33 | 26397 | |
| 46 | Donovan Baquiran | 2024BAQU01 | United States | 5.32 | 28808 | 3.60 | 31430 | |
| 47 | Chloe Ho | 2022HOCH02 | United States | 5.33 | 28949 | 4.98 | 58544 | |
| 48 | Ryan Willey | 2023WILL33 | United States | 5.36 | 29456 | 4.64 | 51843 | |
| 49 | Saai S. Shingare | 2023SHIN21 | United States | 5.84 | 37500 | 2.91 | 18778 | |
| 50 | Gavin Hartman | 2023HART22 | United States | 6.18 | 43280 | 4.31 | 45389 | |
| 51 | Max Roche | 2018ROCH07 | United States | 6.19 | 43435 | 5.17 | 62169 | |
| 52 | Warren Xiao | 2022XIAO02 | United States | 7.34 | 61700 | 6.75 | 88579 | |
| 53 | Arnav Chourasia | 2023CHOU03 | United States | 7.64 | 66042 | 5.98 | 76630 | |
| 54 | Veehan Pirta | 2023PIRT01 | United States | 8.03 | 71342 | 4.67 | 52483 | |
| 55 | Taylor Greene | 2022GREE06 | United States | 8.43 | 76337 | 5.47 | 67714 | |
| 56 | Hanwen Mao (毛翰文) | 2015MAOH01 | China | 8.55 | 77756 | 5.92 | 75618 | |
| 57 | Mazin Rodriguez | 2024RODR48 | United States | 8.62 | 78595 | 6.54 | 85504 | |
| 58 | Thomas Rond | 2004ROND01 | United States | 9.49 | 87941 | 6.60 | 86420 | |
| 59 | Milo de los Reyes | 2023REYE27 | United States | 9.91 | 91710 | 7.49 | 97796 | |
| 60 | Harper Zhang | 2024ZHAN92 | United States | 10.52 | 96604 | 9.34 | 114965 | |
| 61 | Lucas Bertocchini | 2024BERT04 | United States | 10.95 | 99855 | 6.55 | 85632 | |
| 62 | Shad Al Getany | 2023GETA01 | United States | 11.65 | 104549 | 9.23 | 114151 | |
| 63 | Connor Maxwell Cobra Chan | 2023CHAC06 | United States | 12.06 | 106931 | 8.98 | 112186 | |
| 64 | Andrew Tay | 2024TAYA02 | United States | 13.60 | 114528 | 6.79 | 89128 | |
| Luca Ma | 2022MALU01 | United States | ||||||
| Maxwell See | 2024SEEM02 | United States | ||||||
| Neil Sethi | 2022SETH02 | United States | ||||||
| Sahil Sayeram | United States | |||||||
| Thomson Chen | 2024CHEN46 | United States |