[Cancelled] Bay Area Speedcubin' 28 PM 2022
Note:
This competition has been cancelled. Please check the information section for more details.
Skewb Psych Sheet
Sorted by: average, sort by single
| # | Name | WCA ID | Representing | Average | WR | Single | WR | |
|---|---|---|---|---|---|---|---|---|
| 1 | Jack Stewart | 2017STEW08 | United States | 2.69 | 93 | 1.68 | 254 | |
| 2 | Cameron Miller (梅克龍) | 2018MILL08 | United States | 2.87 | 134 | 1.60 | 198 | |
| 3 | Jusun Choi (최주선) | 2011CHOI04 | Republic of Korea | 3.02 | 182 | 1.88 | 410 | |
| 4 | Paul Mahvi | 2012MAHV01 | United States | 3.19 | 255 | 1.29 | 56 | |
| 5 | Jordan Granados | 2019GRAN05 | United States | 3.28 | 295 | 2.32 | 935 | |
| 6 | Wilson Xie | 2017XIEW02 | United States | 3.50 | 392 | 2.63 | 1431 | |
| 7 | Mitchell Lane | 2010LANE02 | United States | 3.86 | 632 | 2.16 | 699 | |
| 8 | Isaac Langer | 2014LANG02 | United States | 3.93 | 695 | 2.23 | 798 | |
| 9 | Tyler Howlett | 2014HOWL02 | United States | 4.14 | 889 | 2.07 | 608 | |
| 10 | Michael Larsen | 2017LARS03 | United States | 4.29 | 1011 | 1.68 | 254 | |
| 11 | Nolan Yiu | 2016YIUN01 | United States | 4.53 | 1302 | 2.88 | 1948 | |
| 12 | Aaron Paskow | 2016PASK01 | United States | 4.68 | 1516 | 2.43 | 1107 | |
| 13 | Nico Harper (李有為) | 2016HARP02 | United States | 4.69 | 1530 | 2.47 | 1164 | |
| 14 | Will Newhoff | 2015NEWH01 | United States | 4.86 | 1799 | 2.80 | 1772 | |
| 15 | Efrem Blitz | 2015BLIT01 | United States | 5.07 | 2133 | 3.07 | 2404 | |
| 16 | Kasper Jansson | 2018JANS05 | United States | 5.07 | 2133 | 3.41 | 3353 | |
| 17 | Evan Mann | 2016MANN01 | United States | 5.62 | 3182 | 3.37 | 3224 | |
| 18 | Cary Huang | 2015HUAN48 | United States | 5.76 | 3475 | 4.16 | 5940 | |
| 19 | Jeremy Benik | 2016BENI05 | United States | 5.87 | 3699 | 3.59 | 3970 | |
| 20 | Evan Chin | 2017CHIN03 | United States | 6.30 | 4743 | 4.34 | 6639 | |
| 21 | Jacob Bote | 2019BOTE01 | United States | 6.43 | 5076 | 4.21 | 6146 | |
| 22 | Jiazheng Zhao (赵家正) | 2014ZHAO10 | China | 6.48 | 5194 | 4.22 | 6190 | |
| 23 | Daniel Cho | 2021CHOD01 | United States | 6.89 | 6221 | 3.61 | 4027 | |
| 24 | Rehan Shaik | 2016SHAI02 | United States | 7.55 | 8052 | 3.81 | 4677 | |
| 25 | Solomon Fraga | 2019FRAG03 | United States | 7.64 | 8337 | 5.59 | 11765 | |
| 26 | Marc Mariano | 2014MARI11 | United States | 7.75 | 8661 | 6.06 | 13758 | |
| 27 | Vedanth Bharadwaj | 2021BHAR01 | United States | 7.79 | 8768 | 4.98 | 9123 | |
| 28 | Keshav Rangan | 2019RANG01 | United States | 7.81 | 8833 | 5.57 | 11686 | |
| 29 | Christopher Sun | 2017SUNC01 | United States | 7.81 | 8833 | 5.97 | 13384 | |
| 30 | Lucas Aubin | 2019AUBI01 | United States | 8.10 | 9719 | 4.93 | 8939 | |
| 31 | Brent Wong | 2015WONG06 | United States | 8.17 | 9919 | 4.21 | 6146 | |
| 32 | Edward Leung | 2019LEUN05 | United States | 8.74 | 11612 | 5.78 | 12566 | |
| 33 | Elijah Gabriel Ret | 2019RETE01 | United States | 9.01 | 12430 | 5.52 | 11488 | |
| 34 | Emmett O'Leary-Liu | 2019OLEA02 | United States | 9.33 | 13453 | 5.44 | 11121 | |
| 35 | Matthew Lee | 2019LEEM02 | United States | 9.35 | 13505 | 6.06 | 13758 | |
| 36 | Austin Chen | 2015CHEN20 | United States | 9.42 | 13742 | 7.43 | 19835 | |
| 37 | Logan Pang | 2022PANG01 | United States | 9.54 | 14110 | 5.18 | 10005 | |
| 38 | Andrew Ahlem | 2022AHLE01 | United States | 9.97 | 15538 | 7.05 | 18140 | |
| 39 | Ethan Seitz | 2021SEIT01 | United States | 10.57 | 17446 | 7.02 | 17993 | |
| 40 | Chengxi Li | 2014LICH04 | China | 10.76 | 18042 | 6.64 | 16289 | |
| 41 | Russell Sundar | 2022SUND01 | United States | 10.92 | 18571 | 7.03 | 18041 | |
| 42 | Varun Belligundu | 2021BELL03 | United States | 11.25 | 19624 | 9.13 | 26902 | |
| 43 | Myles Jordan Villar | 2016VILL39 | United States | 11.35 | 19957 | 7.27 | 19118 | |
| 44 | Shane Kim | 2022KIMS01 | United States | 11.87 | 21518 | 11.49 | 35046 | |
| 45 | Elvis Clark | 2022CLAR04 | United States | 12.12 | 22289 | 7.84 | 21600 | |
| 46 | Lucas Garron | 2006GARR01 | Germany | 12.34 | 23006 | 7.85 | 21647 | |
| 47 | Jasper Elsley | 2019ELSL01 | United States | 12.58 | 23740 | 8.85 | 25814 | |
| 48 | Natalie To | 2016TONA01 | United States | 13.52 | 26478 | 9.12 | 26861 | |
| 49 | Warren Xiao | 2022XIAO02 | United States | 14.48 | 29087 | 11.78 | 35881 | |
| 50 | Debanshu Ghosh | 2018GHOS03 | India | 14.61 | 29406 | 8.91 | 26023 | |
| 51 | Soeren Codel | 2020CODE01 | United States | 14.78 | 29843 | 8.56 | 24658 | |
| 52 | Marcus Jakob Panahon | 2016PANA01 | United States | 16.78 | 34556 | 9.86 | 29646 | |
| 53 | Richard Anthony Parada | 2018PARA15 | United States | 17.43 | 35889 | 9.35 | 27789 | |
| 54 | Quinn Luk | 2022LUKQ01 | United States | 17.85 | 36687 | 15.56 | 44543 | |
| 55 | Adrian George | 2019GEOR08 | United States | 18.67 | 38267 | 14.34 | 42266 | |
| 56 | Jeffery Wang | 2023WANG21 | United States | 23.26 | 44742 | 15.16 | 43839 | |
| 57 | Chloe Parker | 2020PARK02 | United States | 25.50 | 46934 | 16.36 | 45840 | |
| 58 | Sara Rose | 2022ROSE09 | United States | 28.24 | 48873 | 24.46 | 52796 | |
| 59 | Ben Hatfield | 2018HATF01 | United States | 28.88 | 49236 | 21.85 | 51408 | |
| 60 | Allen Xiao | 2022XIAO01 | United States | 41.34 | 52463 | 26.06 | 53376 | |
| Aaron Jiang | 2016JIAN30 | United States | ||||||
| Bhargava Gumpula | 2019GUMP01 | India | ||||||
| Blu Clark | 2022CLAR08 | United States | ||||||
| Carolyn Pham | 2019PHAM07 | United States | ||||||
| Chenkai Shao (邵晨恺) | 2009SHAO05 | China | ||||||
| Daniel Smith | 2022SMIT02 | Canada | ||||||
| Harshil Shah | 2018SHAH35 | United States | ||||||
| Hosea Price | United States | |||||||
| Ismail Akeel | United States | |||||||
| Janesh Jayanarayanan | United States | |||||||
| Jayden Kang | 2021KANG03 | United States | ||||||
| Joseph Boyer | 2023BOYE05 | United States | ||||||
| Max Hill | United States | |||||||
| Ronav Mandal | United States | |||||||
| Saksham Dhuria | India | |||||||
| Vibhor Singhai | United States | |||||||
| Vincent Nguyen | United States | |||||||
| Vivek Verma | 2016VERM04 | United States |