Gaithersburg Back to School 2024
3x3x3 Cube Psych Sheet
Sorted by: average, sort by single
| # | Name | WCA ID | Representing | Average | WR | Single | WR | |
|---|---|---|---|---|---|---|---|---|
| 1 | Shaun Mack | 2018MACK04 | United States | 6.26 | 96 | 4.67 | 86 | |
| 2 | Blake Thompson | 2010THOM03 | United States | 6.75 | 207 | 4.86 | 136 | |
| 3 | Sam Popp | 2019POPP01 | United States | 7.21 | 399 | 6.22 | 986 | |
| 4 | Brayden Adams | 2018ADAM06 | United States | 7.27 | 432 | 5.62 | 433 | |
| 5 | Liam Chen | 2014CHEN37 | United States | 7.28 | 438 | 6.19 | 945 | |
| 6 | Will Callan | 2012CALL01 | United States | 7.29 | 446 | 5.82 | 582 | |
| 7 | Raihan Sadr | 2021SADR01 | United States | 7.52 | 594 | 6.17 | 916 | |
| 8 | Hassan Khanani | 2018KHAN26 | United States | 7.57 | 655 | 5.93 | 672 | |
| 9 | Caleb Wen | 2022WENC03 | United States | 7.65 | 730 | 6.26 | 1031 | |
| 10 | Liam Manwaring | 2022MANW02 | United States | 7.72 | 794 | 6.85 | 1972 | |
| 11 | Will Venuti | 2022VENU02 | United States | 7.97 | 1046 | 6.95 | 2167 | |
| 12 | Daniel Greigg | 2015GREI01 | United States | 8.00 | 1076 | 6.24 | 1006 | |
| 13 | Declan Wilhelm | 2016WILH03 | United States | 8.44 | 1624 | 7.02 | 2307 | |
| 14 | Daniel Goodman | 2013GOOD01 | United States | 8.61 | 1933 | 6.74 | 1780 | |
| 15 | Panashe Sharma | 2022SHAR36 | United States | 8.61 | 1933 | 7.16 | 2606 | |
| 16 | Benson Kim | 2023KIMB02 | United States | 8.69 | 2079 | 7.28 | 2866 | |
| 17 | Duncan Kimmett | 2022KIMM08 | United States | 8.85 | 2418 | 7.64 | 3852 | |
| 18 | Wilson Dawson | 2022DAWS04 | United States | 8.94 | 2614 | 7.65 | 3880 | |
| 19 | Stone Payne | 2018SIMP06 | United States | 9.14 | 3032 | 7.32 | 2969 | |
| 20 | Hiro Fukui | 2022FUKU01 | United States | 9.15 | 3055 | 8.36 | 6415 | |
| 21 | Aarav Batra | 2022BATR02 | United States | 9.20 | 3154 | 7.36 | 3076 | |
| 22 | Eric Hsu | 2017HSUE02 | United States | 9.30 | 3403 | 8.04 | 5213 | |
| 23 | Drew Duong | 2022DUON08 | United States | 9.44 | 3783 | 8.08 | 5350 | |
| 24 | Samuel Brooks Dowdy | 2022DOWD02 | United States | 9.49 | 3919 | 7.85 | 4567 | |
| 25 | Wesley Chase | 2022CHAS02 | United States | 9.94 | 5191 | 8.08 | 5350 | |
| 26 | Nina Ozsvath | 2022OZSV03 | United States | 10.03 | 5500 | 7.87 | 4629 | |
| 27 | Nolan Rickett | 2016RICK01 | United States | 10.07 | 5636 | 8.03 | 5188 | |
| 28 | Shvant Gode | 2022GODE02 | United States | 10.09 | 5712 | 7.52 | 3497 | |
| 29 | Joaquín Villablanca | 2022VILL09 | Chile | 10.18 | 6024 | 8.31 | 6212 | |
| 30 | Tamar Ozsvath | 2022OZSV04 | United States | 10.32 | 6524 | 9.44 | 11498 | |
| 31 | Yuyang Zhen (甄禹扬) | 2013ZHEN11 | China | 10.36 | 6655 | 7.82 | 4433 | |
| 32 | Moses Dong | 2023DONG13 | United States | 10.48 | 7086 | 8.25 | 5957 | |
| 33 | David John Gomez | 2022GOME10 | United States | 10.61 | 7576 | 8.24 | 5921 | |
| 34 | Ariunsaikhan Erdenebileg | 2022ERDE06 | Mongolia | 10.66 | 7764 | 9.06 | 9556 | |
| 35 | Giuliana Ferreira | 2023FERR05 | Peru | 10.70 | 7906 | 8.53 | 7119 | |
| 36 | Ledger Ramirez | 2022RAMI15 | United States | 10.92 | 8774 | 8.44 | 6753 | |
| 37 | Umit Omural | 2021OMUR01 | United States | 11.08 | 9475 | 9.77 | 13352 | |
| 38 | Fred Weiying Zhang | 2024ZHAN65 | Canada | 11.47 | 11278 | 10.04 | 14930 | |
| 39 | Carl Sun | 2008SUNC01 | United States | 11.56 | 11715 | 9.03 | 9392 | |
| 40 | Nolan Ethridge | 2022ETHR01 | United States | 11.60 | 11892 | 9.01 | 9291 | |
| 41 | Brad Hoffman | 2016HOFF06 | United States | 11.75 | 12632 | 9.27 | 10601 | |
| 42 | Ian Fanning | 2022FANN01 | United States | 11.89 | 13342 | 8.92 | 8884 | |
| 43 | Anderson Hong | 2022HONG10 | United States | 11.91 | 13448 | 9.96 | 14453 | |
| 44 | Griffin Kim | 2023KIMG01 | United States | 11.91 | 13448 | 10.04 | 14930 | |
| 45 | Kayden Schreiber | 2022SCHR02 | United States | 12.17 | 14802 | 10.20 | 15954 | |
| 46 | Jundy Lacuata | 2017LACU02 | United States | 12.21 | 15032 | 10.82 | 20073 | |
| 47 | Raj Bhagat | 2023BHAG05 | United States | 12.47 | 16403 | 11.26 | 23139 | |
| 48 | Roberto Carcamo | 2020CARC01 | United States | 12.70 | 17663 | 9.96 | 14453 | |
| 49 | Joshua Wilburt | 2022WILB02 | United States | 12.85 | 18501 | 10.40 | 17263 | |
| 50 | Makai Guay | 2024GUAY01 | United States | 13.01 | 19441 | 11.12 | 22111 | |
| 51 | Pierce Tickle | 2022TICK01 | United States | 13.03 | 19553 | 11.09 | 21907 | |
| 52 | Collin Sayers | 2018SAYE01 | United States | 13.21 | 20691 | 10.85 | 20301 | |
| 53 | Anvesh Reddy Chinnapu | 2023CHIN15 | India | 13.29 | 21146 | 11.53 | 25201 | |
| 54 | Somil Varshney | 2022VARS04 | United States | 13.30 | 21230 | 10.05 | 14996 | |
| 55 | Aidan Royal Knepel | 2023KNEP01 | United States | 13.51 | 22498 | 11.93 | 28331 | |
| 56 | Benjamin McCollum | 2024MCCO08 | United States | 13.56 | 22799 | 10.08 | 15188 | |
| 57 | Joshua Luke Harris | 2020HARR03 | United States | 13.60 | 23063 | 11.04 | 21567 | |
| 58 | Mohan Sehgal | 2023SEHG01 | United States | 13.89 | 24902 | 11.97 | 28641 | |
| 59 | Anirudh Sridhar | 2023SRID02 | United States | 13.91 | 25048 | 11.29 | 23364 | |
| 60 | Muhammad Saad Sanoor | 2023SANO02 | India | 13.99 | 25561 | 11.18 | 22576 | |
| 61 | Leland Pak | 2023PAKL02 | United States | 14.64 | 29733 | 10.18 | 15829 | |
| 62 | Caleb Jacobson | 2023JACO16 | United States | 14.70 | 30174 | 11.69 | 26428 | |
| 63 | Paulo Korowajczuk Nader | 2022NADE05 | Brazil | 14.82 | 30985 | 12.53 | 33080 | |
| 64 | Jayden Choi | 2024CHOI17 | United States | 15.02 | 32309 | 14.56 | 49340 | |
| 65 | Jacob Walker | 2022WALK16 | United States | 15.42 | 35007 | 12.10 | 29638 | |
| 66 | Jeffrey Choi | 2024CHOI18 | United States | 15.66 | 36612 | 14.48 | 48688 | |
| 67 | Rich Tayag | 2019TAYA01 | United States | 15.93 | 38417 | 12.39 | 31913 | |
| 68 | Dylan Gillespie | 2017GILL02 | United States | 16.11 | 39614 | 12.34 | 31491 | |
| 69 | Tyler Wensky | 2023WENS01 | United States | 16.55 | 42570 | 13.25 | 38830 | |
| 70 | Emmet Guertin | 2022GUER04 | United States | 16.59 | 42851 | 12.60 | 33640 | |
| 71 | Jehyun Hong | 2024HONG01 | United States | 16.65 | 43270 | 13.43 | 40298 | |
| 72 | Soham Kurdekar | 2023KURD01 | United States | 16.84 | 44473 | 12.00 | 28889 | |
| 73 | Daniel Miller | 2022MILL11 | United States | 16.85 | 44530 | 14.63 | 49848 | |
| 74 | Ayush Garg | 2023GARG06 | India | 17.11 | 46347 | 15.59 | 57315 | |
| 75 | Shashwat Sharma | 2022SHAR45 | United States | 17.34 | 47910 | 14.42 | 48205 | |
| 76 | Kostas Skublickas | 2024SKUB01 | United States | 17.85 | 51253 | 14.05 | 45216 | |
| 77 | Silas Keith Lopez | 2024LOPE38 | United States | 17.87 | 51381 | 16.78 | 66225 | |
| 78 | Lukas Tetteh | 2024TETT01 | United States | 18.30 | 54135 | 16.37 | 63235 | |
| 79 | Santiago Cangahuala | 2023CANG01 | United States | 18.66 | 56407 | 15.60 | 57403 | |
| 80 | Matthew Wang | 2023WANG30 | United States | 18.69 | 56577 | 15.75 | 58549 | |
| 81 | Jay T. Patel | 2023PATE23 | United States | 19.21 | 59845 | 15.84 | 59201 | |
| 82 | Leon Kim | 2024KIML03 | United States | 21.16 | 71607 | 19.19 | 83071 | |
| 83 | Benjamin Romanow | 2022ROMA04 | United States | 22.09 | 76885 | 17.30 | 70005 | |
| 84 | Neel Nilesh Bhatt | 2024BHAT04 | Mozambique | 22.10 | 76943 | 19.77 | 86832 | |
| 85 | Geeoh Park | 2024PARK34 | Republic of Korea | 22.25 | 77852 | 18.27 | 76826 | |
| 86 | Alex Chiu | 2024CHIU02 | United States | 24.03 | 87748 | 19.04 | 82098 | |
| 87 | Holden Cressman | 2024CRES03 | United States | 24.98 | 92852 | 23.31 | 108603 | |
| 88 | Aedan Cave | 2023CAVE01 | United States | 25.26 | 94334 | 22.94 | 106515 | |
| 89 | Sam Meyer | 2024MEYE09 | United States | 26.43 | 100068 | 22.32 | 103072 | |
| 90 | Adam Miller | 2022MILL10 | United States | 29.54 | 114344 | 23.83 | 111521 | |
| 91 | Dennis Palaganas | 2024PALA02 | United States | 31.32 | 121719 | 26.08 | 123033 | |
| 92 | Makayla Robinson | 2023ROBI06 | United States | 33.05 | 128487 | 26.23 | 123793 | |
| 93 | Julia Korowajczuk Nader | 2023NADE01 | Brazil | 35.65 | 137741 | 31.42 | 146102 | |
| 94 | Everett Minder | 2023MIND02 | United States | 35.94 | 138766 | 29.25 | 137525 | |
| 95 | Emily Manwaring | 2022MANW01 | United States | 36.15 | 139445 | 30.62 | 143005 | |
| 96 | Ilan Miller | 2022MILL19 | United States | 39.72 | 150543 | 32.68 | 150882 | |
| 97 | Michael Greigg | 2015GREI02 | United States | 40.16 | 151753 | 35.23 | 159671 | |
| 98 | Max Bonnet | 2023BONN05 | United States | 42.29 | 157645 | 36.08 | 162418 | |
| 99 | Silas Rhoads | 2024RHOA01 | United States | 50.02 | 175594 | 43.29 | 181774 | |
| 100 | Ananya Sridhar | 2024SRID02 | United States | 54.30 | 183408 | 49.73 | 194148 | |
| 101 | Sarah Kim | 2023KIMS02 | United States | 1:07.32 | 199430 | 55.74 | 202659 | |
| 102 | Charles Kimmett | 2024KIMM04 | United States | 1:08.17 | 200222 | 1:04.78 | 211300 | |
| 103 | Maanya Madanagopal | 2023MADA07 | United States | 1:08.79 | 200748 | 58.63 | 205809 | |
| 104 | Elana Nightingale Dawson | 2024DAWS04 | United States | 1:32.89 | 214205 | 1:24.68 | 220935 | |
| 105 | Gary Miller | 2023MILL57 | United States | 2:44.41 | 221378 | 2:28.70 | 226443 | |
| Alex Linsangan | United States | |||||||
| Angelo Pinillos-Sternberg | United States | |||||||
| Benjamin Bian Toso Araujo | Brazil | |||||||
| Brandon Chao | United States | |||||||
| Caden Oxenrider | 2023OXEN01 | United States | ||||||
| Eleanor Blum | United States | |||||||
| Ethan Geyer | United States | |||||||
| Eviatar Fleischman Alaluf | Israel | |||||||
| Francisco Pinillos | United States | |||||||
| Kameron Philippe-Auguste | United States | |||||||
| Krithik Varaganti | United States | |||||||
| Laura Lopez | United States | |||||||
| Logan Bert | United States | |||||||
| Matthew Sun | United States | |||||||
| Medhansh V. Pappula | United States | |||||||
| Nardia Din | United States | |||||||
| Ryan Kaylan | United States |