Penn Cube Day Fall 2024
3x3x3 Cube Psych Sheet
Sorted by: average, sort by single
# | Name | WCA ID | Representing | Average | WR | Single | WR | |
---|---|---|---|---|---|---|---|---|
1 | Carson Widjaja | 2018WIDJ01 | United States | 6.08 | 75 | 4.05 | 21 | |
2 | Shaun Mack | 2018MACK04 | United States | 6.26 | 103 | 4.67 | 98 | |
3 | Zayn Khanani | 2018KHAN28 | United States | 6.69 | 199 | 4.71 | 107 | |
4 | Darren Saito | 2018SAIT06 | United States | 6.95 | 304 | 5.56 | 428 | |
5 | Dana Yi | 2010YIDA01 | United States | 7.23 | 435 | 4.98 | 184 | |
6 | Liam Chen | 2014CHEN37 | United States | 7.28 | 465 | 6.18 | 1009 | |
7 | Will Callan | 2012CALL01 | United States | 7.29 | 470 | 5.82 | 649 | |
8 | Hassan Khanani | 2018KHAN26 | United States | 7.57 | 707 | 5.93 | 745 | |
9 | Christian Girardy | 2018GIRA08 | United States | 7.98 | 1122 | 6.38 | 1296 | |
10 | Daniel Greigg | 2015GREI01 | United States | 8.00 | 1145 | 6.24 | 1096 | |
11 | Samuel Garrett | 2019GARR04 | United States | 8.01 | 1155 | 6.41 | 1353 | |
12 | Max Chan | 2015CHAN37 | United States | 8.15 | 1312 | 6.73 | 1907 | |
13 | Benjamin Wiginton | 2022WIGI01 | United States | 8.35 | 1614 | 6.53 | 1563 | |
14 | Jay Pharma | 2022PHAR01 | United States | 8.38 | 1660 | 7.27 | 3049 | |
15 | Giuseppe Amato | 2019AMAT02 | United States | 8.42 | 1719 | 7.31 | 3158 | |
16 | Ishan Donavalli | 2022DONA04 | United States | 9.29 | 3605 | 7.87 | 4904 | |
17 | Jason Zheng | 2018ZHEN08 | United States | 9.43 | 4008 | 7.78 | 4571 | |
18 | Elvin Xu | 2019XUEL02 | United States | 9.44 | 4039 | 7.69 | 4265 | |
19 | Parth Garg | 2014GARG01 | United States | 9.46 | 4083 | 7.66 | 4178 | |
20 | Andrew Tao | 2022TAOA01 | United States | 9.61 | 4481 | 8.13 | 5859 | |
21 | Peter Didden | 2022DIDD01 | United States | 9.87 | 5309 | 7.56 | 3856 | |
22 | Vihaan Cherukuri | 2021CHER06 | United States | 10.09 | 6060 | 7.86 | 4870 | |
23 | Warren Morris | 2020MORR01 | United States | 10.14 | 6238 | 9.13 | 10424 | |
24 | Yuyang Zhen (甄禹扬) | 2013ZHEN11 | China | 10.36 | 7059 | 7.82 | 4705 | |
25 | Anurag Anapindi | 2022ANAP01 | United States | 10.41 | 7250 | 8.70 | 8308 | |
26 | Ledger Ramirez | 2022RAMI15 | United States | 10.78 | 8704 | 8.44 | 7135 | |
27 | Fred Weiying Zhang | 2024ZHAN65 | Canada | 11.03 | 9782 | 9.67 | 13510 | |
28 | Kevin Liu | 2023LIUK02 | United States | 11.15 | 10362 | 8.88 | 9175 | |
29 | Zeyu Ma (马泽余) | 2018MAZE01 | China | 11.22 | 10691 | 9.35 | 11589 | |
30 | Tina Xiangyan Jin (金香延) | 2015JINX01 | China | 11.37 | 11411 | 9.54 | 12712 | |
31 | Zachary Van De Water | 2023WATE02 | United States | 11.42 | 11665 | 7.55 | 3823 | |
32 | Ernie Pulchny | 2010PULC01 | United States | 11.72 | 13172 | 8.53 | 7514 | |
33 | Nathaniel Lao | 2019LAON01 | United States | 11.74 | 13261 | 9.32 | 11417 | |
34 | Elayne Zhang | 2023ZHAN28 | United States | 12.07 | 15001 | 10.23 | 16960 | |
35 | Adam McLaughlin | 2023MCLA02 | United States | 13.20 | 21545 | 9.92 | 14943 | |
36 | Isaac Wiginton | 2022WIGI02 | United States | 13.27 | 21946 | 8.72 | 8400 | |
37 | Ekansh Agrawal | 2022AGRA04 | United States | 13.83 | 25562 | 10.89 | 21453 | |
38 | Addison Vincelli | 2023VINC03 | United States | 13.93 | 26232 | 11.27 | 24232 | |
39 | Yehuda Weinmartin | 2022WEIN06 | United States | 14.23 | 28156 | 12.27 | 32163 | |
40 | Kyle A. Taylor | 2017TAYL11 | United States | 14.65 | 31003 | 11.36 | 24899 | |
41 | Currin Wilson | 2018WILS11 | United States | 14.85 | 32375 | 10.67 | 19909 | |
42 | Silas Keith Lopez | 2024LOPE38 | United States | 14.90 | 32728 | 13.15 | 39433 | |
43 | Emmet Guertin | 2022GUER04 | United States | 16.59 | 44365 | 12.60 | 34937 | |
44 | Elijah Barkan | 2023BARK05 | United States | 16.68 | 44977 | 14.94 | 54000 | |
45 | Asher Anand | 2022ANAN15 | India | 17.56 | 51012 | 14.95 | 54072 | |
46 | Oskar Pfitsch Kawinski | 2024KAWI01 | United States | 19.86 | 65747 | 17.11 | 70634 | |
47 | Siyuan Liu (刘思源) | 2019LIUS15 | China | 20.68 | 70783 | 16.87 | 68857 | |
48 | Ethan Zhang | 2022ZHAN43 | United States | 21.75 | 77188 | 18.68 | 82122 | |
49 | Andrew Schreiber | 2024SCHR13 | United States | 23.18 | 85470 | 19.95 | 90572 | |
50 | Jared Sofair | 2022SOFA01 | United States | 23.57 | 87672 | 19.02 | 84375 | |
51 | Jacob Snyder | 2024SNYD01 | United States | 24.16 | 90937 | 17.12 | 70717 | |
52 | Roman Sposato | 2024SPOS01 | United States | 30.49 | 121404 | 24.98 | 120698 | |
53 | Eitan Berman | 2024BERM07 | United States | 31.68 | 126401 | 23.44 | 112304 | |
54 | Dylan Mauro | 2024MAUR08 | United States | 37.91 | 148775 | 33.29 | 156990 | |
55 | Tyler Vincelli | 2023VINC04 | United States | 42.25 | 161526 | 33.28 | 156954 | |
56 | Lucas Fegarsky | 2023FEGA01 | United States | 55.15 | 189357 | 50.51 | 200139 | |
57 | Laura Lopez | 2024LOPE64 | United States | 1:02.14 | 199008 | 52.64 | 203362 | |
Benjamin Meytin | United States | |||||||
Darius Williams | United States | |||||||
Franklin Joseph Ostroski | United States | |||||||
Jerry Huang | United States | |||||||
Nihar Ballamudi | United States | |||||||
Richard Li | United States | |||||||
Thomas John Ostroski | United States | |||||||
Tony Mason | United States | |||||||
Yinjie Wang (王胤杰) | China | |||||||
Yuhao Chen (陈宇豪) | China |