CubingUSA Western Championship 2024
Square-1 Psych Sheet
Sorted by: average, sort by single
| # | Name | WCA ID | Representing | Average | WR | Single | WR | |
|---|---|---|---|---|---|---|---|---|
| 1 | Max Siauw | 2017SIAU02 | United States | 4.91 | 1 | 3.69 | 2 | |
| 2 | Calvin Nielson | 2014NIEL03 | United States | 6.67 | 22 | 4.67 | 25 | |
| 3 | Christopher Chi | 2014CHIC01 | United States | 7.16 | 44 | 5.19 | 42 | |
| 4 | Kyeongmin Choi | 2017CHOI07 | Republic of Korea | 7.68 | 75 | 5.36 | 52 | |
| 5 | Ivan Vanek | 2015VANE01 | United States | 8.26 | 104 | 4.50 | 19 | |
| 6 | Nico Harper (李有為) | 2016HARP02 | United States | 8.32 | 108 | 6.67 | 181 | |
| 7 | Joaquin Ruenes Hernández | 2017HERN11 | Mexico | 8.80 | 148 | 7.30 | 307 | |
| 8 | Ethan Yeh | 2020YEHE01 | United States | 8.87 | 155 | 5.82 | 86 | |
| 9 | Krish Shah-Nathwani | 2015SHAH09 | United States | 9.00 | 166 | 6.51 | 158 | |
| 10 | Nolan Yiu | 2016YIUN01 | United States | 9.14 | 185 | 5.63 | 71 | |
| 11 | Tim Xie | 2015XIET01 | New Zealand | 9.56 | 231 | 6.30 | 134 | |
| 12 | Alex Bohac | 2018BOHA01 | United States | 10.01 | 305 | 7.30 | 307 | |
| 13 | Jack Stewart | 2017STEW08 | United States | 10.48 | 376 | 6.62 | 176 | |
| 14 | Michael Larsen | 2017LARS03 | United States | 10.84 | 436 | 7.85 | 429 | |
| 15 | Dan Tran | 2015TRAN07 | United States | 11.24 | 517 | 8.98 | 727 | |
| 16 | Paul Mahvi | 2012MAHV01 | United States | 11.51 | 562 | 7.98 | 465 | |
| 17 | Vishwa Sankar | 2017SANK04 | United States | 11.69 | 580 | 9.05 | 742 | |
| 18 | Vinicius Shaw | 2021SHAW02 | Brazil | 11.93 | 638 | 8.88 | 704 | |
| 19 | Trevor Mendelson | 2022MEND14 | United States | 13.23 | 903 | 12.12 | 1731 | |
| 20 | Elijah Brown | 2015BROW03 | United States | 13.45 | 961 | 8.55 | 604 | |
| 21 | Andrew French | 2019FREN01 | United States | 13.51 | 974 | 9.37 | 829 | |
| 22 | Derrick Hung | 2022HUNG13 | United States | 14.07 | 1105 | 11.07 | 1367 | |
| 23 | Mason Langenderfer | 2013LANG03 | United States | 14.13 | 1117 | 9.64 | 918 | |
| 24 | Michael Muething | 2019MUET01 | United States | 14.29 | 1161 | 9.58 | 901 | |
| 25 | Jason Ostdiek | 2017OSTD02 | United States | 14.52 | 1209 | 11.65 | 1564 | |
| 26 | Miles Greco | 2022GREC01 | United States | 14.55 | 1218 | 11.05 | 1356 | |
| 27 | Graham Siggins | 2016SIGG01 | United States | 14.56 | 1223 | 9.38 | 838 | |
| 28 | Mitchell Lane | 2010LANE02 | United States | 14.83 | 1289 | 10.53 | 1192 | |
| 29 | Franklin Pham | 2020PHAM01 | United States | 14.84 | 1291 | 11.70 | 1579 | |
| 30 | Walter Lee Wilson | 2023WILS21 | United States | 14.87 | 1296 | 11.03 | 1347 | |
| 31 | Ian Yazid Zavala Lopez | 2023LOPE06 | Mexico | 15.34 | 1395 | 11.59 | 1543 | |
| 32 | Evan Millsap | 2022MILL05 | United States | 15.49 | 1438 | 10.75 | 1255 | |
| 33 | Sebastian Ekman | 2019EKMA01 | United States | 16.39 | 1677 | 11.83 | 1628 | |
| 34 | Caleb Kearney | 2018KEAR02 | United States | 16.41 | 1681 | 13.26 | 2144 | |
| 35 | Evan Ha | 2018HAEV01 | United States | 16.67 | 1757 | 12.73 | 1947 | |
| 36 | Preston Schwartz | 2019SCHW07 | United States | 17.59 | 2001 | 12.22 | 1762 | |
| 37 | Anthony Lauro | 2012LAUR02 | United States | 18.81 | 2333 | 14.85 | 2797 | |
| 38 | Jeremy Bulambot | 2022BULA01 | United States | 19.57 | 2575 | 12.19 | 1752 | |
| 39 | Lucas Aubin | 2019AUBI01 | United States | 19.68 | 2612 | 16.15 | 3331 | |
| 40 | Josiah Liao | 2021LIAO06 | United States | 19.82 | 2658 | 13.57 | 2266 | |
| 41 | Jordan Herman | 2016HERM07 | United States | 19.94 | 2711 | 16.16 | 3339 | |
| 42 | Jacob Nobili | 2019NOBI01 | United States | 19.97 | 2718 | 11.97 | 1686 | |
| 43 | Ruby Lu (卢红) | 2022LURU01 | United States | 20.06 | 2743 | 13.58 | 2270 | |
| 44 | Alexander Nagler | 2019NAGL01 | United States | 20.36 | 2835 | 19.71 | 4897 | |
| 45 | Jaidon Poraminthara Lin (เจเดิ้น ปรมินทร์ หลิน) | 2019LINJ04 | United States | 20.59 | 2894 | 12.66 | 1920 | |
| 46 | Ethan Mendelson | 2022MEND13 | United States | 20.92 | 2997 | 17.71 | 4017 | |
| 47 | Liv Coverdale | 2022COVE02 | United States | 21.31 | 3121 | 14.98 | 2859 | |
| 48 | Timothy Zhang (张学义) | 2022ZHAN52 | United States | 21.48 | 3174 | 15.82 | 3198 | |
| 49 | Daxton Westlake | 2018WEST07 | United States | 21.81 | 3287 | 12.15 | 1739 | |
| 50 | TJ Kelly | 2017KELL10 | United States | 21.85 | 3300 | 16.76 | 3609 | |
| 51 | Jake Thompson | 2021THOM09 | United States | 21.98 | 3340 | 18.15 | 4203 | |
| 52 | Varun Mohanraj | 2015MOHA10 | United States | 22.67 | 3561 | 16.14 | 3327 | |
| 53 | Zack Rubio | 2022RUBI10 | United States | 22.89 | 3633 | 14.75 | 2748 | |
| 54 | Kenji Gipson-Nahman | 2023GIPS01 | United States | 23.09 | 3692 | 16.48 | 3474 | |
| 55 | Joel Kim | 2021KIMJ03 | United States | 23.35 | 3777 | 19.33 | 4711 | |
| 56 | Ryan Fong | 2019FONG04 | United States | 24.02 | 3985 | 13.80 | 2355 | |
| 57 | Taj Bressert | 2023BRES01 | United States | 24.14 | 4024 | 14.65 | 2707 | |
| 58 | Shane Grogan | 2011GROG02 | United States | 24.77 | 4206 | 16.29 | 3390 | |
| 59 | Caden Pascual | 2019PASC06 | United States | 25.19 | 4338 | 22.98 | 6273 | |
| 60 | Nipun Das | 2017DASN01 | United States | 25.36 | 4393 | 17.16 | 3784 | |
| 61 | Kinkajou Oren | 2020OREN01 | United States | 26.06 | 4622 | 19.11 | 4607 | |
| 62 | Chris Hong | 2022HONG02 | United States | 26.31 | 4691 | 20.65 | 5270 | |
| 63 | Chris Martin | 2013MART03 | United States | 27.09 | 4958 | 20.23 | 5098 | |
| 64 | Aayush Manish Bathija | 2019BATH02 | United States | 27.41 | 5050 | 17.17 | 3788 | |
| 65 | Sree Dacharla | 2021DACH01 | India | 27.47 | 5065 | 19.56 | 4836 | |
| 66 | Abhimanyu Singhal (अभिमन्यु सिंघल) | 2013SING12 | United States | 28.34 | 5354 | 20.61 | 5253 | |
| 67 | Alex Lehman | 2015LEHM01 | United States | 29.11 | 5616 | 19.46 | 4779 | |
| 68 | Luke Meszar | 2016MESZ01 | United States | 29.19 | 5642 | 24.40 | 6873 | |
| 69 | August Barnard | 2022BARN21 | United States | 29.58 | 5756 | 19.67 | 4880 | |
| 70 | Draco Tong | 2020TONG02 | United States | 29.88 | 5858 | 23.88 | 6654 | |
| 71 | Marcus Kamen | 2015KAME02 | United States | 30.24 | 5970 | 22.73 | 6167 | |
| 72 | Taran Wadhera | 2020WADH01 | United States | 30.27 | 5983 | 22.07 | 5894 | |
| 73 | Emil Lazaryev | 2022LAZA11 | United States | 31.05 | 6237 | 24.28 | 6804 | |
| 74 | David Karalli (داود قراعلي) | 2020KARA01 | United States | 31.48 | 6371 | 24.84 | 7063 | |
| 75 | Julian Shinn | 2019SHIN16 | United States | 31.83 | 6469 | 26.27 | 7677 | |
| 76 | Albert Luthje | 2020LUTH01 | Denmark | 31.90 | 6488 | 28.38 | 8515 | |
| 77 | Nora Y. Kester | 2022KEST04 | United States | 32.43 | 6653 | 26.29 | 7688 | |
| 78 | Alexander Watson | 2017WATS04 | United States | 32.89 | 6797 | 25.34 | 7272 | |
| 79 | Emmett O'Leary-Liu | 2019OLEA02 | United States | 33.81 | 7115 | 32.56 | 10093 | |
| 80 | Terrence Cao | 2015CAOT01 | United States | 33.84 | 7130 | 23.06 | 6306 | |
| 81 | Spursh Deshpande (स्पर्श देशपांडे) | 2018DESH04 | United States | 33.95 | 7169 | 30.15 | 9156 | |
| 82 | David B. Militante | 2022MILI01 | United States | 34.64 | 7392 | 24.51 | 6931 | |
| 83 | Ryan Woytowitz | 2015WOYT01 | United States | 34.85 | 7460 | 23.73 | 6602 | |
| 84 | Matthias Braley | 2023BRAL01 | United States | 36.78 | 8060 | 21.30 | 5544 | |
| 85 | Michael Miloslavskiy | 2023MILO01 | United States | 37.22 | 8194 | 27.19 | 8038 | |
| 86 | Gavin Torreflores | 2019TORR16 | United States | 37.24 | 8201 | 28.22 | 8460 | |
| 87 | Matthew Dickman | 2013DICK01 | United States | 38.09 | 8452 | 22.75 | 6179 | |
| 88 | Jesús Armando Aguirre Ibarra | 2016IBAR07 | Mexico | 38.32 | 8521 | 28.42 | 8527 | |
| 89 | Dominic Shoji | 2023SHOJ01 | United States | 41.11 | 9290 | 28.25 | 8473 | |
| 90 | Rachel Castillo | 2022CAST47 | United States | 42.58 | 9656 | 31.20 | 9556 | |
| 91 | Hunter Wang | 2023WANG11 | United States | 42.72 | 9703 | 28.56 | 8573 | |
| 92 | Alex McIntosh | 2013MCIN01 | United States | 44.04 | 10038 | 37.33 | 11593 | |
| 93 | Michael Chai (柴天方) | 2016CHAI03 | United States | 47.54 | 10785 | 35.46 | 11066 | |
| 94 | Krish Banker | 2022BANK03 | United States | 49.60 | 11136 | 18.45 | 4341 | |
| 95 | Shiun Choi | 2016CHOI08 | United States | 54.41 | 11832 | 41.73 | 12685 | |
| 96 | Amahl Weinstein Agrawal | 2022AGRA05 | United States | 58.42 | 12296 | 36.18 | 11255 | |
| 97 | Roberto Icaza Kinloch | 2023KINL02 | Nicaragua | 58.76 | 12331 | 56.22 | 15437 | |
| 98 | Sebastian Hueso | 2022HUES01 | United States | 1:01.28 | 12570 | 42.61 | 12873 | |
| Anders Arnsten | 2022ARNS01 | United States | 45.52 | 13517 | ||||
| Karl Prodigalidad | 2023PROD01 | United States | 46.16 | 13644 | ||||
| Vismay Murthy | 2022MURT01 | United States | 48.89 | 14208 | ||||
| Jack McGinty | 2019MCGI04 | United States | 56.59 | 15496 | ||||
| Nitin Kumar | 2018KUMA01 | United States | 1:17.41 | 17691 | ||||
| Santino Signorile | 2022SIGN01 | United States | 1:31.66 | 18428 | ||||
| Theodore Groom Linehan | 2022LINE06 | United States | 1:33.89 | 18497 | ||||
| Boden Brierley | 2023BRIE01 | United States | 1:51.09 | 18886 | ||||
| Adrian Ramirez | 2024RAMI01 | United States | ||||||
| Carson Vincent | 2024VINC01 | United States | ||||||
| Daniel Weeks | 2023WEEK02 | United States | ||||||
| Daphne Blue Smith | 2021SMIT17 | United States | ||||||
| Gerald Dager | 2023DAGE01 | United States | ||||||
| Jason Chang (章維祐) | 2023CHAN15 | United States | ||||||
| Knox Gardinier | 2024GARD03 | United States | ||||||
| Luke Satko | 2023SATK01 | United States | ||||||
| Maria Schohl | 2023SCHO16 | United States | ||||||
| Max James Root | 2023ROOT02 | United States | ||||||
| Paxton Baisch | United States | |||||||
| Richard Anthony Parada | 2018PARA15 | United States | ||||||
| Roi Christian Kim | 2024KIMR03 | United States | ||||||
| Roy Byun | 2022BYUN03 | United States | ||||||
| Saralina Schohl | 2023SCHO17 | United States | ||||||
| Sherry Tao (陶心仪) | 2022TAOS01 | United States | ||||||
| Zak Couch | 2023COUC01 | United States |