Yanghong Wu (伍洋弘)
Current Personal Records
| Event | NR | CR | WR | Single | Average | WR | CR | NR | Gold | Silver | Bronze | Solves/Attempts |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3x3x3 Cube | 5639 | 16349 | 44057 | 12.91 | 15.09 | 40169 | 15173 | 5304 | 30/30 | |||
| 2x2x2 Cube | 3625 | 11816 | 41850 | 3.83 | 5.31 | 33553 | 9993 | 3206 | 15/15 | |||
| 4x4x4 Cube | 3747 | 11119 | 33939 | 1:06.82 | 1:17.37 | 33407 | 10678 | 3446 | 5/5 | |||
| 3x3x3 One-Handed | 2956 | 8671 | 23398 | 25.05 | 2/2 | |||||||
| Clock | 332 | 1215 | 5177 | 8.68 | 10.55 | 5207 | 1192 | 342 | 4/5 | |||
| Pyraminx | 5100 | 16686 | 63220 | 9.95 | 13.32 | 55674 | 15106 | 4802 | 20/20 | |||
| Skewb | 1446 | 4420 | 17238 | 5.98 | 8.90 | 15450 | 4243 | 1453 | 18/20 |
Sum of Ranks
| Sum of NR | NR | Sum of CR | CR | Sum of WR | WR | |
|---|---|---|---|---|---|---|
| Single | 33096 | 2670 | 107400 | 7660 | 380834 | 26023 |
| Average | 30303 | 3038 | 98151 | 8742 | 328502 | 27434 |
| 3x3x3 Cube | |||||
| Competition | Round | Place | Best | Average | Detail |
|---|---|---|---|---|---|
| NAC 2022 | First round | 308 | 13.45 | 15.63 | 15.80 16.22 19.39 14.87 13.45 |
| Guangzhou Panyu Afternoon 2021 | Second round | 69 | 13.23 | 15.09 | 13.78 15.94 13.23 16.27 15.55 |
| First round | 75 | 14.67 | 15.82 | 14.67 14.91 15.77 16.79 17.72 | |
| Guangzhou Good Afternoon 2020 | First round | 41 | 13.82 | 15.73 | 16.19 18.41 13.82 15.68 15.33 |
| Shenzhen Good Afternoon 2020 | First round | 30 | 12.91 | 15.67 | 15.54 12.91 16.19 15.28 16.60 |
| Jieyang Winter 2020 | First round | 73 | 18.24 | 20.51 | 21.52 19.62 18.24 20.40 24.83 |
| 2x2x2 Cube | |||||
| Competition | Round | Place | Best | Average | Detail |
| NAC 2022 | First round | 279 | 4.87 | 7.21 | 13.26 9.14 4.90 4.87 7.59 |
| Shenzhen Good Afternoon 2020 | First round | 18 | 4.95 | 6.64 | 4.95 8.18 6.07 8.99 5.67 |
| Jieyang Winter 2020 | First round | 31 | 3.83 | 5.31 | 3.83 5.12 8.44 5.76 5.05 |
| 4x4x4 Cube | |||||
| Competition | Round | Place | Best | Average | Detail |
| BignBlind Guangzhou 2019 | First round | 58 | 1:06.82 | 1:17.37 | 1:19.03 1:29.70 1:19.90 1:06.82 1:13.18 |
| 3x3x3 One-Handed | |||||
| Competition | Round | Place | Best | Average | Detail |
| Guangzhou Panyu Afternoon 2021 | First round | 44 | 25.05 | 25.05 29.13 | |
| Clock | |||||
| Competition | Round | Place | Best | Average | Detail |
| Guangzhou Good Afternoon 2020 | Final | 11 | 8.68 | 10.55 | 12.08 DNF 10.05 8.68 9.52 |
| Pyraminx | |||||
| Competition | Round | Place | Best | Average | Detail |
| NAC 2022 | First round | 258 | 10.65 | 13.92 | 13.18 15.63 25.70 10.65 12.96 |
| Guangzhou Panyu Afternoon 2021 | First round | 58 | 12.83 | 13.32 | 13.16 12.83 13.61 13.18 15.18 |
| Shenzhen Good Afternoon 2020 | Final | 15 | 11.35 | 18.59 | 17.95 11.35 22.90 14.93 35.14 |
| Jieyang Winter 2020 | First round | 27 | 9.95 | 13.96 | 14.36 9.95 16.68 12.17 15.36 |
| Skewb | |||||
| Competition | Round | Place | Best | Average | Detail |
| NAC 2022 | First round | 205 | 11.18 | 12.93 | 11.47 12.11 11.18 16.15 15.22 |
| Guangzhou Panyu Afternoon 2021 | First round | 44 | 6.82 | 10.38 | 6.82 11.83 7.76 11.71 11.66 |
| Shenzhen Good Afternoon 2020 | Final | 9 | 5.98 | 8.90 | 9.04 6.30 5.98 11.36 DNF |
| Jieyang Winter 2020 | First round | 22 | 11.80 | 15.22 | 14.81 11.80 DNF 16.03 14.82 |
| NAC 2022 | |||||
| Event | Round | Place | Best | Average | Detail |
|---|---|---|---|---|---|
| 3x3x3 Cube | First round | 308 | 13.45 | 15.63 | 15.80 16.22 19.39 14.87 13.45 |
| 2x2x2 Cube | First round | 279 | 4.87 | 7.21 | 13.26 9.14 4.90 4.87 7.59 |
| Pyraminx | First round | 258 | 10.65 | 13.92 | 13.18 15.63 25.70 10.65 12.96 |
| Skewb | First round | 205 | 11.18 | 12.93 | 11.47 12.11 11.18 16.15 15.22 |
| Guangzhou Panyu Afternoon 2021 | |||||
| Event | Round | Place | Best | Average | Detail |
| 3x3x3 Cube | Second round | 69 | 13.23 | 15.09 | 13.78 15.94 13.23 16.27 15.55 |
| First round | 75 | 14.67 | 15.82 | 14.67 14.91 15.77 16.79 17.72 | |
| 3x3x3 One-Handed | First round | 44 | 25.05 | 25.05 29.13 | |
| Pyraminx | First round | 58 | 12.83 | 13.32 | 13.16 12.83 13.61 13.18 15.18 |
| Skewb | First round | 44 | 6.82 | 10.38 | 6.82 11.83 7.76 11.71 11.66 |
| Guangzhou Good Afternoon 2020 | |||||
| Event | Round | Place | Best | Average | Detail |
| 3x3x3 Cube | First round | 41 | 13.82 | 15.73 | 16.19 18.41 13.82 15.68 15.33 |
| Clock | Final | 11 | 8.68 | 10.55 | 12.08 DNF 10.05 8.68 9.52 |
| Shenzhen Good Afternoon 2020 | |||||
| Event | Round | Place | Best | Average | Detail |
| 3x3x3 Cube | First round | 30 | 12.91 | 15.67 | 15.54 12.91 16.19 15.28 16.60 |
| 2x2x2 Cube | First round | 18 | 4.95 | 6.64 | 4.95 8.18 6.07 8.99 5.67 |
| Pyraminx | Final | 15 | 11.35 | 18.59 | 17.95 11.35 22.90 14.93 35.14 |
| Skewb | Final | 9 | 5.98 | 8.90 | 9.04 6.30 5.98 11.36 DNF |
| Jieyang Winter 2020 | |||||
| Event | Round | Place | Best | Average | Detail |
| 3x3x3 Cube | First round | 73 | 18.24 | 20.51 | 21.52 19.62 18.24 20.40 24.83 |
| 2x2x2 Cube | First round | 31 | 3.83 | 5.31 | 3.83 5.12 8.44 5.76 5.05 |
| Pyraminx | First round | 27 | 9.95 | 13.96 | 14.36 9.95 16.68 12.17 15.36 |
| Skewb | First round | 22 | 11.80 | 15.22 | 14.81 11.80 DNF 16.03 14.82 |
| BignBlind Guangzhou 2019 | |||||
| Event | Round | Place | Best | Average | Detail |
| 4x4x4 Cube | First round | 58 | 1:06.82 | 1:17.37 | 1:19.03 1:29.70 1:19.90 1:06.82 1:13.18 |
| No. | Date | Name | Region | City |
|---|---|---|---|---|
| 6 | 2022-07-07~10 | NAC 2022 | Canada | Toronto, Ontario |
| 5 | 2021-02-28 | Guangzhou Panyu Afternoon 2021 | China | Guangzhou, Guangdong |
| 4 | 2020-12-13 | Guangzhou Good Afternoon 2020 | China | Guangzhou, Guangdong |
| 3 | 2020-11-15 | Shenzhen Good Afternoon 2020 | China | Shenzhen, Guangdong |
| 2 | 2020-01-19 | Jieyang Winter 2020 | China | Jieyang, Guangdong |
| 1 | 2019-12-08 | BignBlind Guangzhou 2019 | China | Guangzhou, Guangdong |
Closest Cubers
Seen Cubers
| Times | Competitors |
|---|---|
| 1 | 743 |
| 2 | 50 |
| 3 | 14 |
| 4 | 6 |
| 5 | 2 |
| All | 815 |
Visited Provinces
| Times | Province |
|---|---|
| 5 | Guangdong |

