Victor Tang Yao Jun (湯曜駿)
Compétition(s) : 12
Pays visité(s) : 3 - voir la carte
Dernières compétitions : Big 'n Blind Guangzhou 2019 (2019-12-08) Hong Kong Cube Day 2019 (2019-01-26) Big 'n Blind Guangzhou 2018 (2018-12-09)
Records Personnel
| Épreuve | Single | Rank HK | Rank W | Moyenne | Rank HK | Rank W |
|---|
| 333 | 10.60 | 190 | 23074 | 11.84 | 155 | 16606 |
| 222 | 1.93 | 51 | 6957 | 2.88 | 25 | 3377 |
| 444 | 39.28 | 68 | 8197 | 45.78 | 75 | 8579 |
| 555 | 1:06.81 | 33 | 3210 | 1:17.65 | 37 | 3899 |
| 666 | 2:38.41 | 46 | 4411 | 2:43.74 | 42 | 3933 |
| 777 | 3:33.51 | 25 | 2461 | 4:02.02 | 29 | 3109 |
| 333bf | 38.15 | 6 | 646 | 44.45 | 5 | 436 |
| 333fm | 38 | 43 | 4577 | 44 | 34 | 3585 |
| 333oh | 16.50 | 52 | 7445 | 19.68 | 43 | 6372 |
| clock | 21.72 | 115 | 18990 | | | |
| minx | 1:14.52 | 42 | 5604 | 1:21.52 | 40 | 5138 |
| pyram | 6.91 | 152 | 31951 | 8.28 | 93 | 17629 |
| skewb | 5.60 | 82 | 15016 | 6.89 | 48 | 8069 |
| sq1 | 15.07 | 32 | 3733 | 18.74 | 29 | 2974 |
| 444bf | 2:47.47 | 3 | 128 | | | |
| 555bf | 5:38.42 | 2 | 60 | | | |
| 333mbf | 6/6 0:17:55 | 7 | 1114 | | | |
Cubing Contests 
| Épreuve | Single | Rank W | Moyenne | Rank W |
|---|
| 6x6x6 Blindfolded | 9:39.33 | 6 | | |
| 7x7x7 Blindfolded | 43:59.90 | 22 | | |
Records battus
| Épreuve | Single | Moyenne |
|---|
| WR | CR | NR | WR | CR | NR |
|---|
| 333bf | | | 3 | | | 3 |
|
| 444bf | | | 3 | | | |
|
| 555bf | | | 3 | | | |
|
| 333mbf | | | 3 | | | |
|
Médailles obtenues
| Épreuve | Or | Argent | Bronze |
|---|
| 222 | | | 1 |
|
| 333bf | 3 | 1 | 1 |
|
| 444bf | 1 | 2 | |
|
| 555bf | 2 | 1 | |
|
Évolution par épreuve
Meilleur et plus mauvais single d'une compétion et la meilleure moyenne des tours.
333
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2015-08-22 | 14.06 | 19.22 | 15.09 | 1406 | 1922 | 1509 |
| 2017-08-26 | 12.95 | 19.36 | 14.79 | 1295 | 1936 | 1479 |
| 2019-01-26 | 10.60 | 13.78 | 11.84 | 1060 | 1378 | 1184 |
222
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2015-08-22 | 2.46 | 6.50 | 4.80 | 246 | 650 | 480 |
| 2017-08-26 | 3.45 | 6.09 | 4.94 | 345 | 609 | 494 |
| 2019-01-26 | 1.93 | 8.38 | 2.88 | 193 | 838 | 288 |
444
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2015-08-22 | 1:01.77 | 1:20.19 | | 6177 | 8019 | |
| 2016-12-11 | 46.74 | 1:07.39 | 1:00.17 | 4674 | 6739 | 6017 |
| 2017-08-26 | 47.23 | 58.80 | 51.33 | 4723 | 5880 | 5133 |
| 2017-12-10 | 43.50 | 54.38 | 52.38 | 4350 | 5438 | 5238 |
| 2018-12-09 | 39.28 | 49.61 | 46.87 | 3928 | 4961 | 4687 |
| 2019-01-26 | 44.21 | 49.07 | 45.78 | 4421 | 4907 | 4578 |
555
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2015-08-22 | 1:44.22 | 1:58.55 | 1:49.84 | 10422 | 11855 | 10984 |
| 2016-12-11 | 1:17.77 | 1:32.74 | 1:26.96 | 7777 | 9274 | 8696 |
| 2017-12-10 | 1:26.01 | 1:47.08 | 1:32.46 | 8601 | 10708 | 9246 |
| 2018-12-09 | 1:06.81 | 1:25.25 | 1:19.75 | 6681 | 8525 | 7975 |
| 2019-12-08 | 1:15.49 | 1:20.01 | 1:17.65 | 7549 | 8001 | 7765 |
666
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-11 | 2:41.00 | 3:04.11 | 2:51.49 | 16100 | 18411 | 17149 |
| 2017-12-10 | 2:38.41 | 2:51.54 | 2:43.74 | 15841 | 17154 | 16374 |
777
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-11 | 4:33.99 | 4:40.26 | 4:37.86 | 27399 | 28026 | 27786 |
| 2017-06-03 | 3:53.27 | 4:47.18 | 4:17.91 | 23327 | 28718 | 25791 |
| 2017-12-10 | 3:33.51 | 4:33.61 | 4:02.02 | 21351 | 27361 | 24202 |
333bf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2015-08-22 | 2:52.00 | 2:52.93 | | 17200 | 17293 | |
| 2016-12-11 | 55.07 | 1:11.93 | | 5507 | 7193 | |
| 2017-02-25 | 39.11 | 47.94 | | 3911 | 4794 | |
| 2017-06-03 | 50.23 | 53.09 | 52.05 | 5023 | 5309 | 5205 |
| 2017-08-26 | 44.16 | 44.16 | | 4416 | 4416 | |
| 2017-12-10 | 40.46 | 52.85 | 47.67 | 4046 | 5285 | 4767 |
| 2018-12-09 | 39.14 | 57.23 | | 3914 | 5723 | |
| 2019-01-26 | 55.44 | 55.44 | | 5544 | 5544 | |
| 2019-12-08 | 38.15 | 50.63 | 44.45 | 3815 | 5063 | 4445 |
333fm
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2015-11-28 | 43 | 53 | | 43 | 53 | |
| 2016-12-10 | 41 | 50 | 44 | 41 | 50 | 4400 |
| 2018-12-08 | 38 | 38 | | 38 | 38 | |
333oh
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-02-25 | 19.51 | 36.48 | 22.77 | 1951 | 3648 | 2277 |
| 2017-06-03 | 17.84 | 27.40 | 21.37 | 1784 | 2740 | 2137 |
| 2019-01-26 | 16.50 | 31.41 | 19.68 | 1650 | 3141 | 1968 |
clock
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-01-26 | 21.72 | 24.59 | | 2172 | 2459 | |
minx
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-02-25 | 1:14.52 | 1:26.09 | 1:21.52 | 7452 | 8609 | 8152 |
pyram
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-06-03 | 6.91 | 9.89 | 8.28 | 691 | 989 | 828 |
skewb
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-01-26 | 5.60 | 11.46 | 6.89 | 560 | 1146 | 689 |
sq1
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-02-25 | 21.89 | 33.49 | 27.48 | 2189 | 3349 | 2748 |
| 2017-06-03 | 17.54 | 32.28 | 23.10 | 1754 | 3228 | 2310 |
| 2017-08-26 | 15.07 | 24.87 | 18.74 | 1507 | 2487 | 1874 |
444bf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-11 | 5:48.34 | 5:48.34 | | 34834 | 34834 | |
| 2017-12-10 | 3:09.70 | 3:09.70 | | 18970 | 18970 | |
| 2018-12-09 | 2:47.47 | 3:20.98 | | 16747 | 20098 | |
| 2019-12-08 | 3:11.60 | 6:39.84 | | 19160 | 39984 | |
555bf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-11 | | | | | | |
| 2017-12-10 | 8:21.44 | 8:21.44 | | 50144 | 50144 | |
| 2018-12-09 | 7:06.64 | 7:06.64 | | 42664 | 42664 | |
| 2019-12-08 | 5:38.42 | 6:45.68 | | 33842 | 40568 | |
333mbf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-11 | 6/8 0:28:55 | 5/8 0:29:42 | | 950173502 | 970178203 | |
| 2017-12-10 | 4/4 0:07:06 | 4/4 0:07:06 | | 950042600 | 950042600 | |
| 2018-12-09 | 6/6 0:17:55 | 4/6 0:11:39 | | 930107500 | 970069902 | |
| 2019-12-08 | 5/7 0:19:31 | 5/7 0:19:31 | | 960117102 | 960117102 | |
Globe-Trotter
