Xiaoliang Zhu (朱校良)
Compétition(s) : 6
Pays visité(s) : 2 - voir la carte
Première compétition : NanjingSpring2017 (2017-04-30)
Dernières compétitions : Jasper Highlands 2022 (2022-05-07) Shenzhen Open 2018 (2018-07-21) Wuxi Try to Get a Mean 2018 (2018-07-14)
PR Streak : 6 (en cours)
Records Personnel
| Épreuve | Single | Rank CN | Rank W | Moyenne | Rank CN | Rank W |
|---|
| 333 | 11.94 | 5373 | 38858 | 14.12 | 5186 | 36197 |
| 222 | 7.20 | 10371 | 115660 | 8.71 | 9180 | 97816 |
| 444 | 50.97 | 2742 | 21683 | 53.53 | 2247 | 17142 |
| 555 | 1:32.77 | 1336 | 12066 | 1:43.88 | 1376 | 12323 |
| 666 | 3:14.64 | 926 | 8381 | 3:56.59 | 1014 | 9748 |
| 777 | 5:38.75 | 1027 | 8846 | 5:54.07 | 927 | 7912 |
| 333bf | 3:23.29 | 821 | 7186 | 4:34.12 | 330 | 3426 |
| 333fm | 39 | 515 | 5499 | 44 | 429 | 3987 |
| 333oh | 23.18 | 2844 | 21508 | 30.44 | 3307 | 24416 |
| clock | 12.58 | 903 | 12077 | 15.58 | 916 | 12225 |
| minx | 1:19.37 | 645 | 7398 | 1:27.79 | 620 | 7079 |
| pyram | 11.51 | 6489 | 82624 | 14.07 | 5593 | 65774 |
| skewb | 9.54 | 2905 | 38043 | 13.11 | 2770 | 33880 |
| sq1 | 21.03 | 516 | 7644 | 32.40 | 670 | 9212 |
| 444bf | 19:27.00 | 145 | 1931 | | | |
| 555bf | 41:26.00 | 93 | 1080 | | | |
| 333mbf | 2/3 0:24:19 | 240 | 3678 | | | |
| 333ft | 1:24.11 | 94 | 975 | 1:40.85 | 89 | 915 |
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 |
|---|
| 2017-04-30 | 16.22 | 22.63 | 17.46 | 1622 | 2263 | 1746 |
| 2017-09-16 | 14.61 | 21.17 | 17.43 | 1461 | 2117 | 1743 |
| 2018-06-09 | 12.47 | 21.13 | 14.12 | 1247 | 2113 | 1412 |
| 2018-07-21 | 11.94 | 17.27 | 14.28 | 1194 | 1727 | 1428 |
222
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-04-30 | 7.20 | 10.16 | 8.71 | 720 | 1016 | 871 |
444
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-09-16 | 1:04.47 | 1:16.45 | 1:10.24 | 6447 | 7645 | 7024 |
| 2018-06-09 | 50.97 | 56.02 | 53.53 | 5097 | 5602 | 5353 |
555
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2018-07-21 | 1:32.77 | 1:56.20 | 1:43.88 | 9277 | 11620 | 10388 |
666
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2018-07-14 | 3:14.64 | 4:42.11 | 3:56.59 | 19464 | 28211 | 23659 |
| 2018-07-21 | 3:38.98 | 3:38.98 | | 21898 | 21898 | |
777
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2018-07-14 | 5:39.47 | 6:12.14 | 5:54.07 | 33947 | 37214 | 35407 |
| 2018-07-21 | 5:38.75 | 5:38.75 | | 33875 | 33875 | |
333bf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2018-06-09 | 4:22.24 | 4:49.49 | 4:34.12 | 26224 | 28949 | 27412 |
| 2018-07-14 | 4:06.03 | 4:25.23 | | 24603 | 26523 | |
| 2018-07-21 | 3:23.29 | 3:23.29 | | 20329 | 20329 | |
333fm
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2018-06-09 | 41 | 58 | 48 | 41 | 58 | 48 |
| 2018-07-21 | 39 | 49 | 44 | 39 | 49 | 44 |
333oh
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-04-30 | 32.55 | 37.74 | | 3255 | 3774 | |
| 2017-09-16 | 24.42 | 39.02 | 32.23 | 2442 | 3902 | 3223 |
| 2018-06-09 | 23.18 | 50.71 | 30.44 | 2318 | 5071 | 3044 |
clock
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2018-07-21 | 12.58 | 18.55 | 15.58 | 1258 | 1855 | 1558 |
minx
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-09-16 | 1:19.37 | 1:34.15 | 1:27.79 | 7937 | 9415 | 8779 |
pyram
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-04-30 | 14.37 | 18.91 | 17.09 | 1437 | 1891 | 1709 |
| 2022-05-07 | 11.51 | 17.45 | 14.07 | 1151 | 1745 | 1407 |
skewb
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-04-30 | 9.54 | 17.93 | 13.11 | 954 | 1793 | 1311 |
sq1
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2018-06-09 | 21.03 | 34.73 | 32.40 | 2103 | 3473 | 3240 |
| 2018-07-21 | 28.57 | 40.79 | 37.02 | 2857 | 4079 | 3702 |
444bf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2018-06-09 | 19:27.00 | 22:38.00 | | 116700 | 135800 | |
555bf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2018-06-09 | | | | | | |
| 2018-07-14 | 41:26.00 | 41:26.00 | | 248600 | 248600 | |
333mbf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2018-07-21 | 2/3 0:24:19 | 2/3 0:24:19 | | 980145901 | 980145901 | |
333ft
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-09-16 | 1:24.11 | 1:57.98 | 1:40.85 | 8411 | 11798 | 10085 |
Globe-Trotter