Qiuyu Yu (余秋雨)
Compétition(s) : 11
Pays visité(s) : 2 - voir la carte
Première compétition : NanchangOpen2015 (2015-06-14)
Dernières compétitions : Nanchang Winter 2019 (2019-12-21) Wuhu Open 2019 (2019-04-27) Nanchang Open 2019 (2019-04-20)
Records Personnel
| Épreuve | Single | Rank CN | Rank W | Moyenne | Rank CN | Rank W |
|---|
| 333 | 12.05 | 4772 | 36862 | 13.17 | 3495 | 26282 |
| 222 | 4.08 | 4280 | 48109 | 5.37 | 3417 | 35143 |
| 444 | 44.77 | 1745 | 13848 | 48.60 | 1433 | 11348 |
| 555 | 1:36.17 | 1311 | 12185 | 1:40.60 | 1154 | 10435 |
| 666 | 3:14.31 | 827 | 7625 | 3:27.82 | 822 | 7447 |
| 777 | 4:24.15 | 651 | 5006 | 4:44.49 | 659 | 5089 |
| 333fm | 37 | 365 | 4298 | | | |
| 333oh | 19.43 | 1707 | 12959 | 23.90 | 1783 | 12694 |
| clock | 15.52 | 1040 | 14331 | 19.01 | 1006 | 13992 |
| minx | 1:18.59 | 570 | 6637 | 1:27.42 | 555 | 6450 |
| pyram | 5.35 | 1652 | 18545 | 8.27 | 1870 | 18119 |
| skewb | 4.00 | 574 | 7359 | 6.96 | 814 | 8580 |
| sq1 | 25.77 | 607 | 9629 | 35.67 | 659 | 9896 |
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 |
|---|
| 2015-06-14 | 24.05 | 30.64 | 28.26 | 2405 | 3064 | 2826 |
| 2016-04-30 | 17.55 | 22.08 | 19.32 | 1755 | 2208 | 1932 |
| 2016-12-11 | 14.54 | 20.92 | 16.53 | 1454 | 2092 | 1653 |
| 2017-04-15 | 14.38 | 20.42 | 16.45 | 1438 | 2042 | 1645 |
| 2018-06-17 | 12.05 | 17.39 | 15.34 | 1205 | 1739 | 1534 |
| 2019-04-20 | 12.72 | 17.86 | 14.03 | 1272 | 1786 | 1403 |
| 2019-04-27 | 13.16 | 18.02 | 14.78 | 1316 | 1802 | 1478 |
| 2019-12-21 | 12.55 | 16.62 | 13.17 | 1255 | 1662 | 1317 |
222
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2015-12-27 | 4.25 | 9.34 | 6.03 | 425 | 934 | 603 |
| 2016-04-30 | 5.79 | 8.04 | 7.14 | 579 | 804 | 714 |
| 2016-12-11 | 5.28 | 8.44 | 6.54 | 528 | 844 | 654 |
| 2017-04-15 | 4.68 | 9.51 | 7.46 | 468 | 951 | 746 |
| 2018-06-17 | 7.44 | 23.51 | 11.06 | 744 | 2351 | 1106 |
| 2019-04-20 | 4.41 | 14.53 | 5.69 | 441 | 1453 | 569 |
| 2019-04-27 | 4.32 | 8.24 | 5.41 | 432 | 824 | 541 |
| 2019-12-21 | 4.08 | 7.74 | 5.37 | 408 | 774 | 537 |
444
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-11 | 1:00.52 | 1:08.06 | 1:05.31 | 6052 | 6806 | 6531 |
| 2017-04-15 | 1:01.61 | 1:04.43 | | 6161 | 6443 | |
| 2018-07-08 | 1:04.34 | 1:08.33 | | 6434 | 6833 | |
| 2019-04-20 | 51.47 | 1:09.38 | 57.51 | 5147 | 6938 | 5751 |
| 2019-04-27 | 44.77 | 57.27 | 48.60 | 4477 | 5727 | 4860 |
| 2019-12-21 | 48.30 | 1:17.75 | 51.90 | 4830 | 7775 | 5190 |
555
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2018-06-17 | 1:45.09 | 2:09.22 | 1:53.67 | 10509 | 12922 | 11367 |
| 2019-04-20 | 1:38.52 | 1:55.85 | 1:50.46 | 9852 | 11585 | 11046 |
| 2019-12-21 | 1:36.17 | 1:58.18 | 1:40.60 | 9617 | 11818 | 10060 |
666
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-04-20 | 3:14.31 | 3:46.02 | 3:27.82 | 19431 | 22602 | 20782 |
777
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2018-06-17 | 5:43.20 | 5:43.20 | | 34320 | 34320 | |
| 2019-04-20 | 5:18.86 | 5:18.86 | | 31886 | 31886 | |
| 2019-12-21 | 4:24.15 | 5:08.31 | 4:44.49 | 26415 | 30831 | 28449 |
333fm
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-10 | 37 | 46 | | 37 | 46 | |
333oh
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-04-30 | 24.43 | 39.22 | 27.38 | 2443 | 3922 | 2738 |
| 2016-12-11 | 20.37 | 28.43 | 23.90 | 2037 | 2843 | 2390 |
| 2017-04-15 | 21.64 | 43.37 | 29.95 | 2164 | 4337 | 2995 |
| 2018-07-08 | 19.43 | 34.98 | 23.99 | 1943 | 3498 | 2399 |
| 2019-04-20 | 20.65 | 31.53 | 24.28 | 2065 | 3153 | 2428 |
clock
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-04-30 | 15.52 | 29.78 | 19.01 | 1552 | 2978 | 1901 |
minx
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-11 | 1:38.02 | 1:56.03 | 1:47.79 | 9802 | 11603 | 10779 |
| 2017-04-15 | 1:18.59 | 2:05.00 | 1:32.90 | 7859 | 12500 | 9290 |
| 2018-06-17 | 1:25.94 | 1:58.67 | 1:35.46 | 8594 | 11867 | 9546 |
| 2019-04-27 | 1:25.00 | 1:42.86 | 1:29.53 | 8500 | 10286 | 8953 |
| 2019-12-21 | 1:20.62 | 1:37.32 | 1:27.42 | 8062 | 9732 | 8742 |
pyram
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2015-12-27 | 10.71 | 16.96 | 13.08 | 1071 | 1696 | 1308 |
| 2016-04-30 | 5.35 | 15.06 | 8.87 | 535 | 1506 | 887 |
| 2016-12-11 | 5.78 | 14.82 | 8.27 | 578 | 1482 | 827 |
| 2017-04-15 | 6.88 | 16.30 | 8.31 | 688 | 1630 | 831 |
| 2018-06-17 | 7.85 | 11.77 | 9.64 | 785 | 1177 | 964 |
| 2019-04-20 | 7.31 | 15.74 | 9.97 | 731 | 1574 | 997 |
| 2019-04-27 | 6.31 | 9.33 | | 631 | 933 | |
| 2019-12-21 | 7.68 | 11.70 | 10.13 | 768 | 1170 | 1013 |
skewb
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2015-12-27 | 4.00 | 20.40 | 8.15 | 400 | 2040 | 815 |
| 2016-04-30 | 6.27 | 13.83 | 6.96 | 627 | 1383 | 696 |
| 2016-12-11 | 6.71 | 14.46 | 8.89 | 671 | 1446 | 889 |
| 2017-04-15 | 4.93 | 11.00 | 7.84 | 493 | 1100 | 784 |
| 2018-06-17 | 8.48 | 18.44 | 11.38 | 848 | 1844 | 1138 |
| 2019-04-20 | 4.77 | 13.79 | 8.45 | 477 | 1379 | 845 |
sq1
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-04-15 | 26.64 | 58.74 | 35.67 | 2664 | 5874 | 3567 |
| 2018-06-17 | 32.85 | 46.07 | 41.51 | 3285 | 4607 | 4151 |
| 2019-04-20 | 31.81 | 1:18.30 | 46.30 | 3181 | 7830 | 4630 |
| 2019-12-21 | 25.77 | 50.21 | 36.54 | 2577 | 5021 | 3654 |
Globe-Trotter