Josh Lengel
Compétition(s) : 8
Pays visité(s) : 3 - voir la carte
Première compétition : Cubelonia2016 (2016-01-09)
Dernières compétitions : German Open 2019 (2019-04-06) Monnem City Cubing 2017 (2017-09-16) German Nationals 2017 (2017-09-01)
PR Streak : 8 (en cours)
Records Personnel
| Épreuve | Single | Rank DE | Rank W | Moyenne | Rank DE | Rank W |
|---|
| 333 | 13.62 | 910 | 52774 | 16.95 | 998 | 56713 |
| 222 | 3.96 | 822 | 46330 | 5.82 | 776 | 44593 |
| 444 | 1:00.79 | 665 | 29843 | 1:06.74 | 610 | 27341 |
| 555 | 3:07.37 | 860 | 31507 | | | |
| 666 | | | | | | |
| 333bf | 5:09.99 | 251 | 9442 | | | |
| 333fm | 56 | 309 | 10706 | 67 | 159 | 5715 |
| 333oh | 39.74 | 835 | 45788 | 45.92 | 770 | 41781 |
| minx | 3:07.94 | 545 | 25443 | | | |
| pyram | 4.28 | 211 | 11088 | 6.31 | 150 | 8658 |
| skewb | 4.98 | 223 | 12426 | 9.83 | 339 | 19630 |
| sq1 | 30.20 | 243 | 11957 | 35.25 | 187 | 9938 |
| 333mbf | | | | | | |
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 |
|---|
| 2016-01-09 | 46.25 | 1:27.08 | 1:01.83 | 4625 | 8708 | 6183 |
| 2016-05-07 | 28.88 | 34.23 | 31.47 | 2888 | 3423 | 3147 |
| 2016-07-15 | 25.95 | 56.25 | 34.20 | 2595 | 5625 | 3420 |
| 2017-01-06 | 21.72 | 32.12 | 24.79 | 2172 | 3212 | 2479 |
| 2017-07-13 | 15.99 | 25.77 | 19.11 | 1599 | 2577 | 1911 |
| 2017-09-01 | 13.62 | 19.38 | 17.79 | 1362 | 1938 | 1779 |
| 2017-09-16 | 14.40 | 21.28 | 16.95 | 1440 | 2128 | 1695 |
| 2019-04-06 | 14.93 | 25.66 | 18.94 | 1493 | 2566 | 1894 |
222
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-01-09 | 5.05 | 20.27 | 13.39 | 505 | 2027 | 1339 |
| 2016-05-07 | 6.97 | 11.68 | 9.82 | 697 | 1168 | 982 |
| 2016-07-15 | 7.45 | 11.22 | 8.58 | 745 | 1122 | 858 |
| 2017-01-06 | 6.11 | 15.18 | 7.95 | 611 | 1518 | 795 |
| 2017-07-13 | 6.46 | 6.46 | | 646 | 646 | |
| 2017-09-01 | 5.21 | 8.18 | 5.82 | 521 | 818 | 582 |
| 2017-09-16 | 3.96 | 15.01 | 7.25 | 396 | 1501 | 725 |
| 2019-04-06 | 5.32 | 7.26 | 5.90 | 532 | 726 | 590 |
444
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-05-07 | 2:30.53 | 2:30.53 | | 15053 | 15053 | |
| 2016-07-15 | 2:46.84 | 2:57.32 | | 16684 | 17732 | |
| 2017-01-06 | 2:04.71 | 3:01.56 | | 12471 | 18156 | |
| 2017-09-01 | 1:20.88 | 1:27.97 | | 8088 | 8797 | |
| 2017-09-16 | 1:00.79 | 1:16.10 | 1:06.74 | 6079 | 7610 | 6674 |
| 2019-04-06 | 1:39.52 | 1:39.52 | | 9952 | 9952 | |
555
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-05-07 | | | | | | |
| 2017-09-01 | 3:26.83 | 3:42.89 | | 20683 | 22289 | |
| 2017-09-16 | 3:07.37 | 3:17.11 | | 18737 | 19711 | |
| 2019-04-06 | 3:54.41 | 3:54.93 | | 23441 | 23493 | |
666
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-05-07 | | | | | | |
333bf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-09-01 | | | | | | |
| 2017-09-16 | | | | | | |
| 2019-04-06 | 5:09.99 | 5:09.99 | | 30999 | 30999 | |
333fm
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-01-09 | 60 | 60 | | 60 | 60 | |
| 2016-05-07 | 70 | 70 | | 70 | 70 | |
| 2017-01-06 | 56 | 76 | 67 | 56 | 76 | 67 |
333oh
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-09-01 | 52.14 | 54.55 | | 5214 | 5455 | |
| 2017-09-16 | 39.74 | 1:17.06 | 45.92 | 3974 | 7706 | 4592 |
| 2019-04-06 | 52.25 | 1:14.55 | | 5225 | 7455 | |
minx
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-05-07 | 4:51.62 | 5:52.34 | | 29162 | 35234 | |
| 2016-07-15 | | | | | | |
| 2017-01-06 | 4:28.43 | 5:19.28 | | 26843 | 31928 | |
| 2019-04-06 | 3:07.94 | 4:06.89 | | 18794 | 24689 | |
pyram
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-01-09 | 12.30 | 19.06 | 15.55 | 1230 | 1906 | 1555 |
| 2016-05-07 | 12.03 | 22.13 | 16.14 | 1203 | 2213 | 1614 |
| 2016-07-15 | 9.63 | 16.35 | 14.48 | 963 | 1635 | 1448 |
| 2017-01-06 | 5.46 | 16.26 | 9.78 | 546 | 1626 | 978 |
| 2017-07-13 | 6.58 | 9.87 | 8.23 | 658 | 987 | 823 |
| 2017-09-01 | 5.78 | 11.94 | 6.31 | 578 | 1194 | 631 |
| 2017-09-16 | 4.28 | 36.85 | 6.88 | 428 | 3685 | 688 |
| 2019-04-06 | 7.49 | 10.30 | 8.75 | 749 | 1030 | 875 |
skewb
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-05-07 | 20.24 | 32.92 | 26.84 | 2024 | 3292 | 2684 |
| 2016-07-15 | 11.83 | 32.47 | 22.84 | 1183 | 3247 | 2284 |
| 2017-01-06 | 17.23 | 25.29 | 20.46 | 1723 | 2529 | 2046 |
| 2017-09-01 | 7.08 | 18.55 | 10.36 | 708 | 1855 | 1036 |
| 2017-09-16 | 4.98 | 26.99 | 11.53 | 498 | 2699 | 1153 |
| 2019-04-06 | 7.06 | 11.74 | 9.83 | 706 | 1174 | 983 |
sq1
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-09-16 | 30.20 | 57.97 | 35.25 | 3020 | 5797 | 3525 |
| 2019-04-06 | 35.78 | 1:23.80 | 51.65 | 3578 | 8380 | 5165 |
333mbf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-09-16 | | | | | | |
Globe-Trotter