Binaya Dhakal
Compétition(s) : 5
Pays visité(s) : 1 - voir la carte
Première compétition : PokharaCubeOpen2019 (2019-01-05)
Dernières compétitions : Welcome Back Nepal 2022 (2022-06-17) City of Lakes Nepal 2020 (2020-02-29) City of Lakes Open 2019 (2019-07-27)
Records Personnel
| Épreuve | Single | Rank NP | Rank W | Moyenne | Rank NP | Rank W |
|---|
| 333 | 11.74 | 33 | 34012 | 13.33 | 25 | 27425 |
| 222 | 2.32 | 11 | 12365 | 4.15 | 17 | 15036 |
| 444 | 39.17 | 11 | 8491 | 44.79 | 10 | 8183 |
| 555 | 2:04.99 | 19 | 19855 | 2:23.68 | 20 | 19552 |
| 333bf | | | | | | |
| 333oh | 24.33 | 43 | 22355 | 28.88 | 32 | 20547 |
| pyram | 5.57 | 23 | 20363 | 8.25 | 23 | 17978 |
| skewb | 4.20 | 11 | 8343 | 5.90 | 7 | 5192 |
| sq1 | 30.38 | 13 | 11801 | 42.02 | 14 | 12062 |
Médailles obtenues
| Épreuve | Or | Argent | Bronze |
|---|
| 333 | | 1 | 1 |
|
| 222 | | 1 | |
|
| 444 | | 2 | 1 |
|
| 333oh | | 1 | |
|
| pyram | | 1 | |
|
| skewb | | 2 | |
|
| sq1 | | 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 |
|---|
| 2019-01-05 | 13.22 | 27.52 | 18.01 | 1322 | 2752 | 1801 |
| 2019-05-24 | 11.74 | 30.22 | 13.87 | 1174 | 3022 | 1387 |
| 2019-07-27 | 12.29 | 23.17 | 15.20 | 1229 | 2317 | 1520 |
| 2020-02-29 | 12.15 | 19.29 | 13.33 | 1215 | 1929 | 1333 |
| 2022-06-17 | 11.77 | 22.98 | 13.57 | 1177 | 2298 | 1357 |
222
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-01-05 | 4.46 | 9.97 | 5.98 | 446 | 997 | 598 |
| 2019-05-24 | 3.93 | 15.49 | 9.71 | 393 | 1549 | 971 |
| 2019-07-27 | 4.43 | 15.20 | 5.12 | 443 | 1520 | 512 |
| 2020-02-29 | 2.95 | 7.85 | 4.15 | 295 | 785 | 415 |
| 2022-06-17 | 2.32 | 9.27 | 4.23 | 232 | 927 | 423 |
444
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-01-05 | 1:00.34 | 1:50.56 | 1:08.86 | 6034 | 11056 | 6886 |
| 2019-05-24 | 49.00 | 1:08.68 | 58.54 | 4900 | 6868 | 5854 |
| 2019-07-27 | 51.44 | 59.94 | 55.87 | 5144 | 5994 | 5587 |
| 2020-02-29 | 49.64 | 56.36 | 53.13 | 4964 | 5636 | 5313 |
| 2022-06-17 | 39.17 | 1:00.30 | 44.79 | 3917 | 6030 | 4479 |
555
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-05-24 | 2:04.99 | 2:32.50 | 2:23.68 | 12499 | 15250 | 14368 |
333bf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-07-27 | | | | | | |
333oh
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-01-05 | 39.29 | 50.68 | 44.66 | 3929 | 5068 | 4466 |
| 2019-05-24 | 24.33 | 45.05 | 31.30 | 2433 | 4505 | 3130 |
| 2019-07-27 | 27.77 | 34.91 | 30.60 | 2777 | 3491 | 3060 |
| 2020-02-29 | 26.79 | 33.88 | 28.88 | 2679 | 3388 | 2888 |
pyram
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-07-27 | 5.57 | 15.64 | 12.71 | 557 | 1564 | 1271 |
| 2020-02-29 | 7.31 | 9.67 | 8.25 | 731 | 967 | 825 |
skewb
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-01-05 | 13.33 | 16.49 | 15.55 | 1333 | 1649 | 1555 |
| 2019-05-24 | 5.85 | 27.33 | 10.41 | 585 | 2733 | 1041 |
| 2019-07-27 | 5.49 | 14.70 | 8.17 | 549 | 1470 | 817 |
| 2020-02-29 | 5.15 | 8.02 | 7.01 | 515 | 802 | 701 |
| 2022-06-17 | 4.20 | 8.51 | 5.90 | 420 | 851 | 590 |
sq1
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-05-24 | 30.38 | 1:16.71 | 42.02 | 3038 | 7671 | 4202 |
| 2020-02-29 | 31.37 | 54.30 | 42.08 | 3137 | 5430 | 4208 |
Globe-Trotter
