Ameya Anand Kamat
Compétition(s) : 5
Pays visité(s) : 1 - voir la carte
Première compétition : KJSCEMumbaiOpen2016 (2016-08-27)
Dernières compétitions : Carte Blanche Kube Open 2019 (2019-03-02) CMI Tessellate Cube Open 2019 (2019-02-01) CMI Autumn Open 2018 (2018-10-27)
PR Streak : 5 (en cours)
Records Personnel
| Épreuve | Single | Rank US | Rank W | Moyenne | Rank US | Rank W |
|---|
| 333 | 11.93 | 7319 | 38768 | 15.24 | 8520 | 45579 |
| 222 | 3.96 | 10198 | 48421 | 5.63 | 9105 | 42894 |
| 444 | 1:12.61 | 8270 | 41393 | 1:22.98 | 8123 | 39288 |
| 555 | 2:30.76 | 5742 | 26925 | 2:53.84 | 5136 | 23945 |
| 777 | | | | | | |
| 333bf | 5:18.98 | 1694 | 9996 | | | |
| 333fm | 38 | 878 | 5030 | 44.67 | 756 | 4148 |
| 333oh | 29.01 | 5995 | 32634 | 35.81 | 5899 | 32212 |
| clock | | | | | | |
| minx | 4:43.13 | 7607 | 33059 | | | |
| pyram | 16.65 | 25552 | 112115 | 20.16 | 23239 | 100975 |
| skewb | 8.44 | 7827 | 32569 | 13.83 | 8955 | 36517 |
| sq1 | 20.70 | 1917 | 7452 | 29.49 | 2030 | 8007 |
| 333mbf | | | | | | |
Médailles obtenues
| Épreuve | Or | Argent | Bronze |
|---|
| 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 |
|---|
| 2016-08-27 | 18.18 | 37.30 | 22.84 | 1818 | 3730 | 2284 |
| 2016-12-23 | 11.93 | 20.28 | 15.84 | 1193 | 2028 | 1584 |
| 2018-10-27 | 14.19 | 22.51 | 17.52 | 1419 | 2251 | 1752 |
| 2019-02-01 | 13.33 | 21.16 | 16.30 | 1333 | 2116 | 1630 |
| 2019-03-02 | 12.76 | 23.97 | 15.24 | 1276 | 2397 | 1524 |
222
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-27 | 6.99 | 15.23 | 8.50 | 699 | 1523 | 850 |
| 2016-12-23 | 3.96 | 7.83 | 5.63 | 396 | 783 | 563 |
| 2018-10-27 | 5.55 | 19.52 | 6.97 | 555 | 1952 | 697 |
| 2019-02-01 | 4.02 | 9.57 | 6.59 | 402 | 957 | 659 |
| 2019-03-02 | 5.85 | 6.93 | 6.71 | 585 | 693 | 671 |
444
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-23 | 1:18.26 | 1:41.72 | 1:28.92 | 7826 | 10172 | 8892 |
| 2018-10-27 | 1:16.31 | 1:56.30 | 1:24.32 | 7631 | 11630 | 8432 |
| 2019-02-01 | 1:12.61 | 1:54.56 | 1:22.98 | 7261 | 11456 | 8298 |
| 2019-03-02 | 1:31.33 | 1:31.33 | | 9133 | 9133 | |
555
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-23 | 3:32.40 | 3:42.19 | | 21240 | 22219 | |
| 2019-02-01 | 3:11.90 | 3:34.82 | | 19190 | 21482 | |
| 2019-03-02 | 2:30.76 | 3:16.79 | 2:53.84 | 15076 | 19679 | 17384 |
777
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-02-01 | | | | | | |
| 2019-03-02 | | | | | | |
333bf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-27 | | | | | | |
| 2016-12-23 | | | | | | |
| 2019-02-01 | | | | | | |
| 2019-03-02 | 5:18.98 | 6:04.92 | | 31898 | 36492 | |
333fm
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-02-01 | 38 | 54 | 44.67 | 38 | 54 | 44.67 |
| 2019-03-02 | 48 | 48 | | 48 | 48 | |
333oh
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-27 | 47.22 | 53.57 | 51.22 | 4722 | 5357 | 5122 |
| 2016-12-23 | 30.71 | 38.74 | 35.81 | 3071 | 3874 | 3581 |
| 2018-10-27 | 47.25 | 47.25 | | 4725 | 4725 | |
| 2019-02-01 | 29.01 | 43.30 | 37.57 | 2901 | 4330 | 3757 |
| 2019-03-02 | 29.94 | 39.53 | 37.41 | 2994 | 3953 | 3741 |
clock
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-02-01 | | | | | | |
minx
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-02-01 | 4:43.13 | 4:43.13 | | 28313 | 28313 | |
pyram
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-27 | 23.09 | 41.64 | | 2309 | 4164 | |
| 2018-10-27 | 16.65 | 22.13 | 20.16 | 1665 | 2213 | 2016 |
| 2019-02-01 | 21.06 | 31.05 | 23.15 | 2106 | 3105 | 2315 |
skewb
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-27 | 14.26 | 25.30 | 22.57 | 1426 | 2530 | 2257 |
| 2016-12-23 | 8.60 | 22.17 | 13.83 | 860 | 2217 | 1383 |
| 2018-10-27 | 8.44 | 22.82 | 18.77 | 844 | 2282 | 1877 |
| 2019-02-01 | 10.60 | 32.84 | 20.47 | 1060 | 3284 | 2047 |
sq1
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-27 | 1:17.07 | 1:19.66 | | 7707 | 7966 | |
| 2016-12-23 | 50.26 | 1:24.69 | 1:15.02 | 5026 | 8469 | 7502 |
| 2019-02-01 | 1:22.53 | 2:02.68 | | 8253 | 12268 | |
| 2019-03-02 | 20.70 | 38.95 | 29.49 | 2070 | 3895 | 2949 |
333mbf
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2019-02-01 | | | | | | |
| 2019-03-02 | | | | | | |
Globe-Trotter
