Edward Mendez
Compétition(s) : 7
Pays visité(s) : 2 - voir la carte
Première compétition : XelaOpen2016 (2016-08-12)
Dernières compétitions : Speedcubing Academy Xelajú 2019 (2019-05-17) Rubik Xela Open 2017 (2017-09-02) IGA Rubik 2017 (2017-08-19)
Records Personnel
| Épreuve | Single | Rank GT | Rank W | Moyenne | Rank GT | Rank W |
|---|
| 333 | 14.03 | 165 | 55432 | 17.03 | 162 | 56213 |
| 222 | 2.10 | 25 | 9224 | 5.57 | 113 | 38961 |
| 444 | 50.86 | 75 | 20084 | 54.79 | 65 | 16910 |
| 555 | 1:47.02 | 65 | 15305 | 2:12.18 | 74 | 17768 |
| 666 | 3:53.56 | 39 | 10131 | 4:17.68 | 37 | 9680 |
| 777 | 6:36.99 | 39 | 9881 | | | |
| 333fm | 48 | 29 | 8659 | 52.33 | 12 | 5083 |
| 333oh | 21.27 | 64 | 16414 | 29.49 | 82 | 21457 |
| clock | 16.31 | 28 | 15181 | 21.68 | 30 | 15890 |
| minx | 2:06.92 | 72 | 16009 | 2:46.47 | 74 | 16661 |
| pyram | 6.01 | 84 | 24270 | 10.09 | 93 | 30536 |
| skewb | 3.79 | 14 | 6422 | 6.46 | 18 | 6959 |
| sq1 | 47.79 | 60 | 17530 | | | |
Médailles obtenues
| Épreuve | Or | Argent | Bronze |
|---|
| skewb | 1 | | 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 |
|---|
| 2016-08-12 | 17.83 | 28.98 | 24.49 | 1783 | 2898 | 2449 |
| 2016-09-10 | 20.36 | 27.41 | 23.90 | 2036 | 2741 | 2390 |
| 2016-12-21 | 16.41 | 24.90 | 18.80 | 1641 | 2490 | 1880 |
| 2017-03-25 | 14.03 | 23.25 | 17.42 | 1403 | 2325 | 1742 |
| 2017-08-19 | 14.20 | 19.27 | 17.03 | 1420 | 1927 | 1703 |
| 2017-09-02 | 15.73 | 26.60 | 17.36 | 1573 | 2660 | 1736 |
| 2019-05-17 | 15.30 | 21.61 | 17.95 | 1530 | 2161 | 1795 |
222
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-12 | 4.21 | 19.74 | 8.92 | 421 | 1974 | 892 |
| 2016-09-10 | 4.36 | 10.29 | 7.31 | 436 | 1029 | 731 |
| 2016-12-21 | 2.80 | 10.81 | 5.82 | 280 | 1081 | 582 |
| 2017-03-25 | 4.07 | 8.82 | 5.84 | 407 | 882 | 584 |
| 2017-08-19 | 2.10 | 7.81 | 5.68 | 210 | 781 | 568 |
| 2017-09-02 | 5.10 | 8.15 | 5.77 | 510 | 815 | 577 |
| 2019-05-17 | 4.17 | 13.99 | 5.57 | 417 | 1399 | 557 |
444
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-12 | 1:24.07 | 1:54.67 | 1:32.07 | 8407 | 11467 | 9207 |
| 2016-09-10 | 1:29.90 | 1:47.47 | 1:42.21 | 8990 | 10747 | 10221 |
| 2016-12-21 | 1:08.10 | 1:56.99 | 1:21.19 | 6810 | 11699 | 8119 |
| 2017-03-25 | 54.02 | 1:26.40 | 1:04.17 | 5402 | 8640 | 6417 |
| 2017-08-19 | 50.86 | 1:22.04 | 54.79 | 5086 | 8204 | 5479 |
| 2017-09-02 | 52.81 | 1:02.45 | 56.85 | 5281 | 6245 | 5685 |
| 2019-05-17 | 54.77 | 1:19.95 | 1:05.59 | 5477 | 7995 | 6559 |
555
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-12 | 4:03.49 | 5:22.57 | | 24349 | 32257 | |
| 2017-03-25 | 2:10.25 | 2:28.40 | 2:18.54 | 13025 | 14840 | 13854 |
| 2017-09-02 | 1:47.02 | 2:19.96 | 2:12.18 | 10702 | 13996 | 13218 |
| 2019-05-17 | 2:11.37 | 2:25.02 | | 13137 | 14502 | |
666
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-21 | 4:31.16 | 5:37.91 | 5:10.01 | 27116 | 33791 | 31001 |
| 2017-03-25 | 4:42.70 | 4:42.70 | | 28270 | 28270 | |
| 2017-09-02 | 3:53.56 | 4:35.03 | 4:17.68 | 23356 | 27503 | 25768 |
777
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-21 | 8:15.05 | 8:15.05 | | 49505 | 49505 | |
| 2017-03-25 | 8:14.73 | 8:14.73 | | 49473 | 49473 | |
| 2017-09-02 | 6:36.99 | 6:36.99 | | 39699 | 39699 | |
333fm
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-12 | 63 | 68 | | 63 | 68 | |
| 2017-09-02 | 48 | 56 | 52.33 | 48 | 56 | 52.33 |
333oh
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-12 | 46.46 | 1:39.14 | 1:01.40 | 4646 | 9914 | 6140 |
| 2016-09-10 | 35.97 | 1:29.27 | 41.02 | 3597 | 8927 | 4102 |
| 2016-12-21 | 21.27 | 47.44 | 36.00 | 2127 | 4744 | 3600 |
| 2017-03-25 | 29.03 | 1:01.33 | 29.49 | 2903 | 6133 | 2949 |
| 2017-08-19 | 24.01 | 44.92 | 31.79 | 2401 | 4492 | 3179 |
| 2017-09-02 | 27.19 | 41.02 | 36.28 | 2719 | 4102 | 3628 |
clock
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-12-21 | 19.14 | 23.45 | 21.68 | 1914 | 2345 | 2168 |
| 2017-03-25 | | | | | | |
| 2017-09-02 | 16.31 | 49.59 | 30.68 | 1631 | 4959 | 3068 |
minx
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-12 | 3:27.40 | 4:33.25 | 3:55.02 | 20740 | 27325 | 23502 |
| 2016-12-21 | 2:55.14 | 3:19.33 | 3:08.81 | 17514 | 19933 | 18881 |
| 2017-03-25 | 2:06.92 | 2:56.81 | 2:46.47 | 12692 | 17681 | 16647 |
| 2017-09-02 | 2:35.22 | 2:47.11 | | 15522 | 16711 | |
pyram
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-12 | 12.67 | 21.37 | 16.01 | 1267 | 2137 | 1601 |
| 2016-09-10 | 10.92 | 19.37 | 15.19 | 1092 | 1937 | 1519 |
| 2016-12-21 | 6.01 | 15.62 | 10.34 | 601 | 1562 | 1034 |
| 2017-03-25 | 8.73 | 16.46 | 10.32 | 873 | 1646 | 1032 |
| 2017-08-19 | 9.41 | 19.56 | 12.10 | 941 | 1956 | 1210 |
| 2017-09-02 | 8.29 | 15.37 | 10.09 | 829 | 1537 | 1009 |
skewb
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2016-08-12 | 9.43 | 21.82 | 12.80 | 943 | 2182 | 1280 |
| 2016-09-10 | 8.21 | 32.47 | 12.30 | 821 | 3247 | 1230 |
| 2016-12-21 | 4.78 | 16.77 | 7.80 | 478 | 1677 | 780 |
| 2017-03-25 | 5.86 | 9.51 | 6.65 | 586 | 951 | 665 |
| 2017-08-19 | 3.79 | 7.66 | 6.63 | 379 | 766 | 663 |
| 2017-09-02 | 6.05 | 11.26 | 7.11 | 605 | 1126 | 711 |
| 2019-05-17 | 4.63 | 8.80 | 6.46 | 463 | 880 | 646 |
sq1
| Date | Best single | Worst single | Best average | Best single | Worst single | Best average |
|---|
| 2017-03-25 | 1:10.06 | 1:19.19 | | 7006 | 7919 | |
| 2017-09-02 | 47.79 | 47.79 | | 4779 | 4779 | |
Globe-Trotter
