MTD Spring 2017

Results

Skewb

#	Competitor	Best	Average	Solves
1	Federico da Fonseca	3.06	3.73	4.13 4.01 3.94 3.25 3.06
2	Bautista Bonazzola	3.50	4.41	5.56 3.50 3.74 3.93 6.28
3	Marcos Masini	3.24	4.63	6.61 4.43 3.24 5.19 4.27
4	Fernando Lomazzi	3.67	4.95	8.18 5.05 3.67 4.84 4.96
5	Gabriel Alejandro Quiroz	3.91	5.32	3.91 5.52 5.64 4.79 5.89
6	Manuel Gutman	4.37	5.57	4.37 5.88 5.26 7.27 5.57
7	Ramiro Mendez	5.31	6.18	8.09 5.86 6.92 5.31 5.77
8	Theo Goluboff	5.47	6.33	7.00 6.06 6.42 6.52 5.47
9	Juan Manuel Sangregorio	5.94	7.06	7.96 5.94 6.31 7.51 7.37
10	Damián Jail Campos	6.32	7.29	7.97 7.11 6.32 7.75 7.01
11	Germán Venturino	5.03	8.07	5.95 8.18 5.03 13.15 10.08
12	Juan Ramos	7.73	8.97	7.73 10.53 7.91 14.15 8.48
13	Vicente Garcia Marti	6.37	9.85	8.38 9.62 6.37 11.56 11.78
14	Lucas Fauci Bassarsky	8.39	10.12	12.59 8.39 9.13 8.96 12.27
15	Manuel Oribe	6.28	11.13	7.35 10.41 6.28 15.63 1:23.86
16	Guido Dipietro	6.58	11.79	6.58 8.27 DNF 10.44 16.67
17	Franco Tomaselli	6.64	15.24	13.28 23.81 6.64 8.63 39.95
18	Santiago Basso	10.96	15.39	15.72 15.37 15.08 10.96 20.31
19	Federico Ian Amor	15.82	18.17	21.26 24.82 16.50 16.75 15.82
20	Tomas De La Rosa	14.77	18.26	15.43 14.77 18.79 22.46 20.55
21	Juan Valentin Grondona Caimi	12.38	20.77	23.23 13.48 12.38 25.59 26.35
22	Jonathan Echagüe	18.07	25.83	35.47 18.07 23.11 22.40 31.98
23	Javier Leone	25.78	29.96	28.28 25.78 28.30 39.45 33.29
24	Mateo Agustín Curto	33.62	—	36.50 33.62 — — —
25	Ignacio Tomietto	38.03	—	40.56 38.03 — — —

#	Competitor	Best	Average	Solves
1	Federico da Fonseca	3.00	3.39	3.28 3.84 3.22 3.00 3.68
2	Bautista Bonazzola	3.81	4.31	5.85 4.75 4.15 3.81 4.02
3	Gabriel Alejandro Quiroz	3.29	5.32	7.30 4.23 3.29 6.83 4.89
4	Theo Goluboff	4.04	5.53	4.39 6.71 4.04 6.47 5.72
5	Marcos Masini	4.46	5.62	6.61 7.84 5.19 4.46 5.07
6	Fernando Lomazzi	4.52	5.64	6.05 6.00 4.86 4.52 6.93
7	Manuel Gutman	3.69	6.17	5.53 6.29 3.69 8.06 6.69
8	Juan Manuel Sangregorio	4.70	6.20	7.02 6.62 6.28 4.70 5.69
9	Damián Jail Campos	5.06	7.09	8.30 7.49 5.06 5.69 8.09
10	Ramiro Mendez	4.22	7.80	10.50 6.70 6.80 4.22 9.91