Happy Autumn MDQ 2018

Information: El torneo contará con un cupo de 60 personas. El precio será de $200. El pago deberá realizarse con anticipación, hasta no realizarse el pago el competidor no tendrá asegurado su lugar en el torneo.

Registration period: Online registration opened and closed .
Registration requirements: This competition is over, click here to display the registration requirements it used.

Hide registration requirements.

Create a WCA account here if you don't have one.
If this is not your first competition, associate your WCA ID to your WCA account here.
Register for this competition here.
There is a competitor limit of 60 competitors.
The base registration fee for this competition is $200 (Argentine Peso).

Payment must be made in advance, in case that the competitor does not attend the tournament, no refund is paid. On the spot registrations will not be allowed.

El pago debe hacerse por adelantado, en caso de que el competidor no asista al torneo, no se realizará ningún tipo de reembolso. No se permiten registros el día de la competencia.
Highlights: Click here to display the highlights of the competition.

Hide highlights.

Ramiro Mendez won with an average of 8.40 seconds in the 3x3x3 Cube event. Bautista Bonazzola finished second (8.87) and Agustín Bernasconi finished third (10.73).

#	Name	Best	Average	Representing	Solves
1	Ramiro Mendez	7.04	8.40	Argentina	8.83	7.04	10.53	7.51	8.85
2	Bautista Bonazzola	8.27	8.87	Argentina	9.11	8.43	8.27	11.03	9.08
3	Agustín Bernasconi	9.01	10.73	Argentina	9.81	10.66	11.73	12.88	9.01

#	Name	Best	Average	Representing	Solves
1	Bautista Bonazzola	1.53	2.10	Argentina	2.02	2.23	1.53	3.05	2.06
2	Marcos Masini	1.41	3.11	Argentina	2.45	1.41	4.07	2.81	4.78
3	Ramiro Mendez	2.37	3.34	Argentina	3.65	3.10	3.26	4.44	2.37

#	Name	Best	Average	Representing	Solves
1	Agustín Bernasconi	39.44	41.80	Argentina	41.89	39.44	40.02	43.48	44.25
2	Bautista Bonazzola	33.35	43.79	Argentina	43.78	52.83	38.35	49.23	33.35
3	Juan Manuel Mariscal	41.70	44.51	Argentina	47.04	51.05	42.95	41.70	43.53

#	Name	Best	Average	Representing	Solves
1	Bautista Bonazzola	1:02.69	1:08.41	Argentina	1:02.69	1:12.52	1:08.84	1:09.83	1:06.55
2	Genaro Sahib Leguizamon	1:10.23	1:16.61	Argentina	1:16.57	1:10.23	1:17.36	1:24.06	1:15.91
3	Agustín Bernasconi	1:19.34	1:28.13	Argentina	1:32.17	1:22.49	1:29.73	1:19.34	1:43.14

#	Name	Best	Average	Representing	Solves
1	Agustín Bernasconi	1:40.13	DNF	Argentina	1:40.13	DNF	DNF
2	Marcos Masini	1:58.70	DNF	Argentina	1:58.70	DNF	DNF
3	Ramiro Mendez	2:18.20	DNF	Argentina	DNF	2:18.20	DNF

#	Name	Best	Average	Representing	Solves
1	Ramiro Mendez	13.04	13.44	Argentina	13.27	13.04	13.75	16.72	13.29
2	Bautista Bonazzola	11.80	14.39	Argentina	15.59	12.41	15.18	11.80	15.67
3	Agustín Bernasconi	12.70	16.95	Argentina	20.94	12.70	14.24	18.45	18.15

#	Name	Best	Average	Representing	Solves
1	Bautista Bonazzola	11.39	12.79	Argentina	12.08	13.40	12.90	11.39	14.31
2	Federico da Fonseca	12.62	13.75	Argentina	12.76	15.09	12.62	14.70	13.78
3	Marcos Masini	15.20	17.08	Argentina	15.20	18.10	16.47	17.92	16.86

#	Name	Best	Average	Representing	Solves
1	Genaro Sahib Leguizamon	57.21	1:00.52	Argentina	1:07.02	1:01.63	59.25	1:00.68	57.21
2	Bautista Bonazzola	1:12.85	1:16.87	Argentina	1:30.94	1:16.91	1:19.79	1:13.92	1:12.85
3	Federico da Fonseca	1:18.36	1:20.37	Argentina	1:27.41	1:18.64	1:22.58	1:18.36	1:19.88

#	Name	Best	Average	Representing	Solves
1	Marcos Masini	2.61	4.25	Argentina	6.57	4.65	2.61	2.96	5.15
2	Genaro Sahib Leguizamon	3.57	4.46	Argentina	4.81	4.24	4.50	3.57	4.63
3	Federico da Fonseca	3.92	4.54	Argentina	9.61	3.92	5.03	3.98	4.61

#	Name	Best	Average	Representing	Solves
1	Marcos Masini	1.96	3.70	Argentina	2.49	5.55	4.16	4.44	1.96
2	Bautista Bonazzola	2.97	3.77	Argentina	3.76	4.48	2.97	3.92	3.62
3	Federico da Fonseca	4.22	5.01	Argentina	5.42	5.33	5.13	4.56	4.22

#	Name	Best	Average	Representing	Solves
1	Bautista Bonazzola	13.51	15.62	Argentina	15.82	16.55	13.51	15.72	15.32
2	Agustín Bernasconi	11.49	15.63	Argentina	17.75	15.15	11.49	15.51	16.22
3	Genaro Sahib Leguizamon	13.40	16.00	Argentina	13.40	17.92	19.96	15.36	14.72