GLS Cup I 2018

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Jonatan Kłosko won with an average of 8.20 seconds in the 3x3x3 Cube event. Hubert Kwasigroch finished second (8.21) and Michał Rzewuski finished third (8.27).

#	Name	Best	Average	Representing	Solves
1	Jonatan Kłosko	7.32	8.20	Poland	8.69	8.30	7.75	8.56	7.32
2	Hubert Kwasigroch	7.86	8.21	Poland	8.59	9.54	7.86	7.92	8.13
3	Michał Rzewuski	6.35	8.27	Poland	9.55	10.30	7.43	7.83	6.35

#	Name	Best	Average	Representing	Solves
1	Tymon Kolasiński	1.65	2.21	Poland	1.65	2.03	2.28	4.93	2.31
2	Karol Zakrzewski	2.13	2.66	Poland	2.69	2.85	2.43	2.13	DNF
3	Vilius Ribinskas	2.19	2.84	Lithuania	2.19	3.52	2.57	2.68	3.27

#	Name	Best	Average	Representing	Solves
1	Wojciech Knott	30.64	32.05	Poland	30.64	30.86	34.44	33.16	32.12
2	Michał Rzewuski	30.25	33.23	Poland	30.25	38.81	32.27	33.19	34.22
3	Karol Zakrzewski	32.36	36.42	Poland	38.64	34.38	37.77	32.36	37.11

#	Name	Best	Average	Representing	Solves
1	Wojciech Knott	57.83	1:00.33	Poland	57.83	1:04.67	1:00.48	1:02.37	58.13
2	Karol Zakrzewski	54.72	1:02.25	Poland	1:03.06	54.72	1:03.60	1:00.10	1:14.11
3	Michał Rzewuski	1:00.39	1:03.73	Poland	1:07.49	1:00.39	1:04.98	1:05.59	1:00.63

#	Name	Best	Average	Representing	Solves
1	Krzysztof Bober	30.40	DNF	Poland	30.40	DNF	DNF
2	Kamil Michalak	47.04	DNF	Poland	47.04	DNF	DNF
3	Stanisław Szyszka	1:04.33	DNF	Poland	1:04.33	DNF	DNF

#	Name	Best	Average	Representing	Solves
1	Michał Wojcieszek	1:01.21	1:03.07	Poland	1:05.96	1:06.32	1:01.21	1:01.47	1:01.79
2	Kalina Jakubowska	1:01.72	1:03.39	Poland	1:01.72	1:03.78	1:07.62	1:03.40	1:02.98
3	Marcin Stachura	1:04.82	1:09.26	Poland	1:04.82	1:12.14	1:24.30	1:06.63	1:09.02

#	Name	Best	Average	Representing	Solves
1	Tymon Kolasiński	1.36	2.64	Poland	3.83	1.66	3.05	1.36	3.20
2	Daniel Samoszyn	3.25	3.86	Poland	3.25	4.19	4.31	3.56	3.82
3	Wojciech Knott	3.65	4.71	Poland	5.69	4.41	4.02	3.65	6.83

#	Name	Best	Average	Representing	Solves
1	Michał Rzewuski	1.57	2.83	Poland	1.57	2.20	2.99	12.27	3.31
2	Tymon Kolasiński	1.64	3.42	Poland	1.64	2.86	3.69	3.71	3.80
3	Jonatan Kłosko	1.83	3.77	Poland	4.23	3.97	3.11	1.83	5.70