Competition Analysis for Aasee Algorithms 2023: Choose a Report to View Below

#	Competitor	Best	Average	1	2	3	4	5
1	Kevin Gerhardt	2.20	2.56	2.20	3.37	3.09	2.21	2.38
2	Alwin Rölz	2.23	3.32	3.44	3.51	4.11	2.23	3.00
3	Luc Prevost	2.95	3.34	2.95	4.04	3.50	3.55	2.97
4	Henri Gerber	2.69	3.61	3.99	5.25	2.69	3.47	3.36
5	Malte Ihlefeld	2.56	3.94	2.56	5.92	4.39	2.92	4.51
6	Noah Kraft	3.24	4.25	3.24	4.83	4.48	4.18	4.10
7	Linus Kunath	2.97	4.40	2.97	4.85	4.20	5.44	4.16
8	Duc Huynh	2.08	4.64	DNF	6.52	2.18	2.08	5.21
9	Cedric Meysing	4.36	4.69	4.65	4.84	4.58	4.36	4.93
10	Gil Kochbeck	3.25	4.88	3.25	4.46	4.86	8.71	5.32
11	Jule Stadelmeier	4.18	5.05	5.32	4.26	4.18	5.78	5.58
12	Joel Cetra	4.13	5.09	9.59	5.55	4.89	4.82	4.13
13	Imanuel Müller	3.87	5.31	3.87	5.88	4.83	5.40	5.70
14	Wilhelm Drehling	5.24	5.56	5.24	7.38	5.46	5.26	5.97
15	Achim Spies	4.50	5.67	4.50	5.47	5.94	5.60	11.06
16	Paul Mirza	4.59	5.82	7.47	4.94	5.05	4.59	8.02
17	Justus Hanf	3.76	6.19	3.76	5.19	7.20	7.99	6.17
18	Mia Klauk	5.14	6.26	6.46	5.14	5.22	8.07	7.10
19	Leon Alexander Götze	5.76	6.74	9.60	5.76	6.40	6.42	7.40
20	Erik Akkersdijk	4.75	7.07	5.07	4.75	DNF	7.39	8.75
21	Hannes Müller	4.00	7.23	8.19	14.57	4.00	4.93	8.56
22	Adrian Gersner	6.68	7.30	7.58	7.20	7.12	14.90	6.68
23	Luis Kleinheinz	3.73	7.31	3.73	5.88	11.56	9.98	6.06
24	Konstantin Jaehne	5.69	7.34	5.69	7.54	6.20	8.27	8.38
25	Till Piwko	5.94	7.42	7.00	5.94	8.01	7.26	9.89
26	Philipp Jansen	5.79	7.48	5.79	10.54	6.25	8.38	7.80
27	Otto Canell Watkins	6.26	7.86	6.42	8.91	6.26	8.24	9.79
28	Hannes Laabs	6.28	8.45	6.28	10.23	7.15	8.32	9.89
29	Fabian Staber	6.75	8.60	6.75	11.46	9.84	8.47	7.50
30	Jonas Sachgau	7.51	8.61	7.51	12.11	7.62	9.06	9.14
31	Johanna Szczesny	4.88	9.23	8.83	10.39	8.76	4.88	10.09
32	Joe Nowak	5.78	9.24	5.78	9.45	8.56	9.72	11.81
33	Skye Perryn	6.29	9.53	8.42	12.35	7.83	6.29	19.30
34	Marlon Starsch	7.05	9.66	14.81	9.89	7.29	7.05	11.81
35	Aurelia Röpke	7.08	9.68	7.08	10.69	8.32	10.50	10.21
36	Annika Stein	5.50	9.71	5.50	21.15	9.45	6.71	12.98
37	Ulrich Spies	7.36	10.31	7.36	8.19	14.21	11.40	11.35
38	Kira-Lysan Meyer	4.79	10.45	4.79	12.69	8.08	11.12	12.16
39	Katharina Schlomberg	5.17	10.68	12.48	14.03	5.17	11.21	8.35
40	Tim Kalle Wenkel	8.15	10.76	8.15	9.01	12.52	23.25	10.76
41	Tino Nordbeck	8.18	11.49	8.18	11.25	11.40	DNF	11.81
42	Dominik Hinze	7.06	11.67	14.73	7.06	9.72	10.55	16.66
43	Felix Christian Schmidt	10.21	11.88	12.22	11.68	10.21	14.15	11.74
44	Marie Brandes	9.52	11.95	14.40	10.89	9.52	10.57	15.88
45	Johannes Rueben	11.14	12.10	16.17	13.57	11.47	11.27	11.14
46	Christian Sachgau	9.83	12.37	9.83	12.28	13.48	11.63	13.20
47	Marcel Freitag	5.61	13.06	5.61	16.01	11.89	11.28	18.64
48	Maurice Nowak	9.30	13.09	11.06	27.30	11.25	9.30	16.96
49	Danny Kaiser	10.24	13.60	10.61	26.93	11.17	10.24	19.03
50	Heike Zbierski	11.70	13.94	11.86	11.70	16.72	18.73	13.23
51	Daniel Rörick	11.11	14.13	26.41	14.55	11.11	14.18	13.66
52	Annalena Walser	7.39	14.67	15.39	7.39	10.29	18.33	21.44
53	Tristan Rudolph	10.43	15.04	10.43	28.18	13.06	10.58	21.48
54	Florian Rörick	12.29	15.06	14.75	17.33	12.29	15.57	14.85
55	Simon Dimpker	10.25	15.07	19.19	10.25	24.11	11.20	14.82
56	Linus Blümel	9.18	15.20	16.14	13.42	16.04	9.18	19.12
57	Nora Akkersdijk	9.37	15.24	9.37	19.78	15.73	10.20	20.70
58	Alois Purbojo	11.31	15.46	11.31	17.17	13.57	15.64	23.48
59	Philipp Klassen	13.93	15.55	13.93	16.65	22.91	15.29	14.72
60	Justus Gaehme	11.43	16.30	15.66	24.13	19.32	11.43	13.92
61	Nick Loskamp	12.85	16.61	17.07	19.92	12.85	19.12	13.63
62	Stephan Wilhelm	11.14	16.87	14.97	17.62	11.14	18.92	18.02
63	Lars Krökel	15.84	18.46	17.63	20.60	20.09	17.67	15.84
64	Nils-Robin Bamberg	14.92	19.13	16.34	24.94	16.11	14.92	38.63
65	Fiedje Wächter	10.84	19.21	21.31	20.74	15.81	10.84	21.09
66	Patrick Bessel	14.38	21.25	26.25	31.87	18.37	14.38	19.14
67	Vivien Luxi Yang	19.94	21.72	40.07	20.71	21.14	23.30	19.94
68	Yannick Qi Zhu	18.44	22.23	42.04	27.21	18.55	18.44	20.92
69	Mira Loskamp	21.87	25.52	26.62	23.05	26.89	28.61	21.87

Placement, best single and official average with every attempt in order. Best and worst counting solves are marked. DNF and DNS are never treated as times.