BAKONYRUN 4.0 9KM
Organizator : Watchman
Data : 2019-03-16
Miejsce : Hungary, Németbánya
Dystans : 9 km
Zgłoszonych : 709
Wystartowało : 624
Nie ukończyło : 13
Ukończyło : 611
Na trasie : 13
Wyniki PDF :
Klasyfikacje w punktach pomiarowych: Start | Meta
Klasyfikacje wg kategorii: Wszyscy | 08:30 | 09:00 | 09:30 | 09:45 | 10:15 | 11:00 | 11:45 | 12:30 | Csapat | Egyéni | Women | Men
Klasyfikacja wg czasu netto. Wyniki nieoficjalne !!!
MscZawodnikNumerKlubMiejscowośćKrajKategoriaMkatK/MWaveCzas startuCzas
netto
9km
Czas
brutto
9km
Różnica
w czasie
Tempo
min/km
Tempo
km/h
        
1CSONTOS Gabor 62Men23M 2311:0000:00:0201:36:33.1801:36:35.68 10:435.6 (100%)
2MOLNÁR Sándor 249Men24M 2411:0000:00:0101:36:51.3801:36:53.35+00:00:18 (0.3%)10:455.6 (100%)
3VARGA Lajos 401Men48M 4811:0000:00:0201:45:30.2701:45:32.48+00:08:57 (8.5%)11:435.1 (91.1%)
4KOVÁCS István 199Men51M 5111:0000:00:1501:46:23.0901:46:38.36+00:09:49 (9.2%)11:495.1 (91.1%)
5TOMASITS János 381Men54M 5411:0000:00:0301:47:03.2801:47:06.39+00:10:30 (9.8%)11:535 (89.3%)
6KOSSA Péter 195Men60M 6011:0000:00:0201:49:54.6601:49:56.93+00:13:21 (12.2%)12:124.9 (87.5%)
7UJVÁRI Zsuzsanna 392Women6K 611:0000:00:0201:50:30.9801:50:33.08+00:13:57 (12.6%)12:164.9 (87.5%)
8KOCSI Csaba 190Men82M 8211:0000:00:0601:52:18.7001:52:24.72+00:15:45 (14.0%)12:284.8 (85.7%)
9ÉLŐ Pál 84Men83M 8311:0000:00:1301:52:33.7601:52:46.85+00:16:00 (14.2%)12:304.8 (85.7%)
10KÖTÉL Tamás 205Men84M 8411:0000:00:0301:52:41.2201:52:44.95+00:16:08 (14.3%)12:314.8 (85.7%)
11BOGNÁR Róbert 43Men87M 8711:0000:00:0501:52:59.8901:53:05.65+00:16:26 (14.6%)12:334.8 (85.7%)
12DEME Balázs 71Men105M 10511:0000:00:1001:57:05.6701:57:15.94+00:20:32 (17.5%)13:004.6 (82.1%)
13HORVÁTH Imre 143Men108M 10811:0000:00:1101:57:39.1801:57:51.03+00:21:05 (17.9%)13:044.6 (82.1%)
14SZTANÓ Sándor 368Men111M 11111:0000:00:0201:58:30.0001:58:32.36+00:21:56 (18.5%)13:104.6 (82.1%)
15BOGNÁR Balázs 42Men132M 13211:0000:00:0302:04:23.8002:04:27.11+00:27:50 (22.4%)13:494.3 (76.8%)
16KUN Sebastian 211Men140M 14011:0000:00:0202:06:12.1502:06:14.29+00:29:38 (23.5%)14:014.3 (76.8%)
17ANTAL Norbert 5Men147M 14711:0000:00:0202:07:48.1502:07:50.20+00:31:14 (24.5%)14:124.2 (75.0%)
18HORVÁTH Gergő 141Men164M 16411:0000:00:0302:10:07.9902:10:11.83+00:33:34 (25.8%)14:274.1 (73.2%)
19SRAJBER Orsolya 336Women18K 1811:0000:00:0302:10:08.5002:10:11.95+00:33:35 (25.8%)14:274.1 (73.2%)
20SIPOS Rita 331Women20K 2011:0000:00:0202:10:33.4802:10:36.25+00:34:00 (26.0%)14:304.1 (73.2%)
21JURCSÁK Viktor 167Men174M 17411:0000:00:1402:11:51.9002:12:06.23+00:35:18 (26.8%)14:394.1 (73.2%)
22MAYER Gabriella 234Women22K 2211:0000:00:0402:12:01.7702:12:06.71+00:35:28 (26.9%)14:404.1 (73.2%)
23NÉMETH László 275Men178M 17811:0000:00:0302:12:56.7202:13:00.32+00:36:23 (27.4%)14:464.1 (73.2%)
24BARANYAI Ákos 15Men180M 18011:0000:00:0202:13:03.1302:13:05.87+00:36:29 (27.4%)14:474.1 (73.2%)
25MOLNÁR Anna 245Women24K 2411:0000:00:0302:13:05.4702:13:08.65+00:36:32 (27.5%)14:474.1 (73.2%)
26HEGYI Dániel 133Men181M 18111:0000:00:0602:13:07.3002:13:13.88+00:36:34 (27.5%)14:474.1 (73.2%)
27HAJDU Attila 126Men182M 18211:0000:00:0302:13:16.6302:13:19.82+00:36:43 (27.6%)14:484.1 (73.2%)
28KORMOS Bálint 193Women25K 2511:0000:00:0502:13:49.1002:13:54.51+00:37:15 (27.8%)14:524 (71.4%)
29BALOGH Bálint 10Men192M 19211:0000:00:0302:14:18.6602:14:22.62+00:37:45 (28.1%)14:554 (71.4%)
30HORVATH Balint 139Men210M 21011:0000:00:0302:17:23.1002:17:26.50+00:40:49 (29.7%)15:153.9 (69.6%)
31DR. Kónya József 76Men212M 21211:0000:00:1502:17:34.1702:17:49.99+00:41:00 (29.8%)15:173.9 (69.6%)
32SOÓS Árpád 334Men217M 21711:0000:00:1702:19:18.6102:19:36.00+00:42:45 (30.7%)15:283.9 (69.6%)
33HADNAGY-VOLF Mónika Tímea 124Women35K 3511:0000:00:0502:19:53.7002:19:59.23+00:43:20 (31.0%)15:323.9 (69.6%)
34HADNAGY Attila 123Men219M 21911:0000:00:0402:19:57.7802:20:02.65+00:43:24 (31.0%)15:333.9 (69.6%)
35MÁR Nóra 228Women38K 3811:0000:00:0702:21:20.0202:21:27.21+00:44:46 (31.7%)15:423.8 (67.9%)
36GYEBNÁR Krisztián 117Men240M 24011:0000:00:0802:24:06.7602:24:14.85+00:47:33 (33.0%)16:003.7 (66.1%)
37REINHOFFER István 314Men251M 25111:0000:00:0402:24:59.4702:25:04.27+00:48:26 (33.4%)16:063.7 (66.1%)
38NÉMETH Norbert 278Women40K 4011:0000:00:1002:26:31.9302:26:42.63+00:49:58 (34.1%)16:163.7 (66.1%)
39PAPP Ramóna 288Women43K 4311:0000:00:1002:26:34.2302:26:44.37+00:50:01 (34.1%)16:173.7 (66.1%)
40SZŐKÉNÉ Tamás Ildikó 367Women45K 4511:0000:00:0502:27:06.7302:27:12.15+00:50:33 (34.4%)16:203.7 (66.1%)
41SIVADÓ-GÁL Katalin 333Women46K 4611:0000:00:0702:27:53.4602:28:01.21+00:51:20 (34.7%)16:263.7 (66.1%)
42CSÉKI Sándor 59Men260M 26011:0000:00:0702:28:00.8702:28:08.84+00:51:27 (34.8%)16:263.6 (64.3%)
43BOTOS Enikő 47Women49K 4911:0000:00:0402:28:30.6402:28:35.11+00:51:57 (35.0%)16:303.6 (64.3%)
44DÁVID László 69Men267M 26711:0000:00:0702:29:12.9302:29:20.41+00:52:39 (35.3%)16:343.6 (64.3%)
45KÖPCSÉNYI Máté 203Men270M 27011:0000:00:0202:29:27.9402:29:30.62+00:52:54 (35.4%)16:363.6 (64.3%)
46BEKŐ János 26Men275M 27511:0000:00:0402:30:38.8802:30:43.53+00:54:05 (35.9%)16:443.6 (64.3%)
47DR. Kovács Sándor 77Men285M 28511:0000:00:1202:31:32.7502:31:45.11+00:54:59 (36.3%)16:503.6 (64.3%)
48VÁMOSI Máté 395Men288M 28811:0000:00:0702:32:17.1602:32:24.91+00:55:43 (36.6%)16:553.5 (62.5%)
49SZABADOS Tamás 341Men314M 31411:0000:00:0302:37:47.5402:37:50.59+01:01:14 (38.8%)17:313.4 (60.7%)
50SOÓS Gergely 335Men317M 31711:0000:00:1302:39:21.9802:39:35.18+01:02:48 (39.4%)17:423.4 (60.7%)
51RIGÓ Balázs 315Men329M 32911:0000:00:0802:42:26.2802:42:34.42+01:05:53 (40.6%)18:023.3 (58.9%)
52NAGY Gergő 261Men330M 33011:0000:00:0702:42:35.4602:42:43.15+01:06:02 (40.6%)18:043.3 (58.9%)
53DÉVÉNYI Gergely 73Men342M 34211:0000:00:1002:48:43.3602:48:53.42+01:12:10 (42.8%)18:443.2 (57.1%)
54NYESTE Lehel 281Men343M 34311:0000:00:0902:48:43.5302:48:52.61+01:12:10 (42.8%)18:443.2 (57.1%)
55BARÁTH Móder Ignác 18Men352M 35211:0000:00:0602:52:39.2002:52:45.91+01:16:06 (44.1%)19:113.1 (55.4%)
56JUHÀSZ Nikoletta 166Women97K 9711:0000:00:0602:52:40.2902:52:46.71+01:16:07 (44.1%)19:113.1 (55.4%)
57GYEBNÁR Beáta 116Women103K 10311:0000:00:0802:57:49.6802:57:58.35+01:21:16 (45.7%)19:453 (53.6%)
58DR. Németh Nikolett 78Women107K 10711:0000:00:1302:59:05.3102:59:18.45+01:22:32 (46.1%)19:533 (53.6%)
59MÁZI Edina 235Women108K 10811:0000:00:1202:59:07.3902:59:19.74+01:22:34 (46.1%)19:543 (53.6%)
60KULCSÁR Gábor 210Men365M 36511:0000:00:0602:59:30.4602:59:36.94+01:22:57 (46.2%)19:563 (53.6%)
61KODAI Gábor 192Men374M 37411:0000:00:0503:01:16.0603:01:21.68+01:24:42 (46.7%)20:083 (53.6%)
62VINCZE Mónika 417Women115K 11511:0000:00:0403:01:23.6203:01:27.82+01:24:50 (46.8%)20:093 (53.6%)
63MIKLÓS Enikő 240Women116K 11611:0000:00:0403:01:23.7703:01:27.86+01:24:50 (46.8%)20:093 (53.6%)
64DR. Rudas Tamara 79Women120K 12011:0000:00:0503:02:36.5803:02:42.41+01:26:03 (47.1%)20:173 (53.6%)
65FARKAS Anita 86Women121K 12111:0000:00:0603:02:40.1203:02:46.39+01:26:06 (47.1%)20:173 (53.6%)
66JELICS Ágnes 159Women125K 12511:0000:00:0503:03:29.4103:03:34.87+01:26:56 (47.4%)20:232.9 (51.8%)
67VASS Elizabet 404Women133K 13311:0000:00:0903:08:17.4403:08:27.17+01:31:44 (48.7%)20:552.9 (51.8%)
68NÉMETH Gergely Attila 273Men390M 39011:0000:00:0903:08:19.5803:08:29.07+01:31:46 (48.7%)20:552.9 (51.8%)
69GYURCSI Emese 121Women136K 13611:0000:00:0903:08:51.7503:09:01.38+01:32:18 (48.9%)20:592.9 (51.8%)
70CZIKE Alexandra 53Women138K 13811:0000:00:0603:10:13.6703:10:20.02+01:33:40 (49.2%)21:082.8 (50.0%)
71HERCZIG Melinda 137Women139K 13911:0000:00:1203:10:17.8403:10:30.27+01:33:44 (49.3%)21:082.8 (50.0%)
72MILUS Barbara 242Women140K 14011:0000:00:1703:10:36.2303:10:53.54+01:34:03 (49.3%)21:102.8 (50.0%)
73MITRING Anett 243Women141K 14111:0000:00:1703:10:49.8703:11:06.89+01:34:16 (49.4%)21:122.8 (50.0%)
74HEGYI Rita 134Women142K 14211:0000:00:1703:10:56.9503:11:14.80+01:34:23 (49.4%)21:132.8 (50.0%)
75FÜLÖP Orsolya 103Women143K 14311:0000:00:0903:11:05.0203:11:14.44+01:34:31 (49.5%)21:132.8 (50.0%)
76HORVÁTH Róbert 147Men392M 39211:0000:00:1003:11:07.8003:11:17.93+01:34:34 (49.5%)21:142.8 (50.0%)
77PESTHY Péter 295Men394M 39411:0000:00:0903:11:56.8003:12:05.81+01:35:23 (49.7%)21:192.8 (50.0%)
78PESTHY Panna 294Women145K 14511:0000:00:0803:11:58.0203:12:06.20+01:35:24 (49.7%)21:192.8 (50.0%)
79BÉRCZI Csaba 29Men395M 39511:0000:00:1403:12:28.4103:12:42.68+01:35:55 (49.8%)21:232.8 (50.0%)
80MUKK Eszter 255Women146K 14611:0000:00:1303:12:30.8603:12:44.38+01:35:57 (49.8%)21:232.8 (50.0%)
81VÉGH Mária 405Women162K 16211:0000:00:1403:19:19.5503:19:33.63+01:42:46 (51.6%)22:082.7 (48.2%)
82GYULAI Dóra Anna 120Women176K 17611:0000:00:1103:24:16.5103:24:27.72+01:47:43 (52.7%)22:412.6 (46.4%)
83FEKETE Barnabás 93Men411M 41111:0000:00:0003:24:25.8003:24:25.80+01:47:52 (52.8%)22:422.6 (46.4%)
84ZIMMERMANN Olivér 424Men413M 41311:0000:00:0903:35:18.2903:35:27.57+01:58:45 (55.2%)23:552.5 (44.6%)
85DR Varsányi Éva 75Women180K 18011:0000:00:0903:35:29.4703:35:39.24+01:58:56 (55.2%)23:562.5 (44.6%)
86KERTÉSZ Zoltán 178Men414M 41411:0000:00:0003:35:39.2703:35:39.27+01:59:06 (55.2%)23:572.5 (44.6%)
Znaleziono 86 wynik(ów)