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
        
1TAKÁCS Dániel 371Men21M 2109:4500:00:0301:35:36.8601:35:40.65 10:375.6 (100%)
2SCHENEK Dániel 322Men27M 2709:4500:00:0201:38:06.2701:38:09.02+00:02:29 (2.5%)10:545.5 (98.2%)
3MÜLLNER Péter 258Men39M 3909:4500:00:0601:41:49.4801:41:56.48+00:06:12 (6.1%)11:185.3 (94.6%)
4BEZZEG Sebastian 34Men44M 4409:4500:00:0001:44:04.4401:44:04.44+00:08:27 (8.1%)11:335.2 (92.9%)
5JAKAB Richárd 155Men50M 5009:4500:00:0901:46:11.9301:46:21.19+00:10:35 (10.0%)11:485.1 (91.1%)
6HENN Lőrinc 135Men69M 6909:4500:00:0701:50:44.3601:50:51.65+00:15:07 (13.7%)12:184.9 (87.5%)
7HALÁSZ Csaba Olivér 128Men78M 7809:4500:00:0301:51:38.1501:51:41.72+00:16:01 (14.4%)12:244.8 (85.7%)
8HOMOLYA Balázs 138Men85M 8509:4500:00:0201:52:42.5601:52:45.46+00:17:05 (15.2%)12:314.8 (85.7%)
9KOSIK János 194Men89M 8909:4500:00:0401:53:23.5001:53:27.69+00:17:46 (15.7%)12:354.8 (85.7%)
10ÓDOR Tihamėr 283Men90M 9009:4500:00:0301:53:33.1701:53:36.27+00:17:56 (15.8%)12:374.8 (85.7%)
11DARIDA Martin 433Men100M 10009:4500:00:0501:56:07.6801:56:13.36+00:20:30 (17.7%)12:544.6 (82.1%)
12DR. Szabó Krisztián 80Men109M 10909:4500:00:0401:58:22.7301:58:27.02+00:22:45 (19.2%)13:094.6 (82.1%)
13SZABÓ Szilárd 345Men113M 11309:4500:00:0301:59:17.1301:59:20.34+00:23:40 (19.8%)13:154.5 (80.4%)
14KRESKAI Gábor 208Men114M 11409:4500:00:0402:00:19.8402:00:24.61+00:24:42 (20.5%)13:224.5 (80.4%)
15RADYK Richárd 313Men115M 11509:4500:00:0402:00:24.5802:00:28.82+00:24:47 (20.6%)13:224.5 (80.4%)
16SZALAY Tamás 352Men116M 11609:4500:00:0502:00:28.1202:00:34.05+00:24:51 (20.6%)13:234.5 (80.4%)
17BERTALAN Csaba 32Men134M 13409:4500:00:1202:04:55.6602:05:07.85+00:29:18 (23.5%)13:524.3 (76.8%)
18NÉMETH Béla 271Men135M 13509:4500:00:0502:05:00.9802:05:06.29+00:29:24 (23.5%)13:534.3 (76.8%)
19MOLNÁRNÉ Szendrei Judit 252Women16K 1609:4500:00:0302:06:05.6902:06:09.33+00:30:28 (24.2%)14:004.3 (76.8%)
20HORVÁTH Péter 146Men142M 14209:4500:00:0002:06:19.0202:06:19.02+00:30:42 (24.3%)14:024.3 (76.8%)
21SÁRAI Csaba 318Men144M 14409:4500:00:0402:07:08.8502:07:13.73+00:31:31 (24.8%)14:074.2 (75.0%)
22NAGY Márton 263Men152M 15209:4500:00:0502:08:15.6302:08:21.47+00:32:38 (25.5%)14:154.2 (75.0%)
23SZAKÁL Péter 349Men153M 15309:4500:00:0602:08:22.7202:08:29.00+00:32:45 (25.5%)14:154.2 (75.0%)
24CSERNYIK Szabolcs 60Men166M 16609:4500:00:0002:10:44.5202:10:44.52+00:35:07 (26.9%)14:314.1 (73.2%)
25SZALAI Bálint 350Men188M 18809:4500:00:0002:13:58.0002:13:58.00+00:38:21 (28.6%)14:534 (71.4%)
26TŐKE Albin 390Men194M 19409:4500:00:0602:14:54.9002:15:01.43+00:39:18 (29.1%)14:594 (71.4%)
27SCHÖNHER András 325Men203M 20309:4500:00:0702:16:00.0902:16:07.31+00:40:23 (29.7%)15:064 (71.4%)
28DOMONKOS Dávid 74Men204M 20409:4500:00:1102:16:23.3902:16:35.16+00:40:46 (29.9%)15:094 (71.4%)
29MOLNÁR Henrietta 247Women30K 3009:4500:00:1102:16:26.3202:16:37.42+00:40:49 (29.9%)15:094 (71.4%)
30CSÁK Tibor 55Men209M 20909:4500:00:0602:17:17.4102:17:23.98+00:41:40 (30.4%)15:153.9 (69.6%)
31TIBOR Ákos 378Men252M 25209:4500:00:0802:25:46.0702:25:54.31+00:50:09 (34.4%)16:113.7 (66.1%)
32PERGER Gábor 292Men257M 25709:4500:00:0202:27:48.1002:27:50.88+00:52:11 (35.3%)16:253.7 (66.1%)
33NÉMETH Nárcisz 276Women50K 5009:4500:00:0802:28:32.5502:28:41.25+00:52:55 (35.6%)16:303.6 (64.3%)
34BADÓ Viktor 7Men271M 27109:4500:00:0502:29:35.9902:29:41.77+00:53:59 (36.1%)16:373.6 (64.3%)
35PUSKÁS Csaba 308Men272M 27209:4500:00:0802:29:39.7002:29:48.67+00:54:02 (36.1%)16:373.6 (64.3%)
36BERTA Marcell 31Men273M 27309:4500:00:0702:30:23.9302:30:31.54+00:54:47 (36.4%)16:423.6 (64.3%)
37VERES Zsolt 413Men274M 27409:4500:00:0802:30:24.6502:30:32.80+00:54:47 (36.4%)16:423.6 (64.3%)
38JÓNÁS Krisztián 162Men294M 29409:4500:00:0902:33:52.9602:34:01.96+00:58:16 (37.9%)17:053.5 (62.5%)
39JÓNÁSNÉ V. Tímea 164Women59K 5909:4500:00:0902:33:53.3002:34:02.70+00:58:16 (37.9%)17:053.5 (62.5%)
40BALOGH Miklós 13Men299M 29909:4500:00:1002:34:11.6602:34:22.50+00:58:34 (38.0%)17:083.5 (62.5%)
41BALOGH Róbert 14Men300M 30009:4500:00:1102:34:13.1202:34:24.16+00:58:36 (38.0%)17:083.5 (62.5%)
42KOVÁCS Alexandra 196Women61K 6109:4500:00:0502:34:50.9102:34:56.46+00:59:14 (38.3%)17:123.5 (62.5%)
43CSALÁDI Zsolt 57Men302M 30209:4500:00:0402:34:55.0402:34:59.85+00:59:18 (38.3%)17:123.5 (62.5%)
44PRÉPOST Krisztián 304Men303M 30309:4500:00:0502:34:56.2702:35:01.52+00:59:19 (38.3%)17:123.5 (62.5%)
45HORVÁTH Zsanett 150Women62K 6209:4500:00:0702:36:41.6702:36:48.82+01:01:04 (39.0%)17:243.4 (60.7%)
46KLAUZER Zsoltné 187Men311M 31109:4500:00:0702:36:42.6102:36:49.93+01:01:05 (39.0%)17:243.4 (60.7%)
47SZÜCSNÉ Tamics Hajnalka 370Women63K 6309:4500:00:0702:36:47.1002:36:54.15+01:01:10 (39.0%)17:253.4 (60.7%)
48PAYRITSNÉ Szabó Mónika 290Women64K 6409:4500:00:1002:37:18.2402:37:29.00+01:01:41 (39.2%)17:283.4 (60.7%)
49PAPPNÉ Somodi Ágnes 289Women69K 6909:4500:00:0802:39:54.2302:40:02.48+01:04:17 (40.2%)17:463.4 (60.7%)
50PRINCES Szilveszter 306Men338M 33809:4500:00:0302:47:05.1502:47:08.35+01:11:28 (42.8%)18:333.2 (57.1%)
51MOLNÁR Anikó 244Women79K 7909:4500:00:0302:47:05.5002:47:09.04+01:11:28 (42.8%)18:343.2 (57.1%)
52SZENTE Márk 361Men359M 35909:4500:00:1202:57:09.2402:57:21.77+01:21:32 (46.0%)19:413 (53.6%)
53PETHŐ András 296Men361M 36109:4500:00:0902:58:18.8402:58:28.65+01:22:41 (46.4%)19:483 (53.6%)
54CSORDÁS Judit 63Women105K 10509:4500:00:0902:58:19.4002:58:29.01+01:22:42 (46.4%)19:483 (53.6%)
55CZAGA Mária 51Women110K 11009:4500:00:0402:59:55.3502:59:59.51+01:24:18 (46.9%)19:593 (53.6%)
56SIMONNÉ Kormányos Erika 329Women134K 13409:4500:00:0903:08:20.5103:08:30.15+01:32:43 (49.2%)20:552.9 (51.8%)
57ZIMBRU Andrea 423Women148K 14809:4500:00:1303:13:10.1803:13:23.88+01:37:33 (50.5%)21:272.8 (50.0%)
58MALLER László 226Men400M 40009:4500:00:1303:13:11.5803:13:25.36+01:37:34 (50.5%)21:282.8 (50.0%)
59VETŐ Zsuzsanna 414Women184K 18409:4500:00:1203:42:21.9703:42:34.66+02:06:45 (57.0%)24:422.4 (42.9%)
60SCHIHLGRUBER János 323Men417M 41709:4500:00:1103:42:22.8203:42:33.84+02:06:45 (57.0%)24:422.4 (42.9%)
61PIATKÓ Zsolt 297Men418M 41809:4500:00:1103:42:25.6603:42:36.88+02:06:48 (57.0%)24:422.4 (42.9%)
62KOVÁCS Bálint 197Men420M 42009:4500:00:0403:58:32.4303:58:37.16+02:22:55 (59.9%)26:302.3 (41.1%)
63STEININGER Zoltán 338Men423M 42309:4500:00:0605:23:03.8005:23:10.00+03:47:26 (70.4%)35:531.7 (30.4%)
64PERGER Robert 293Men425M 42509:4500:00:02   (0.0%)
Znaleziono 64 wynik(ów)