IV.SZERELMES FÜRED - 7KM
IV.Szerelmes Füred
Organizator : Watchman
Data : 2019-02-17
Miejsce : Hungary, Balatonfüred
Dystans : 7 km
Zgłoszonych : 76
Wystartowało : 67
Nie ukończyło : 0
Ukończyło : 67
Na trasie : 0
Wyniki PDF :
Klasyfikacje w punktach pomiarowych: Start | 3.5km | Meta
Klasyfikacje wg kategorii: Wszyscy | Women | Men
Klasyfikacja wg czasu netto. Wyniki nieoficjalne !!!
MscZawodnikNumerKlubMiejscowośćKrajKategoriaMkatK/MCzas startuFinish_All
3.5km
Czas
netto
7km
Czas
brutto
7km
Różnica
w czasie
Tempo
min/km
Tempo
km/h
        
1MÁLICS Hajnalka 1038Women1K 100:00:0300:15:1800:31:43.8100:31:47.15 4:3213.2 (100%)
2SÖVEGJÁRTÓ Etele 1048Men1M 100:00:0400:16:3900:33:27.6300:33:31.87+00:01:43 (5.2%)4:4612.6 (95.5%)
3EISERLE Judit 1002Women2K 200:00:0300:16:1700:33:34.3700:33:37.71+00:01:50 (5.5%)4:4712.5 (94.7%)
4HORVÁTH János 1027Men2M 200:00:0500:16:4700:33:46.5400:33:51.93+00:02:02 (6.1%)4:4912.4 (93.9%)
5LENNERT Olgi 1014Women3K 300:00:0300:16:4100:34:28.2500:34:31.60+00:02:44 (8.0%)4:5512.2 (92.4%)
6TÓTH Sándor 1001Men3M 300:00:0300:16:4500:34:32.6100:34:35.96+00:02:48 (8.1%)4:5612.2 (92.4%)
7BORBÁS Barnabás 1005Men4M 400:00:0800:17:4700:37:05.9800:37:14.80+00:05:22 (14.5%)5:1811.3 (85.6%)
8HORVÁTH Csaba 1079Men5M 500:00:0500:18:0400:37:17.3300:37:22.57+00:05:33 (14.9%)5:1911.3 (85.6%)
9BOZZAY Barna 1050Men6M 600:00:1000:18:5000:38:06.5400:38:17.18+00:06:22 (16.7%)5:2611 (83.3%)
10FÁBRI László 1070Men7M 700:00:0500:18:5300:38:17.7600:38:22.87+00:06:33 (17.1%)5:2811 (83.3%)
11BARICS Irén 1073Women4K 400:00:0300:18:2000:38:19.2900:38:22.63+00:06:35 (17.2%)5:2811 (83.3%)
12SIMON András 1044Men8M 800:00:0900:18:5900:38:31.7700:38:41.75+00:06:47 (17.6%)5:3010.9 (82.6%)
13SCHALDA János 1008Men9M 900:00:0800:18:5300:38:38.1100:38:46.43+00:06:54 (17.9%)5:3110.9 (82.6%)
14BOGOS Zoltán 1076Men10M 1000:00:1000:18:5900:39:40.5800:39:51.58+00:07:56 (20.0%)5:4010.6 (80.3%)
15SZOMJASI Bernadett 1041Women5K 500:00:0900:19:4000:39:53.4800:40:02.69+00:08:09 (20.5%)5:4110.5 (79.5%)
16HORVÁTH Gábor 1031Men11M 1100:00:0600:19:0100:39:58.5900:40:04.70+00:08:14 (20.6%)5:4210.5 (79.5%)
17JUNG Tibor 1037Men12M 1200:00:0600:20:0900:40:08.4900:40:14.73+00:08:24 (21.0%)5:4410.5 (79.5%)
18BRENDEL Mónika 1061Women6K 600:00:0800:19:4700:40:38.9100:40:47.59+00:08:55 (21.9%)5:4810.3 (78.0%)
19BÁNFAI Beáta 1066Women7K 700:00:1000:20:2100:41:05.1200:41:15.42+00:09:21 (22.8%)5:5210.2 (77.3%)
20LUKÁCS László 1075Men13M 1300:00:1300:20:1500:41:32.7700:41:46.43+00:09:48 (23.6%)5:5610.1 (76.5%)
21KÁRPÁTI Szabina 1074Women8K 800:00:1300:20:1500:41:33.4400:41:46.58+00:09:49 (23.6%)5:5610.1 (76.5%)
22KOVÁCS Zsolt 1015Men14M 1400:00:0700:20:4000:41:47.2000:41:54.95+00:10:03 (24.1%)5:5810.1 (76.5%)
23TÓTH Ákos 1077Men15M 1500:00:1000:19:5400:42:15.7400:42:26.66+00:10:31 (24.9%)6:029.9 (75.0%)
24JÁSZVÁRINÉ Masszi Barbara 1064Women9K 900:00:1000:20:3600:42:31.4000:42:42.04+00:10:47 (25.4%)6:049.9 (75.0%)
25JÁSZVÁRI András 1063Men16M 1600:00:0900:21:0400:42:48.6700:42:58.55+00:11:04 (25.9%)6:079.8 (74.2%)
26SZABÓ Roland 1024Men17M 1700:00:0600:22:1900:43:02.8000:43:09.54+00:11:18 (26.3%)6:099.8 (74.2%)
27GOLARITSNÉ Richter Bernadett 1018Women10K 1000:00:0400:21:2100:43:03.5500:43:08.33+00:11:19 (26.3%)6:099.8 (74.2%)
28SOÓR Anita 1020Women11K 1100:00:0900:21:0000:43:12.7100:43:22.02+00:11:28 (26.6%)6:109.7 (73.5%)
29BALOGH Krisztina 1016Women12K 1200:00:0500:20:5500:43:22.3300:43:28.06+00:11:38 (26.8%)6:119.7 (73.5%)
30SZAKÁL Dániel 1051Men18M 1800:00:1100:21:0500:43:37.7500:43:49.16+00:11:53 (27.3%)6:149.6 (72.7%)
31KOVÁCS Renáta 1003Women13K 1300:00:0700:20:4100:43:38.7200:43:45.87+00:11:54 (27.3%)6:149.6 (72.7%)
32FÖLDESI József 1040Men19M 1900:00:0300:21:1500:43:54.3300:43:58.22+00:12:10 (27.7%)6:169.6 (72.7%)
33SZÛCS Hajnalka 1039Women14K 1400:00:0300:21:1500:43:54.5700:43:58.39+00:12:10 (27.7%)6:169.6 (72.7%)
34BOROS Mária Nóra 1078Women15K 1500:00:0600:21:4100:44:06.8800:44:13.50+00:12:23 (28.1%)6:189.5 (72.0%)
35VÖRÖS Zoltán 1030Men20M 2000:00:0700:21:3600:44:10.3300:44:18.07+00:12:26 (28.2%)6:189.5 (72.0%)
36PIUKOVICS Tímea 1058Women16K 1600:00:1100:21:4800:44:40.3600:44:51.93+00:12:56 (29.0%)6:229.4 (71.2%)
37STRENNER Andrea 1026Women17K 1700:00:0400:21:3800:45:16.7300:45:21.42+00:13:32 (29.9%)6:289.3 (70.5%)
38HIDEGNÉ László Andrea 1068Women18K 1800:00:0300:22:2600:45:29.5000:45:33.33+00:13:45 (30.3%)6:309.2 (69.7%)
39FATIMA Ellialtioglu 1009Women19K 1900:00:0800:22:0800:45:32.8000:45:41.11+00:13:48 (30.3%)6:309.2 (69.7%)
40BUJTÁSNÉ Tóth Erzsébet 1019Women20K 2000:00:0700:22:1200:45:36.1300:45:43.65+00:13:52 (30.4%)6:309.2 (69.7%)
41ULRICH Gábor 2222Men21M 2100:00:0700:22:1300:45:36.3300:45:43.79+00:13:52 (30.4%)6:309.2 (69.7%)
42PUSKÁS Szilvia 1023Women21K 2100:00:0700:22:1800:45:41.9000:45:49.02+00:13:58 (30.6%)6:319.2 (69.7%)
43KAPOSI Rita 1028Women22K 2200:00:1200:22:4500:45:56.1800:46:08.69+00:14:12 (30.9%)6:339.1 (68.9%)
44KOVÁCS Ildikó 1004Women23K 2300:00:0700:22:2000:46:25.4500:46:32.89+00:14:41 (31.7%)6:379 (68.2%)
45VENCZEL Virág 1047Women24K 2400:00:0400:22:1400:46:52.4300:46:56.92+00:15:08 (32.3%)6:419 (68.2%)
46DOBROVOCZKY István 1042Men22M 2200:00:0300:23:2800:47:00.5900:47:04.52+00:15:16 (32.5%)6:438.9 (67.4%)
47DOBROVOCZKY Kira 1036Women25K 2500:00:0300:23:2800:47:00.6700:47:04.45+00:15:16 (32.5%)6:438.9 (67.4%)
48DOBROVOCZKY Kriszta 1043Women26K 2600:00:0300:23:2700:47:00.7000:47:04.68+00:15:16 (32.5%)6:438.9 (67.4%)
49KATONA Ildikó 1072Women27K 2700:00:0300:21:2800:47:20.8300:47:24.17+00:15:37 (33.0%)6:458.9 (67.4%)
50MÓROCZ Réka 1049Women28K 2800:00:0500:22:4500:47:58.0400:48:03.09+00:16:14 (33.9%)6:518.8 (66.7%)
51BARANYI Andrea 1011Women29K 2900:00:0600:23:0800:48:00.7000:48:06.90+00:16:16 (33.9%)6:518.8 (66.7%)
52BARDOVITS Gábor 1034Men23M 2300:00:0500:22:4300:48:23.9700:48:29.79+00:16:40 (34.4%)6:548.7 (65.9%)
53SABIA-INDI Katalin 1017Women30K 3000:00:0300:22:2100:48:27.4700:48:30.81+00:16:43 (34.5%)6:558.7 (65.9%)
54BOGNÁR Zsuzsanna 1029Women31K 3100:00:1100:23:2400:49:36.5700:49:48.23+00:17:52 (36.0%)7:058.5 (64.4%)
55FEKETE Éva 1056Women32K 3200:00:1000:24:0400:50:23.0400:50:33.07+00:18:39 (37.0%)7:118.3 (62.9%)
56DR. Darázs Barbara 1010Women33K 3300:00:0900:24:0600:50:28.1300:50:37.79+00:18:44 (37.1%)7:128.3 (62.9%)
57AURÓRI-KALÁCSKA Beatrix 1060Women34K 3400:00:0400:23:2200:50:36.2900:50:41.17+00:18:52 (37.3%)7:138.3 (62.9%)
58JÁSZVÁRI Erik 1062Men24M 2400:00:1000:23:5300:51:00.1300:51:10.71+00:19:16 (37.8%)7:178.2 (62.1%)
59BIHARI Eszter 1059Women35K 3500:00:0800:23:4500:52:45.8200:52:54.31+00:21:02 (39.9%)7:328 (60.6%)
60MOLNÁR Marcsi 1013Women36K 3600:00:0800:25:0900:53:33.0500:53:41.84+00:21:49 (40.7%)7:397.8 (59.1%)
61HORVÁTH Adrienn 1012Women37K 3700:00:0800:26:0800:54:59.9900:55:08.94+00:23:16 (42.3%)7:517.6 (57.6%)
62POLGÁR Krisztina 1057Women38K 3800:00:0500:27:1500:55:08.1300:55:13.58+00:23:24 (42.5%)7:527.6 (57.6%)
63KISS Tibor 1046Men25M 2500:00:1000:29:2701:03:36.3801:03:46.53+00:31:52 (50.1%)9:056.6 (50.0%)
64LUKÁCS Ibolya 1045Women39K 3900:00:1000:29:2701:03:36.5101:03:46.63+00:31:52 (50.1%)9:056.6 (50.0%)
65KÉPES Rita 1035Women40K 4000:00:0400:33:0901:08:15.4201:08:20.14+00:36:31 (53.5%)9:456.2 (47.0%)
66BODNÁRNÉ Fiser Mónika 1054Women41K 4100:00:1200:35:0001:12:53.3301:13:05.51+00:41:09 (56.5%)10:245.8 (43.9%)
67HAJDUKOVICS Péterné 1055Women42K 4200:00:1100:35:0201:12:54.6601:13:06.49+00:41:10 (56.5%)10:255.8 (43.9%)
Znaleziono 67 wynik(ów)