Marcialonga 2014 Age & Gender handicaps

Sunday, January 26, 2014 08:00 (GMT+1) - Final results

Race info
Sport: Skiing - cross-country
Location: Cavalese, Italy
Start type: Mass start
Racers: 139
Handicap: Age- & gender-graded
Timed on: Notepad
Timed with: Other software
Updated: Tuesday, February 11, 2014 00:11 (GMT+1)
Race notes
Finish times adjusted using age-based running-records compiled by Allan Jones & others - see http://www.wcchallenge.org/age_grading.htm.

Female times further adjusted by a ratio of male/female records for each age.

To see the actual finish times, click on a green category link, then click on the "Adjusted time" drop-down and choose "Finish time".

To see the handicap values used to multiply the "Finish time" to arrive at the "Adjusted time", click on the "Difference" drop-down and choose "Handicap".
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Place (adjusted) Bib Name Affiliation Category Age Gender
1-BONER SerainaSUI-DAVOS PLATZ 30-3932F 3:09:35.3--100%44.90%44.91%0.906964.85%
2-NYSTROEM SusanneSWE-MORA 30-3932F 3:15:57.9+6:22.6+3.36%96.75%43.05%43.06%0.906962.74%
3-ROTCHEVA OlgaRUS-TYUMEN 30-3936F 3:17:11.2+7:35.9+4.01%96.15%42.70%42.71%0.898262.35%
4-JAMBAEVA TatianaRUS-MOSCOW 30-3934F 3:19:57.6+10:22.3+5.47%94.81%41.89%41.90%0.903761.49%
5-ROBERTO KristinaSWE-UPPSALA 30-3930F 3:20:33.9+10:58.6+5.79%94.53%41.71%41.72%0.907961.30%
6-ZERNOVA NataliaRUS-MOSCOW 30-3938F 3:22:30.5+12:55.2+6.81%93.62%41.15%41.16%0.890560.71%
7-BRAATHEN SolfridNOR-HAGAN 30-3932F 3:23:10.9+13:35.6+7.17%93.31%40.95%40.96%0.906960.51%
8-LINTZEN NinaSWE-LULEA 30-3936F 3:23:57.3+14:22.0+7.58%92.96%40.73%40.74%0.898260.28%
9-SIKANEN SatuFIN-VEHKATAIPALE 30-3937F 3:36:48.7+27:13.4+14.36%87.44%36.99%37.00%0.894756.71%
10-BOHMOVA EvaCZE-LIBEREC 30-3931F 3:49:49.4+40:14.1+21.22%82.49%33.21%33.22%0.907853.50%
11-SVARTEDAL TrudeNOR-LOMMEDALEN 30-3938F 3:54:10.0+44:34.7+23.51%80.96%31.95%31.96%0.890552.50%
12-FELDERER BarbaraSAN MARTINO IN CASIES BZ 30-3934F 3:54:18.7+44:43.4+23.59%80.91%31.91%31.92%0.903752.47%
13-JOBS Anna SofiaSWE-LUND 30-3932F 4:11:04.2+1:01:28.9+32.43%75.51%27.04%27.05%0.906948.97%
14-LIMBY JennySWE-MORA 30-3937F 4:13:21.8+1:03:46.5+33.64%74.83%26.37%26.38%0.894748.53%
15-MESSENGER KarenCAN-Canmore, Alberta 30-3935F 4:15:29.8+1:05:54.5+34.76%74.20%25.75%25.76%0.901248.12%
16-GUSTAFSSON LinaSWE-HAGERSTEN 30-3931F 4:15:56.9+1:06:21.6+35.00%74.07%25.62%25.63%0.907848.04%
17-MAZZEL AriannaCANAZEI TN 30-3937F 4:17:45.9+1:08:10.6+35.96%73.55%25.09%25.10%0.894747.70%
18-PERSSON JeanetteNOR-NITTEDAL 30-3933F 4:19:59.1+1:10:23.8+37.13%72.92%24.45%24.46%0.905647.29%
19-RAFEN-SPARBY BenteNOR-HASLUM 30-3938F 4:22:33.2+1:12:57.9+38.49%72.21%23.70%23.71%0.890546.83%
20-VIGEN TheaNOR-OSLO 30-3936F 4:24:26.4+1:14:51.1+39.48%71.69%23.15%23.16%0.898246.49%
21-ERIKSSON CarolaSWE-DJURSHOLM 30-3933F 4:25:09.8+1:15:34.5+39.86%71.50%22.94%22.95%0.905646.37%
22-HAGGBLOM KristinaSWE-GOTENE 30-3934F 4:25:10.4+1:15:35.1+39.87%71.50%22.94%22.95%0.903746.37%
23-BERNARDINI IlariaPREDAZZO TN 30-3932F 4:26:14.2+1:16:38.9+40.43%71.21%22.63%22.64%0.906946.18%
24-CARLSTEIN MagdalenaSWE-LIDINGO 30-3937F 4:26:42.2+1:17:06.9+40.67%71.09%22.49%22.51%0.894746.10%
25-TESSARO MichelaBRONZOLO BZ 30-3936F 4:28:14.1+1:18:38.8+41.48%70.68%22.05%22.06%0.898245.84%
26-NILSSON JohannaSWE-BONES 30-3939F 4:28:35.1+1:18:59.8+41.67%70.59%21.95%21.96%0.885945.78%
27-HJORTH Siri SolvangNOR-OSLO 30-3931F 4:35:35.3+1:26:00.0+45.36%68.79%19.91%19.93%0.907844.62%
28-KITZMUELLER MonikaAUT-HASLACH 30-3932F 4:37:11.8+1:27:36.5+46.21%68.39%19.44%19.46%0.906944.35%
29-HUSBY KjerstiNOR-ASEN 30-3935F 4:39:25.0+1:29:49.7+47.38%67.85%18.80%18.81%0.901244.00%
30-BRUVOLL KariNOR-OSLO 30-3930F 4:39:56.5+1:30:21.2+47.66%67.72%18.65%18.66%0.907943.92%
31-PRYTZ AudhildNOR-BODOE 30-3930F 4:40:27.0+1:30:51.7+47.93%67.60%18.50%18.51%0.907943.84%
32-FRIBERG MargretheNOR-SKIEN 30-3932F 4:40:28.9+1:30:53.6+47.94%67.59%18.49%18.50%0.906943.83%
33-TANGEN Margarete VonNOR-OSLO 30-3933F 4:44:54.3+1:35:19.0+50.28%66.54%17.20%17.22%0.905643.16%
34-HAASKJOLD IngridNOR-OSLO 30-3931F 4:44:55.4+1:35:20.1+50.29%66.54%17.20%17.21%0.907843.15%
35-BJERVA MarianneNOR-OSLO 30-3935F 4:45:52.9+1:36:17.6+50.79%66.32%16.92%16.93%0.901243.01%
36-KATLAPA LindaLAT-RIGA 30-3938F 4:46:13.0+1:36:37.7+50.97%66.24%16.82%16.84%0.890542.96%
37-GLOMSROD HeddaNOR-GAMLE FREDRIKSTAD 30-3937F 4:47:55.7+1:38:20.4+51.87%65.85%16.33%16.34%0.894742.70%
38-EKELIN ElsaSWE-OREBRO 30-3937F 4:48:05.7+1:38:30.4+51.96%65.81%16.28%16.29%0.894742.68%
39-LOFGREN PernillaSWE-SUNDSVALL 30-3938F 4:48:24.3+1:38:49.0+52.12%65.74%16.19%16.20%0.890542.63%
40-LUNDBLAD LeneNOR-OSLO 30-3938F 4:50:56.7+1:41:21.4+53.46%65.16%15.45%15.46%0.890542.26%
41-HAUGERUD Rebecka HeleneNOR-SVENE 30-3933F 4:52:50.5+1:43:15.2+54.46%64.74%14.90%14.91%0.905641.99%
42-MUUR MerlinEST-VALGAMAA 30-3935F 4:56:42.8+1:47:07.5+56.50%63.90%13.77%13.79%0.901241.44%
43-MUMME MerikeEST-TALLINN 30-3939F 4:59:00.1+1:49:24.8+57.71%63.41%13.11%13.12%0.885941.12%
44-VANZO AnnaMASI DI CAVALESE TN 30-3935F 5:03:49.7+1:54:14.4+60.26%62.40%11.71%11.72%0.901240.47%
45-MORBIN ElisaCOLFOSCO TV 30-3931F 5:04:22.7+1:54:47.4+60.55%62.29%11.55%11.56%0.907840.40%
46-BONELLI MartinaCARANO TN 30-3934F 5:07:49.6+1:58:14.3+62.37%61.59%10.54%10.56%0.903739.94%
47-ERIKSEN Camilla BjerkeNOR-OSLO 30-3939F 5:09:47.4+2:00:12.1+63.40%61.20%9.97%9.99%0.885939.69%
48-SOHLBERG Yvonne LundeNOR-SNAROYA 30-3939F 5:10:53.0+2:01:17.7+63.98%60.98%9.65%9.67%0.885939.55%
49-PIAZZI SilviaZIANO DI FIEMME TN 30-3931F 5:12:49.1+2:03:13.8+65.00%60.61%9.09%9.11%0.907839.31%
50-NIPE MarianneNOR-OSLO 30-3938F 5:14:05.1+2:04:29.8+65.67%60.36%8.72%8.74%0.890539.15%
51-MOEN RubiNOR-HAGAN 30-3938F 5:16:48.1+2:07:12.8+67.10%59.84%7.93%7.95%0.890538.81%
52-FRACASSI FrancescaMILANO MI 30-3936F 5:18:29.5+2:08:54.2+67.99%59.53%7.44%7.46%0.898238.60%
53-FRANZEN AsaSWE-SLEPENDEN 30-3933F 5:18:52.2+2:09:16.9+68.19%59.46%7.33%7.35%0.905638.56%
54-OESEBAK GuroNOR-OSLO 30-3935F 5:19:46.4+2:10:11.1+68.67%59.29%7.07%7.09%0.901238.45%
55-DI NUCCI LauraISERNIA IS 30-3936F 5:20:37.6+2:11:02.3+69.12%59.13%6.82%6.84%0.898238.35%
56-CHELODI HeidiCAVALESE TN 30-3933F 5:21:39.6+2:12:04.3+69.66%58.94%6.52%6.54%0.905638.22%
57-TUOMISTO ElisaFIN-TAMPERE 30-3935F 5:22:05.2+2:12:29.9+69.89%58.86%6.40%6.42%0.901238.17%
58-FROYLAND HOEL HildeNOR-OSLO 30-3935F 5:25:51.8+2:16:16.5+71.88%58.18%5.30%5.32%0.901237.73%
59-PILLER HOFFER MartinaSAPPADA BL 30-3932F 5:26:14.9+2:16:39.6+72.08%58.11%5.19%5.21%0.906937.68%
60-VOLE MagnhildNOR-VAGA 30-3938F 5:29:28.4+2:19:53.1+73.78%57.54%4.25%4.27%0.890537.32%
61-SEEM IngunnNOR-TRONDHEIM 30-3930F 5:31:58.8+2:22:23.5+75.11%57.11%3.52%3.54%0.907937.03%
62-MENEFOGLIO AnitaMARZIO VA 30-3931F 5:32:36.8+2:23:01.5+75.44%57.00%3.34%3.36%0.907836.97%
63-PIAZZI NatalieTESERO TN 30-3935F 5:33:56.6+2:24:21.3+76.14%56.77%2.95%2.97%0.901236.82%
64-GUNER JohannaSWE-STOCKOLM 30-3935F 5:34:16.4+2:24:41.1+76.32%56.72%2.86%2.87%0.901236.78%
65-VANZO VeronicaMASI DI CAVALESE TN 30-3938F 5:38:31.8+2:28:56.5+78.56%56.00%1.62%1.64%0.890536.32%
66-PEYROT SoniaSAN GERMANO CHISONE TO 30-3938F 5:41:28.4+2:31:53.1+80.11%55.52%0.77%0.78%0.890536.01%
67-BERTONI ElenaBRENTONICO TN 30-3932F 5:42:36.3+2:33:01.0+80.71%55.34%0.44%0.45%0.906935.89%
68-JUELL GabrielleNOR-OSLO 30-3933F 5:43:35.2+2:33:59.9+81.23%55.18%0.15%0.17%0.905635.79%
69-BJERKELY NinaNOR-OSLO 30-3933F 5:43:40.2+2:34:04.9+81.27%55.17%0.13%0.14%0.905635.78%
70-PALOMBO AnnikaSUI-PONTRESINA 30-3935F 5:44:09.9+2:34:34.6+81.53%55.09%-0.02%0.00%0.901235.72%
71-KALTENBORN Cecilie RNOR-HOSLE 30-3938F 5:44:31.0+2:34:55.7+81.72%55.03%-0.12%-0.10%0.890535.69%
72-BONELLI PatriziaCARANO TN 30-3939F 5:46:05.9+2:36:30.6+82.55%54.78%-0.58%-0.56%0.885935.53%
73-VIK IngvildNOR-OSLO 30-3937F 5:49:36.0+2:40:00.7+84.40%54.23%-1.60%-1.58%0.894735.17%
74-BERGENE AnnaNOR-OSLO 30-3932F 5:49:39.4+2:40:04.1+84.43%54.22%-1.61%-1.60%0.906935.16%
75-SORBOEN KarianneNOR-AAL 30-3939F 5:51:59.6+2:42:24.3+85.66%53.86%-2.29%-2.27%0.885934.93%
76-KVERNELAND Liv AnnikeNOR-OSLO 30-3936F 5:53:02.1+2:43:26.8+86.21%53.70%-2.59%-2.58%0.898234.83%
77-BONELLI RobertaCARANO TN 30-3934F 5:53:09.1+2:43:33.8+86.27%53.68%-2.63%-2.61%0.903734.82%
78-STENTOFT ANNESDOTTER Tove KlarSWE-OSLO 30-3930F 5:53:46.1+2:44:10.8+86.60%53.59%-2.81%-2.79%0.907934.75%
79-PRIMUS AlessandraTIMAU UD 30-3939F 5:58:50.1+2:49:14.8+89.27%52.83%-4.28%-4.26%0.885934.26%
80-NEUHOLD AnettNOR-OSLO 30-3936F 6:00:57.9+2:51:22.6+90.39%52.52%-4.90%-4.88%0.898234.06%
81-HAEGG Toll MalinSWE-SKOVDE 30-3939F 6:01:10.6+2:51:35.3+90.51%52.49%-4.96%-4.94%0.885934.04%
82-SIREVAAG Ellen MarieNOR-OSLO 30-3939F 6:02:01.6+2:52:26.3+90.95%52.37%-5.21%-5.19%0.885933.96%
83-DELVAI MichelaCARANO TN 30-3934F 6:02:16.1+2:52:40.8+91.08%52.33%-5.28%-5.26%0.903733.94%
84-PERSSON HelenaSWE-BORAS 30-3931F 6:02:45.1+2:53:09.8+91.34%52.26%-5.42%-5.40%0.907833.90%
85-LIDSTROM AnnaSWE-GENEVE-1207 30-3930F 6:03:51.9+2:54:16.6+91.92%52.10%-5.74%-5.72%0.907933.79%
86-LEJDSTRAND GerdSWE-OSTERSUND 30-3930F 6:06:42.0+2:57:06.7+93.42%51.70%-6.57%-6.55%0.907933.53%
87-VYSOTSKAYA ZoyaRUS-MOSCOW 30-3937F 6:06:56.2+2:57:20.9+93.54%51.67%-6.63%-6.62%0.894733.51%
88-KROGH SylviaNOR-OSLO 30-3937F 6:08:17.9+2:58:42.6+94.26%51.48%-7.03%-7.01%0.894733.38%
89-MELOY UTSI MaritNOR-KARASJOK 30-3936F 6:08:34.5+2:58:59.2+94.41%51.44%-7.11%-7.09%0.898233.36%
90-SIMSOVA JanaCZE-PRAHA 30-3938F 6:09:01.2+2:59:25.9+94.64%51.38%-7.24%-7.22%0.890533.32%
91-SVENDSGARD EllenNOR-VALNESFJORD 30-3939F 6:09:28.9+2:59:53.6+94.89%51.31%-7.37%-7.36%0.885933.28%
92-HEINRUP MalenaSWE-STOCKHOLM 30-3931F 6:12:18.1+3:02:42.8+96.37%50.92%-8.19%-8.18%0.907833.03%
93-ANNUS EliisEST-TALLINN 30-3931F 6:15:28.8+3:05:53.5+98.05%50.49%-9.12%-9.10%0.907832.75%
94-PRIMUS DanielaTIMAU UD 30-3939F 6:16:17.8+3:06:42.5+98.48%50.38%-9.35%-9.34%0.885932.67%
95-RIPAMONTI MarcellaLISSONE MB 30-3938F 6:17:48.3+3:08:13.0+99.28%50.18%-9.79%-9.77%0.890532.54%
96-KRAUSOVA KamilaCZE-BRNO 30-3938F 6:22:15.8+3:12:40.5+101.63%49.60%-11.09%-11.07%0.890532.16%
97-IVERSEN Eirin IsabelNOR-TROMSO 30-3936F 6:23:16.7+3:13:41.4+102.16%49.46%-11.38%-11.36%0.898232.08%
98-BRAITO AnitaDAIANO TN 30-3931F 6:25:35.6+3:16:00.3+103.38%49.17%-12.06%-12.04%0.907831.89%
99-NORIS LindaSERIATE BG 30-3930F 6:26:30.7+3:16:55.4+103.87%49.05%-12.32%-12.30%0.907931.81%
100-HAAMSOE VibekeNOR-HOMMERSAK 30-3932F 6:26:48.3+3:17:13.0+104.02%49.01%-12.41%-12.39%0.906931.78%
101-SALATER ROTMO HildegunNOR-HOLMESTRAND 30-3939F 6:27:55.0+3:18:19.7+104.61%48.87%-12.73%-12.71%0.885931.70%
102-LOFMAN LinnSWE-VALLINGBY 30-3937F 6:33:05.5+3:23:30.2+107.34%48.23%-14.24%-14.22%0.894731.28%
103-TENDEN Ida LNOR-OSLO 30-3931F 6:33:27.4+3:23:52.1+107.53%48.19%-14.34%-14.32%0.907831.25%
104-SODERSTROM IngridSWE-GOTEBORG 30-3931F 6:34:47.2+3:25:11.9+108.23%48.02%-14.73%-14.71%0.907831.14%
105-GERREMO BOLOYAN CharlottaSWE-PASSY 30-3935F 6:36:09.7+3:26:34.4+108.96%47.86%-15.13%-15.11%0.901231.03%
106-WICKHOLM AsaSWE-TAEBY 30-3939F 6:38:17.1+3:28:41.8+110.08%47.60%-15.74%-15.73%0.885930.87%
107-HALSTENRUD MarianneNOR-MJONDALEN 30-3937F 6:40:03.6+3:30:28.3+111.02%47.39%-16.26%-16.24%0.894730.73%
108-TOLL Corin SofieSWE-VETLANDA 30-3937F 6:41:18.3+3:31:43.0+111.67%47.24%-16.62%-16.60%0.894730.64%
109-MATTEI LuanaPREDAZZO TN 30-3931F 6:43:31.5+3:33:56.2+112.84%46.98%-17.27%-17.25%0.907830.47%
110-LARSSON AnnaSWE-GOTEBORG 30-3936F 6:44:41.0+3:35:05.7+113.45%46.85%-17.60%-17.58%0.898230.38%
111-BEAUDET AmelieGER-BASEL 30-3931F 6:46:15.1+3:36:39.8+114.28%46.67%-18.06%-18.04%0.907830.27%
112-PICCONI GiorgiaCAVALESE TN 30-3934F 6:51:37.7+3:42:02.4+117.12%46.06%-19.62%-19.60%0.903729.87%
113-SIEFF SaraTESERO TN 30-3935F 6:51:41.0+3:42:05.7+117.15%46.05%-19.64%-19.62%0.901229.86%
114-SCHWARTZ MonicaNOR-NAMSOS 30-3937F 6:51:44.7+3:42:09.4+117.18%46.05%-19.66%-19.64%0.894729.86%
115-WIDLUND CharlotteSWE-STOCKHOLM 30-3933F 7:05:56.9+3:56:21.6+124.67%44.51%-23.78%-23.76%0.905628.87%
116-DEL BON MarinaCANALE D'AGORDO BL 30-3930F 7:06:09.1+3:56:33.8+124.78%44.49%-23.84%-23.82%0.907928.85%
117-WALLIN AnnaSWE-VRETA KLOSTER 30-3938F 7:06:36.1+3:57:00.8+125.01%44.44%-23.97%-23.95%0.890528.82%
118-SVENSSON KarinSWE-BORAS 30-3939F 7:06:37.5+3:57:02.2+125.03%44.44%-23.98%-23.96%0.885928.82%
119-ELIASSON JuliaSWE-STOCKHOLM 30-3935F 7:11:41.0+4:02:05.7+127.70%43.92%-25.45%-25.43%0.901228.48%
120-ANDERSSON AsaSWE-ARBOGA 30-3937F 7:12:09.1+4:02:33.8+127.94%43.87%-25.59%-25.57%0.894728.45%
121-PRESCHER SabineGER-HAUSWALDE 30-3937F 7:15:39.6+4:06:04.3+129.79%43.52%-26.61%-26.58%0.894728.22%
122-ZANON MichelaTESERO TN 30-3934F 7:18:16.6+4:08:41.3+131.17%43.26%-27.37%-27.34%0.903728.05%
123-MALFER ElisaRUFFRE' TN 30-3932F 7:20:04.0+4:10:28.7+132.12%43.08%-27.89%-27.87%0.906927.94%
124-SUNDE CamillaNOR-OSLO 30-3936F 7:20:13.4+4:10:38.1+132.20%43.07%-27.93%-27.91%0.898227.93%
125-TRONCHIN SaraPEDEROBBA TV 30-3934F 7:27:44.3+4:18:09.0+136.16%42.34%-30.12%-30.09%0.903727.46%
126-GAZZETTO OriettaFAVARO BI 30-3939F 7:30:28.4+4:20:53.1+137.61%42.09%-30.91%-30.89%0.885927.29%
127-FERRARI FrancescaPREDAZZO TN 30-3931F 7:35:18.0+4:25:42.7+140.15%41.64%-32.31%-32.29%0.907827.01%
128-LARSEN SVERRESDATTER LillNOR-TROMSO 30-3935F 7:41:57.4+4:32:22.1+143.66%41.04%-34.25%-34.23%0.901226.61%
129-LEIROS Elise ThereseNOR-TROMSO 30-3936F 7:42:13.6+4:32:38.3+143.81%41.02%-34.33%-34.30%0.898226.60%
130-SOMMERFELDT KatherineNOR-LARVIK 30-3935F 7:46:26.8+4:36:51.5+146.03%40.65%-35.55%-35.53%0.901226.36%
131-PECORARO ElisaTELVE TN 30-3939F 7:48:42.0+4:39:06.7+147.22%40.45%-36.21%-36.18%0.885926.23%
132-HARDESTY SolvaarNOR-TROMSO 30-3932F 7:50:18.7+4:40:43.4+148.07%40.31%-36.68%-36.65%0.906926.14%
133-BENJAMINSEN Lise HilmarsdatterNOR-TROMSO 30-3930F 7:50:49.2+4:41:13.9+148.34%40.27%-36.82%-36.80%0.907926.11%
134-BRUNETTI MauriziaBOLOGNA BO 30-3937F 7:53:16.8+4:43:41.5+149.64%40.06%-37.54%-37.52%0.894725.98%
135-SARDAGNA CarmelaCAVALESE TN 30-3938F 8:05:02.6+4:55:27.3+155.84%39.09%-40.96%-40.93%0.890525.35%
136-HENDEN TORSTEINSEN NoraNOR-OSLO 30-3939F 8:18:22.3+5:08:47.0+162.87%38.04%-44.83%-44.81%0.885924.67%
137-CEOL FabianaPREDAZZO TN 30-3933F 8:23:02.9+5:13:27.6+165.34%37.69%-46.19%-46.16%0.905624.44%
138-GAIGA MarinaCUNARDO VA 30-3935F 8:25:45.5+5:16:10.2+166.77%37.49%-46.98%-46.95%0.901224.31%
139-JOHANSSON LinneaSWE-FALKOPING 30-3931F 8:26:15.0+5:16:39.7+167.03%37.45%-47.12%-47.10%0.907824.29%