Rank |
By Gen. |
Gender |
BIB |
Finish 5600m |
1 |
1 |
Male |
530 |
0:20:15(00:20:15) |
2 |
2 |
Male |
525 |
0:20:39(00:20:36) |
3 |
1 |
Female |
707 |
0:20:44(00:19:40) |
4 |
3 |
Male |
560 |
0:21:01(00:21:01) |
5 |
4 |
Male |
556 |
0:21:30(00:21:15) |
6 |
5 |
Male |
558 |
0:22:16 (--:--:--) |
7 |
2 |
Female |
723 |
0:22:43(00:22:38) |
8 |
6 |
Male |
554 |
0:23:12(00:23:06) |
9 |
7 |
Male |
563 |
0:23:51(00:23:02) |
10 |
8 |
Male |
610 |
0:24:58(00:24:33) |
11 |
9 |
Male |
599 |
0:24:59(00:24:22) |
12 |
10 |
Male |
606 |
0:25:37(00:25:12) |
13 |
11 |
Male |
570 |
0:25:43(00:25:25) |
14 |
3 |
Female |
771 |
0:25:43(00:25:36) |
15 |
12 |
Male |
528 |
0:25:51(00:25:35) |
16 |
13 |
Male |
551 |
0:25:58(00:25:30) |
17 |
14 |
Male |
587 |
0:26:05(00:26:03) |
18 |
15 |
Male |
533 |
0:26:08(00:25:50) |
19 |
4 |
Female |
800 |
0:26:10(00:25:28) |
20 |
16 |
Male |
535 |
0:26:10(00:25:28) |
21 |
17 |
Male |
534 |
0:26:11(00:25:48) |
22 |
5 |
Female |
729 |
0:26:12(00:25:47) |
23 |
18 |
Male |
582 |
0:26:16(00:25:33) |
24 |
6 |
Female |
612 |
0:26:35(00:26:30) |
25 |
19 |
Male |
527 |
0:26:36(00:26:23) |
26 |
7 |
Female |
759 |
0:27:22(00:27:17) |
27 |
8 |
Female |
826 |
0:27:51(00:27:46) |
28 |
20 |
Male |
509 |
0:28:18(00:27:52) |
29 |
21 |
Male |
592 |
0:28:21(00:27:44) |
30 |
22 |
Male |
577 |
0:28:21(00:27:52) |
31 |
23 |
Male |
505 |
0:28:27(00:28:20) |
32 |
9 |
Female |
804 |
0:28:32(00:28:03) |
33 |
10 |
Female |
722 |
0:28:46(00:28:09) |
34 |
24 |
Male |
552 |
0:28:51(00:28:28) |
35 |
25 |
Male |
585 |
0:28:53(00:28:31) |
36 |
26 |
Male |
526 |
0:28:54(00:28:31) |
37 |
27 |
Male |
589 |
0:28:59(00:28:19) |
38 |
28 |
Male |
502 |
0:28:59(00:27:24) |
39 |
11 |
Female |
768 |
0:29:14(00:29:00) |
40 |
29 |
Male |
514 |
0:29:16(00:29:11) |
41 |
30 |
Male |
613 |
0:29:20(00:28:30) |
42 |
31 |
Male |
510 |
0:29:23(00:28:31) |
43 |
32 |
Male |
549 |
0:29:25(00:28:35) |
44 |
12 |
Female |
834 |
0:29:34(00:29:19) |
45 |
13 |
Female |
726 |
0:29:38(00:29:15) |
46 |
14 |
Female |
738 |
0:29:39(00:29:03) |
47 |
15 |
Female |
718 |
0:29:42(00:29:28) |
48 |
16 |
Female |
827 |
0:29:44(00:28:55) |
49 |
17 |
Female |
766 |
0:29:47(00:29:30) |
50 |
18 |
Female |
715 |
0:29:58(00:29:22) |
51 |
19 |
Female |
830 |
0:30:12(00:29:39) |
52 |
20 |
Female |
704 |
0:30:20(00:29:58) |
53 |
33 |
Male |
741 |
0:30:21(00:29:48) |
54 |
21 |
Female |
708 |
0:30:32(00:30:16) |
55 |
34 |
Male |
593 |
0:30:37(00:29:59) |
56 |
35 |
Male |
555 |
0:30:57(00:24:16) |
57 |
36 |
Male |
508 |
0:31:26(00:30:22) |
58 |
22 |
Female |
711 |
0:31:28(00:31:18) |
59 |
23 |
Female |
701 |
0:31:29(00:30:53) |
60 |
37 |
Male |
511 |
0:31:42(00:31:24) |
61 |
38 |
Male |
579 |
0:31:43(00:31:33) |
62 |
39 |
Male |
522 |
0:31:46(00:31:46) |
63 |
40 |
Male |
523 |
0:31:49(00:31:12) |
64 |
24 |
Female |
795 |
0:31:50(00:31:12) |
65 |
41 |
Male |
550 |
0:31:50(00:23:38) |
66 |
42 |
Male |
590 |
0:32:01(00:29:51) |
67 |
43 |
Male |
586 |
0:32:19(00:32:14) |
68 |
44 |
Male |
544 |
0:32:26(00:32:09) |
69 |
25 |
Female |
705 |
0:32:28(00:32:12) |
70 |
26 |
Female |
825 |
0:32:35(00:32:35) |
71 |
27 |
Female |
816 |
0:32:56(00:32:14) |
72 |
45 |
Male |
566 |
0:32:56(00:32:22) |
73 |
46 |
Male |
578 |
0:32:56(00:32:14) |
74 |
47 |
Male |
547 |
0:33:05(00:31:08) |
75 |
28 |
Female |
744 |
0:33:06(00:32:56) |
76 |
29 |
Female |
611 |
0:33:12(00:33:05) |
77 |
30 |
Female |
765 |
0:33:19(00:32:54) |
78 |
48 |
Male |
513 |
0:33:26(00:32:36) |
79 |
31 |
Female |
791 |
0:33:49(00:33:00) |
80 |
49 |
Male |
569 |
0:33:50(00:33:00) |
81 |
50 |
Male |
602 |
0:34:09(00:31:59) |
82 |
51 |
Male |
584 |
0:34:19(00:33:58) |
83 |
52 |
Male |
518 |
0:34:19(00:33:59) |
84 |
32 |
Female |
786 |
0:34:22(00:34:03) |
85 |
33 |
Female |
799 |
0:34:24(00:33:53) |
86 |
34 |
Female |
731 |
0:34:25(00:33:53) |
87 |
53 |
Male |
576 |
0:34:27(00:34:15) |
88 |
35 |
Female |
803 |
0:34:28(00:33:18) |
89 |
54 |
Male |
567 |
0:34:30(00:33:52) |
90 |
55 |
Male |
562 |
0:34:30(00:34:20) |
91 |
56 |
Male |
607 |
0:34:42(00:34:09) |
92 |
36 |
Female |
730 |
0:34:56(00:34:16) |
93 |
57 |
Male |
516 |
0:34:56(00:34:16) |
94 |
58 |
Male |
540 |
0:35:03(00:35:02) |
95 |
37 |
Female |
736 |
0:35:07(00:27:20) |
96 |
38 |
Female |
831 |
0:35:20(00:34:52) |
97 |
59 |
Male |
512 |
0:35:25(00:34:38) |
98 |
60 |
Male |
520 |
0:35:25(00:34:36) |
99 |
39 |
Female |
746 |
0:35:26(00:34:38) |
100 |
61 |
Male |
501 |
0:35:29(00:34:53) |
101 |
62 |
Male |
583 |
0:35:34(00:35:14) |
102 |
63 |
Male |
546 |
0:35:35(00:35:17) |
103 |
64 |
Male |
545 |
0:35:36(00:35:18) |
104 |
65 |
Male |
601 |
0:35:58(00:33:49) |
105 |
40 |
Female |
745 |
0:36:10(00:35:45) |
106 |
66 |
Male |
503 |
0:36:26(00:36:21) |
107 |
41 |
Female |
714 |
0:36:31(00:36:28) |
108 |
67 |
Male |
553 |
0:36:33(00:36:23) |
109 |
42 |
Female |
720 |
0:36:37(00:36:05) |
110 |
43 |
Female |
733 |
0:36:44(00:36:38) |
111 |
44 |
Female |
709 |
0:36:44(00:36:00) |
112 |
45 |
Female |
762 |
0:36:50 (--:--:--) |
113 |
46 |
Female |
769 |
0:36:56(00:36:52) |
114 |
47 |
Female |
777 |
0:37:05(00:36:48) |
115 |
68 |
Male |
548 |
0:37:36(00:35:35) |
116 |
69 |
Male |
561 |
0:37:38(00:37:28) |
117 |
48 |
Female |
732 |
0:38:03(00:37:30) |
118 |
70 |
Male |
517 |
0:38:04(00:37:30) |
119 |
71 |
Male |
537 |
0:38:16(00:38:00) |
120 |
49 |
Female |
752 |
0:38:18(00:38:06) |
121 |
50 |
Female |
808 |
0:38:34(00:38:14) |
122 |
51 |
Female |
767 |
0:38:46(00:38:41) |
123 |
52 |
Female |
756 |
0:39:25(00:39:05) |
124 |
53 |
Female |
753 |
0:39:26(00:39:06) |
125 |
54 |
Female |
818 |
0:39:31(00:39:06) |
126 |
55 |
Female |
713 |
0:39:43(00:39:36) |
127 |
56 |
Female |
774 |
0:39:52(00:39:18) |
128 |
57 |
Female |
764 |
0:40:02(00:39:56) |
129 |
58 |
Female |
783 |
0:40:07(00:39:19) |
130 |
59 |
Female |
801 |
0:40:29(00:30:10) |
131 |
72 |
Male |
581 |
0:40:29(00:30:06) |
132 |
60 |
Female |
739 |
0:40:53(00:40:45) |
133 |
61 |
Female |
775 |
0:40:54(00:40:47) |
134 |
62 |
Female |
833 |
0:41:33(00:41:07) |
135 |
73 |
Male |
603 |
0:41:43(00:41:18) |
136 |
63 |
Female |
725 |
0:41:43(00:41:16) |
137 |
64 |
Female |
829 |
0:42:42(00:42:31) |
138 |
65 |
Female |
828 |
0:42:43(00:42:31) |
139 |
66 |
Female |
779 |
0:42:56(00:42:21) |
140 |
67 |
Female |
796 |
0:43:25(00:43:11) |
141 |
68 |
Female |
810 |
0:44:03(00:41:13) |
142 |
69 |
Female |
805 |
0:44:52(00:37:05) |
143 |
70 |
Female |
712 |
0:44:53(00:44:10) |
144 |
71 |
Female |
742 |
0:45:20(00:44:56) |
145 |
72 |
Female |
734 |
0:45:20(00:44:56) |
146 |
73 |
Female |
770 |
0:46:00(00:45:53) |
147 |
74 |
Female |
721 |
0:46:02(00:45:53) |
148 |
75 |
Female |
751 |
0:46:03(00:45:53) |
149 |
76 |
Female |
807 |
0:47:25(00:46:43) |
150 |
74 |
Male |
519 |
0:48:21(00:48:15) |
151 |
77 |
Female |
716 |
0:49:17 (--:--:--) |
152 |
78 |
Female |
703 |
0:49:17 (--:--:--) |
153 |
75 |
Male |
565 |
0:52:48(00:52:14) |
154 |
76 |
Male |
564 |
0:52:49(00:52:12) |
155 |
79 |
Female |
820 |
0:52:49(00:52:14) |
156 |
80 |
Female |
788 |
0:52:50(00:52:13) |
157 |
81 |
Female |
821 |
0:52:50(00:52:14) |
158 |
82 |
Female |
802 |
0:52:51(00:52:15) |
159 |
83 |
Female |
737 |
0:55:58(00:48:07) |
160 |
77 |
Male |
541 |
0:59:29 (--:--:--) |
161 |
84 |
Female |
719 |
0:59:30 (--:--:--) |
162 |
85 |
Female |
787 |
1:00:06 (--:--:--) |
163 |
86 |
Female |
797 |
1:00:07 (--:--:--) |
164 |
87 |
Female |
813 |
1:00:38 (--:--:--) |
165 |
88 |
Female |
748 |
1:00:38 (--:--:--) |
166 |
89 |
Female |
749 |
1:03:00 (--:--:--) |
167 |
78 |
Male |
597 |
1:04:03(00:52:40) |
168 |
90 |
Female |
814 |
1:04:03(00:52:39) |
169 |
91 |
Female |
789 |
1:04:04(00:52:42) |
170 |
92 |
Female |
763 |
1:11:51 (--:--:--) |
171 |
79 |
Male |
617 |
1:11:51 (--:--:--) |
172 |
80 |
Male |
574 |
1:11:52 (--:--:--) |
173 |
93 |
Female |
772 |
1:11:52 (--:--:--) |
174 |
94 |
Female |
735 |
1:11:52 (--:--:--) |
175 |
95 |
Female |
758 |
1:11:52 (--:--:--) |
176 |
96 |
Female |
773 |
1:11:52 (--:--:--) |
177 |
97 |
Female |
336 |
1:11:52 (--:--:--) |
178 |
98 |
Female |
776 |
1:11:53 (--:--:--) |
179 |
81 |
Male |
536 |
1:11:53 (--:--:--) |
180 |
99 |
Female |
815 |
- |
181 |
82 |
Male |
614 |
- |
182 |
83 |
Male |
596 |
- |
183 |
84 |
Male |
531 |
- |