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Nejpopulárnější bruslaři
Celkový počet týmů: 273
Vybraní bruslaři: 101
Nejpopulárnější
| Bruslař | Hodnota | Vybráno | ||
|---|---|---|---|---|
| 1 | Kodaira, Nao | 25 mil. | 220 x (81%) | |
| 2 | Ihle, Nico | 5.5 mil. | 201 x (74%) | |
| 3 | Bergsma, Heather | 23.5 mil. | 181 x (66%) | |
| 4 | Kim, Tae-Yun | 3.2 mil. | 168 x (62%) | |
| 5 | Verweij, Koen | 12 mil. | 156 x (57%) | |
| 6 | Bøkko, Hege | 5.4 mil. | 153 x (56%) | |
| 7 | Verbij, Kai | 15.7 mil. | 149 x (55%) | |
| 8 | Wüst, Ireen | 14.4 mil. | 148 x (54%) | |
| 9 | Erbanová, Karolina | 10.8 mil. | 124 x (45%) | |
| 10 | Rijpma-de Jong, Antoinette | 10.9 mil. | 118 x (43%) | |
| 11 | Lee, Sang-Hwa | 9.2 mil. | 116 x (42%) | |
| 12 | Voronina, Natalia | 4.2 mil. | 114 x (42%) | |
| 13 | Blokhuijsen, Jan | 3.1 mil. | 113 x (41%) | |
| 14 | Bergsma, Jorrit | 7.4 mil. | 106 x (39%) | |
| 15 | Zhang, Hong | 7.6 mil. | 100 x (37%) | |
| 16 | Michael, Peter | 4.7 mil. | 99 x (36%) | |
| 17 | Sablíková, Martina | 12.6 mil. | 75 x (27%) | |
| 18 | Neeling, Sanneke de | 1.7 mil. | 69 x (25%) | |
| 19 | Mors, Jorien ter | 22.2 mil. | 68 x (25%) | |
| 20 | Kulizhnikov, Pavel | 23.1 mil. | 67 x (25%) | |
| 21 | Shikhova, Yekaterina | 8.8 mil. | 67 x (25%) | |
| 22 | Takagi, Miho | 15.3 mil. | 66 x (24%) | |
| 23 | Lorentzen, Håvard | 11.5 mil. | 65 x (24%) | |
| 24 | Go, Arisa | 10.2 mil. | 60 x (22%) | |
| 25 | Leenstra, Marrit | 13.9 mil. | 60 x (22%) | |
| 26 | De Haître, Vincent | 10.7 mil. | 54 x (20%) | |
| 27 | Nuis, Kjeld | 8.2 mil. | 52 x (19%) | |
| 28 | Kooiman, Erik Jan | 4.5 mil. | 48 x (18%) | |
| 29 | Bowe, Brittany | 8 mil. | 46 x (17%) | |
| 30 | N'tab, Dai Dai | 13.2 mil. | 45 x (16%) | |
| 31 | Kramer, Sven | 13.5 mil. | 44 x (16%) | |
| 32 | Beek, Lotte van | 4.1 mil. | 41 x (15%) | |
| 33 | Junio, Gilmore | 5.8 mil. | 38 x (14%) | |
| 34 | Hansen, Brian | 3.4 mil. | 36 x (13%) | |
| 35 | Pedersen, Sverre Lunde | 7.1 mil. | 36 x (13%) | |
| 36 | Krol, Thomas | 4.9 mil. | 34 x (12%) | |
| 37 | Poutala, Mika | 9.7 mil. | 33 x (12%) | |
| 38 | Fatkulina, Olga | 8.3 mil. | 32 x (12%) | |
| 39 | Blondin, Ivanie | 5.9 mil. | 31 x (11%) | |
| 40 | Mo, Tae-Bum | 2.8 mil. | 30 x (11%) | |
| 41 | Carruthers, Heather | 9.1 mil. | 29 x (11%) | |
| 42 | Mulder, Ronald | 9.8 mil. | 28 x (10%) | |
| 43 | Bachleda-Curuś, Katarzyna | 1.4 mil. | 27 x (10%) | |
| 44 | Chernova, Anna | 4.8 mil. | 26 x (10%) | |
| 45 | Niedźwiedzki, Konrad | 4 mil. | 26 x (10%) | |
| 46 | Lee, Seung-Hoon | 1.1 mil. | 25 x (9%) | |
| 47 | Yuskov, Denis | 11.7 mil. | 24 x (9%) | |
| 48 | Haga, Ryohei | 2.7 mil. | 21 x (8%) | |
| 49 | Bloemen, Ted-Jan | 6.6 mil. | 17 x (6%) | |
| 50 | Herzog, Vanessa | 9.5 mil. | 16 x (6%) | |
| 51 | Jong, Letitia de | 1.6 mil. | 16 x (6%) | |
| 52 | Mantia, Joey | 9 mil. | 16 x (6%) | |
| 53 | Morrison, Denny | 2.4 mil. | 16 x (6%) | |
| 54 | Tumolero, Nicola | 2.7 mil. | 16 x (6%) | |
| 55 | Swings, Bart | 7.2 mil. | 15 x (5%) | |
| 56 | Yu, Jing | 8.6 mil. | 15 x (5%) | |
| 57 | Czerwonka, Natalia | 4.8 mil. | 14 x (5%) | |
| 58 | Oda, Takuro | 3.9 mil. | 14 x (5%) | |
| 59 | Golikova, Angelina | 4.9 mil. | 13 x (5%) | |
| 60 | Hudey, Marsha | 10 mil. | 13 x (5%) | |
| 61 | Njåtun, Ida | 1.8 mil. | 13 x (5%) | |
| 62 | Tsuji, Maki | 11.3 mil. | 13 x (5%) | |
| 63 | Vries, Bob de | 2.6 mil. | 13 x (5%) | |
| 64 | Pechstein, Claudia | 2.9 mil. | 12 x (4%) | |
| 65 | Weidemann, Isabelle | 3.4 mil. | 12 x (4%) | |
| 66 | Whitmore, Mitchell | 5.3 mil. | 11 x (4%) | |
| 67 | Achtereekte, Carlijn | 4.3 mil. | 10 x (4%) | |
| 68 | Kamiya, Erina | 10.1 mil. | 10 x (4%) | |
| 69 | Kim, Bo-Reum | 2.2 mil. | 10 x (4%) | |
| 70 | Bøkko, Håvard | 1.8 mil. | 9 x (3%) | |
| 71 | Cha, Min-Kyu | 3.8 mil. | 9 x (3%) | |
| 72 | Murashov, Ruslan | 9.6 mil. | 9 x (3%) | |
| 73 | Geisreiter, Moritz | 3.3 mil. | 8 x (3%) | |
| 74 | Otterspeer, Hein | 4.3 mil. | 8 x (3%) | |
| 75 | Schouten, Irene | 5.1 mil. | 8 x (3%) | |
| 76 | Yesin, Alexey | 2.8 mil. | 8 x (3%) | |
| 77 | Dufter, Joel | 2.3 mil. | 7 x (3%) | |
| 78 | Gao, Tingyu | 7.3 mil. | 7 x (3%) | |
| 79 | Dufter, Roxanne | 3.7 mil. | 6 x (2%) | |
| 80 | Dannhauer, Judith | 2 mil. | 5 x (2%) | |
| 81 | Giovannini, Andrea | 3 mil. | 5 x (2%) | |
| 82 | Tian, Ruining | 1.9 mil. | 5 x (2%) | |
| 83 | Yamanaka, Daichi | 5 mil. | 5 x (2%) | |
| 84 | Garcia, Jonathan | 3.9 mil. | 4 x (1%) | |
| 85 | Henriksen, Sindre | 2.4 mil. | 4 x (1%) | |
| 86 | Lollobrigida, Francesca | 1.8 mil. | 4 x (1%) | |
| 87 | Waś, Artur | 9.3 mil. | 4 x (1%) | |
| 88 | Alphen, Lucas van | 2.9 mil. | 3 x (1%) | |
| 89 | Davis, Shani | 3.1 mil. | 3 x (1%) | |
| 90 | Donnelly, Benjamin | 2 mil. | 3 x (1%) | |
| 91 | Kondo, Taro | 1.5 mil. | 3 x (1%) | |
| 92 | Krikunov, Artyom | 1.5 mil. | 2 x (1%) | |
| 93 | Smit, Janine | 1.6 mil. | 2 x (1%) | |
| 94 | St-Jean, Alexandre | 2.6 mil. | 2 x (1%) | |
| 95 | Trofimov, Sergey | 1.9 mil. | 2 x (1%) | |
| 96 | Beckert, Patrick | 5.2 mil. | 1 x (0%) | |
| 97 | Bosker, Marcel | 2.8 mil. | 1 x (0%) | |
| 98 | Golubeva, Elizaveta | 1.9 mil. | 1 x (0%) | |
| 99 | Gryaztsov, Sergey | 1.7 mil. | 1 x (0%) | |
| 100 | Skokova, Yuliya | 1.9 mil. | 1 x (0%) | |
| 101 | Szymański, Jan | 3 mil. | 1 x (0%) |