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Most popular skaters
Total amount of teams: 456
Amount of skaters selected: 172
Most popular
| Skater | Value | Selected | ||
|---|---|---|---|---|
| 1 | Takagi, Miho | 26.7 mln. | 392 x (86%) | |
| 2 | Kodaira, Nao | 28.2 mln. | 371 x (81%) | |
| 3 | Kramer, Sven | 30 mln. | 327 x (72%) | |
| 4 | Wüst, Ireen | 23.6 mln. | 320 x (70%) | |
| 5 | Nuis, Kjeld | 23.3 mln. | 315 x (69%) | |
| 6 | Hirschbichler, Gabriele | 3.8 mln. | 280 x (61%) | |
| 7 | Gao, Tingyu | 2.5 mln. | 274 x (60%) | |
| 8 | Herzog, Vanessa | 15 mln. | 245 x (54%) | |
| 9 | Erbanová, Karolina | 9.9 mln. | 241 x (53%) | |
| 10 | Lee, Sang-Hwa | 11.7 mln. | 234 x (51%) | |
| 11 | Verbij, Kai | 14.9 mln. | 205 x (45%) | |
| 12 | Garcia, Jonathan | 1.6 mln. | 177 x (39%) | |
| 13 | Whitmore, Mitchell | 4.1 mln. | 174 x (38%) | |
| 14 | Mors, Jorien ter | 10.3 mln. | 165 x (36%) | |
| 15 | Pedersen, Sverre Lunde | 18.1 mln. | 165 x (36%) | |
| 16 | Bloemen, Ted-Jan | 19 mln. | 161 x (35%) | |
| 17 | Blondin, Ivanie | 18.7 mln. | 154 x (34%) | |
| 18 | Smeekens, Jan | 6.9 mln. | 153 x (34%) | |
| 19 | Leenstra, Marrit | 15.2 mln. | 152 x (33%) | |
| 20 | Rijpma-de Jong, Antoinette | 9.2 mln. | 151 x (33%) | |
| 21 | Koskela, Pekka | 2.7 mln. | 149 x (33%) | |
| 22 | Junio, Gilmore | 3.2 mln. | 142 x (31%) | |
| 23 | Bergsma, Jorrit | 8.3 mln. | 138 x (30%) | |
| 24 | Ihle, Nico | 8.6 mln. | 137 x (30%) | |
| 25 | Blokhuijsen, Jan | 4.8 mln. | 121 x (27%) | |
| 26 | Kim, Tae-Yun | 3 mln. | 119 x (26%) | |
| 27 | Verweij, Koen | 24.8 mln. | 118 x (26%) | |
| 28 | Tumolero, Nicola | 13.4 mln. | 112 x (25%) | |
| 29 | Bergsma, Heather | 23.1 mln. | 103 x (23%) | |
| 30 | Njåtun, Ida | 9.3 mln. | 98 x (21%) | |
| 31 | Beek, Lotte van | 6.4 mln. | 95 x (21%) | |
| 32 | Kim, Min-Sun | 2.5 mln. | 94 x (21%) | |
| 33 | Hansen, Brian | 2.3 mln. | 86 x (19%) | |
| 34 | Voronina, Natalia | 10.5 mln. | 86 x (19%) | |
| 35 | Nagy, Konrád | 1.2 mln. | 85 x (19%) | |
| 36 | Achtereekte, Carlijn | 5 mln. | 82 x (18%) | |
| 37 | Lorentzen, Håvard | 18.9 mln. | 79 x (17%) | |
| 38 | Bródka, Zbigniew | 2.2 mln. | 76 x (17%) | |
| 39 | Dufter, Roxanne | 4.3 mln. | 76 x (17%) | |
| 40 | Poutala, Mika | 11 mln. | 74 x (16%) | |
| 41 | Sablíková, Martina | 23.5 mln. | 69 x (15%) | |
| 42 | Bøkko, Hege | 6.8 mln. | 68 x (15%) | |
| 43 | Nenzi, Mirko Giacomo | 1.3 mln. | 65 x (14%) | |
| 44 | Go, Arisa | 10.7 mln. | 57 x (13%) | |
| 45 | Bowe, Brittany | 15.8 mln. | 56 x (12%) | |
| 46 | Joo, Hyong-Jun | 1 mln. | 53 x (12%) | |
| 47 | Beckert, Patrick | 13.8 mln. | 52 x (11%) | |
| 48 | Zdráhalova, Nikola | 6.1 mln. | 52 x (11%) | |
| 49 | Zhang, Hong | 5.1 mln. | 52 x (11%) | |
| 50 | Carruthers, Heather | 4.4 mln. | 50 x (11%) | |
| 51 | Golikova, Angelina | 7.3 mln. | 50 x (11%) | |
| 52 | Zueva, Marina | 12 mln. | 49 x (11%) | |
| 53 | Mulder, Ronald | 10.2 mln. | 48 x (11%) | |
| 54 | Visser, Esmee | 9.8 mln. | 46 x (10%) | |
| 55 | Swings, Bart | 14.3 mln. | 45 x (10%) | |
| 56 | Bøkko, Håvard | 5.9 mln. | 41 x (9%) | |
| 57 | Mo, Tae-Bum | 5.4 mln. | 39 x (9%) | |
| 58 | Vries, Bob de | 5.7 mln. | 39 x (9%) | |
| 59 | Boisvert-Lacroix, Alex | 6.7 mln. | 38 x (8%) | |
| 60 | Aydova, Yekaterina | 3.3 mln. | 37 x (8%) | |
| 61 | De Haître, Vincent | 11.3 mln. | 37 x (8%) | |
| 62 | Geisreiter, Moritz | 8.4 mln. | 36 x (8%) | |
| 63 | Vosté, Mathias | 1.3 mln. | 36 x (8%) | |
| 64 | Huang, Yu-Ting | 6.2 mln. | 35 x (8%) | |
| 65 | Cha, Min-Kyu | 3.1 mln. | 34 x (7%) | |
| 66 | Lee, Seung-Hoon | 18.6 mln. | 34 x (7%) | |
| 67 | Weijden, Annouk van der | 9.7 mln. | 34 x (7%) | |
| 68 | Das, Anice | 2 mln. | 33 x (7%) | |
| 69 | Kuzin, Denis | 2 mln. | 32 x (7%) | |
| 70 | Morrison, Denny | 4.1 mln. | 32 x (7%) | |
| 71 | Greig, Daniel | 2.3 mln. | 30 x (7%) | |
| 72 | Lollobrigida, Francesca | 11.6 mln. | 29 x (6%) | |
| 73 | Kim, Min-Seok | 4 mln. | 28 x (6%) | |
| 74 | Kim, Bo-Reum | 10.1 mln. | 27 x (6%) | |
| 75 | Xie, Jiaxuan | 1 mln. | 27 x (6%) | |
| 76 | Dannhauer, Judith | 2.5 mln. | 24 x (5%) | |
| 77 | Noh, Seon-Yeong | 1.1 mln. | 23 x (5%) | |
| 78 | Roest, Patrick | 6.6 mln. | 23 x (5%) | |
| 79 | Michael, Peter | 10.8 mln. | 22 x (5%) | |
| 80 | Mikhailava, Tatsiana | 1 mln. | 22 x (5%) | |
| 81 | Niedźwiedzki, Konrad | 5.8 mln. | 22 x (5%) | |
| 82 | Belchos, Jordan | 3.4 mln. | 21 x (5%) | |
| 83 | Davis, Shani | 6.3 mln. | 21 x (5%) | |
| 84 | Hudey, Marsha | 4.5 mln. | 20 x (4%) | |
| 85 | Manganello, Mia | 3.6 mln. | 20 x (4%) | |
| 86 | Mantia, Joey | 19.7 mln. | 20 x (4%) | |
| 87 | Weidemann, Isabelle | 9.6 mln. | 19 x (4%) | |
| 88 | Williamson, Shane | 4.9 mln. | 18 x (4%) | |
| 89 | Dufter, Joel | 2.2 mln. | 17 x (4%) | |
| 90 | Oda, Takuro | 5.5 mln. | 17 x (4%) | |
| 91 | Czerwonka, Natalia | 5.7 mln. | 16 x (4%) | |
| 92 | Hasegawa, Tsubasa | 5.1 mln. | 16 x (4%) | |
| 93 | Kikuchi, Ayaka | 7.1 mln. | 16 x (4%) | |
| 94 | Pechstein, Claudia | 18.8 mln. | 16 x (4%) | |
| 95 | Rukke, Henrik Fagerli | 2.1 mln. | 16 x (4%) | |
| 96 | Schouten, Irene | 9 mln. | 16 x (4%) | |
| 97 | Dubreuil, Laurent | 7.2 mln. | 15 x (3%) | |
| 98 | Silovs, Haralds | 7.8 mln. | 15 x (3%) | |
| 99 | Tian, Ruining | 3.5 mln. | 15 x (3%) | |
| 100 | Giovannini, Andrea | 10 mln. | 14 x (3%) | |
| 101 | Hao, Jiachen | 3.7 mln. | 13 x (3%) | |
| 102 | Kay, Reyon | 4.3 mln. | 13 x (3%) | |
| 103 | Kim, Hyun-Yung | 2.8 mln. | 13 x (3%) | |
| 104 | Takagi, Nana | 11.1 mln. | 13 x (3%) | |
| 105 | Tsuchiya, Ryosuke | 6 mln. | 13 x (3%) | |
| 106 | Yamanaka, Daichi | 6.5 mln. | 13 x (3%) | |
| 107 | Bosiek, Karolina | 1.9 mln. | 12 x (3%) | |
| 108 | Ghiotto, Davide | 8.2 mln. | 12 x (3%) | |
| 109 | Lehman, Emery | 1.8 mln. | 12 x (3%) | |
| 110 | Szymański, Jan | 1.9 mln. | 12 x (3%) | |
| 111 | Waś, Artur | 4.2 mln. | 12 x (3%) | |
| 112 | Yu, Jing | 6.7 mln. | 12 x (3%) | |
| 113 | Nogal, Artur | 1.8 mln. | 11 x (2%) | |
| 114 | Peeters, Jelena | 3.4 mln. | 11 x (2%) | |
| 115 | Schoutens, Carlijn | 5.3 mln. | 11 x (2%) | |
| 116 | Johansson, Allan Dahl | 5.6 mln. | 10 x (2%) | |
| 117 | Contin, Alexis | 9.4 mln. | 9 x (2%) | |
| 118 | Daldossi, Yvonne | 1.9 mln. | 9 x (2%) | |
| 119 | Nakamura, Shota | 4.6 mln. | 9 x (2%) | |
| 120 | Oshigiri, Misaki | 4 mln. | 9 x (2%) | |
| 121 | Bachleda-Curuś, Katarzyna | 4.7 mln. | 8 x (2%) | |
| 122 | Krech, Roman | 2 mln. | 8 x (2%) | |
| 123 | Uhrig, Michelle | 1 mln. | 8 x (2%) | |
| 124 | Złotkowska, Luiza | 5.3 mln. | 8 x (2%) | |
| 125 | Christ, Kali | 2.7 mln. | 7 x (2%) | |
| 126 | Chung, Jae-Won | 3.1 mln. | 7 x (2%) | |
| 127 | Dobbin, Shane | 3 mln. | 7 x (2%) | |
| 128 | Kamiya, Erina | 3.9 mln. | 7 x (2%) | |
| 129 | Xiakaini, Aerchenghazi | 1 mln. | 7 x (2%) | |
| 130 | Donnelly, Benjamin | 1.4 mln. | 6 x (1%) | |
| 131 | Ichinohe, Seitaro | 1.8 mln. | 6 x (1%) | |
| 132 | Kato, Joji | 3.3 mln. | 6 x (1%) | |
| 133 | Tutt, Brianne | 5.4 mln. | 6 x (1%) | |
| 134 | Causil, Pedro | 1.2 mln. | 5 x (1%) | |
| 135 | Guo, Dan | 5.2 mln. | 5 x (1%) | |
| 136 | Jean, Olivier | 3.6 mln. | 5 x (1%) | |
| 137 | Liiv, Marten | 1.1 mln. | 5 x (1%) | |
| 138 | Liu, Jing | 1.6 mln. | 5 x (1%) | |
| 139 | Møller-Rigas, Elena | 3.8 mln. | 5 x (1%) | |
| 140 | Nilsen, Simen Spieler | 2.6 mln. | 5 x (1%) | |
| 141 | Poel, Nils van der | 2.1 mln. | 5 x (1%) | |
| 142 | Sato, Ayano | 7 mln. | 5 x (1%) | |
| 143 | St-Jean, Alexandre | 3.9 mln. | 5 x (1%) | |
| 144 | Tandiman, Jerica | 1.1 mln. | 5 x (1%) | |
| 145 | Wang, Hongli | 2.6 mln. | 5 x (1%) | |
| 146 | Henriksen, Sindre | 5.2 mln. | 4 x (1%) | |
| 147 | Kim, Jun-Ho | 2.6 mln. | 4 x (1%) | |
| 148 | Krikunov, Artyom | 1 mln. | 4 x (1%) | |
| 149 | Park, Seung-Hi | 1.7 mln. | 4 x (1%) | |
| 150 | Tai, Wei-Lin | 1 mln. | 4 x (1%) | |
| 151 | Ianculescu, Alexandra | 1 mln. | 3 x (1%) | |
| 152 | Mezentsev, Fedor | 2.7 mln. | 3 x (1%) | |
| 153 | Sadouskaya, Kseniya | 1.1 mln. | 3 x (1%) | |
| 154 | Yang, Tao | 1.8 mln. | 3 x (1%) | |
| 155 | Bettrone, Francesca | 4.6 mln. | 2 x (0%) | |
| 156 | Chung, Jae-Woong | 1.6 mln. | 2 x (0%) | |
| 157 | Golovatsiuk, Ignat | 1.9 mln. | 2 x (0%) | |
| 158 | Irvine, Kaylin | 2 mln. | 2 x (0%) | |
| 159 | Li (94), Dan | 3.7 mln. | 2 x (0%) | |
| 160 | Michalski, Piotr | 3.2 mln. | 2 x (0%) | |
| 161 | Park, Ji-Woo | 2.3 mln. | 2 x (0%) | |
| 162 | Risku, Elina | 1.4 mln. | 2 x (0%) | |
| 163 | Trofimov, Sergey | 2 mln. | 2 x (0%) | |
| 164 | Wielgat, Adrian | 1.6 mln. | 2 x (0%) | |
| 165 | Alusalu, Saskia | 2.9 mln. | 1 x (0%) | |
| 166 | Czyszczoń, Magdalena | 2.3 mln. | 1 x (0%) | |
| 167 | Heidegger, Linus | 2.4 mln. | 1 x (0%) | |
| 168 | Jackson, Erin | 1.5 mln. | 1 x (0%) | |
| 169 | Klosinski, Sebastian | 2.2 mln. | 1 x (0%) | |
| 170 | Sung, Ching-Yang | 1.7 mln. | 1 x (0%) | |
| 171 | Thorup, Viktor Hald | 2.4 mln. | 1 x (0%) | |
| 172 | Ziomek, Kaja | 1.4 mln. | 1 x (0%) |