Main content
Most popular skiers
Total amount of teams: 276
Amount of skiers selected: 279
Most popular
| Skier | Value | Selected | ||
|---|---|---|---|---|
| 1 | Shiffrin, Mikaela | 50 mln. | 242 x (88%) | |
| 2 | Pinturault, Alexis | 38.1 mln. | 206 x (75%) | |
| 3 | Paris, Dominik | 26.2 mln. | 202 x (73%) | |
| 4 | Vlhova, Petra | 37.2 mln. | 184 x (67%) | |
| 5 | Zenhaeusern, Ramon | 11.3 mln. | 183 x (66%) | |
| 6 | Odermatt, Marco | 15.3 mln. | 177 x (64%) | |
| 7 | Alphand, Estelle | 3.6 mln. | 171 x (62%) | |
| 8 | Goggia, Sofia | 29.1 mln. | 169 x (61%) | |
| 9 | Kriechmayr, Vincent | 25.4 mln. | 169 x (61%) | |
| 10 | Holtmann, Mina Fuerst | 8.4 mln. | 166 x (60%) | |
| 11 | Vinatzer, Alex | 5.4 mln. | 163 x (59%) | |
| 12 | Kristoffersen, Henrik | 35.7 mln. | 159 x (58%) | |
| 13 | Jakobsen, Kristoffer | 1.4 mln. | 142 x (51%) | |
| 14 | Tviberg, Maria Therese | 4.5 mln. | 137 x (50%) | |
| 15 | Sejersted, Adrian Smiseth | 9.3 mln. | 133 x (48%) | |
| 16 | Dubovska, Martina | 1.1 mln. | 131 x (47%) | |
| 17 | Braathen, Lucas | 7.4 mln. | 123 x (45%) | |
| 18 | Gallhuber, Katharina | 6.3 mln. | 116 x (42%) | |
| 19 | Schwarz, Marco | 15.8 mln. | 115 x (42%) | |
| 20 | Robinson, Alice | 17.8 mln. | 112 x (41%) | |
| 21 | Swenn Larsson, Anna | 11 mln. | 108 x (39%) | |
| 22 | Gritsch, Franziska | 7.3 mln. | 107 x (39%) | |
| 23 | Radamus, River | 2.7 mln. | 107 x (39%) | |
| 24 | Neumayer, Christopher | 1.5 mln. | 106 x (38%) | |
| 25 | Holdener, Wendy | 34 mln. | 104 x (38%) | |
| 26 | Suter, Juliana | 2.3 mln. | 101 x (37%) | |
| 27 | Noel, Clement | 21.9 mln. | 96 x (35%) | |
| 28 | Windingstad, Rasmus | 7.9 mln. | 91 x (33%) | |
| 29 | Myhrer, Andre | 6.4 mln. | 86 x (31%) | |
| 30 | Strasser, Linus | 3.2 mln. | 78 x (28%) | |
| 31 | Huber, Katharina | 4.8 mln. | 76 x (28%) | |
| 32 | Gisin, Michelle | 25 mln. | 74 x (27%) | |
| 33 | Kilde, Aleksander Aamodt | 20.1 mln. | 74 x (27%) | |
| 34 | Schwaiger, Dominik | 2.8 mln. | 73 x (26%) | |
| 35 | Haver-Loeseth, Nina | 9.5 mln. | 71 x (26%) | |
| 36 | Hrovat, Meta | 11.2 mln. | 58 x (21%) | |
| 37 | Mayer, Matthias | 17.4 mln. | 55 x (20%) | |
| 38 | Kranjec, Zan | 14.4 mln. | 53 x (19%) | |
| 39 | Siebenhofer, Ramona | 16.3 mln. | 50 x (18%) | |
| 40 | Truppe, Katharina | 15.9 mln. | 49 x (18%) | |
| 41 | Janka, Carlo | 8.8 mln. | 48 x (17%) | |
| 42 | Stuhec, Ilka | 22.1 mln. | 48 x (17%) | |
| 43 | Cochran-Siegle, Ryan | 6.8 mln. | 46 x (17%) | |
| 44 | Fjaellstroem, Magdalena | 2.6 mln. | 46 x (17%) | |
| 45 | Brignone, Federica | 28.3 mln. | 41 x (15%) | |
| 46 | Caviezel, Mauro | 20 mln. | 41 x (15%) | |
| 47 | Yule, Daniel | 14.6 mln. | 41 x (15%) | |
| 48 | Aerni, Luca | 3.7 mln. | 40 x (14%) | |
| 49 | Dressen, Thomas | 13.6 mln. | 39 x (14%) | |
| 50 | Duerr, Lena | 5 mln. | 38 x (14%) | |
| 51 | Gut-Behrami, Lara | 17.2 mln. | 38 x (14%) | |
| 52 | Traninger, Manuel | 2.1 mln. | 36 x (13%) | |
| 53 | Faivre, Mathieu | 8.7 mln. | 35 x (13%) | |
| 54 | Schmidhofer, Nicole | 20.4 mln. | 35 x (13%) | |
| 55 | Monsen, Marte | 1.3 mln. | 34 x (12%) | |
| 56 | Suter, Corrine | 14 mln. | 34 x (12%) | |
| 57 | Wikstroem, Emelie | 3.1 mln. | 32 x (12%) | |
| 58 | Worley, Tessa | 14.9 mln. | 32 x (12%) | |
| 59 | Feuz, Beat | 22.2 mln. | 30 x (11%) | |
| 60 | Jansrud, Kjetil | 20.7 mln. | 30 x (11%) | |
| 61 | Hirschbuehl, Christian | 7.2 mln. | 29 x (11%) | |
| 62 | Ackermann, Christina | 4.7 mln. | 28 x (10%) | |
| 63 | Wallner, Marina | 1.6 mln. | 28 x (10%) | |
| 64 | Read, Erik | 4.6 mln. | 27 x (10%) | |
| 65 | Rebensburg, Viktoria | 25.5 mln. | 25 x (9%) | |
| 66 | Ryding, Dave | 7.8 mln. | 25 x (9%) | |
| 67 | Puchner, Mirjam | 4.8 mln. | 24 x (9%) | |
| 68 | Bennett, Bryce | 9.7 mln. | 22 x (8%) | |
| 69 | Danklmaier, Daniel | 3.2 mln. | 22 x (8%) | |
| 70 | Hector, Sara | 8.9 mln. | 22 x (8%) | |
| 71 | Venier, Stephanie | 15.7 mln. | 21 x (8%) | |
| 72 | Mielzynski, Erin | 4.9 mln. | 20 x (7%) | |
| 73 | Ford, Tommy | 8.6 mln. | 19 x (7%) | |
| 74 | Meillard, Loic | 21.6 mln. | 19 x (7%) | |
| 75 | Robnik, Tina | 3.3 mln. | 19 x (7%) | |
| 76 | Weidle, Kira | 10.4 mln. | 19 x (7%) | |
| 77 | Franz, Max | 15 mln. | 18 x (7%) | |
| 78 | Allegre, Nils | 3.5 mln. | 17 x (6%) | |
| 79 | Monsen, Marcus | 1 mln. | 17 x (6%) | |
| 80 | Matt, Michael | 10.5 mln. | 16 x (6%) | |
| 81 | Stjernesund, Thea Louise | 6.5 mln. | 16 x (6%) | |
| 82 | Bacher, Fabian | 1.1 mln. | 15 x (5%) | |
| 83 | Lie, Kajsa Vickhoff | 10 mln. | 15 x (5%) | |
| 84 | Liensberger, Katharina | 20.8 mln. | 15 x (5%) | |
| 85 | St-Germain, Laurence | 5.6 mln. | 15 x (5%) | |
| 86 | Baumann, Romed | 2.8 mln. | 14 x (5%) | |
| 87 | Clarey, Johan | 12.4 mln. | 14 x (5%) | |
| 88 | Foss-Solevaag, Sebastian | 5.3 mln. | 14 x (5%) | |
| 89 | Maurberger, Simon | 2.5 mln. | 14 x (5%) | |
| 90 | Theaux, Adrien | 10.3 mln. | 14 x (5%) | |
| 91 | Feller, Manuel | 18.5 mln. | 13 x (5%) | |
| 92 | Ligety, Ted | 7.7 mln. | 13 x (5%) | |
| 93 | Meillard, Melanie | 10.2 mln. | 13 x (5%) | |
| 94 | Mowinckel, Ragnhild | 26.8 mln. | 13 x (5%) | |
| 95 | Zubcic, Filip | 3.6 mln. | 13 x (5%) | |
| 96 | Bucik, Ana | 2.3 mln. | 12 x (4%) | |
| 97 | Delago, Nicol | 10.6 mln. | 12 x (4%) | |
| 98 | Marsaglia, Francesca | 7.1 mln. | 12 x (4%) | |
| 99 | Schmotz, Marlene | 1.8 mln. | 12 x (4%) | |
| 100 | Stehle, Dominik | 2 mln. | 12 x (4%) | |
| 101 | Striedinger, Otmar | 6 mln. | 12 x (4%) | |
| 102 | Fill, Peter | 6.4 mln. | 11 x (4%) | |
| 103 | Casse, Mattia | 3.9 mln. | 10 x (4%) | |
| 104 | Ellenberger, Andrea | 3.1 mln. | 10 x (4%) | |
| 105 | Innerhofer, Christof | 16 mln. | 10 x (4%) | |
| 106 | Nestvold-Haugen, Leif Kristian | 9.1 mln. | 10 x (4%) | |
| 107 | Reichelt, Hannes | 9.2 mln. | 10 x (4%) | |
| 108 | Scheib, Julia | 2.5 mln. | 10 x (4%) | |
| 109 | Simonet, Sandro | 3 mln. | 10 x (4%) | |
| 110 | Weirather, Tina | 15.4 mln. | 10 x (4%) | |
| 111 | Buzzi, Emanuele | 4.6 mln. | 9 x (3%) | |
| 112 | Danioth, Aline | 6.2 mln. | 9 x (3%) | |
| 113 | Skjoeld, Maren | 3.8 mln. | 9 x (3%) | |
| 114 | Bassino, Marta | 13.5 mln. | 8 x (3%) | |
| 115 | Capova, Gabriela | 1.5 mln. | 8 x (3%) | |
| 116 | Moelgg, Manfred | 10.1 mln. | 8 x (3%) | |
| 117 | Hintermann, Niels | 5.6 mln. | 7 x (3%) | |
| 118 | Kolega, Elias | 5.1 mln. | 7 x (3%) | |
| 119 | Muffat-Jeandet, Victor | 18.1 mln. | 7 x (3%) | |
| 120 | Murisier, Justin | 5 mln. | 7 x (3%) | |
| 121 | Ortlieb, Nina | 3.3 mln. | 7 x (3%) | |
| 122 | Raedler, Ariane | 2.8 mln. | 7 x (3%) | |
| 123 | Rodes, Istok | 5.7 mln. | 7 x (3%) | |
| 124 | Scheyer, Christine | 3.5 mln. | 7 x (3%) | |
| 125 | Strolz, Johannes | 2.6 mln. | 7 x (3%) | |
| 126 | Tippler, Tamara | 9.9 mln. | 7 x (3%) | |
| 127 | Veith, Anna | 14.3 mln. | 7 x (3%) | |
| 128 | Ando, Asa | 1 mln. | 6 x (2%) | |
| 129 | Della Mea, Lara | 2.6 mln. | 6 x (2%) | |
| 130 | Digruber, Marc | 2.3 mln. | 6 x (2%) | |
| 131 | Fanchini, Nadia | 9.8 mln. | 6 x (2%) | |
| 132 | Ganong, Travis | 6.8 mln. | 6 x (2%) | |
| 133 | Leitinger, Roland | 2.2 mln. | 6 x (2%) | |
| 134 | Reisinger, Elisabeth | 1.5 mln. | 6 x (2%) | |
| 135 | Roesti, Lars | 2.5 mln. | 6 x (2%) | |
| 136 | Brennsteiner, Stefan | 3.4 mln. | 5 x (2%) | |
| 137 | Brunner, Stephanie | 5.9 mln. | 5 x (2%) | |
| 138 | Gagnon, Marie-Michele | 8.5 mln. | 5 x (2%) | |
| 139 | Gross, Stefano | 5.7 mln. | 5 x (2%) | |
| 140 | Haaser, Ricarda | 12.3 mln. | 5 x (2%) | |
| 141 | Hadalin, Stefan | 9.4 mln. | 5 x (2%) | |
| 142 | Muzaton, Maxence | 2.5 mln. | 5 x (2%) | |
| 143 | Nef, Tanguy | 2.6 mln. | 5 x (2%) | |
| 144 | Nyman, Steven | 6.6 mln. | 5 x (2%) | |
| 145 | Olsson, Matts | 9.6 mln. | 5 x (2%) | |
| 146 | Raffort, Nicolas | 1.3 mln. | 5 x (2%) | |
| 147 | Razzoli, Giuliano | 5.1 mln. | 5 x (2%) | |
| 148 | Sarrazin, Cyprien | 1.7 mln. | 5 x (2%) | |
| 149 | Thomsen, Benjamin | 6.3 mln. | 5 x (2%) | |
| 150 | Tilley, Alex | 1.3 mln. | 5 x (2%) | |
| 151 | Curtoni, Irene | 6.4 mln. | 4 x (1%) | |
| 152 | Grenier, Valerie | 4.3 mln. | 4 x (1%) | |
| 153 | Hoernblad, Lisa | 5.9 mln. | 4 x (1%) | |
| 154 | Hofer, Anna | 1.1 mln. | 4 x (1%) | |
| 155 | Khoroshilov, Alexander | 4.2 mln. | 4 x (1%) | |
| 156 | Ledecka, Ester | 10.5 mln. | 4 x (1%) | |
| 157 | Luitz, Stefan | 8.3 mln. | 4 x (1%) | |
| 158 | Lysdahl, Kristin | 13.7 mln. | 4 x (1%) | |
| 159 | Miradoli, Romane | 11.7 mln. | 4 x (1%) | |
| 160 | Monsen, Felix | 2.5 mln. | 4 x (1%) | |
| 161 | Nordbotten, Jonathan | 2.1 mln. | 4 x (1%) | |
| 162 | O'Brien, Nina | 2.2 mln. | 4 x (1%) | |
| 163 | Raschner, Dominik | 1 mln. | 4 x (1%) | |
| 164 | Rast, Camille | 2.2 mln. | 4 x (1%) | |
| 165 | Rogentin, Stefan | 1.5 mln. | 4 x (1%) | |
| 166 | Schmidiger, Reto | 1.4 mln. | 4 x (1%) | |
| 167 | Staalnacke, Ylva | 2.2 mln. | 4 x (1%) | |
| 168 | Tumler, Thomas | 6.1 mln. | 4 x (1%) | |
| 169 | Wild, Simone | 1.4 mln. | 4 x (1%) | |
| 170 | Chable, Charlotte | 1 mln. | 3 x (1%) | |
| 171 | De Aliprandini, Luca | 6.7 mln. | 3 x (1%) | |
| 172 | Drev, Ana | 2.5 mln. | 3 x (1%) | |
| 173 | Engel, Mark | 1 mln. | 3 x (1%) | |
| 174 | Fest, Nadine | 2.4 mln. | 3 x (1%) | |
| 175 | Haehlen, Joana | 8.1 mln. | 3 x (1%) | |
| 176 | Haugen, Kristine Gjelsten | 2.4 mln. | 3 x (1%) | |
| 177 | Huetter, Cornelia | 10.8 mln. | 3 x (1%) | |
| 178 | Ignjatovic, Nevena | 2.4 mln. | 3 x (1%) | |
| 179 | Kline, Bostjan | 3 mln. | 3 x (1%) | |
| 180 | Kosi, Klemen | 2.3 mln. | 3 x (1%) | |
| 181 | Mair, Chiara | 2.6 mln. | 3 x (1%) | |
| 182 | Philp, Trevor | 5.5 mln. | 3 x (1%) | |
| 183 | Popov, Albert | 6.2 mln. | 3 x (1%) | |
| 184 | Rask, Sara | 1.3 mln. | 3 x (1%) | |
| 185 | Remme, Roni | 10.9 mln. | 3 x (1%) | |
| 186 | Roulin, Gilles | 3.6 mln. | 3 x (1%) | |
| 187 | Sala, Tommaso | 1.3 mln. | 3 x (1%) | |
| 188 | Appen, Henrik von | 1.1 mln. | 2 x (1%) | |
| 189 | Caviezel, Gino | 5.8 mln. | 2 x (1%) | |
| 190 | Delago, Nadia | 1.4 mln. | 2 x (1%) | |
| 191 | Direz, Clara | 2.7 mln. | 2 x (1%) | |
| 192 | Ferstl, Josef | 13.1 mln. | 2 x (1%) | |
| 193 | Filser, Andrea | 1 mln. | 2 x (1%) | |
| 194 | Flury, Jasmine | 9 mln. | 2 x (1%) | |
| 195 | Frasse Sombet, Coralie | 3.6 mln. | 2 x (1%) | |
| 196 | Gauche, Laura | 1.9 mln. | 2 x (1%) | |
| 197 | Giezendanner, Blaise | 2.5 mln. | 2 x (1%) | |
| 198 | Grill, Lisa | 1.7 mln. | 2 x (1%) | |
| 199 | Groebli, Nathalie | 2.3 mln. | 2 x (1%) | |
| 200 | Hrobat, Miha | 1.9 mln. | 2 x (1%) | |
| 201 | Kopp, Rahel | 2.9 mln. | 2 x (1%) | |
| 202 | Krenn, Christoph | 3.1 mln. | 2 x (1%) | |
| 203 | Lizeroux, Julien | 4.1 mln. | 2 x (1%) | |
| 204 | Maes, Sam | 2.5 mln. | 2 x (1%) | |
| 205 | Marchant, Armand | 1.5 mln. | 2 x (1%) | |
| 206 | Mermillod Blondin, Thomas | 1.5 mln. | 2 x (1%) | |
| 207 | Moltzan, Paula | 3.5 mln. | 2 x (1%) | |
| 208 | Mugnier, Adeline | 4 mln. | 2 x (1%) | |
| 209 | Nani, Roberto | 1.2 mln. | 2 x (1%) | |
| 210 | Noger, Cedric | 3.9 mln. | 2 x (1%) | |
| 211 | Norbye, Kaja | 2.5 mln. | 2 x (1%) | |
| 212 | Roger, Brice | 7.5 mln. | 2 x (1%) | |
| 213 | Roux, Tifany | 1.8 mln. | 2 x (1%) | |
| 214 | Sander, Andreas | 6 mln. | 2 x (1%) | |
| 215 | Schnarf, Johanna | 8.2 mln. | 2 x (1%) | |
| 216 | Schuetter, Julian | 2.2 mln. | 2 x (1%) | |
| 217 | Sporer, Marie-Therese | 1 mln. | 2 x (1%) | |
| 218 | Stoffel, Elena | 2.4 mln. | 2 x (1%) | |
| 219 | Tonetti, Riccardo | 8 mln. | 2 x (1%) | |
| 220 | Wenig, Michaela | 3.4 mln. | 2 x (1%) | |
| 221 | Winters, Luke | 1.2 mln. | 2 x (1%) | |
| 222 | Zingerle, Hannes | 1 mln. | 2 x (1%) | |
| 223 | Ager, Christina | 7 mln. | 1 x (0%) | |
| 224 | Alphand, Nils | 1.4 mln. | 1 x (0%) | |
| 225 | Appen, Sven von | 1 mln. | 1 x (0%) | |
| 226 | Azzola, Michela | 1 mln. | 1 x (0%) | |
| 227 | Biesemeyer, Thomas | 1.1 mln. | 1 x (0%) | |
| 228 | Buffet, Robin | 1.2 mln. | 1 x (0%) | |
| 229 | Christensen, Simen Ramberg | 1 mln. | 1 x (0%) | |
| 230 | Dorsch, Patrizia | 2.7 mln. | 1 x (0%) | |
| 231 | Dupratt, Samuel | 1 mln. | 1 x (0%) | |
| 232 | Dvornik, Neja | 2 mln. | 1 x (0%) | |
| 233 | Dygruber, Michaela | 1.6 mln. | 1 x (0%) | |
| 234 | Fleckenstein, Stefanie | 1 mln. | 1 x (0%) | |
| 235 | Forni, Josephine | 1.2 mln. | 1 x (0%) | |
| 236 | Gauthier, Tiffany | 2.9 mln. | 1 x (0%) | |
| 237 | Goldberg, Jared | 1.6 mln. | 1 x (0%) | |
| 238 | Good, Nicole | 2.4 mln. | 1 x (0%) | |
| 239 | Graf, Mathias | 1.6 mln. | 1 x (0%) | |
| 240 | Gruenigen, Noel von | 1 mln. | 1 x (0%) | |
| 241 | Guest, Charlie | 1.1 mln. | 1 x (0%) | |
| 242 | Haugan, Timon | 1.4 mln. | 1 x (0%) | |
| 243 | Heider, Michaela | 1.1 mln. | 1 x (0%) | |
| 244 | Hemetsberger, Daniel | 1 mln. | 1 x (0%) | |
| 245 | Hirtl-Stanggassinger, Katrin | 1.7 mln. | 1 x (0%) | |
| 246 | Hronek, Veronique | 1.2 mln. | 1 x (0%) | |
| 247 | Johnson, Breezy | 2.5 mln. | 1 x (0%) | |
| 248 | Kolega, Samuel | 1.4 mln. | 1 x (0%) | |
| 249 | Kolly, Noemie | 2.3 mln. | 1 x (0%) | |
| 250 | Korpio, Nella | 2 mln. | 1 x (0%) | |
| 251 | Lapanja, Lila | 1 mln. | 1 x (0%) | |
| 252 | Lindqvist, Axel | 1 mln. | 1 x (0%) | |
| 253 | Loriot, Florian | 2.5 mln. | 1 x (0%) | |
| 254 | Marsaglia, Matteo | 3.5 mln. | 1 x (0%) | |
| 255 | McKennis Duran, Alice | 3.5 mln. | 1 x (0%) | |
| 256 | Melesi, Roberta | 1.5 mln. | 1 x (0%) | |
| 257 | Midali, Roberta | 1 mln. | 1 x (0%) | |
| 258 | Molteni, Nicolo | 1.5 mln. | 1 x (0%) | |
| 259 | Nufer, Priska | 3.7 mln. | 1 x (0%) | |
| 260 | Nullmeyer, Ali | 1.3 mln. | 1 x (0%) | |
| 261 | Osborne-Paradis, Manuel | 3.1 mln. | 1 x (0%) | |
| 262 | Peterlini, Martina | 1.3 mln. | 1 x (0%) | |
| 263 | Pfister, Meike | 1.8 mln. | 1 x (0%) | |
| 264 | Rapaport, Helena | 1 mln. | 1 x (0%) | |
| 265 | Ritchie, Benjamin | 1.8 mln. | 1 x (0%) | |
| 266 | Saefvenberg, Charlotta | 4.1 mln. | 1 x (0%) | |
| 267 | Schmid, Alexander | 4.4 mln. | 1 x (0%) | |
| 268 | Schmid, Manuel | 1.6 mln. | 1 x (0%) | |
| 269 | Schneeberger, Rosina | 1.7 mln. | 1 x (0%) | |
| 270 | Spik, Jakob | 1 mln. | 1 x (0%) | |
| 271 | Sturm, Joshua | 1.5 mln. | 1 x (0%) | |
| 272 | Trikhichev, Pavel | 2.2 mln. | 1 x (0%) | |
| 273 | Walder, Christian | 4.1 mln. | 1 x (0%) | |
| 274 | Weber, Ralph | 1.1 mln. | 1 x (0%) | |
| 275 | Wiles, Jacqueline | 2.9 mln. | 1 x (0%) | |
| 276 | Zabystran, Jan | 2 mln. | 1 x (0%) | |
| 277 | Zampa, Adam | 1.5 mln. | 1 x (0%) | |
| 278 | Zazzi, Pietro | 1.1 mln. | 1 x (0%) | |
| 279 | Zurbriggen, Elia | 1.3 mln. | 1 x (0%) |
Winner Overall World Cup Men
| Skier | Value | Selected | |
|---|---|---|---|
| 1 | Pinturault, Alexis | 38.1 mln. | 221 x (80%) |
| 2 | Kristoffersen, Henrik | 35.7 mln. | 46 x (17%) |
| 3 | Paris, Dominik | 26.2 mln. | 5 x (2%) |
| 4 | Odermatt, Marco | 15.3 mln. | 2 x (1%) |
| 5 | Feuz, Beat | 22.2 mln. | 1 x (0%) |
| 6 | Noel, Clement | 21.9 mln. | 1 x (0%) |
Winner Overall World Cup Women
| Skier | Value | Selected | |
|---|---|---|---|
| 1 | Shiffrin, Mikaela | 50 mln. | 271 x (98%) |
| 2 | Goggia, Sofia | 29.1 mln. | 2 x (1%) |
| 3 | Holdener, Wendy | 34 mln. | 1 x (0%) |
| 4 | Gisin, Michelle | 25 mln. | 1 x (0%) |
| 5 | Vlhova, Petra | 37.2 mln. | 1 x (0%) |