Biathlon at the 2015 Winter Universiade – Women's 15 km individual
The women's 15 km individual competition of the 2015 Winter Universiade was held at the National Biathlon Centre in Osrblie on January 25.[1]
Results
| Rank | Bib | Name | Country | Time | Penalties (P+S+P+S) | Deficit |
|---|---|---|---|---|---|---|
 | 37 | Alina Raikova |  | 47:29.4 | 1 (0+1+0+0) | 0.0 |
 | 3 | Ekaterina Avvakumova |  | 47:38.4 | 0 (0+0+0+0) | +9.0 |
 | 12 | Paulína Fialková |  | 48:11.1 | 4 (1+0+1+2) | +41.7 |
| 4 | 20 | Galina Vishnevskaya | | 48:26.3 | 2 (1+1+0+0) | +56.9 |
| 5 | 27 | Evgeniia Pavlova | | 48:59.9 | 2 (0+1+0+1) | +1:30.5 |
| 6 | 22 | Kristina Smirnova | | 50:17.2 | 4 (0+1+1+2) | +2:47.8 |
| 7 | 10 | Ludmila Horká |  | 50:49.7 | 4 (0+0+1+3) | +3:20.3 |
| 8 | 16 | Ekaterina Muraleeva | | 51:03.3 | 3 (1+0+2+0) | +3:33.9 |
| 9 | 13 | Darya Usanova | | 51:08.1 | 5 (0+1+1+3) | +3:38.7 |
| 10 | 6 | Juliette Lazzarotto |  | 51:16.2 | 3 (1+1+0+1) | +3:46.8 |
| 11 | 39 | Nadezda Morozova | | 51:39.3 | 4 (1+1+1+1) | +4:09.9 |
| 12 | 33 | Alla Gylenko |  | 52:02.2 | 3 (2+1+0+0) | +4:32.8 |
| 13 | 34 | Lene Berg Ådlandsvik |  | 52:21.1 | 3 (0+2+0+1) | +4:51.7 |
| 14 | 44 | Elena Ankudinova | | 52:34.3 | 3 (0+3+0+0) | +5:04.9 |
| 15 | 23 | Iana Bondar | | 52:44.0 | 7 (2+2+2+1) | +5:14.6 |
| 16 | 4 | Anna Maka |  | 52:45.1 | 2 (1+0+0+1) | +5:15.7 |
| 17 | 36 | Victoria Padial |  | 53:01.5 | 6 (1+2+1+2) | +5:32.1 |
| 18 | 5 | Nadiia Bielkina | | 53:20.8 | 6 (1+2+2+1) | +5:51.4 |
| 19 | 38 | Tonje Marie Skjeldstadås | | 53:21.7 | 3 (1+1+1+0) | +5:52.3 |
| 20 | 9 | Patrycja Hojnisz | | 53:25.8 | 6 (0+2+1+3) | +5:56.4 |
| 21 | 15 | Rikke Hald Andersen | | 53:32.8 | 5 (0+4+0+1) | +6:03.4 |
| 22 | 46 | Katarzyna Wołoszyn | | 53:33.2 | 1 (0+0+0+1) | +6:03.8 |
| 23 | 7 | Alžbeta Majdišová | | 53:34.8 | 4 (1+0+1+2) | +6:05.4 |
| 24 | 26 | Aliona Lutsykovich |  | 53:55.6 | 5 (0+2+1+2) | +6:26.2 |
| 25 | 19 | Yuliya Brygynets | | 54:26.8 | 6 (0+2+4+0) | +6:57.4 |
| 26 | 41 | Iryna Behan | | 54:35.0 | 6 (1+2+1+2) | +7:05.6 |
| 27 | 40 | Kristina Lytvynenko | | 55:04.9 | 6 (0+1+2+3) | +7:35.5 |
| 28 | 25 | Lucia Simová | | 55:19.8 | 6 (1+1+0+4) | +7:50.4 |
| 29 | 35 | Anastassiya Kondratyeva | | 55:32.0 | 4 (2+0+1+1) | +8:02.6 |
| 30 | 32 | Andrea Horčiková | | 56:30.2 | 7 (0+2+2+3) | +9:00.8 |
| 31 | 45 | Laurie-Anne Serrette | | 56:49.4 | 7 (2+2+1+2) | +9:20.0 |
| 32 | 42 | Janka Maráková | | 56:52.5 | 7 (1+3+1+2) | +9:23.1 |
| 33 | 24 | Julie Cardon | | 56:57.6 | 8 (2+3+0+3) | +9:28.2 |
| 34 | 17 | Suvi Minkkinen |  | 57:06.6 | 5 (1+2+0+2) | +9:37.2 |
| 35 | 28 | Meri Maijala | | 57:06.9 | 4 (1+2+1+0) | +9:37.5 |
| 36 | 47 | Galina Mikryukova | | 57:21.3 | 8 (3+1+3+1) | +9:51.9 |
| 37 | 14 | Keely MacCulloch |  | 58:26.2 | 4 (0+2+1+1) | +10:56.8 |
| 38 | 31 | Karolina Batożyńska | | 58:56.1 | 6 (0+0+3+3) | +11:26.7 |
| 39 | 29 | Jessica Paterson | | 59:54.5 | 5 (0+1+3+1) | +12:25.1 |
| 40 | 11 | Busra Güneş |  | 1:01:56.3 | 6 (2+3+0+1) | +14:26.9 |
| 41 | 43 | Mira Holopainen | | 1:02:02.8 | 11 (3+2+3+3) | +14:33.4 |
| 42 | 21 | Ham Hae-yeong |  | 1:02:24.5 | 5 (0+2+1+2) | +14:55.1 |
| 43 | 2 | Chinatsu Takeda |  | 1:05:11.0 | 14 (2+4+4+4) | +17:41.6 |
| 44 | 1 | Jillian Colebourn |  | 1:08:05.5 | 6 (1+2+0+3) | +20:36.1 |
| 45 | 8 | Veronica Bessone |  | 1:10:23.8 | 5 (2+0+2+1) | +22:54.4 |
| 46 | 18 | Jo Kyung-ran | | 1:10:35.3 | 8 (2+1+2+3) | +23:05.9 |
| 47 | 30 | Nihan Erdiler | | 1:15:40.1 | 12 (3+3+5+1) | +28:10.7 |
gollark: (Apparently you can maybe get somewhat better performance from image recognition neural networks by feeding them "DCT" things which also conveniently happen to be what JPEG images contain, but almost nobody does this?)
gollark: Also that.
gollark: The image is just 3 matrices of R/G/B values.
gollark: There are 129057189471894718247141491807401825701892912 random details and things but that's the gist of it.
gollark: Then, you just move it a little bit toward lower loss (gradient descent).
References
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