Our biathlon model has simulated today’s men 10km sprint race 500 000 times to provide the following prediction table:
Bib | Name | Country | Chances of various positions | Winning chance | Chance for a medal | Predicted seconds behind |
---|---|---|---|---|---|---|
16 | SAMUELSSON Sebastian | 17% | 38% | 0s | ||
12 | BOE Johannes Thingnes | 14% | 34% | 3s | ||
34 | JACQUELIN Emilien | 8% | 23% | 14s | ||
31 | FILLON MAILLET Quentin | 8% | 22% | 14s | ||
24 | PONSILUOMA Martin | 6% | 17% | 24s | ||
21 | BOE Tarjei | 5% | 17% | 19s | ||
39 | DESTHIEUX Simon | 5% | 16% | 22s | ||
29 | CHRISTIANSEN Vetle Sjaastad | 4% | 14% | 22s | ||
37 | LOGINOV Alexander | 3% | 11% | 28s | ||
62 | LAEGREID Sturla Holm | 3% | 11% | 24s | ||
49 | CLAUDE Fabien | 2% | 8% | 38s | ||
47 | GUIGONNAT Antonin | 2% | 8% | 34s | ||
7 | LATYPOV Eduard | 2% | 7% | 37s | ||
26 | SMOLSKI Anton | 2% | 6% | 41s | ||
51 | DOLL Benedikt | 2% | 6% | 43s | ||
32 | NAWRATH Philipp | 1% | 6% | 42s | ||
57 | BAKKEN Sivert Guttorm | 1% | 5% | 39s | ||
18 | KUEHN Johannes | 1% | 4% | 49s | ||
PIDRUCHNYI Dmytro | 1% | 4% | 47s | |||
4 | SEPPALA Tero | 1% | 3% | 51s | ||
36 | KRCMAR Michal | 1% | 3% | 46s | ||
99 | LESSER Erik | 1% | 3% | 47s | ||
9 | WEGER Benjamin | 1% | 3% | 46s | ||
19 | NELIN Jesper | 1% | 3% | 55s | ||
30 | HOFER Lukas | 1% | 2% | 53s | ||
25 | TOMSHIN Vasilii | 1% | 2% | 54s | ||
2 | REES Roman | 1% | 2% | 50s | ||
14 | EDER Simon | 1% | 2% | 49s | ||
94 | POVARNITSYN Alexander | <1% | 2% | 58s | ||
59 | ANDERSEN Filip Fjeld | <1% | 2% | 60s |