The 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 |
---|---|---|---|---|---|---|
20 | FILLON MAILLET Quentin |
|
19% | 42% | 0s | |
17 | SAMUELSSON Sebastian |
|
13% | 32% | 9s | |
11 | LAEGREID Sturla Holm |
|
11% | 30% | 9s | |
30 | PONSILUOMA Martin |
|
7% | 19% | 25s | |
26 | CHRISTIANSEN Vetle Sjaastad |
|
6% | 18% | 22s | |
31 | DOLL Benedikt |
|
5% | 16% | 26s | |
29 | BAKKEN Sivert Guttorm |
|
5% | 17% | 24s | |
6 | JACQUELIN Emilien |
|
5% | 15% | 27s | |
3 | DESTHIEUX Simon |
|
3% | 12% | 31s | |
53 | NAWRATH Philipp |
|
3% | 10% | 36s | |
33 | LESSER Erik |
|
3% | 10% | 33s | |
50 | GUIGONNAT Antonin |
|
3% | 10% | 36s | |
77 | ZOBEL David |
|
2% | 8% | 40s | |
68 | ANDERSEN Aleksander Fjeld |
|
2% | 7% | 39s | |
9 | KUEHN Johannes |
|
2% | 7% | 45s | |
14 | SEPPALA Tero |
|
1% | 6% | 46s | |
81 | ASPENES Sverre Dahlen |
|
1% | 6% | 44s | |
27 | HOFER Lukas |
|
1% | 6% | 45s | |
1 | REES Roman |
|
1% | 4% | 45s | |
41 | ANDERSEN Filip Fjeld |
|
1% | 3% | 53s | |
12 | KRCMAR Michal |
|
1% | 2% | 56s | |
23 | EDER Simon |
|
1% | 2% | 52s | |
15 | NELIN Jesper |
|
<1% | 2% | 65s | |
65 | GIACOMEL Tommaso |
|
<1% | 2% | 71s | |
13 | STROLIA Vytautas |
|
<1% | 2% | 66s | |
47 | BORMOLINI Thomas |
|
<1% | 2% | 62s | |
21 | LEITNER Felix |
|
<1% | 1% | 64s | |
70 | JAEGER Martin |
|
<1% | 1% | 73s | |
45 | ILIEV Vladimir |
|
<1% | 1% | 78s | |
28 | BAUER Klemen |
|
<1% | 1% | 77s |