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 |
|---|---|---|---|---|---|---|
| 31 | FILLON MAILLET Quentin |
|
19% | 40% | 0s | |
| 18 | LAEGREID Sturla Holm |
|
10% | 27% | 11s | |
| 13 | SAMUELSSON Sebastian |
|
8% | 21% | 18s | |
| 48 | BAKKEN Sivert Guttorm |
|
6% | 19% | 20s | |
| 9 | JACQUELIN Emilien |
|
6% | 17% | 23s | |
| 22 | BOE Tarjei |
|
6% | 18% | 21s | |
| 15 | CHRISTIANSEN Vetle Sjaastad |
|
5% | 17% | 23s | |
| 11 | DOLL Benedikt |
|
5% | 15% | 27s | |
| 32 | PONSILUOMA Martin |
|
5% | 13% | 32s | |
| 29 | LESSER Erik |
|
4% | 12% | 29s | |
| 40 | NAWRATH Philipp |
|
3% | 9% | 38s | |
| 25 | DESTHIEUX Simon |
|
2% | 9% | 36s | |
| 34 | ANDERSEN Filip Fjeld |
|
2% | 9% | 37s | |
| 6 | KUEHN Johannes |
|
2% | 7% | 45s | |
| 53 | CLAUDE Fabien |
|
2% | 6% | 46s | |
| 37 | GUIGONNAT Antonin |
|
2% | 6% | 43s | |
| 27 | HOFER Lukas |
|
1% | 5% | 45s | |
| 3 | SEPPALA Tero |
|
1% | 5% | 48s | |
| 43 | ANDERSEN Aleksander Fjeld |
|
1% | 5% | 46s | |
| 76 | ZOBEL David |
|
1% | 4% | 53s | |
| 58 | ASPENES Sverre Dahlen |
|
1% | 4% | 51s | |
| 45 | REES Roman |
|
1% | 4% | 47s | |
| 63 | BJOENTEGAARD Erlend |
|
1% | 3% | 52s | |
| 82 | HORN Philipp |
|
1% | 3% | 59s | |
| 20 | EDER Simon |
|
1% | 2% | 53s | |
| 26 | KRCMAR Michal |
|
<1% | 2% | 60s | |
| 5 | WEGER Benjamin |
|
<1% | 2% | 60s | |
| 42 | LEITNER Felix |
|
<1% | 1% | 63s | |
| 1 | BORMOLINI Thomas |
|
<1% | 1% | 65s | |
| 55 | GIACOMEL Tommaso |
|
<1% | 1% | 78s |

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