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 |
|---|---|---|---|---|---|---|
| 19 | FILLON MAILLET Quentin |
|
19% | 40% | 0s | |
| 9 | LAEGREID Sturla Holm |
|
10% | 27% | 11s | |
| 2 | SAMUELSSON Sebastian |
|
9% | 24% | 15s | |
| 22 | BOE Tarjei |
|
8% | 23% | 15s | |
| 53 | BAKKEN Sivert Guttorm |
|
6% | 18% | 21s | |
| 20 | PONSILUOMA Martin |
|
5% | 16% | 28s | |
| 25 | DOLL Benedikt |
|
5% | 15% | 27s | |
| 29 | JACQUELIN Emilien |
|
5% | 15% | 26s | |
| 16 | CHRISTIANSEN Vetle Sjaastad |
|
4% | 14% | 26s | |
| 59 | NAWRATH Philipp |
|
3% | 10% | 35s | |
| 13 | DESTHIEUX Simon |
|
3% | 11% | 31s | |
| 32 | LESSER Erik |
|
3% | 11% | 31s | |
| 27 | KUEHN Johannes |
|
2% | 7% | 43s | |
| 51 | GUIGONNAT Antonin |
|
2% | 7% | 40s | |
| 7 | SEPPALA Tero |
|
2% | 6% | 44s | |
| 66 | ANDERSEN Aleksander Fjeld |
|
2% | 6% | 40s | |
| 36 | ANDERSEN Filip Fjeld |
|
2% | 6% | 43s | |
| 85 | ZOBEL David |
|
1% | 6% | 43s | |
| 44 | CLAUDE Fabien |
|
1% | 5% | 48s | |
| 34 | HOFER Lukas |
|
1% | 5% | 47s | |
| 39 | REES Roman |
|
1% | 4% | 45s | |
| 23 | KRCMAR Michal |
|
1% | 2% | 55s | |
| 30 | WEGER Benjamin |
|
1% | 2% | 53s | |
| 4 | EDER Simon |
|
1% | 2% | 50s | |
| 11 | BORMOLINI Thomas |
|
<1% | 2% | 61s | |
| 77 | JAEGER Martin |
|
<1% | 1% | 70s | |
| 14 | ILIEV Vladimir |
|
<1% | 1% | 73s | |
| 24 | LEITNER Felix |
|
<1% | 1% | 62s | |
| 18 | STROLIA Vytautas |
|
<1% | 1% | 67s | |
| 46 | NELIN Jesper |
|
<1% | 1% | 71s |

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