The biathlon model has simulated today’s men 10km sprint race 300 000 times to provide the following prediction table:
| Bib | Name | Country | Chances of various positions | Winning chance | Chance for a medal | Predicted seconds behind |
|---|---|---|---|---|---|---|
| 38 | BOE Johannes Thingnes |
|
21% | 45% | 0s | |
| 50 | SAMUELSSON Sebastian |
|
14% | 33% | 10s | |
| 28 | FILLON MAILLET Quentin |
|
8% | 24% | 19s | |
| 40 | JACQUELIN Emilien |
|
7% | 21% | 22s | |
| 62 | BOE Tarjei |
|
7% | 20% | 22s | |
| 46 | CHRISTIANSEN Vetle Sjaastad |
|
5% | 16% | 27s | |
| 7 | LAEGREID Sturla Holm |
|
4% | 16% | 24s | |
| 52 | DESTHIEUX Simon |
|
4% | 15% | 29s | |
| 56 | LOGINOV Alexander |
|
4% | 14% | 30s | |
| 32 | PONSILUOMA Martin |
|
3% | 11% | 40s | |
| 16 | GUIGONNAT Antonin |
|
2% | 8% | 40s | |
| 23 | CLAUDE Fabien |
|
2% | 7% | 47s | |
| 1 | SMOLSKI Anton |
|
2% | 7% | 44s | |
| 54 | DOLL Benedikt |
|
2% | 6% | 47s | |
| 34 | NAWRATH Philipp |
|
2% | 6% | 46s | |
| 21 | BAKKEN Sivert Guttorm |
|
2% | 6% | 44s | |
| 30 | KUEHN Johannes |
|
1% | 5% | 51s | |
| 5 | LESSER Erik |
|
1% | 4% | 52s | |
| 44 | PIDRUCHNYI Dmytro |
|
1% | 3% | 55s | |
| 25 | POVARNITSYN Alexander |
|
1% | 3% | 54s | |
| 43 | SEPPALA Tero |
|
1% | 3% | 60s | |
| 49 | NELIN Jesper |
|
1% | 2% | 64s | |
| 27 | SEROKHVOSTOV Daniil |
|
<1% | 2% | 67s | |
| 59 | KHALILI Said Karimulla |
|
<1% | 2% | 60s | |
| 12 | ANDERSEN Filip Fjeld |
|
<1% | 2% | 65s | |
| 37 | KRCMAR Michal |
|
<1% | 2% | 61s | |
| 36 | LEITNER Felix |
|
<1% | 2% | 63s | |
| 73 | EDER Simon |
|
<1% | 2% | 59s | |
| 89 | REES Roman |
|
<1% | 1% | 66s | |
| 58 | STROLIA Vytautas |
|
<1% | 1% | 75s |

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