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 |

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