Milan San Remo 2021 Prediction
In Table 1 you can find the predictions for the Milan Sanremo results (a bit too late, published only at 10:40 a.m.).
- The prediction model is fitted on a modified inverted rank score. A high score means that a rider is likely to end up high in the ranking.
- The ‘Avg odds’ column is the average of the three best odds of an outright winner bet on the rider. This average is based on the odds published on oddschecker just before the start of the race (approximately 09:50 a.m.).
- The ‘Odds rank’ column is the rank of the rider when sorted on the average of the three best odds.
- We are continuously improving our prediction models and some type of predictions may be better than others. Always combine these cycling predictions with other information.
- The predictions are generated for the riders on the startlist that we downloaded the 19th of March from PCS.
If you have any questions don’t hesitate to send us a message.
Rank | Rider | score | Avg odds | Odds rank |
---|---|---|---|---|
1 | Wout van Aert | 100.0 | 4.50 | 2 |
2 | Mathieu van der Poel | 93.8 | 3.67 | 1 |
3 | Julian Alaphilippe | 90.1 | 7.79 | 3 |
4 | Max Schachmann | 88.8 | 57.00 | 16 |
5 | Michael Matthews | 79.6 | 25.33 | 5 |
6 | Yves Lampaert | 74.8 | 379.67 | 64 |
7 | Guillaume Martin | 73.3 | 434.33 | 67 |
8 | Tim Wellens | 73.2 | 218.67 | 48 |
9 | Matteo Trentin | 72.4 | 83.00 | 22 |
10 | Sam Bennett | 70.8 | 19.20 | 4 |
11 | Peter Sagan | 68.7 | 52.00 | 13 |
12 | Arnaud Démare | 67.6 | 45.00 | 9 |
13 | Søren Kragh Andersen | 66.5 | 54.67 | 14 |
14 | Davide Ballerini | 65.5 | 26.33 | 6 |
15 | Vincenzo Nibali | 65.0 | 114.67 | 29 |
16 | John Degenkolb | 64.6 | 169.00 | 40 |
17 | Luka Mezgec | 64.2 | 451.00 | 71 |
18 | Warren Barguil | 64.1 | 434.33 | 68 |
19 | Michał Kwiatkowski | 61.8 | 93.00 | 25 |
20 | Davide Formolo | 59.9 | 501.00 | 91 |