- This prediction is slightly too late. I created it only at 15:00 hrs because I was working on some improvements (that are not implemented).
- 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.
- 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 5th of March from PCS.
If you have any questions don’t hesitate to send us a message.
|2||Tao Geoghegan Hart||79.1|
|8||Søren Kragh Andersen||47.7|
|13||David de la Cruz||23.8|