- 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 19th of March from PCS.
If you have any questions don’t hesitate to send us a message.
|1||Mathieu van der Poel||100.0|
|2||Wout van Aert||94.4|
|4||Greg Van Avermaet||55.4|
|14||Iván García Cortina||34.3|
|17||Søren Kragh Andersen||31.9|