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Femke de Vries

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90 NL Femke de vries 127994
Femke de Vries
COB 49 HLL 81 MTN 90 GC 90 ITT 79 SPR 80
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Information de Vries

Name
Femke de Vries
Nationality
netherlands Netherlands
Team
Team Visma | Lease a Bike
Birthday
16 April 1994
Age
32 years and 55 days
Weight
0 kg
Length
0 cm

Femke de Vries

Femke de Vries is a professional bike-rider from Netherlands. Femke de Vries is contracted at Team Visma | Lease a Bike and was born on April 16 1994. Femke de Vries weighs 0 kg and is 0 cm long. More info on Femke de Vries will be avaialbe soon. Please take look at the skills of Femke de Vries at the rider-card at this page, those will be updated daily.

Current scores of Femke de Vries

We keep track of all indicator-scores of Femke de Vries (and all other pro-riders) based on results in UCI-races in the past 3 years. Stats are updated every day in order to provide up-to-date scores. It gives you the possibility to check current rider-specialties of all riders. Here you can find the scores of Femke de Vries.

  • Femke de Vries has an average strength of 90 points, meaning the rider is one of the best cyclists in the world.
  • de Vries scores 49 points on riding on cobbles.
  • Femke de Vries scores 81 points on hills.
  • de Vries gets 90 points on mountains, meaning the rider is one of the best climbers in the pro-peloton.
  • Femke de Vries has 90 points on riding General Classifications, meaning the rider is one of the best GC-riders in the world.
  • de Vries is ranked at 79 points in time trial.
  • Femke de Vries scores 80 points on sprinting.
  • de Vries gets 67 points on riding on the flat.
  • Femke de Vries indicates 28 points on doing a leadout.
  • de Vries gained 81 points on riding one-day races.
  • Femke de Vries has 75 points on racing prologues.
  • de Vries gets a score of 94 points on riding short time-trials.
  • Femke de Vries scores 54 points on riding long time-trials.

About CyclingOracle

CyclingOracle is created by six cycling-addicts who found each other in their shared passion for cycling. Tom Nederend (@TomNederend), Arjan Zoer (@ZoerCyclingStat), Daniël Herbers (@StatsOnCycling), Thomas Zwetsloot (@zwetmas), Fleur Kok (@fleurrkok) and Stef van Zon (@stefvanzon) invest a lot of their free time in making content for the website and developing the computer algorithm predicting professional cycling races.

Computer-model of CyclingOracle

Arjan Zoer is the mastermind behind the smart computer-algorithm. Arjan developed the model and is working on improvements of the model on a daily basis. We will not share the depths of the model publically, but can give some insight in how it works. The model is based on results of riders in the past 3 seasons in which more recent results have a larger impact on the outcome. The model runs for every male and female rider in all UCI-races. That’s a lot of data. The result of race, combined with the profile, quality of the startlist and the UCI-classification of the race, determines on which skills a rider gets ‘points’. Riders score points between 20 and 100 on 13 different skills (categories), being: spring, flat, mountain, hills, time-trial, ITT-long, ITT- short, prologue, cobbles, leadout, GC, one-day races and stage-races. In addition, a rider gets points for his current shape (good results in recent races).

Some examples:

  • A rider wins a bunch sprint in Tour de Rwanda. He gets points awarded for ‘flat’ and ‘sprint’, but these points will make less of a difference compared to a bunch sprint-victory in Tour de France given the UCI-classification of the race (2.1) and weak field of participants.
  • A rider wins a bunch sprint in Giro d’Italia and his teammates get rewarded points for ‘leadout. If teammates of a sprinter have a lot of leadout-points, the computer lifts the chances of a sprinter to win a flat race which is likely to result in a bunch sprint. Team-quality is part of the model.
  • A rider solos to victory in Ronde van Vlaanderen: the rider gets rewarded a mix of points on skills like ‘cobbles’, ‘hills’, ‘one-day races’ and ‘time-trial’.
  • A rider wins the sprint of a small-group at a summit-finish of Alpe d’Huez. He gets points for ‘mountain’, but also for ‘sprint’ and ‘stage-races’. Moreover, these points will weigh heavily on a rider’s shape or form in order to predict future results in the same race better.

All these skills will be used to predicted a cycling-race. Depending on the profile and field of participants, the computer predicts the most likely winner. The probability a certain rider will win the race is called ‘Expected Win’.

How to find CyclingOracle

Follow us on X (@wielerorakel) to stay up to date with new updates, podcast episodes, predictions, and statistics. On Instagram (@cyclingoracle) we share not only predictions but also rising stars, Team of the Month features, and interviews with riders.

In the WielerOrakel Podcast, cycling fanatics Tom and Thomas get excited about the races, joined by guest appearances from data brain Arjan and stats wizard Daniël, as they provide context to the computer’s predictions.

Cycling Oracle Cycling Quiz

Every year the Cycling Oracle Cycling Quiz is organised in Café Scheltema in Leiden (NL). Cycling-lovers from several countries gather to fight fort he Challenge Cup and several other prizes. Follow us on Twitter to know more about the quiz.

Collaboration

For sponsorship or other collaboration opportunities, you can email [email protected]

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