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Julie De Wilde

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82 BE Julie de wilde 114776
Julie De Wilde
COB 89 HLL 54 MTN 33 GC 37 ITT 64 SPR 78
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Information De Wilde

Name
Julie De Wilde
Nationality
belgium Belgium
Team
Fenix-Deceuninck
Birthday
8 December 2002
Age
22 years and 223 days
Weight
62 kg
Length
180 cm

Julie De Wilde

Julie De Wilde is a professional bike-rider from Belgium. Julie De Wilde is contracted at Fenix-Deceuninck and was born on December 8 2002. Julie De Wilde weighs 62 kg and is 180 cm long. More info on Julie De Wilde will be avaialbe soon. Please take look at the skills of Julie De Wilde at the rider-card at this page, those will be updated daily.

Current scores of Julie De Wilde

We keep track of all indicator-scores of Julie De Wilde (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 Julie De Wilde.

  • Julie De Wilde has an average strength of 82 points.
  • De Wilde scores 89 points on riding on cobbles, meaning the rider is one of the best cobbled-specialists.
  • Julie De Wilde scores 54 points on hills.
  • De Wilde gets 33 points on mountains.
  • Julie De Wilde has 37 points on riding General Classifications.
  • De Wilde is ranked at 64 points in time trial.
  • Julie De Wilde scores 78 points on sprinting.
  • De Wilde gets 85 points on riding on the flat.
  • Julie De Wilde indicates 78 points on doing a leadout.
  • De Wilde gained 82 points on riding one-day races.
  • Julie De Wilde has 42 points on racing prologues.
  • De Wilde gets a score of 58 points on riding short time-trials.
  • Julie De Wilde scores 60 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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