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Ricarda Bauernfeind

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83 DE Ricarda bauernfeind 96835
Ricarda Bauernfeind
COB 20 HLL 72 MTN 87 GC 80 ITT 41 SPR 68
cyclingoracle.com

Information Bauernfeind

Name
Ricarda Bauernfeind
Nationality
germany Germany
Team
Lidl-Trek
Birthday
1 April 2000
Age
26 years and 70 days
Weight
53 kg
Length
166 cm

Ricarda Bauernfeind

Ricarda Bauernfeind is a professional bike-rider from Germany. Ricarda Bauernfeind is contracted at Lidl-Trek and was born on April 1 2000. Ricarda Bauernfeind weighs 53 kg and is 166 cm long. More info on Ricarda Bauernfeind will be avaialbe soon. Please take look at the skills of Ricarda Bauernfeind at the rider-card at this page, those will be updated daily.

Current scores of Ricarda Bauernfeind

We keep track of all indicator-scores of Ricarda Bauernfeind (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 Ricarda Bauernfeind.

  • Ricarda Bauernfeind has an average strength of 83 points.
  • Bauernfeind scores 20 points on riding on cobbles.
  • Ricarda Bauernfeind scores 72 points on hills.
  • Bauernfeind gets 87 points on mountains, meaning the rider is one of the best climbers in the pro-peloton.
  • Ricarda Bauernfeind has 80 points on riding General Classifications.
  • Bauernfeind is ranked at 41 points in time trial.
  • Ricarda Bauernfeind scores 68 points on sprinting.
  • Bauernfeind gets 54 points on riding on the flat.
  • Ricarda Bauernfeind indicates 20 points on doing a leadout.
  • Bauernfeind gained 71 points on riding one-day races.
  • Ricarda Bauernfeind has 20 points on racing prologues.
  • Bauernfeind gets a score of 27 points on riding short time-trials.
  • Ricarda Bauernfeind scores 40 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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