Remi cavagna 27111 78 FR
Remi Cavagna 52 COB 54 GC 60 HLL 90 ITT 33 MTN 45 SPR CyclingOracle.com
Remi cavagna 27111 78 FR
Remi Cavagna 52 COB 54 GC 60 HLL 90 ITT 33 MTN 45 SPR CyclingOracle.com

Information Cavagna

Remi Cavagna
france France
10 August 1995
28 years and 345 days
78 kg
186 cm

Remi Cavagna

Remi Cavagna is a professional bike-rider from France. Remi Cavagna is contracted at Movistar Team and was born on August 10 1995. Remi Cavagna weighs 78 kg and is 186 cm long. More info on Remi Cavagna will be avaialbe soon. Please take look at the skills of Remi Cavagna at the rider-card at this page, those will be updated daily.

Current scores of Remi Cavagna

We keep track of all indicator-scores of Remi Cavagna (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 Remi Cavagna.

  • Remi Cavagna has an average strength of 78 points.
  • Cavagna scores 52 points on riding on cobbles.
  • Remi Cavagna scores 60 points on hills.
  • Cavagna gets 33 points on mountains.
  • Remi Cavagna has 54 points on riding General Classifications.
  • Cavagna is ranked at 90 points in time trial, therewith the rider is one of the strongest time trialists.
  • Remi Cavagna scores 45 points on sprinting.
  • Cavagna gets 78 points on riding on the flat.
  • Remi Cavagna indicates 72 points on doing a leadout.
  • Cavagna gained 72 points on riding one-day races.
  • Remi Cavagna has 87 points on racing prologues, meaning the rider is specialized at riding prologues.
  • Cavagna gets a score of 79 points on riding short time-trials, therewith the rider is one of the best short time-trialists in the pro-peloton.
  • Remi Cavagna scores 89 points on riding long time-trials.

About CyclingOracle.com

CyclingOracle.com 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.com

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.com

WielerOrakel.nl can be found at Twitter, Instagram and YouTube named @wielerorakel. Further the ‘WielerOrakel podcast’ is our most important media outlet, you can listen to us in your favourite podcast-app. In the WielerOrakel podcast, cycling-addicts Tom and Thomas rejoice about the upcoming cycling races. They will be joined by several others, like data-mastermind Arjan Zoer, stat-expert Daniël and other guests from the cycling community. They elaborate on and discuss the predictions by the computer model.

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 with CyclingOracle.com?

Do you want to sponsor us of collaborate with CyclingOracle.com? Let us know by sending an e-mal to [email protected] and we will get in touch to explore the possibilities. That’s it for now, see you later.

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