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Jonas abrahamsen 27229 84 NO
Jonas Abrahamsen 90 COB 38 GC 71 HLL 27 ITT 35 MTN 70 SPR CyclingOracle.com
Jonas abrahamsen 27229 84 NO
Jonas Abrahamsen 90 COB 38 GC 71 HLL 27 ITT 35 MTN 70 SPR CyclingOracle.com

Information Abrahamsen

Name
Jonas Abrahamsen
Nationality
norway Norway
Birthday
20 September 1995
Age
28 years and 210 days
Weight
78 kg
Length
183 cm

Jonas Abrahamsen

Jonas Abrahamsen is a professional bike-rider from Norway. Jonas Abrahamsen is contracted at Uno-X Mobility and was born on September 20 1995. Jonas Abrahamsen weighs 78 kg and is 183 cm long. More info on Jonas Abrahamsen will be avaialbe soon. Please take look at the skills of Jonas Abrahamsen at the rider-card at this page, those will be updated daily.

Current scores of Jonas Abrahamsen

We keep track of all indicator-scores of Jonas Abrahamsen (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 Jonas Abrahamsen.

  • Jonas Abrahamsen has an average strength of 84 points.
  • Abrahamsen scores 90 points on riding on cobbles, meaning the rider is one of the best cobbled-specialists.
  • Jonas Abrahamsen scores 71 points on hills.
  • Abrahamsen gets 35 points on mountains.
  • Jonas Abrahamsen has 38 points on riding General Classifications.
  • Abrahamsen is ranked at 27 points in time trial.
  • Jonas Abrahamsen scores 70 points on sprinting.
  • Abrahamsen gets 74 points on riding on the flat.
  • Jonas Abrahamsen indicates 64 points on doing a leadout.
  • Abrahamsen gained 88 points on riding one-day races, which makes the rider one of the best one-day specialists of the peloton.
  • Jonas Abrahamsen has 20 points on racing prologues.
  • Abrahamsen gets a score of 20 points on riding short time-trials.
  • Jonas Abrahamsen scores 26 points on riding long time-trials.

About CyclingOracle.com

CyclingOracle.com is created by 5 cycling-addicts who found each other in their shared passion for cycling. Tom Nederend (@TomNederend), Arjan Zoer (@ZoerCyclingStat), Daniël Herbers (@StatsOnCycling), Thomas Zwetsloot (@zwetmas) en 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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