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Magnus cort 7695 81 DK
Magnus Cort 53 COB 53 GC 83 HLL 74 ITT 51 MTN 69 SPR CyclingOracle.com
Magnus cort 7695 81 DK
Magnus Cort 53 COB 53 GC 83 HLL 74 ITT 51 MTN 69 SPR CyclingOracle.com

Information Cort

Name
Magnus Cort
Nationality
denmark Denmark
Birthday
16 January 1993
Age
31 years and 150 days
Weight
68 kg
Length
184 cm

Magnus Cort

Magnus Cort is a professional bike-rider from Denmark. Magnus Cort is contracted at Uno-X Mobility and was born on January 16 1993. Magnus Cort weighs 68 kg and is 184 cm long. More info on Magnus Cort will be avaialbe soon. Please take look at the skills of Magnus Cort at the rider-card at this page, those will be updated daily.

Current scores of Magnus Cort

We keep track of all indicator-scores of Magnus Cort (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 Magnus Cort.

  • Magnus Cort has an average strength of 81 points.
  • Cort scores 53 points on riding on cobbles.
  • Magnus Cort scores 83 points on hills.
  • Cort gets 51 points on mountains.
  • Magnus Cort has 53 points on riding General Classifications.
  • Cort is ranked at 74 points in time trial.
  • Magnus Cort scores 69 points on sprinting.
  • Cort gets 69 points on riding on the flat.
  • Magnus Cort indicates 67 points on doing a leadout.
  • Cort gained 65 points on riding one-day races.
  • Magnus Cort has 72 points on racing prologues.
  • Cort gets a score of 84 points on riding short time-trials.
  • Magnus Cort scores 65 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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