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Simon clarke 568 79 AU
Simon Clarke 80 COB 38 GC 82 HLL 24 ITT 33 MTN 61 SPR CyclingOracle.com
Simon clarke 568 79 AU
Simon Clarke 80 COB 38 GC 82 HLL 24 ITT 33 MTN 61 SPR CyclingOracle.com

Information Clarke

Name
Simon Clarke
Nationality
australia Australia
Birthday
18 July 1986
Age
37 years and 313 days
Weight
63 kg
Length
175 cm

Simon Clarke

Simon Clarke is a professional bike-rider from Australia. Simon Clarke is contracted at Israel-Premier Tech and was born on July 18 1986. Simon Clarke weighs 63 kg and is 175 cm long. More info on Simon Clarke will be avaialbe soon. Please take look at the skills of Simon Clarke at the rider-card at this page, those will be updated daily.

Current scores of Simon Clarke

We keep track of all indicator-scores of Simon Clarke (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 Simon Clarke.

  • Simon Clarke has an average strength of 79 points.
  • Clarke scores 80 points on riding on cobbles.
  • Simon Clarke scores 82 points on hills.
  • Clarke gets 33 points on mountains.
  • Simon Clarke has 38 points on riding General Classifications.
  • Clarke is ranked at 24 points in time trial.
  • Simon Clarke scores 61 points on sprinting.
  • Clarke gets 68 points on riding on the flat.
  • Simon Clarke indicates 36 points on doing a leadout.
  • Clarke gained 86 points on riding one-day races, which makes the rider one of the best one-day specialists of the peloton.
  • Simon Clarke has 20 points on racing prologues.
  • Clarke gets a score of 20 points on riding short time-trials.
  • Simon Clarke scores 23 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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