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Alena Amialiusik

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62 BY Alena amialiusik 89534
Alena Amialiusik
COB 41 HLL 64 MTN 50 GC 39 ITT 46 SPR 47
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Information Amialiusik

Name
Alena Amialiusik
Nationality
belarus Belarus
Team
UAE Team ADQ
Birthday
6 February 1989
Age
37 years and 129 days
Weight
53 kg
Length
169 cm

Alena Amialiusik

Alena Amialiusik is a professional bike-rider from Belarus. Alena Amialiusik is contracted at UAE Team ADQ and was born on February 6 1989. Alena Amialiusik weighs 53 kg and is 169 cm long. More info on Alena Amialiusik will be avaialbe soon. Please take look at the skills of Alena Amialiusik at the rider-card at this page, those will be updated daily.

Current scores of Alena Amialiusik

We keep track of all indicator-scores of Alena Amialiusik (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 Alena Amialiusik.

  • Alena Amialiusik has an average strength of 62 points.
  • Amialiusik scores 41 points on riding on cobbles.
  • Alena Amialiusik scores 64 points on hills.
  • Amialiusik gets 50 points on mountains.
  • Alena Amialiusik has 39 points on riding General Classifications.
  • Amialiusik is ranked at 46 points in time trial.
  • Alena Amialiusik scores 47 points on sprinting.
  • Amialiusik gets 46 points on riding on the flat.
  • Alena Amialiusik indicates 55 points on doing a leadout.
  • Amialiusik gained 66 points on riding one-day races.
  • Alena Amialiusik has 48 points on racing prologues.
  • Amialiusik gets a score of 80 points on riding short time-trials.
  • Alena Amialiusik scores 27 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.

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For sponsorship or other collaboration opportunities, you can email [email protected]

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