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61 MX Cesar macias 156105
Cesar Macias
COB 38 HLL 50 MTN 24 GC 26 ITT 20 SPR 68
cyclingoracle.com

Information Macias

Name
Cesar Macias
Nationality
mexico Mexico
Birthday
17 September 2003
Age
22 years and 273 days
Weight
0 kg
Length
0 cm

Cesar Macias

Cesar Macias is a professional bike-rider from Mexico. Cesar Macias is contracted at Burgos Burpellet BH and was born on September 17 2003. Cesar Macias weighs 0 kg and is 0 cm long. More info on Cesar Macias will be avaialbe soon. Please take look at the skills of Cesar Macias at the rider-card at this page, those will be updated daily.

Current scores of Cesar Macias

We keep track of all indicator-scores of Cesar Macias (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 Cesar Macias.

  • Cesar Macias has an average strength of 61 points.
  • Macias scores 38 points on riding on cobbles.
  • Cesar Macias scores 50 points on hills.
  • Macias gets 24 points on mountains.
  • Cesar Macias has 26 points on riding General Classifications.
  • Macias is ranked at 20 points in time trial.
  • Cesar Macias scores 68 points on sprinting.
  • Macias gets 48 points on riding on the flat.
  • Cesar Macias indicates 39 points on doing a leadout.
  • Macias gained 64 points on riding one-day races.
  • Cesar Macias has 20 points on racing prologues.
  • Macias gets a score of 20 points on riding short time-trials.
  • Cesar Macias scores 20 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.

Collaboration

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