This blog shows the top 100 of the UCI World Ranking on april 6th and the Cycling Elo for the different skills.

This blog shows the top 100 of the UCI World Ranking and the Cycling Elo for the different skills.

Inequality between cycling team did increase, mostly because of growing differences between WT and PCT teams. This is caused for the biggest part caused by the best climbers and GC-riders who went from PCT to WT teams and little less by the best hill specialist and time trialists. Within WT teams the main reason for growing differences are sprinters who are now more concentrated in the best WT teams.

The cycling predictions by Mortirolo are purely based on a statistical model, not on (expert based) opinions. The method used is a combination of Bayesian modelling and machine learning. The statistical model uses the results of the same (type) of races during the last ten years to determine which individual and team characteristics are important predictors for the classification of that race. Subsequently, the statistical model is used to run 10000 simulations of a race and produces probabilities for each rider to win, end up on the podium and in the top 10 and a predicted classification.

Click on the links below to see the top 50, the ratings and the old ranking and ratings of the different types of races. Mountains .tabwid table{ border-collapse:collapse; line-height:1; margin-left:auto; margin-right:auto; border-width: 0; display: table; margin-top: 1.275em; margin-bottom: 1.275em; border-spacing: 0; border-color: transparent; } .tabwid_left table{ margin-left:0; } .tabwid_right table{ margin-right:0; } .tabwid td { padding: 0; } .tabwid a { text-decoration: none; } .