something about the % of fast people that went slower than expected. The one tonner is nice example as most of the high seeding people fall back to ride with there DC team mates .. so their final time is slower than expected pushing the beta up. Edit: From website First, an extract is done of all the riders who did the event in question, as well as the base event. Every rider with an index better than 100 is taken for this calculation. The assumption is made that the same riders should have the same index for both events, so the winner’s time of the event is now adjusted and the “beta” is calculated to achieve this.In statistical terms, a linear regression is performed for the event relative to the indexes of the people in the event who also rode one of the base events. This determines how much the winner’s time should be adjusted and what the difficulty factor “beta” should be. There is no subjectivity in this process – it is an automated calculation without human intervention.
