Early Identification of Talent in Cyclo-Cross by Estimating Age-Independent Ability via Probit Regression

$12.00 plus tax (Refund Policy)

Buy Article:

Abstract:

Early identification of talented athletes is a goal of team managers, sponsors, and other stakeholders so that the benefits of resources devoted to sponsorship and salary can be maximized. A maximum likelihood method is presented that assigns athletes in a chosen set of races an overall ability rating based on their results. Overall ability is expressed as a quadratic function of age so that the relationship between ability and age is estimated simultaneously. This enables relative current ability and age-independent ability to be estimated. After excluding athletes near or beyond the peak age of performance, the most talented young athletes can be identified by a ranking based on the estimates of age-independent ability. The method is demonstrated by analyzing performances in the 2012/2013 cyclo-cross World Cup.

Keywords: AGE; CYCLING; MAXIMUM LIKELIHOOD; PROBIT REGRESSION; RACING; SPORTS

Document Type: Research Article

Publication date: April 1, 2014

More about this publication?
Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more