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

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  • Aaron Anderson

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.

Suggested Citation

  • Aaron Anderson, 2014. "Early Identification of Talent in Cyclo-Cross by Estimating Age-Independent Ability via Probit Regression," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 14(1), pages 153-161, April.
    • Handle: RePEc:taf:rpanxx:v:14:y:2014:i:1:p:153-161
    DOI: 10.1080/24748668.2014.11868711
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