Early identification of talent in cyclo-cross by estimating age-independent ability via probit regression
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.
© Copyright 2014 International Journal of Performance Analysis in Sport. Taylor & Francis. All rights reserved.
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| Notations: | endurance sports junior sports |
| Published in: | International Journal of Performance Analysis in Sport |
| Language: | English |
| Published: |
2014
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| Online Access: | http://www.ingentaconnect.com/content/uwic/ujpa/2014/00000014/00000001/art00015 |
| Volume: | 14 |
| Issue: | 1 |
| Pages: | 153-161 |
| Document types: | article |
| Level: | advanced |