The prediction of sport performance is relevant for identifying talent and establishing training strategies. The aim of this paper is to establish a model that has the ability to predict the performance of triathletes. It was used discriminant analysis, with is a multivariate analysis technique. 21 volunteers, 7 professionals and 14 amateurs, all male, was selected. Anthropometric, physiological and training variables, easy to be measured, without the need to use specific laboratories were selected. This study showed that the use of some variables can seek to infer the performance triathletes. The correct prediction rating was above 92 %, which can be considered very good. The expected performance is vital, whether for the detection of talent, whether for the structuring of training, which shows the importance of developing models of this kind.
© Copyright 2017 The Russian Journal of Physical Education and Sport. Naberezhnye Chelny State Pedagogical University. Alle Rechte vorbehalten.