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ABSTRACTPurpose:Monitoring athletic development in youth soccer can help sporting professionals monitor athletic development and evaluate the effectiveness of training interventions. However, long-term follow up in talent development programmes in youth soccer is complicated. Therefore, the aim of this study was to forecast the developmental trajectories of explosive leg power in youth soccer players. Methods:Mixed effects regression models were used to forecast explosive leg power (countermovement (CMJ) and standing broad jump (SBJ)) in a longitudinal sample of 2201 youth soccer players from two high level Belgian acedemies and the Belgian National teams. Players were aged between 6 and 20 years (mean age = 13.04 ± 3.18 y) and were subdivided into three age cohorts (6–10, 11–15, and 16–20 y) for CMJ and two age cohorts (6–16, and 17–20 y) for SBJ. Results:This study was able to accurately forecast explosive leg power using different regression equations in each age cohort. Conclusions:Researchers, coaches, and sporting professionals can use these methods to either predict future explosive leg power from current performance measures, monitor the development of explosive leg power, or assess the effectiveness of training interactions aimed at altering predicted developmental trajectories.

ABSTRACTTalent identification and development in football is a complex, multifaceted process. Currently, most of the research in this domain is conducted in highly ranked, established football nations where the sport is immensely popular (e.g. Germany, Portugal, Belgium, etc.). Whilst these nation’s data are informative to some degree, there is little conclusive evidence supporting the effectiveness of traditional talent identification approaches. Typically, talent identification involves actively selecting promising players with early performance superiorities without considering the changes that can occur during development. Consequently, it is difficult to develop a framework for emerging football nations as the repercussions of adopting traditional approaches to talent identification are likely greater due to differences the size of the talent pool, accessibility of systematic training environments, and availability of financial and logistical resources. It is proposed that emerging football nations should focus on: preventing active deselection and dropout to maximise the size of the talent pool, mitigating the influence of confounding factors on talent identification, and longitudinally tracking players throughout development to document the performance profiles that lead to football expertise. Collectively, these strategies can reduce the reliance on identifying players based on early performance superiorities and focus on holistic, long-term development.