The present thesis aimed to advance our understanding of athlete availability in the talent development process of developing elite athletes. The thesis contains five chapters, three of which are empirical studies. Chapter 1 provides a broad review of the literature surrounding athlete availability, athlete monitoring, and the talent development process of developing elite athletes. This review highlights the existing literature surrounding athlete availability in developing elite athletes and underscores the current gaps in the literature. It should be noted that further exploration of the literature is referenced in subsequent chapters. Chapter 1 ends with the aims of the thesis, namely, how does athlete availability and the determinants of athlete availability differ between non-funded (NF) and developing elite athletes? What are the determinants of athlete availability in a developing elite athletic population? How important is athlete availability, sleep, well-being, and health in the context of talent development and progression? In Chapter 2, over fourteen weeks, I examined differences between NF and developing elite athletes on determinants of availability (training, health, sleep, stress, and wellbeing). Findings revealed that, despite greater training loads, developing elite athletes were more available, and reported better sleep, lower levels of stress, and greater wellbeing than their NF counterparts. Chapter 3 used pattern recognition analyses to identify the combination of training and health variables that best discriminated between athletes with lower and higher training availability (relating to health and training modification) in a cohort of developing elite swimmers using pattern recognition analyses. Fifteen developing elite swimmers completed the Athlete Monitoring Questionnaire (AMQ) for 63 weeks, via an online platform, reporting their training and competition availability, training volumes, sleep, wellbeing, stress, and health (injury and illness). The findings identified that training availability is not determined through unidimensional constructs; rather availability is best understood via a multidimensional approach, which considers (at least) training, sleep, and wellbeing. Chapter 4 was written as a scientific report produced for Swim England and British Swimming. This empirical study aimed to identify the combination of training and health (biopsychosocial, training, and health) factors that were important to discriminate between higher potential - high-level athletes who were identified as most likely to progress in the high-performance system – and lower potential athletes – high-level athletes less likely to progress in the high-performance system. Using pattern recognition analyses, I examined data collected from the Swim England Performance Squad over 18 months. These data are related to the athletes' practice and training, psychosocial characteristics, coach-athlete relationships, health (e.g., injury, illness, wellbeing, and sleep), and training metrics (e.g., hours, distance, and perceived effort). The results of the pattern recognition analyses revealed that the main discriminators related to psychosocial factors, coach-athlete communication, wellbeing, sleep, and perceived challenge within training. Chapter 5 discusses the theoretical and applied implications of the current thesis. A common theme throughout the empirical chapters was that the determinants of athlete availability are best understood via a multidimensional approach. Accordingly, it is vital to measure and consider the interactive effect of a wide variety of bio-psycho-social variables together. Furthermore, athlete availability is important in progressing and thriving in the high-performance system. However, the influence of athlete availability varies at different stages of an athlete's development. This thesis has begun to advance the theoretical understanding between athlete availability and talent development. The pattern recognition analyses of the empirical Chapters 3 and 4 highlighted that practitioners wanting to improve athlete availability and their ability to thrive in the high-performance system might do so by reducing athlete psychological stress and improving wellbeing, improving athlete education on sleep behaviours, having a greater focus on coach-athlete communication around goal-setting, and supporting coaches to manage their wellbeing and athletes with more challenging personality profiles.