Search Results (107)

Tennis is a demanding sport that requires physical abilities and optimal body composition. The aim of this study was to investigate the anthropometric characteristics, body composition, and somatotype development of young Slovenian tennis players (754 boys and 514 girls aged 12 to 18 years) over the last two decades. Using standardised anthropometric measurements and the Heath-Carter method, somatotypes were calculated and analysed by age and gender. The results showed clear age- and gender-specific trends and differences in both somatotype profiles and detailed anthropometric characteristics. Significant differences were found in height, body mass, BMI, skinfolds, girths, and limb lengths, with gender differences becoming more pronounced in the older age groups. In boys, mesomorphy increased with age, reflecting an increase in musculature, while in girls, a shift from ectomorphic to endomorphic profiles was observed during adolescence, probably influenced by pubertal and hormonal changes. Significant sex-specific differences were observed in all three somatotype components in most age groups, especially in fat mass and muscle. The longitudinal design provides valuable data and insights into the evolving physical profiles of adolescent tennis players that support more effective talent identification and training. Despite the changes that have taken place in tennis over time, standardised measurement protocols ensured comparability, making the results relevant for practitioners working with adolescents in tennis development. Full article

The financial valuation of professional football players is influenced by multiple factors that evolve throughout a player’s career. This study examines these determinants using Gradient Boosting Machine Learning models, segmented by three age categories and three playing positions to capture the dynamic nature of player valuation. K-fold cross-validation is applied to measure accuracy, with results indicating that incorporating a player’s projected future potential improves model precision from an average of 74% to 84%. The findings reveal that the relevance of valuation factors diminishes with age, and the most influential features vary by position—shooting for attackers, passing for midfielders, and defensive skills for defenders. The study adopts a dynamic segmentation approach, providing financial insights relevant to club managers, investors, and stakeholders in sports finance. The results contribute to sports analytics and financial modeling in sports, with applications in contract negotiations, talent scouting, and transfer market decisions. Full article

(1) Background: Research examining the combined influence of anthropometric characteristics, chronological age, and training age on motor performance in handball is limited. Given the sport’s demands and the participation of both adolescent and adult athletes, understanding these relationships is essential for talent identification, personalized training, and long-term athlete development. This study aimed to explore how these variables affect motor performance indicators such as speed, agility, and explosive power. (2) Methods: A cross-sectional study was conducted involving 29 male handball players. Anthropometric data (height and body weight), chronological age, and training age were collected. Motor performance was assessed using a 30 m sprint, a vertical jump test, and an agility test. (3) Results: Chronological age showed a strong positive correlation with training age (r = 0.819), and moderate correlations with height, body weight, vertical jump, agility, and sprint time. Training age was moderately correlated with vertical jump (r = 0.465) and agility (r = 0.439). Height and body weight were positively associated with sprint time. BMI exhibited low but consistent correlations with all motor tests. Regression analysis revealed that height significantly predicted sprint performance (β = 0.401, p = 0.033), while BMI was not a significant predictor. No significant regression models were found for agility or vertical jump performance. (4) Conclusions: The results suggest that both chronological and training age influence certain aspects of motor performance in handball players. Height may serve as a useful predictor of sprint ability, but anthropometric indicators such as BMI appear insufficient for explaining performance in agility or explosive power tasks. These findings support the use of multidimensional and individualized approaches in athletic assessment and training design. Full article

The aim of this study was to explore new dimensions in the classification of positions in women’s basketball through a comprehensive statistical approach. A total of 386 players from the last three seasons (2021–2024) of the Women’s Euroleague were analyzed based on official performance statistics. Inclusion criteria required players to have participated in all three seasons, with a minimum of 20 min per game across at least five games per season. Using data from the last three seasons of the Women’s Euroleague, analysis of variance, principal component analysis, and k-means clustering were performed to identify specific playing patterns and roles. All performance indicators were normalized per minute to ensure comparability. ANOVA tests revealed significant statistical differences between traditional positions (p < 0.05), validating the relevance of positional analysis. PCA was then used to reduce dimensionality and extract the key performance components, while k-means clustering grouped players according to similar in-game behaviors. The results revealed significant differences between traditional positions (with a significance criterion of p < 0.05) and suggested the need for an updated position classification to better reflect the current dynamics of modern gameplay. According to Euroleague players’ performance, the cluster analysis revealed that three main roles emerged: “perimeter specialists”, “defensive specialists”, and “primary scorers and rebounders”. This reclassification highlights the increasing tactical and statistical complexity of women’s basketball, moving beyond rigid position labels. This new framework can positively influence training and competition strategies. It also provides coaches, analysts, and talent developers with a data-driven tool for roster optimization, role assignment, and game planning in elite-level women’s basketball. Full article

This project consists of a digital platform named Tri-Collab, where investors, entrepreneurs, and other agents (mainly talents) can cooperate on their ideas and eventually co-create. It is a digital means for this triad of actors (among other potential ones) to better adjust their requirements. It includes an app that easily communicates with a database of projects, innovation agents and their profiles, and the originality lies in the matching algorithm. Thus, co-creation can have better support through this assertive interconnection of players and their resources. This work also highlights the usefulness of the Canvas Business Model in structuring the idea and its dashboard, allowing a comprehensive view of channels, challenges and gains. Also, the potential of machine learning in improving matchmaking platforms is discussed, especially when technological advancements allow for forecasts and match people at scale. Full article

Background: A comprehensive understanding of variations in physical attributes both between and within young players is crucial for accurately identifying talent based on physical performance. This study aimed to compare maximum strength, jump, and sprint test results among young soccer players from different age categories and playing positions. Secondarily, this study aimed to analyze the association between maximum strength, jump, and sprint performances. Methods: A total of 103 players were categorized as U23, U19, U17, and U16. The players were placed into these age categories based on their football abilities. All participants completed standardized warm-ups, and testing procedures followed protocols established in previous studies. Results: Significant differences were found between age categories regarding the Isometric Mid-Thigh Pull (p < 0.001; η²_p = 0.33), Countermovement Jump (CMJ) (p < 0.001; η²_p = 0.50), Squat Jump (SJ) (p < 0.001; η²_p = 0.29), and sprint (p < 0.001; η²_p = 0.30) tests. No significant differences were detected in Broad Jump results between age categories. Moreover, no significant differences were observed in any physical capacities between playing positions. Furthermore, significant moderate-to-strong correlations (r = 0.30–0.86) were observed between all physical tests. Conclusions: Age categories can distinguish soccer players’ performance in different physical tests while no differences were observed between playing positions. Similar magnitude correlations were observed across all tests with only the CMJ and SJ being strongly correlated. Coaches and strength and conditioning professionals should apply a variety of tests to assess different physical qualities since they have different patterns between age categories. Full article

Background: Early-maturing players tend to have physical advantages during formative stages, but it remains unclear whether these advantages translate into long-term professional success. This study examines how biological maturation influences participation and career trajectories in youth football. Methods: Anthropometric and competitive data were collected from 47 players (13.53 ± 1.08 years) in a top-tier academy during the 2010–2011 season. The maturation status was assessed using the Tanner–Whitehouse II RUS method, and the career outcomes were tracked in 2024–2025. Results: Early-maturing players showed higher anthropometric values and greater participation. However, late maturers were more likely to reach professional football (p = 0.003), with all players competing in the top five European leagues belonging to the late-maturing group. Conclusions: Early maturation does not guarantee professional success. Strategies such as bio-banding and personalized training can reduce biases and support talent development, highlighting the need for a more holistic approach to player evaluation. Full article

Objectives: Water polo players ought to possess various physical capacities and well-developed cognitive functions that reflect the requirements of their specific playing position. Therefore, the objective of this study was to compare the cognitive performance, anthropometric characteristics and specific swimming capacities of youth water polo players in different playing positions. Methods: The present cross-sectional study involved 106 youth water polo players. The subjects were recruited as part of a project for talent identification and selection for the Croatian National Water Polo Team. Testing included anthropometric measurements, specific swimming capacities and cognitive performance (Stroop test). Results: Among the 106 youth water polo players, there were 15 goalkeepers (14.2%), 21 center-defenders (19.8%), 17 center-forwards (16.0%), 34 drivers (32.1%) and 19 wings (17.9%), with the mean age of 14.14 ± 0.38 years. The wings performed faster than center-forwards in both StroopOff time (wings: 57.14 ± 10.04 s vs. center-forwards: 67.03 ± 9.72 s, p = 0.016) and StroopOn time (wings: 66.18 ± 15.86 s vs. center-forwards: 80.24 ± 15.64 s, p = 0.019). Conclusions: In conclusion, this study demonstrated significant differences between different playing positions in youth water polo players, specifically between center-forwards and wings. They performed faster than center-forwards in all tested variables of the Stroop test, measures of psychomotor ability, response inhibition and motor speed, as well as in specific swimming capacities measured in the 50 m crawl and the 400 m crawl. The results of this study provide a valuable foundation for establishing developmental recommendations for different playing positions, aimed at improving player’s performance. These recommendations should take into account anthropometric characteristics, specific functional swimming capacities and cognitive functions that influence players’ game intelligence, which can be enhanced through properly designed training programs. Full article

Youth soccer academies are dominated by the older players in each annual age cohort because they are judged to be better at the time of selection. Failing to identify talented players because they are simply younger in their cohort is a problem of both discrimination and poor practice. One potential method for addressing such biases is to develop and use age- and size-corrected assessments of individual players using traits closely associated with match success. In this study, we quantified the relationship between age and size with individual passing and control performance in six different tests for 170 players between 10 and 20 years old from a Tier 1 academy in Brazil. Passing tests were significantly repeatable and performance varied among tests (df = 5; F = 432.2; p < 0.001). Overall passing performance (PC_P1)—based on all tests—was significantly positively associated with age (R² = 0.42, t = 10.67; p < 0.001), height (R² = 0.19, t = 6.13; p < 0.001) and mass (R² = 0.23, t = 6.90, p < 0.001). In addition, tests of passing and control could discriminate among groups of differing playing levels (test 1: F_(2,116) = 55.2, p < 0.001; test 3: F_(2,116) = 12.0, p < 0.001). Normative algorithms from this study can be used to compare athletes during selection trials and against an elite group, after taking age and size into account, and using such algorithms could vastly reduce the insipid age-biases that plague youth football. Full article

This study presents a comprehensive bibliometric analysis of growth and maturation (GAM) research in youth basketball. A systematic search of Web of Science (up to August 2024) identified 1160 records; after screening per bibliometric review guidelines, 141 relevant studies were selected. Descriptive analysis indicates an 11.59% annual increase in GAM publications since 2003, underscoring significant expansion of this field. The 576 authors contributing to these studies show a high degree of collaboration, averaging 5.42 co-authors per paper, and 52.60% of publications involve international partnerships. Citation network analysis reveals that GAM research on basketball players predominantly addresses sports performance, strength, and injuries. Core themes (e.g., maturity/maturation) are well integrated, while foundational topics such as growth, strength, and age, although central to the field, remain underexplored. These gaps highlight the need for more targeted investigations. Practically, the findings guide coaches, trainers, and sports administrators in designing developmentally appropriate training programs, implementing targeted injury-prevention strategies, and refining talent identification initiatives. By identifying key areas for further inquiry, this study seeks to strengthen youth basketball programs through growth-stage-specific training methods, optimized injury-prevention protocols, and a holistic approach to athlete development. Full article

Background: This cross-sectional study aims to clarify the relationship between coaches’ decisions and players’ relative age, biological maturation, and experience when identifying Under-14 (U14) players for the District and National Teams. Methods: A total of 360 male soccer players participating in the U14 national inter-association tournament, Lopes da Silva, were assessed. Birth dates were recorded, and players were categorized by birth quarter. Anthropometric measurements, fitness level (handgrip strength), and success indicators (performance evaluated by the coach, minutes played, and selection for the National Team) were documented, Maturation status was determined using bone age. Results: The majority of the sample was born in the 1st and 2nd quartiles regardless of maturation status. Morphological and functional differences between players born in different quartiles were no longer significant after controlling the effect of bone age. Late-maturing athletes played significantly fewer minutes. Among the players selected for the National Team, 89.9% were early or on-time maturers, and 92.9% were born in the first or second quartile of the year. While previous studies have shown reduced variability between bone and decimal age in the third and fourth quartiles, our findings indicate greater variability across all birth quartiles. Conclusions: Maturation status and relative age effect are crucial factors influencing coaches’ selection decisions. These findings highlight the need for a more equitable approach to talent identification, which should include track maturation bias avoiding the pursuit of short-term success and promoting long-term development programs for young soccer players. Undoubtedly, maturation status and relative age effect (RAE) play a significant role in a coach’s decision-making process. Full article

Background/Aims: Table tennis performance is influenced by various factors such as technique, tactics, and fitness. Additionally, many shots are executed at high speeds, developing significant levels of explosive strength in the lower extremities. This study aimed to assess the jump capacity and the elasticity index of the lower limbs among young table tennis players based on sex. Additionally, this study assessed leg asymmetries between the dominant and non-dominant limbs during jump tests. Methods: A total of 40 players (20 boys and 20 girls), aged 16–18 years, participated in the study. Vertical countermovement jump, squat jump, and horizontal jump tests were conducted to evaluate both vertical and horizontal jumping capacities, as well as leg asymmetries between the dominant and non-dominant limbs. Results: Differences were observed in both vertical and horizontal jumps, with male players achieving better results in all jumping capacities. However, female players obtained better values in elastic index. Additionally, significant differences were found between dominant and non-dominant legs in both male and female players. Conclusions: Considering that explosive strength is one of the most essential physical capacities in this sport, this information could prove valuable for talent identification, the design of training programs, and the optimization of physical performance monitoring systems in table tennis. Full article

The main purpose of this study was to evaluate the morphological characteristics of a sample of young international elite basketball players to create new reference values, using both somatotype and Bioelectrical Impedance Vector Analysis (BIVA). Moreover, we analyze the influence of age and maturation on anthropometric characteristics. Anthropometric measures (stature, body mass, body circumferences, skinfold thicknesses, and diameters) have been collected in a sample of 153 young basketball players of different age categories. From these measures, the endo-, ecto-, and mesomorph somatotypes components were calculated. In addition, impedance measurements were performed with a hand-to-foot bioimpedance analyser, and, subsequently, BIVA was carried out and biological maturity was estimated. A principal component analysis (PCA) has been assessed to reduce somatotype dimensionality. Almost all the collected variables differed between age groups. As regards the somatotype, the majority of the athletes were mesomorph–ectomorphal and the degree of homogeneity of the sample was high; the somatotype is aligned with that of the older athletes. Strong relationships were observed between mesomorphy, age, and bio-electric phase angle. Moreover, a tolerance ellipse graph was proposed as a reference for young elite athletes in basketball, and a new PCA-based method with one component was created to synthesize somatotype contents (eigenvalue = 2.42, R² = 0.807). Reference values for basketball players are needed by researchers, coaches, and practitioners for the process of talent identification and development. There are too many biological features to easily account for during growth, and field personnel need synthetic and more reliable approaches. Full article

During their career, most professional players in team sports encounter club-to-club transfers (CCTs). Indeed, it is unusual for a player to remain with a single club throughout their professional career, making these transitions pivotal moments in elite sports environments. However, there is lack of knowledge as concerns the psychosocial skills involved when players encounter CCT challenges. The current study was concerned with integrating Social Adaptability Skills (SAS) simultaneously with Acceptance and Commitment Therapy (ACT) to assist athletes with overcoming CCT challenges. A linear mixed model analysis using the likelihood ratio test revealed significant improvements in SAS, p < 0.05. Furthermore, the main effect of period was significant F(2, 203.17) = 286.07, p < 0.001, indicating that the propensity to enact and deploy SAS varied across the measurement periods (pre-, post-, and retention-test). These findings suggest that ACT-based mindfulness interventions may play a crucial role in reinforcing athletes’ enactment of SAS in overcoming CCT challenges. Overall, the results confirm that the SAS educational intervention effectively equipped athletes with the necessary psychosocial attributes to navigate CCT challenges. This study provides a foundation for future research and practical applications, emphasizing the need for structured psychological support within talent development programs. Full article

Muscular strength and explosiveness are generally known as factors that affect physical performance. Physical ability modeling has a profound connection with long-term athlete development and talent identification. The purpose of the current study was to investigate differences in contractile characteristics (maximal isometric force and maximal rate of force development) among various muscle groups in youth elite female team handball players (n = 35, 16.6 ± 1.1 years) compared to a control group (n = 28, 16.7 ± 1.1 years). The following tests were performed: isometric non-dominant hand grip, isometric dominant hand grip, isometric deadlift, isometric standing leg extension, and isometric bilateral ankle extension. For each subject, the maximal isometric force and maximal rate of force development were derived from the isometric strength tests. The research analyzed a total of twenty-four variables, presented in both absolute and relative values. Statistical analysis revealed significant differences among all pairs of variables in the absolute values of maximal isometric force (Λ = 0.531, F = 10.07, p = 0.000) and maximal rate of force development (Λ = 0.692, F = 5.08, p = 0.001) between the two groups. The most significant difference was found in the grip of the dominant hand, where the impact of the difference was 43.6% and 37.0% for the absolute values of force and explosiveness. Conversely, no differences were observed between the pairs of variables representing the relative values across the two subject groups, except for the dominant hand grip relative force (p = 0.006). The results provide information about the contractile potentials of important muscle groups in the game of handball, which could help in adapting strength training according to the specifics of the strength and explosivity development of young female handball players. Full article