Player performance in an intense sport such as basketball is known to be related to attributes such as speed, agility, and power. This study presents a comparative analysis of associations between anthropometric assessment and physical performance in different age groups of elite youth basketball players, while simultaneously identifying the predictors for speed and agility in these players. U14 (n = 44), U15 (n = 45), and U16 (n = 51) players were tested for anthropometry, lower-body power, speed, and agility. U16 players were found to be taller, heavier, more muscular than U14 and U15 players. In addition, the U16 group showed better performance in all performance tests. Age had a significant positive correlation with countermovement (CMJ) and drop jump (DJ) performance in U14 players, and a significant negative correlation with 15m and 20m sprint times in the U15 group. CMJ and DJ emerged as the most significant predictors for sprint and agility variables, respectively. Body fat percentage was found to be a significant predictor for the speed and agility tests in all age groups, but a negative lower-body power predictor. Therefore, besides all sport-specific and fitness tests, it is essential to place emphasis on the percentage of body fat when designing players’ individualized training programs, and during team selection.

The association between movement screening and physical fitness testing in athletes is conflicting, and therefore, this study aimed to examine the relationship between Functional Movement Screen (FMS) performance and physical performance in elite female youth football players. Twenty-two players from the national U16 team of Bosnia and Herzegovina underwent FMS and physical performance tests, including speed, agility, and jump assessments. Jump and speed performance score correlated well with ASLR, while the overall FMS score was not associated with any of the performance variables. These findings suggest that while certain movement patterns may impact athletic performance, the relationship between movement screening and physical performance is delicate. Coaches and practitioners should consider individual variations and sport-specific demands when interpreting FMS results in order to optimize and maximize athlete performance and reduce injury risks.

Player’s performance in an intense sport such as basketball is known to be related to attributes like speed, agility, and power. This study presents a comparative analysis of associations between anthropometric assessment and physical performance in different age-group elite youth basketball players, while simultaneously identifying the predictors for speed and agility in these players. U14 (n=44), U15 (n=45) and U16 (n=51) players were tested for anthropometry, lower body power, speed, and agility. U16 players were found to be taller, heavier, more muscular than U14 and U15 players. Also, the U16 group showed better performance in all performance tests. Age had a significant positive correlation with countermovement (CMJ) and drop jump (DJ) performance in U14 players, and a significant negative correlation with 10m and 20m sprint times in U15 group. CMJ and DJ emerged as the most significant predictors for sprint and agility variables, respectively. Body fat percentage was found to be a significant predictor for the speed and agility tests in all age groups, but a negative lower-body power predictor. Therefore, besides all sport-specific and fitness tests, it is essential to place emphasis on the percentage of body fat when designing players’ individualized training programs, and during team selection.

The aim of the present study was to describe the morphological and performance characteristics of elite handball players using data collected over the last two decades within the talent evaluation program of the Slovenian Handball Federation. A total of 1066 elite male handball players selected for one of the Slovenian national teams (U17, U19, U21 or senior) were recruited. The data were collected from 2007/8 to the 2021/22 season. The main effects were observed for: body height, body weight, and body mass index (BMI). The muscle mass percentage differed only between different age categories (p = 0.003; η2 = 0.015), while the fat mass percentage (FM%) differed between playing positions (p < 0.001; η2 = 0.107). Post-hoc comparisons showed that, within senior handball players, pivot players were 6.46 cm (p = 0.009) taller than wing players and heavier than goalkeepers (12.43 kg, p = 0.004), backcourts (13.30 kg, p < 0.001) and wings (17.83 kg, p < 0.001). Moreover, pivots had a greater BMI than goalkeepers (2.3 kg/m², p = 0.003), backcourts (2.62 kg/m², p < 0.001), and wings (3.07 kg/m², p < 0.001), while FM% was significantly higher in pivots compared to wings (4.32%, p = 0.010). Taking into consideration playing positions and age, the main effects were also observed for squat jump height, countermovement jump height, end-running speed, and VO_2max (all p < 0.001; η2 = 0.017 to 0.091). Both morphological and performance characteristics clearly differ across playing positions and age categories, which should be a valuable guide for coaches to develop position-specific talent identification programs and training plans.

The aim of the present study was to investigate whether the physiological parameters indicative of cardiorespiratory fitness obtained during the 30-15 intermittent fitness (30-15_IFT) test and the multistage laboratory treadmill endurance (TR) test differ. Nineteen elite handball players were recruited for the current study and assigned in a cross-over manner to one of two tests to be performed 48 h apart at each visit to the testing facility. The results showed that VO_2max (percentage difference [PC] = 6.1%; p = 0.004) and maximal running velocity (V) (PC = 19.4%; p < 0.001) were significantly higher for the 30-15_IFT test than that obtained during the TR test. Furthermore, the onset of blood lactate accumulation was shown to be significantly higher for all measures considered to predict it during 30-15_IFT compared to TR as follows: VO_2max (PC = 12.6%; p = 0.001), running speed (PC = 33.9%; p < 0.001), and maximal heart rate (PC = 7.5%; p < 0.001). The current study highlights the importance of sport-specific testing, particularly for measuring individual cardiorespiratory fitness in elite handball players, as TR may underestimate crucial variables used for both diagnostics and training prescription.

This study aimed to compare the anthropometric and performance characteristics of U16 and U18 male basketball players to better understand post-peak height velocity (PHV) developmental differences. A total of 31 athletes from the local international basketball academy participated in the research—15 from the U16 category (15.25 ± 0.86 years) and 16 from the U18 category (17.46 ± 0.34 years). Measurements included body composition, sprinting (with and without the ball), agility, and jump performance. The results revealed significant between-group differences in most anthropometric variables (p < 0.001), including body mass, BMI, skeletal muscle mass, fat-free mass, total body water, and segmental muscle mass. However, there were no significant differences in body height and body fat percentage. Performance comparisons showed that U18 players outperformed U16 players in agility (p = 0.026), 10 m and 20 m sprints (p = 0.045 and p = 0.016, respectively), and 20 m dribbling sprints (p = 0.011), while no significant differences were observed in jumping ability. These findings suggest that physical maturation strongly influences anthropometric parameters and partially affects performance characteristics. The results highlight the importance of age-appropriate training strategies that consider biological development stages in youth basketball.