Search Results (564)

Background: Morphological characteristics influence physical performance in youth basketball, but their effects may differ by developmental stage. This study compared the predictive role of morphological variables on motor performance between U13 and U15 male players. Methods: Male youth basketball players (N = 89) were assigned to U13 and U15 groups. Morphological variables included height, body mass, body fat percentage, and fat-free mass (FFM). Motor tests evaluated squat jump (SJ), countermovement jump (CMJ), 10 m and 20 m sprints, T-test, Y-test and Stop-and-Go change-of-direction speed and reactive agility (RA). Pearson correlations and multiple linear regressions assessed relationships and predictive effects. Results: In U13 players, several morphological variables correlated with performance: height and FFM were positively related to jumping and sprinting, while body fat was negatively associated with most measures (p < 0.05). Regression models explained substantial variance in sprint (ranging up to _AdjR² = 0.44) and jump performance (ranging up to _AdjR² = 0.32), though individual predictors were not always significant (p > 0.05). In U15 players, fewer associations emerged as body fat remained a significant negative predictor of jumping and agility, and greater body mass was associated with improved sprint performance (p < 0.05). No significant morphological predictors were found for RA in either group (p > 0.05). Conclusions: Morphological traits exert a stronger, multifactorial influence on performance in younger athletes, whereas body composition and particularly body fat are more influential in older adolescents. These results underscore the need to consider the developmental stage when assessing and training male youth basketball players. Full article

Background: Monitoring external load in team sports is essential for performance optimization, injury prevention, and individualized training prescription. Although Local Positioning Systems (LPS) are widely used for indoor athlete tracking, they require wearable devices and specialized infrastructure. Recent advances in artificial intelligence and computer vision allow markerless athlete tracking; however, their validity for basketball remains insufficiently explored. Objective: To evaluate the validity of a deep-learning multi-camera computer-vision system for quantifying external-load variables in basketball compared with a commercial LPS. Methods: The framework integrated fisheye video acquisition, player detection, and pose estimation using YOLOv11x-Pose and player re-identification through ResNet-50 and FAISS similarity search. Positional data were transformed into real-world court coordinates to derive distance, acceleration, deceleration, player load, and average speed metrics. Outputs were compared with measurements obtained from Kinexon LPS. Results: Strong correlations were observed for total distance (r = 0.92), acceleration counts (r = 0.90), deceleration counts (r = 0.92), and player load (r = 0.81), while average speed showed a moderate-to-strong correlation (r = 0.66). ICC and Bland–Altman analyses indicated agreement between systems. Conclusions: The proposed computer-vision system demonstrated high agreement with LPS, supporting its use as a valid, non-invasive, and scalable solution for external load monitoring in basketball. Full article

Automated video clipping can reduce analysts’ workload and provide timelier feedback for basketball coaching. This study developed and evaluated an application-oriented framework for extracting offensive tactical clips from basketball game videos using You Only Look Once Version 8 (YOLOv8)-based player detection, long short-term memory (LSTM)-based temporal modeling, basketball-specific rule constraints, and automatic clip generation. The system focused on dribble hand-off, pick-and-roll, and horns offense. Ten full-game videos from the Paris 2024 Olympic men’s basketball tournament were used as an independent application-level evaluation sample. Processing efficiency was compared with manual clipping, event-level recognition was evaluated using true positives, false positives, false negatives, precision, recall, and F1-score, and coach-rated clip quality was assessed. A rule-based baseline without LSTM was also included. The automated system required 3.12 min, 3.69 min, and 1.96 min per game for the three tactical categories, respectively, significantly less than manual clipping times of 54.85 min, 67.22 min, and 35.01 min (p < 0.001). The full YOLOv8–LSTM workflow achieved F1-scores of 0.3922, 0.4091, and 0.5818, outperforming the rule-based baseline but still showing limited recognition reliability. Coach-rated quality was lower for automated clips than for manual clips (3.8 vs. 8.4). These findings suggest that the system can improve efficiency but should currently be used only as a preliminary candidate-clip generation tool requiring expert review. Full article

Body composition and anthropometric characteristics are considered relevant factors in youth basketball performance, yet evidence in early adolescence remains limited. This study aimed to analyze the influence of these characteristics on competitive performance in U14 male basketball players from Portuguese regional selection teams. Ninety-six athletes were assessed during a national youth tournament using a cross-sectional, descriptive, and correlational design. Body composition variables (weight, height, BMI, muscle mass, fat mass, fat-free mass, bone mass, and total body water) were measured using a Tanita MC-780MA bioelectrical impedance analyzer. Competitive performance was evaluated through the Performance Index Rating (PIR), normalized per minute of play. Spearman’s correlations showed moderate positive associations between PIR and height (ρ = 0.296), muscle mass (ρ = 0.280), fat-free mass (ρ = 0.280), bone mass (ρ = 0.274), and total body water (ρ = 0.262). Although multivariable regression analyses did not identify significant individual predictors due to severe multicollinearity, principal component analysis revealed an “overall body size” factor, mainly reflecting lean and bone mass, that significantly predicted PIR (β = 0.046, p < 0.001). Physically more developed players tended to demonstrate higher competitive effectiveness. Monitoring body composition may support youth development programs when combined with functional and technical assessments to inform individualized training and talent identification strategies. Full article

This systematic review aimed to evaluate the tests used to assess neuromuscular performance in adult female basketball players and to provide evidence-based recommendations for practice and future research. Following PRISMA guidelines and registered in PROSPERO (CRD42025638889), four databases were systematically searched from inception to April 2026. A total of 62 studies were included in the qualitative synthesis and 39 in the quantitative analysis. The most frequently reported assessments examined anthropometry, muscular power, linear speed, change-of-direction (COD) performance, strength, anaerobic capacity, and aerobic capacity. However, substantial variability was observed in testing protocols, outcome variables, and reporting methods. Across studies, performance outcomes showed considerable overlap between competition levels, suggesting that competitive standard alone is not a reliable indicator of neuromuscular performance. Differences in anthropometric characteristics and physical performance were largely influenced by playing position and contextual factors. A key finding was the predominant reliance on outcome-based metrics (e.g., jump height, sprint time), with limited use of force–time variables that provide deeper insight into neuromuscular function. In addition, important methodological limitations were identified, including inconsistent testing procedures, lack of standardized reporting, and the absence of female-specific considerations such as menstrual cycle status. To address these limitations, this review proposes a practical testing framework that integrates reliable, sport-specific, and time-efficient assessment methods. Future research should prioritize the implementation of standardized protocols, the inclusion of force–time analysis, and the development of large-scale descriptive datasets specific to female basketball players. These advances are essential to improve performance monitoring, optimize training prescription, and enhance injury risk management in this population. Full article

Understanding muscle activation patterns during sport-specific skills is essential for optimizing performance and training strategies. In basketball, upper limb actions such as passing and receiving require precise coordination and effective neuromuscular control. The main goal of this study was to analyze and compare the muscle activity of the biceps brachii and triceps brachii during the execution and reception of the two-handed chest pass in basketball players with different levels of competitive experience. Surface electromyography (EMG) data were collected from 14 federated athletes, aged between 11 and 29 years, using the BioSignal Plux system. Participants were allocated into two groups according to their playing experience. Muscle activation was analysed in terms of activation time (AT) and percentage of muscle activation (%MA), normalised to maximum voluntary contraction (MVC). A linear mixed model was used to evaluate the effects of experience level, limb dominance, and their interaction while accounting for repeated measures within participants. No significant differences were observed between dominant and non-dominant limbs for any variable. Significant differences between experience/age groups were identified mainly in the triceps brachii, particularly for activation time in the lateral head and %MA in the long head. In general, more experienced/aged athletes demonstrated higher levels of neuromuscular activation and shorter activation times, suggesting different motor control strategies. A significant positive association was found between years of practice and %MA of the long head of the triceps brachii. These findings provide novel insights into neuromuscular recruitment during both the execution and reception phases of the basketball chest pass and may inform training strategies aimed at enhancing technical efficiency across developmental stages. Full article

Purpose: Field-based tests are widely used to assess propulsion and sprint performance in wheelchair athletes; however, their ability to discriminate between functional performance profiles associated with different impairment characteristics remains insufficiently explored. This study evaluated the discriminative capacity of propulsion, sprint, and manoeuvrability tests in elite wheelchair court athletes. Methods: Nineteen male elite athletes (ten wheelchair basketball, nine wheelchair rugby) performed the initial maximum push-rim propulsion (IMPRP), a 12 m linear sprint (3, 5, and 12 m splits), and a wheelchair manoeuvrability test (3L3R). Test reliability was assessed using intraclass correlation coefficients (ICC). Results: Test reliability was high across all assessments (ICC ≥ 0.82). The higher functional performance profile group demonstrated substantially greater IMPRP mechanical outputs, including mean velocity (ES = 2.69), maximum velocity (ES = 3.29), mean power (ES = 1.75), and maximum power (ES = 2.09) (all p < 0.001). Sprint performance also showed large between-group differences at 5 m (ES = 1.53) and 12 m (ES = 1.68) (p < 0.001), whereas manoeuvrability differences were moderate (ES = 0.62; p = 0.043). Conclusions: IMPRP and short-distance sprint tests appeared sensitive to differences between ecologically distinct wheelchair court sport athletes characterised by different real-world functional performance profiles. These field-based assessments may be useful for performance monitoring and may complement ecologically distinct athlete groups in wheelchair court sports. Full article

Background/Objectives: Iron deficiency (ID) can occur before anemia and may impair performance, recovery, and hematological function, particularly in athletes. Female basketball players may be especially vulnerable due to high training demands and sex-specific iron losses. Therefore, this study aimed to compare nutrient intake and hematological and iron status biomarkers between ID and non-ID female basketball players, and to examine diet–biomarker correlations. Methods: Twenty-four female basketball players completed the study. Athletes were stratified by ferritin, with ID defined as <30 μg/L, resulting in 12 athletes per group. Dietary intake was assessed using a 48 h food record. Energy, macronutrients, fiber, iron, calcium, folate, vitamin B₁₂, and vitamin C intakes were analyzed. Blood biomarkers included red blood cells (RBCs), hemoglobin (HGB), hematocrit (HTC), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), ferritin, serum iron, transferrin, total iron-binding capacity (TIBC), and unsaturated iron-binding capacity (UIBC). Results: ID athletes had significantly lower fiber, iron, folate, and vitamin C intakes than non-ID. They also showed significantly lower HGB, HTC, MCV, MCH, and ferritin, and higher transferrin, UIBC and TIBC. Iron intake correlated positively with HGB, HTC, MCV, MCH, serum iron, and ferritin, and negatively with UIBC. Conclusions: Iron deficient female basketball players may present less favorable dietary profiles and altered hematological and iron status biomarkers. In this context, quarterly assessment of iron status biomarkers should be supported by nutrition education aimed at improving iron intake, alongside monitoring of energy and macronutrient intake in relation to training load. These approaches may help identify athletes requiring nutrition-focused support, although larger studies with longer-term dietary assessment are warranted. Full article

The present study examined whether offensive play-type indicators in professional basketball reflect broader latent playing-style dimensions and whether play-type usage or efficiency is more strongly associated with competitive success. Data were obtained from the official NBA statistics website and included 6400 games across five seasons (2019–2020 to 2023–2024), comprising 5979 regular-season games and 421 playoff games. For each offensive play type, two indicators were analysed separately: usage percentage and efficiency, operationalised as points per possession (PPP). Principal component analyses were conducted independently for regular-season and playoff data, and for usage and efficiency variables. In addition, linear mixed-effects models were used to examine the relationship between play-type indicators and competitive success while accounting for games nested within teams. Only regular-season efficiency variables showed adequate sampling adequacy for factorial analysis (KMO = 0.774), yielding a four-component solution that explained 58.85% of the total variance. In the mixed-effects models, usage variables were not significantly associated with success, whereas efficiency indicators showed greater explanatory value. Specifically, pick-and-roll ball handler PPP and spot-up PPP emerged as the strongest positive predictors of success, with smaller effects observed for roll-man PPP and cut PPP. The efficiency-only model improved model fit relative to the frequency-only model (marginal R² = 0.799 vs. 0.755), whereas adding usage variables to efficiency provided only a negligible additional contribution (marginal R² = 0.803). These findings suggest that, in the NBA, competitive success is more closely related to the effectiveness with which offensive actions are executed than to the relative frequency with which they are used. From an applied perspective, play-type efficiency appears to provide more actionable information than usage-based summaries for performance analysis and tactical decision-making. Full article

Background: Smartphones are an integral part of young people’s everyday lives and offer an interactive digital environment that can be incorporated into sport training to support engagement and skill development. Methods: A total of 40 male basketball players aged 12–14 years participated in this quasi-experimental study. Participants were allocated by existing school teams, with one team assigned to the experimental group (n = 20) and the other to the control group (n = 20). Both groups completed a six-month training period consisting of three sessions per week. Hand–eye coordination and dribbling-related performance were evaluated using two standardized mobile-application-based field tests with both hands during initial and final assessments. The data were analyzed using mixed-design repeated-measures ANOVA, with time as the within-subject factor and group as the between-subject factor. Results: The mixed-design repeated-measures ANOVA showed significant time × group interactions for all assessed outcomes, indicating greater improvements in coordination performance and bilateral upper-limb performance in the experimental group compared with the control group. Conclusions: These results indicate that mobile-application-based training can be a practical and effective approach for developing coordination and supporting bilateral upper-limb performance in youth basketball players. Full article

Deploying modern deep learning-based vision systems on humanoid robots remains challenging due to limited onboard computational resources and legacy software constraints. This paper presents a modular vision system for practical object detection on resource-constrained humanoid platforms, based on the YOLOv9 framework. The proposed architecture adopts a dual-environment design, decoupling the perception pipeline from the robot control system to enable compatibility between modern deep learning libraries and a ROS-based platform. To support efficient deployment, task-specific lightweight models are trained and integrated into a modular pipeline optimized for CPU-only inference. The system is evaluated across multiple task scenarios derived from the FIRA RoboWorld Cup (Hurocup) competition, including Marathon, Basketball, and Archery. Performance is assessed in terms of detection accuracy and computational efficiency, demonstrating that reliable perception can be achieved at 4–8 FPS under constrained hardware conditions. The results show that the proposed approach improves robustness compared to traditional geometric vision methods, particularly in dynamic and visually complex environments, while maintaining practical responsive task-level perception for robotic decision-making. The work highlights the trade-offs between accuracy, computational cost, and system responsiveness and demonstrates the feasibility of deploying modern object detection models on embedded humanoid platforms. Full article

High-intensity interval training (HIIT) and small-sided games (SSG) are popular conditioning tactics in team sports, but their relative efficiency among female basketball players is uncertain. The aim of this study was to examine and compare the effects of a six-week HIIT and SSG intervention on the physical performance of elite female basketball players. Forty-four participants (20.98 ± 4.58 years) were randomly assigned to one of three groups: HIIT (n = 14), SSG (n = 14), or control (n = 16). Pre- and post-intervention evaluations assessed sprint performance (0–10, 0–20, 0–30 m), agility (Pro-agility, Zig-zag, 9-6-3-6-9 tests), vertical jump height (CMJ, CMJA, SJ), repeated sprint ability (RSA), and aerobic capacity (VO₂max, VIFT, MAS). HIIT and SSG significantly improved all performance measures compared to the control group (p < 0.001, ηp² = 0.365–0.809); however, there were no significant differences between the two experimental groups. HIIT had a slightly greater effect on linear sprinting, but SSG was more effective for agility and aerobic performance. Body composition remained unchanged. These data suggest that HIIT and SSG are both effective training methods for improving speed, agility, explosive power, RSA, and aerobic capacity in female basketball players. Incorporating both strategies into an organized training program can improve sport-specific performance and overall conditioning. Full article

Background: Plyometric training is widely used to enhance explosive performance in youth athletes, yet limited evidence exists regarding the persistence of neuromuscular and morphological adaptations after training cessation in prepubertal populations. Objective: This study examined the effects of an 8-week plyometric training program on sprint performance, change-of-direction (COD) ability, and muscle size-related changes, and evaluated the retention of these adaptations following a 4-week detraining period in prepubertal basketball players. Methods: Twenty-eight prepubertal boys were allocated to either a plyometric training group or a control group. Sprint performance (5, 10, and 20 m) and COD ability were assessed, and muscle size-related changes were evaluated through measurements of muscle volume and cross-sectional area (CSA) of the thigh and calf. Assessments were conducted at baseline, after the intervention, and following the detraining period. Results: The plyometric group demonstrated significant improvements in sprint and COD performance and increases in muscle volume and CSA of the mid-thigh and calf (p ≤ 0.05). The control group showed modest improvements in sprint performance and muscle volume, likely reflecting normal growth and regular basketball participation. After 4 weeks of detraining, sprint and COD performance and muscle volume in the plyometric group declined to levels comparable with the control group, whereas CSA of the mid-thigh and calf remained elevated. Conclusions: These findings indicate that short-term plyometric training improves explosive performance and induces structural adaptations in prepubertal basketball players, although continued training stimuli appear necessary to maintain most performance-related gains. Full article

Objective: The purpose of this study was to compare the influence of biological maturity status and training experience on motor performance in young athletes of different sport disciplines. Methods: Youth athletes (n = 84, 23 females) from five different sports (basketball, volleyball, track and field, wrestling, and badminton) participated in this study. Jump height was measured for the squat jump (SJ) and countermovement jump (CMJ). Peak torque during maximal voluntary contractions (MVCs) and torque steadiness at 20% MVC were assessed during plantar flexion (PF) and dorsiflexion (DF). Postural control was assessed with the one-leg test for both the right and left legs. K-means clustered analysis categorized participants into groups of low and high performers. Results: High performers had greater training experience than low performers for the SJ (p < 0.05), with no difference in maturity status (p > 0.05). Similarly, high performers had greater training experience (p < 0.05) than low performers for the CMJ, with no difference in maturity status (p > 0.05). High performers were more mature than low performers for MVC torque of DF (p < 0.001) and PF (p < 0.001), with no group differences in training experience (DF: p > 0.05; PF: p > 0.05). Maturity status for torque steadiness differed only for DF (p < 0.001), whereas there was no difference for PF (p > 0.05). There were no differences in either maturity status or training experience for one-leg-stance time (p > 0.05). Conclusions: These findings suggest that maturity status and training experience are linked to performance, although their relative roles differ across tasks. These findings reflect an interaction between biological maturity, training background and sports performance in youth athletes. Full article

Basketball performance is influenced by cardiorespiratory fitness and body composition. However, evidence regarding the ability of maximal oxygen uptake (VO₂max) to distinguish between competitive levels remains inconsistent. This study aimed to examine differences in cardiorespiratory fitness and body composition between professional and amateur basketball players and to explore their contribution to variability in relative VO₂max. This pilot study also informed sample size estimation for future studies. A cross-sectional study was conducted with 12 professional (21.0 ± 2.3 years; BMI: 25.37 ± 3.04 kg/m²) and 12 amateur (22.6 ± 1.7 years; BMI: 26.83 ± 3.24 kg/m²) male basketball players. Absolute and relative VO₂max, ventilatory thresholds, and body composition (five-component fractionation) were assessed. Between-group comparisons were performed using Welch’s t-tests, effect sizes were estimated using Hedges’ g, and covariance analyses were adjusted for height and body fat percentage. No statistically significant differences were observed in relative VO₂max between groups. However, the absolute second ventilatory threshold was significantly higher in professional players, and absolute VO₂max showed a large effect size favoring this group. Professionals also showed lower body fat percentage and greater fat-free mass (p < 0.01; g ≈ 1.2). These findings suggest that body composition differences may partly explain variability in relative VO₂max between competitive levels. Full article