Artificial Intelligence (AI) and sports analytics are game-changers in the world of sports, offering the potential to make data-driven decisions and optimize performance, prevent injuries, and tailor training strategies to individual athletes. In this study, we will explore how AI and sports analytics can be used to improve the performance and training effectiveness of athletes. The research design used was quantitative, descriptive and explanatory with the primary data obtained from 220 athletes of Telangana with different sports disciplines and competitive level by using a structured questionnaire. The instrument consisted of eight statements on a 5-point Likert scale which assesses athletes' perceptions of AI and sports analytics as well as demographic variables. Analysis of data collected was carried out using descriptive statistics, One-Sample t-test and Simple Linear Regression Analysis using SPSS Version 29.0. The results showed that most respondents had positive attitudes towards the use of AI and sports analytics to optimize sports performance, identify strengths and weaknesses, aid in decision making, minimize injury risk, and promote overall athlete development. The results from the One-Sample t-test showed that overall, athletes' perception of the role of AI and sports analytics compared to the neutral point was significantly higher with a t value of 23.62 and a p value of <0.001, indicating the positive impact of these technologies in enhancing sports performance. Moreover, regression analysis showed that, the use of AI was significantly associated with training effectiveness (β = 0.782, R² = 0.611, p < 0.001), accounting for 61.1% of the variance in training effectiveness. Overall, the study demonstrates that Artificial Intelligence and sports analytics are powerful tools in modern sports that can be used to great effect to benefit athletes, coaches, and sports organizations. Results give some real-world considerations for the promotion of AI-powered training systems and data-informed coaching practices to boost athlete performance and sports development outcomes.

This study evaluated the youth football development program at Seyegan United Football School in Sleman, Indonesia, using the Context, Input, Process, and Product (CIPP) evaluation model. It addresses the limited evaluation of youth football development programs at the local football school level, particularly within the Indonesian context. An evaluative qualitative design with a descriptive-inductive approach was employed, involving 15 participants: three administrators, three coaches, and nine athletes. Data collection methods included observation, semi-structured interviews, and documentation, with analysis conducted using the interactive model of Miles and Huberman. The findings indicate that the context and input components were sufficient, the process component was good, and the product component was very good. These results demonstrate that the program has established a clear organizational foundation, sufficient human resources and facilities, structured training implementation, and positive competitive outcomes. Nevertheless, the program continues to face challenges related to funding limitations, administrative capacity, stakeholder support, athlete discipline, and achieving long-term performance targets. In conclusion, the program has shown positive progress; however, its sustainability will require stronger institutional support, broader collaboration, and more systematic monitoring and evaluation.

Physical fitness in childhood is important for supporting healthy growth, development, and general well-being. Evaluating physical fitness gives important insights into children’s growth, health, and ability to perform daily activities. Age-Specific physical fitness score allows each child to know their fitness status resulting in a fair and meaningful evaluation of physical fitness and these scores also assist in recognizing children who have low fitness and enable the progress of targeted interventions. However, there is a lack of age-specific percentile data for boys in India. The aim of the study was to develop Physical Fitness Percentile Norms for Primary Schools Boys of West Bengal. In this cross-sectional study, a total 435 boys of 6 – 10 years were selected primarily from three categories like less active, moderately active and vigorously active as participants from 20 primary schools from different districts in West Bengal. Physical fitness components included cardiorespiratory fitness, flexibility, speed, agility, strength, power which were evaluated through tests including the 20m shuttle run, sit-and-reach test, 50m dash, 10m×4 shuttle run, handgrip strength, and standing broad jump respectively. Age specific percentile scores were calculated for each test. Descriptive statistics were computed to summarize the data. The findings indicated an age-related impact on school boys between the ages of 6 and 10 years. The percentile scores for each component increased steadily as age increased. The study may conclude that the physical fitness components and the percentile norms may be applied for evaluation of physical fitness of primary school boys. Additionally, these norms may be useful for physical education teachers, coaches, and health professionals in monitoring growth, development, and fitness levels and at the same time planning of the appropriate exercise intervention. Further, the researchers in the field of physical education, sports science, exercise science, health management may use these physical fitness tests and their pertaining norms for research purposes.

This review synthesizes evidence on the effectiveness of the World Athletics Kids’ Athletics Programme in improving motor competence, physical fitness and psychosocial outcomes among school-aged children (typically aged 6–12 years). The results indicate consistent positive effects of the programme on running speed, agility and object control skills compared to standard physical education or no intervention, with small-to-medium effect sizes. Evidence for improvements in cardiorespiratory fitness and upper-body strength was less robust, with mixed findings. Psychosocially, the programme demonstrated moderate improvements in enjoyment of physical activity and perceived athletic competence, but no significant effects on long-term behavioural outcomes such as sustained participation. Heterogeneity in intervention duration (4–24 weeks), delivery agents (teachers vs. coaches), and outcome measures limited the comparability of some findings. Overall, the World Athletics Kids’ Athletics Programme appears effective for enhancing selected motor and physical fitness components and fostering positive attitudes towards running-based activities in the short term, though longer-term and psychosocial impacts remain less certain. High-quality, cluster-randomized trials with follow-up assessments are needed to strengthen the evidence base.

The Purpose of the study was to find out the effects of exercise order in a resistance training exercise session on selected speed related variables among women athletes. For this purpose, forty-five (N=45) women athletes who were participated in the inter collegiate athletic meet in Bharathidasan University, Tiruchirappalli, Tamil Nadu, India during the year 2025-2026 were randomly selected as subjects. The age of the subjects was ranged from 18 and 21 years. The subjects were divided into three groups of fifteen in each (n=15). Group-I underwent Large and Progressed toward Small Muscle group Exercises (LG-SM) and Group-II underwent Small and Advanced to Large Muscle group Exercises (SM-LG) and group –III was act as the Control group (CG). Experimental groups underwent their training programme for 12 weeks in addition to the training program designed by the college curriculum. The control group was no underwent any specific training. Speed, Stride Length and Acceleration Speed were selected as dependent variables. Speed and Stride Length were assessed by 50 Meters Sprint Test; and Acceleration Speed was measured by 30 Meters Acceleration Sprint Test. The data collected data from the three groups prior to and immediately after the training programme on the selected criterion variables were statistically analyzed with dependent ‘t’ test and Analysis of Covariance (ANCOVA). Whenever the ‘F’ ratio for adjusted posttest means was found to be significant, Scheffe’s test was followed as a post hoc test to determine which of the paired mean differences were significant. In all the cases 0.05 level of confidence was fixed as a level of confidence to test the hypotheses. The results of the study showed that there was a significant difference was found among the experimental groups. Small and advanced to large muscle group exercises (SM-LG) group is found to be better than other groups in developing Speed, Stride Length and Acceleration Speed.