| Paper title: |
A Software-Based Framework for Performance Analysis in Youth Basketball Using Algorithmic Scoring Models |
| Published in: | Issue 1, (Vol. 20) / 2026 |
| Publishing date: | 2026-03-04 |
| Pages: | 19-24 |
| Author(s): | CHIORESCU Alexandru, PAȘCU Paul |
| Abstract. | This paper proposes a software-based framework for performance analysis in youth basketball, integrating heterogeneous motor and physiological data through an algorithmic scoring model. The study is based on longitudinal data collected over a competitive season from U14 athletes, including execution times and physiological indicators such as heart rate, respiratory rate, and oxygen saturation. The main contribution of the research consists in the design of a computational model that normalizes and aggregates multiple performance-related variables into a unified composite score. This approach enables objective comparison across different types of data and supports consistent evaluation of athlete development over time. Furthermore, the paper outlines the architecture of a scalable software system capable of data acquisition, processing, and visualization. The proposed framework includes a multi-layer structure consisting of input data collection, algorithmic processing, and output visualization through graphical representations. Experimental results demonstrate a consistent improvement in performance scores, validating the effectiveness of the model and highlighting its applicability in real-world training environments. The framework is extensible and can be adapted to other sports or domains involving time-series physiological data analysis. |
| Keywords: | Algorithmic Scoring; Performance Analysis; Sports Analytics; Data Normalization; Software Framework; Time-series Data; Youth Basketball |
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