Ballint: una aplicación para la mejora del rendimiento deportivo en clubes
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2023
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Abstract
En el presente proyecto se ha llevado a cabo el desarrollo de una aplicación web con el objetivo de mejorar el rendimiento de los jugadores y equipos en clubes de baloncesto mediante la recolección y análisis de datos.
Permite a los clubes gestionar a sus miembros y volcar su estructura de equipos en la Base de Datos organizada definiendo la relación entre los miembros y diferentes equipos.
Los usuarios de la aplicación pueden consultar todo tipo de estadísticas propias y del resto de miembros del club a través de una interfaz sencilla y clara, observando las claves más valiosas obtenidas del análisis de partidos.
La implementación más potente de la aplicación es la herramienta de análisis de partidos, mediante la cual se recogen todos los datos de las acciones sucedidas en el mismo, se tratan y vuelcan en la base de datos con el objetivo de obtener más de 50 métricas e índices, que ayuden a los clubes de baloncesto a mejorar el rendimiento de sus jugadores y equipos.
La herramienta pretende ayudar a los entrenadores en la toma de decisiones previa, simultánea y posterior a un partido de baloncesto, mediante la visualización de informes adaptados y personalizados que aportan valor, el
estudio de las decisiones pasadas y su impacto, y la predicción en la toma de decisiones con el objetivo de aumentar el rendimiento. La aplicación se ha desarrollado en tecnologías HTML, PHP y JS, con el objetivo de crear una herramienta potente sencilla y con un alto grado de escalabilidad y ampliaciones futuras.
In this project, the development of a web application has been carried out with the objective of improving the performance of players and teams in basketball clubs through the collection and analysis of data. It allows clubs to manage their members and dump their team structure into an organized database defining the relationship between members and different teams. Users of the application can consult all types of statistics for themselves and the rest of the club members through a simple and clear interface, observing the most valuable keys obtained from match analysis. The most powerful implementation of the application is the match analysis tool, through which all the data of the actions that occurred in the match are collected, processed and dumped into the database with the objective of obtaining more than 50 metrics and indices, which help basketball clubs improve the performance of their players and teams. The tool aims to help coaches in making decisions before, simultaneously and after a basketball game, through the visualization of adapted and personalized reports that add value, the study of past decisions and their impact, and the prediction in the decision making with the aim of increasing performance. The application has been developed in HTML, PHP and JS technologies, with the aim of creating a simple, powerful tool with a high degree of scalability and future extensions.
In this project, the development of a web application has been carried out with the objective of improving the performance of players and teams in basketball clubs through the collection and analysis of data. It allows clubs to manage their members and dump their team structure into an organized database defining the relationship between members and different teams. Users of the application can consult all types of statistics for themselves and the rest of the club members through a simple and clear interface, observing the most valuable keys obtained from match analysis. The most powerful implementation of the application is the match analysis tool, through which all the data of the actions that occurred in the match are collected, processed and dumped into the database with the objective of obtaining more than 50 metrics and indices, which help basketball clubs improve the performance of their players and teams. The tool aims to help coaches in making decisions before, simultaneously and after a basketball game, through the visualization of adapted and personalized reports that add value, the study of past decisions and their impact, and the prediction in the decision making with the aim of increasing performance. The application has been developed in HTML, PHP and JS technologies, with the aim of creating a simple, powerful tool with a high degree of scalability and future extensions.
Description
Trabajo de Fin de Doble Grado en Ingeniería Informática y Administración y Dirección de Empresas, Facultad de Informática UCM, Departamento de Sistemas Informáticos y Computación, Curso 2022/2023.
La dirección del repositorio donde se encuentra el proyecto es la siguiente: https://github.com/geige8/ballint_local.git