Project Overview

Explore what we are going to build in this project, what will be the learning objectives along with the requirements for this project.

We'll cover the following

This project focuses on analyzing the performance of basketball tournaments, games, teams, and individual players. You’ll gain hands-on experience with basic Java programming language features by constructing the project.

Problem statement

This project aims to analyze a basketball tournament by evaluating team and player performances using Java. The project’s core involves designing classes representing the tournament, teams, players, games, and player-game stats.

Your tasks include calculating individual player scores, computing team scores, identifying top scorers, and determining the MVP. You’ll generate detailed game summaries, including team participation, scores, and attendance, and summarize tournament performance. This project will enhance your understanding of object-oriented programming, data processing, problem-solving, and statistical analysis in Java.

Learning objectives

  • Understand fundamental concepts of object-oriented programming in Java.

  • Design and implement classes to represent entities and their relationships.

  • Gain skills in organizing and processing data.

  • Enhance coding skills and develop algorithmic reasoning.

  • Apply learned concepts to real-world scenarios.

  • Construct sizable projects and improve problem-solving capabilities through an incremental approach.

Project requirements

The project is designed to achieve the following objectives in analyzing the performance of teams and players:

  • Individual player scores: Calculate individual player scores for each game based on performance metrics such as points scored, rebounds, and assists.

  • Team scores: Compute the total score for each game to enable comparison of team performance.

  • Game summaries: Generate detailed summaries for each game, including information about the participating teams, scores, attendance, and other relevant metrics.

  • Highest scorers:

    • Identify the highest scorer from each team in every game.

    • Determine the highest scorer across the entire tournament.

  • MVP statistics: Calculate comprehensive statistics for the most valuable player (MVP), including total games played, total points scored, rebounds, and assists.

Let’s embark on this exciting journey.

Class structure

To start building this project, our first essential step is identifying the classes and establishing their relationships. With this goal in mind, we envision the system being composed of the following classes.

  • Tournament

  • Team

  • Player

  • Game

  • PlayerGameStats

Relationships in the UML diagram

The subsequent UML diagram depicts the relationships among these classes:

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