Texas Wesleyan MBB Data Analytics

Project Overview

Texas Wesleyan MBB Data Analytics is an iOS application built to simplify the way basketball coaches collect, store, and analyze game statistics. Instead of manually entering every player stat after each game, the app allows coaches to upload a game box score PDF, parse the player statistics, and automatically update player averages, leaderboards, game records, and season analytics.

Technology Used

• Swift / SwiftUI: Used to build the mobile app interface and navigation.
• Firebase Auth: Handles user login and account creation.
• Cloud Firestore: Stores users, rosters, games, and player statistics.
• Firebase Storage: Stores player headshot images.
• PDFKit: Extracts text from uploaded game box score PDFs.
• UniformTypeIdentifiers: Allows the app to recognize and select PDF files.

Presentation Slides

Below are the presentation slides for my Texas Wesleyan MBB Data Analytics capstone project.

Challenges Faced

• One major challenge was parsing PDFs because different box scores can have different formats.
• The parser originally returned players from both teams, so filtering logic was needed to focus on the correct roster.
• Matching uploaded stats to roster players required careful handling of names and jersey numbers.
• Firebase data had to be organized so each coach account could keep its roster, games, and stats separate.
• The leaderboard and player averages had to update correctly after each new uploaded game.

Future Improvements

• Improve the PDF parser so it can handle more box score formats.
• Add more advanced charts for trends across the season.
• Add player comparison tools for coaches.
• Add team-wide reports that can be exported or shared.
• Improve the UI for tablets and larger screens.

Conclusion

This project gave me experience building a full mobile application with authentication, cloud database storage, image uploads, PDF parsing, and data analytics. The final app helps solve a real basketball problem by turning game box scores into organized player and team insights that coaches can use throughout the season.