My Projects

Here you'll find a selection of my recent work and ongoing projects. I enjoy exploring data, creating interactive experiences, and solving interesting problems.

Minesweeper Projects

MineMasters.pro is a collection of projects centered around the classic game of Minesweeper. From building a custom game engine to creating leaderboards and competitive tournaments, this project showcases my passion for both programming and the game itself.

The MineMasters ecosystem consists of several interconnected components that enhance the Minesweeper community experience.

JavaScript HTML5/CSS3 MongoDB Node.js Express
MineMasters Minesweeper Game Screenshot

Minesweeper Game

A fully-featured, custom-built Minesweeper game with multiple difficulty levels, customizable boards, and advanced game mechanics.

Global Leaderboard

A competitive leaderboard system that tracks player performance across different difficulty levels, allowing users to compare their skills with others worldwide.

Chord Cup Tournament

An organized competitive tournament for Minesweeper enthusiasts, featuring brackets, live standings, and comprehensive results tracking.

BrawleSports.com

BrawleSports was a comprehensive esports statistics platform for the mobile game Brawl Stars. Created during the early competitive scene, the site provided in-depth analytics on teams, players, characters, maps, and game modes.

As a key contributor, I performed data entry, site maintenance, wrote articles, and managed social media. The platform grew to amass over 100,000 pageviews from users worldwide, becoming a vital resource for the competitive Brawl Stars community.

Though the site is no longer active, BrawleSports demonstrated my ability to collect, analyze, and present complex data in a user-friendly format while building an engaged community around competitive gaming statistics.

Data Analysis Web Development Content Creation Community Management Esports Analytics
BrawleSports Website Screenshot

Sports Betting Analytics Project

This exploratory project aimed to develop a winning betting strategy by leveraging publicly available prediction models and analyzing their confidence levels. I created algorithms to identify value bets and implemented various bankroll management strategies.

Through rigorous analysis, I discovered several key insights about the sports betting industry:

  • Even with an edge, the Time Value of Money dramatically impacts profitability
  • Bankroll management strategies necessary for survivability create very small percentage returns that do not beat S&P 500 average returns
  • When attempting to scale by using the strategy across multiple sports/leagues to find enough +EV bets, betting limits imposed by sportsbooks become a significant constraint
  • The effort required to maintain and update the system is substantial while returns remain smaller than passive investing

Though ultimately discontinued, this project demonstrates my analytical approach to complex systems, ability to evaluate investment opportunities, and willingness to reach data-driven conclusions even when they don't align with initial expectations.

Statistical Analysis Probability Theory Python Data Modeling Financial Analysis
Sports Betting Analytics Dashboard