A Deadlock demo / replay parser

Projeto de análise exploratória de dados de partidas competitivas de League of Legends (2015-2017). Inclui modelagem de banco de dados MySQL, desenvolvimento de queries e visualização de gráficos sobre campeões, rotas, estruturas e estatísticas de abates.

CS2 demo analysis toolkit — .dem → cs2-demo-format/2.0 ZIP → analysis bundles, view models, QA reports, and reusable React components for esports sites, local tools, and research.

CS2 demo analysis and coaching tool with local benchmarks, ML-based round impact, evidence-backed feedback, and VOD review priorities.

Enable automatic topic-based memory for Claude Code to maintain context across sessions and data compactions without losing information.

LSTM neural network for predicting player actions in CS:GO matches with 87.9% accuracy on professional gameplay data

Machine Learning project to predict Counter-Strike 2 (CS2) match outcomes using data scraped from HLTV.org.

Predicts the winner of a CS:GO round from mid-round snapshot features using scikit-learn and XGBoost.

Twitch category live stream data extractor

This project has the objective of training valorant teams stats throughout the championships and predict the VALORANT Champions winners @ Setember 2026

A high-performance AI assistant for real-time gameplay analysis. Features tactical strategy suggestions, skill-gap detection, and personalized training loops to level up your rank.

Sistem analisis performa player esports berbasis arsitektur cloud terdistribusi 3-Tier Multi-Node untuk optimasi keputusan manajemen tim secara objektif.

R Shiny dashboard for elite League of Legends performance analytics (MSc thesis project).

AI coaching companion for League of Legends using Amazon Bedrock Claude with year-end recaps and performance insights

Advanced esports analytics pipeline that uses PostgreSQL to process a massive dataset of professional League of Legends matches.

Polyglot esports scouting platform with Next.js UI, Spring Boot API, and Python analytics engine that convert natural-language prompts into contract-versioned tactical reports.