LoL (League of Legends) game data analysis / analytics
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Updated
Jan 7, 2025 - Python
LoL (League of Legends) game data analysis / analytics
Unique host templates to enhance own privacy in games, websites and regulary software on Desktop and Android devices
Flutter League is a companion app for League of Legends players that allows them to search for summoners, view their stats and match history, and check currently ongoing games.
A tiny event logging webservice for software analytics.
Business and performance KPIs drawn from game analytics using a large dataset
A futuristic and lightweight data platform for upcoming ROBLOX games.
A command line application that analyzes chess games in PGN file format
Next-generation analytics & ML-powered churn prediction for Solana gaming. Self-training models predict player churn 14 days in advance. Live dashboard + REST API analyzing 60M+ on-chain transactions across 12 games.
Tools and services for Eternal Crusade: Resurrection (a multiplayer UE5 shooter)
A Laravel-based web application that tracks, analyzes, and provides insights into visual novels published on itch.io. Features include game version tracking, dialogue analysis, character statistics, community ratings, and Discord integration for game updates.
DPS Meter for Blue Protocol: Star Resonance
A simple Facebook and Game Analytics integration for Unity on Android and iOS.
Addresses from which various server attacks and spyware originate
A predictive model for player retention/churn on day-14 after game installation based on features such as in-game metrics, user behavior, and engagement patterns to identify players at risk of churning, accurately predicting 65% of all retention within the top 6% of total population.
Unlight 對戰紀錄系統:自動匯入對戰紀錄、儲存至 MySQL,並以 PHP + Bootstrap 呈現排行榜與角色資訊。
📊 A comprehensive Python toolkit that leverages local Large Language Models (LLMs) via Ollama to analyze Steam game reviews.
Interpreting changelogs with ANOVA tests on DOTA 2
Leveling Candy Crush Episode's difficulty using Bernoulli principles
This project involves an A/B test to evaluate the impact of moving the Cookie Cats' first gate from level 30 to level 40 on player retention after 1 day (retention_1) and 7 days (retention_7) following installation.
Inferential analysis with two sample t-tests and Mann Whitney U, to test a change implemented from a game patch
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