A GraphQL proxy between the PUBG API and the PubgRecords Apps
- Updated
- JavaScript
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A GraphQL proxy between the PUBG API and the PubgRecords Apps
🎮 [WIP v2] A performance analytics tool for CS:GO that analyzes players' data to provide deep insights into their skill, featuring a Flask client and RESTful API server.
This is a DayZ leaderboard website created with NextJS using data collected and provided by the CFTools Data API.
A Python package for retrieving, parsing, and analyzing Division I, II, and III college baseball team statistics (2002-2025), player statistics (2021-2025), and MLB draft data (1965-2025)
PvE statistics system for World of Warcraft
Rainbow Six api for fetching player statistics
Advanced statistics tracking for Running with Rifles
Players statistics, servers list and more for the Running With Rifles (RWR) game as well as its Pacific and Edelweiss DLCs
Broker receive logs via UDP from dedicated game servers and sends it to MySQL tables for calculation player statistics. Production example: https://stats.csdm.ru/rating/top
A Node.js application that gathers player statistics and ban information from Counter-Strike Global Offensive using the Steam API
Microservice for storing player statistics
Example Project for iOS to collect player statistics for the Wecandeo Online Video Platform(OVP).
Example project for Android to collect player statistics for the Wecandeo Online Video Platform(OVP).
RWRS (rwrstats.com) players' stats history backup
A comprehensive NBA analytics platform built with Streamlit that provides advanced shooting analysis, player comparisons, MVP tracking, and machine learning-powered player similarity matching.
The Valorant Data Collector is a Python-based tool that scrapes and collects detailed player statistics from VLR.gg. It allows users to search for players, extract their performance data, and export the results into a CSV file. With support for multithreaded scraping, it efficiently gathers data on agents used, key performance metrics, and more.
This repository offers a modular framework for analyzing soccer match footage using deep learning and computer vision techniques. It includes components for player and ball assignment, camera motion estimation, view transformation, and team tracking. Designed to support model development and in-game tactical analysis.
Advanced quest system for Minecraft servers with GUI quest book, SQLite stats tracking, timed challenges, and extensive reward customization.
This project is dedicated to data analysis over Soccer players. Cleaning, processing, analyzing players statistics dataset to meet specific questions requirements and business objectives.
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