My first iOS project - an app that will track board games played, display statistics about game, win ratio for given person etc.
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Updated
Apr 9, 2018 - Swift
My first iOS project - an app that will track board games played, display statistics about game, win ratio for given person etc.
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
🎮 [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.
WebScraping and data prepocessing of Cricket Stats
PvE statistics system for World of Warcraft
Advanced statistics tracking for Running with Rifles
Rainbow Six api for fetching player statistics
Example project for Android to collect player statistics for the Wecandeo Online Video Platform(OVP).
Example Project for iOS to collect player statistics for the Wecandeo Online Video Platform(OVP).
Cric-Learners is an online platform to provide free basic guidelines, techniques and tips to individuals who have an immense passion and interest for cricket. Cricket is our Religion.
Broker receive logs via UDP from dedicated game servers and sends it to MySQL tables for calculation player statistics
This is a DayZ leaderboard website created with NextJS using data collected and provided by the CFTools Data API.
A GraphQL proxy between the PUBG API and the PubgRecords Apps
📈 An upcoming League of Legends player statistics website
A web application dedicated to providing comprehensive statistics and insights for tanks within the game Project CW.
Google App: Tracks tournament stats for Esports tournaments
Players statistics, servers list and more for the Running With Rifles (RWR) game as well as its Pacific and Edelweiss DLCs
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.
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