This is a repo maintained for the web app that web-scrapes IPL cricket player rankings through all seasons and also provides some interactive EDA functionalities.

Welcome to the Cricket Score API! This project is designed to provide real-time cricket scores using TypeScript and npm. It uses technologies like Cheerio for web scraping, Prisma for accessing MongoDB, Express-jwt for authentication, and Chai and Mocha for testing.

Live Cricket Score Extension

An LSTM model is used to predict optimal England and Australian Squads for the next ashes series based on the recent performances of the players. Jupyter notebooks and scraped datasets are attached with this repository.

This repository contains code that utilizes Selenium and ChromeDriver to scrape text data of short blogs with their headings from the Cricinfo website. It provides a simple and efficient way to extract specific information from Cricinfo and store it in a structured format.

Using LangChain to answer cricket-specific natural language queries!

Player detection for every cricketer playing in ICC Cricket World Cup 2019

The repository contains code for scraping data from the ESPNCricinfo website.

About IPL stands for Indian Premier League and this is an exploratory data analysis of sport Cricket based on various factors. As a Sport Analyst, the objective is to find the most successful teams, players and the factors contributing to win or to loose the game.

CricketScorePrediction is Machine Learning Implementation on a huge Cricket dataset. It contains 2 models. One for predicting the final score of the first Inning keeping the current situation of the match. Second for predicting whether the chasing team will win or not keeping the current situation of the match.

IPL Score Prediction using Machine Learning & Flask

In this project, I predict a winner for the ashes ODI series between England and Australia where the away team is England and the home team is Australia using a machine learning algorithm.

This repo contain script to get Pakistan cricket team batting and bowling data, (of each player) from cricinfo statsguru.

Get Live Cricket Score in Real-time Built using Deno Fresh web Framework

A machine learning based webapp which predicts the first innings score of an ongoing IPL match. Additionally, it can also predict the winning probability of a team in an ODI match

This repo contains data from the "cricketr" package. The dataset is being cleaned up and further visualization will be done.

Data Analysis and Modelling on IPL Data 2008-2017

Details analysis of IPL Data (2008-2021)