Download analysis.pbix to view the PowerBI report of team predictions.

Cricket Data Analytics is a comprehensive project designed to analyze cricket data to provide insightful visualizations and statistics. This project leverages R and various data science packages to process and visualize cricket data, helping users to understand and explore cricket statistics in depth.

• Data Collection: Collect cricket data from various reliable sources.
• Data Processing: Clean and preprocess the collected data for accurate analysis.
• Visualizations: Generate insightful visualizations to interpret cricket statistics.
• Predictive Analysis: Implement predictive models to forecast cricket outcomes such as match-score prediction based on current match conditions and wicket prediction.
• Team Prediction: Predicting best team for next matches based on previous data.
• Comprehensive Reporting: Detailed analysis and findings documented in a comprehensive report.

• Programming Language: R
• Packages: dplyr, ggplot2, caret, rvest, tidyr, randomForest, xgboost, zoo
• IDE: Visual Studio Code

1. Clone the repository

   git clone https://github.com/mushtaq2314/Cricket-Data-Analytics.git
   cd Cricket-Data-Analytics

2. Download R and RStudio

3. Install Dependencies

   install.packages(c("dplyr", "ggplot2", "caret", "rvest", "tidyr","randomForest","xgboost","zoo"))

For detailed analysis and findings, please refer project report.