Deshitha Gallage

Deshitha Gallage

ML Enthusiast | Developer | Undergraduate

IPL Data Analysis & 2025 Winner Prediction Model

Indian Premier League (IPL)

The Indian Premier League (IPL) is one of the most popular and competitive cricket leagues in the world. Established in 2008, the IPL features teams composed of top international and domestic cricket players, delivering thrilling matches and showcasing high-level cricketing skills. The league’s rich data history presents a unique opportunity for in-depth analysis and predictive modeling.

In this project, I developed a machine learning model aimed at predicting the winners of the Indian Premier League (IPL) matches for the year 2025. This project not only focuses on predictions but also includes a comprehensive analysis of historical IPL data spanning from 2008 to 2024. The analysis covers team performance, player statistics, and match outcomes, providing valuable insights.

IPL Data Analysis

Project Overview

The IPL Data Analysis & 2025 Winner Prediction Model project involved several key components:

  • Data Collection and Preprocessing: Gathering and cleaning IPL data from diverse sources to ensure high-quality data for analysis and model training.
  • Data Analysis: Using analytical scripts and notebooks to extract insights from the data, identifying patterns and trends in team and player performance.
  • Model Development: Building, training, and evaluating machine learning models, specifically using Random Forest Classification in Scikit-Learn, to predict match outcomes.
  • User Interface: Developing an intuitive web application using React.js for users to interact with the prediction model and visualize the results.
  • Documentation: Creating a detailed analysis report that documents the findings, methodologies, and outcomes of the project.

Individual Project

This project was an individual endeavor, allowing me to apply and enhance my skills in data analysis, machine learning, and web development.

Resources

Explore the project in detail:

Skills: React.js · Flask · Pandas · Numpy · Matplotlib · Seaborn · Scikit-Learn · Machine Learning · Data Analysis