IPL 2021-2023 Performance: Data Insights and Analysis

Overview

Welcome to the repository for "IPL 2021-2023 Performance: Data Insights and Analysis". This project aims to provide comprehensive insights and analysis into the performance of players and teams in the Indian Premier League (IPL) from 2021 to 2023.The data presented here includes statistics on player performances, team performances, key trends observed across these three seasons and prospective predictions for 2024 season.

Table of contents

1. Introduction
2. Dataset
3. Data Cleaning
4. Primary Analysis
5. Secondary Analysis
6. Tools Used
7. Visualisations
8. License

Introduction

The Indian Premier League (IPL) has become one of the most popular T20 cricket leagues globally, featuring top international and domestic cricket talent. This repository analyzes the performances of players and teams across the IPL seasons from 2021 to 2023. The analysis provides insights into various aspects of the game, including batting, bowling, and team dynamics, aimed at understanding trends and predicting future performances.

Dataset

The dataset used for this analysis consists of IPL match data from 2021 to 2023, including information on matches, players, teams, runs scored, wickets taken, and various other performance metrics. The dataset has been cleaned and preprocessed to ensure accuracy and consistency in the analysis.

Data Cleaning

The dataset was cleaned using Excel to ensure accuracy and consistency. The cleaning process involved handling missing values, correcting data types, checking for duplicates and ensuring that the dataset is ready for analysis.

Primary Analysis

1. Top 10 Batters by Total Runs: Identifies the top 10 batters based on total runs scored over the past three years.
2. Top 10 Batters by Batting Average: Identifies the top 10 batters based on batting average, considering a minimum of 60 balls faced in each season.
3. Top 10 Batters by Strike Rate: Identifies the top 10 batters based on strike rate, with a minimum of 60 balls faced in each season.
4. Top 10 Bowlers by Total Wickets: Highlights the top 10 bowlers based on total wickets taken over the past three years.
5. Top 10 Bowlers by Bowling Average: Lists the top 10 bowlers based on bowling average, considering a minimum of 60 balls bowled in each season.
6. Top 10 Bowlers by Economy Rate: Lists the top 10 bowlers based on economy rate, with a minimum of 60 balls bowled in each season.
7. Top 5 Batters by Boundary Percentage: Showcases the top 5 batters based on boundary percentage (fours and sixes) over the past three years.
8. Top 5 Bowlers by Dot Ball Percentage: Showcases the top 5 bowlers based on dot ball percentage over the past three years.
9. Top 4 Teams by Winning Percentage: Analyzes the top 4 teams based on winning percentage over the past three years.
10. Top 2 Teams by Wins Chasing Targets: Analyzes the top 2 teams with the highest number of wins achieved by chasing targets over the past three years.

Secondary Analysis

The secondary analysis includes predictions and additional insights:

1. Orange Cap Predictions for 2024: Predicts the potential top run-scorer for the 2024 season.
2. Purple Cap Predictions for 2024: Predicts the potential top wicket-taker for the 2024 season.
3. Winner and Runner-Up Predictions: Forecasts the potential winner and runner-up teams for the 2024 season.
4. Top 4 Qualifying Teams: Predicts the teams most likely to qualify for the playoffs.
5. Top 3 All-Rounders: Identifies the best all-rounders based on their performance.
6. Best Playing 11: Suggests the ideal playing 11 based on the data from 2021-2023 and additional research.

Tools Used

• Excel: Used for data cleaning and preprocessing.
• Google BigQuery: Analysing and querying
• Tableau: Utilized for creating visualizations and dashboards to present the insights derived from the data.

Visualisations

The visualisations are designed to provide clear and insightful representations of the IPL data, helping you understand trends, performances, and predictions at a glance.

Dashboard Features

1. Interactivity: All dashboards are interactive, allowing you to filter and drill down into specific data points for a more detailed analysis.

2. Comparison: Side-by-side comparisons to understand how different players and teams stack up against each other.

3. Predictive Analysis: Uses historical data to provide predictions and insights for the upcoming season.

4. User-Friendly: Designed to be intuitive and easy to navigate, making it accessible for both casual fans and data enthusiasts.

Accessing Visualizations

The visualizations are hosted on Tableau Public and can be accessed through the following link: Tableau Dashboard

License

This project is licensed under the MIT License. See the LICENSE file for details.