IPL 2025 Mega Auction Dataset 🏏

Overview

IPL 2025 Mega Auction Dataset is a carefully curated dataset that records insights from the high‑stakes auction of cricket's most renowned T20 league. By using Selenium for web scraping, the dataset collected auction data for over 600 players directly from www.crictracker.com.

Dataset Features

The dataset includes the following columns:

• Player Name: The name of the cricket player.
• Team: The franchise to which the player was sold in the auction.
• Type: Player role – batsman, bowler, all‑rounder, or wicket‑keeper.
• Base Price: The starting price of the player in the auction (in INR).
• Sold Price: The final price at which the player was purchased (in INR).

Data Collection Process

The dataset was generated through:

• Tool: Selenium, a powerful web automation tool.
• Source: IPL Auction 2025 official website's Click Tracker page.
• Method: Automated scripts navigated the live auction page and extracted player details, team assignments, and bidding results to ensure accuracy and up‑to‑date information.

Highlights

• 600+ Players: Includes all players from the IPL 2025 mega auction.
• Web‑Scraped Accuracy: Extracted directly from the IPL official auction tracking system.
• Auction Insights: Analyse variations between base price and sold price, bidding wars, and team strategies.
• Role Categorization: Explore demand for specific player roles such as batsmen or all‑rounders.

Use Cases

• Auction Analysis: Examine player valuation and bidding trend patterns.
• Team Strategy: Understand franchise decisions and squad composition.
• Price Prediction: Apply machine learning to forecast player prices.
• Exploratory Data Analysis: Create visualizations and insights from auction patterns.