IPL 2025 Auction Data Analysis explores team strategies, player valuations, and financial trends during the 2025 IPL auction. Using data scraping and analysis, the project investigates key elements like base price vs. sold price, team budgets, and role-based spending.
The project utilizes Python and its data science stack: BeautifulSoup for scraping, Pandas for analysis, and Matplotlib/Seaborn for visualization. With EDA, it reveals the most expensive players, team-wise spend patterns, and market demand for player types.
This analysis tells the story behind how franchises construct squads and make budget decisions. It offers valuable insights for analysts, managers, and fans into trends and strategies—highlighting how data science is shaping the future of sports analytics.