Cricket Analytics for Performance Optimization in T20 Leagues
Cricket Analytics Project Introduction This report presents an analysis of cricket data focusing on player performance, team statistics, and insights derived from three years of data. The dataset includes information about matches, players, batting and bowling statistics, as well as additional data for the 2024 season. The analysis aims to provide valuable insights for team management, player selection, and strategic decision-making in cricket tournaments. Data Import and Preprocessing Libraries - Imported necessary libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data manipulation, analysis, and visualization. Dataset - Imported four datasets: `dim_match_summary`, `dim_players`, `fact_bating_summary`, and `fact_bowling_summary`. - Preprocessed the datasets by adjusting data types, handling missing values, and converting date formats where necessary. Primary Insights 1. Top 10 Batsmen by Total Runs Scored (Past 3 Years) - Iden...