CWC 2023 Complete Dataset With Player Images

This dataset provides detailed information about cricket matches, including batting and bowling performances, match results, and player profiles. It is ideal for sports analysts, data enthusiasts, and machine learning practitioners interested in cricket statistics and performance analysis. Here's a breakdown of the dataset:

1. Batting Summary
   Fields: Match details, team innings, batting position, player name, runs scored, balls faced, boundaries hit (4s and 6s), strike rate, dismissal status, and match ID.
   Purpose: Analyze individual batting performances, strike rates, and contributions to team totals.

2. Bowling Summary
   Fields: Match details, bowling team, bowler name, overs bowled, maidens, runs conceded, wickets taken, economy rate, dot balls, boundaries conceded, wides, no-balls, and match ID.
   Purpose: Evaluate bowling efficiency, economy rates, wicket-taking ability, and overall impact in a match.

3. Match Results
   Fields: Competing teams, winner, margin of victory, venue, match date, and match ID.
   Purpose: Summarize outcomes of cricket matches, identify trends in team performance, and understand match dynamics.

4. Player Information
   Fields: Player name, team name, player image URL, batting style, bowling style, playing role, and a detailed description of the player.
   Purpose: Provide a comprehensive profile of players, highlighting their skills, roles, and career contributions.

Key Features:
Granularity: Data is organized with unique match IDs for seamless integration across tables.

Versatility: Suitable for time-series analysis, predictive modeling (e.g., predicting player performance), and visualizations.

Real-World Applicability: Includes data from an international cricket tournament, making it relevant for real-world sports analytics.

This dataset offers a well-rounded view of cricket matches and players, enabling diverse applications such as performance forecasting, player evaluation, and game strategy analysis. Perfect for building dashboards, conducting exploratory data analysis, or training predictive models for cricket.