Dataset For ICC CWC 2023

This dataset compilation offers a comprehensive perspective on the ICC Cricket World Cup, incorporating information from various sources. The dataset comprises four distinct files, each contributing unique insights:

1. team_performance_history.csv:

   • Description: This dataset provides a historical overview of cricket team performances in the ICC Cricket World Cup. It includes team-specific details such as previous appearances, titles, finals, semi-finals, current rank, and group assignments.

2. fixtures.csv:

   • Description: This dataset contains scheduled fixtures for the ICC Cricket World Cup, detailing match information such as round number, date, participating teams (Team 1 and Team 2), venue (Ground), group assignments, and result status.

3. odi_results_till_2023.csv:

   • Description: Covering historical One Day International (ODI) cricket results, this dataset includes match date, participating teams (Team 1 and Team 2), winner, margin of victory, and ground. It serves as a valuable resource for analyzing historical match outcomes.

4. rankings.csv:

   • Description: Focused on team rankings, this dataset includes position, team names, and points. It provides a snapshot of the current standings of cricket teams, aiding in the assessment of their competitive positions.

Scope:

• The combined dataset spans a significant timeframe, encompassing historical team performances, match fixtures, and ODI results from 1971 to 2023.
• It facilitates a holistic analysis of the ICC Cricket World Cup, allowing users to explore team dynamics, historical trends, and predict outcomes based on performance indicators.

Potential Analyses:

• Researchers and analysts can leverage the dataset to conduct in-depth analyses on team performance trends, match predictions, and correlations between rankings and actual match outcomes.
• Comparative studies across teams, venues, and tournament editions can unveil patterns and insights into the dynamics of the cricket world.

Usage:

• The dataset caters to a diverse audience, including sports analysts, cricket enthusiasts, and data scientists, providing a rich resource for understanding the historical context and current dynamics of the ICC Cricket World Cup.
• It serves as a foundation for predictive modeling, trend analysis, and a deeper exploration of the factors influencing the outcomes of cricket matches on the global stage.