Baselight

Dataset For ICC CWC 2023

Comprehensive ODI Match Results Dataset for ICC Cricket World Cup 2023

@kaggle.gouthamkumaraare_dataset_for_icc_cwc_2023

Loading...
Loading...

About this Dataset

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.

Tables

Fixtures

@kaggle.gouthamkumaraare_dataset_for_icc_cwc_2023.fixtures
  • 5.73 kB
  • 48 rows
  • 7 columns
Loading...
CREATE TABLE fixtures (
  "round_number" VARCHAR,
  "date" VARCHAR,
  "team_1" VARCHAR,
  "team_2" VARCHAR,
  "ground" VARCHAR,
  "group" VARCHAR,
  "result" VARCHAR
);

Rankings

@kaggle.gouthamkumaraare_dataset_for_icc_cwc_2023.rankings
  • 3.08 kB
  • 15 rows
  • 3 columns
Loading...
CREATE TABLE rankings (
  "position" BIGINT,
  "team" VARCHAR,
  "points" BIGINT
);

Team Performance History

@kaggle.gouthamkumaraare_dataset_for_icc_cwc_2023.team_performance_history
  • 6 kB
  • 15 rows
  • 7 columns
Loading...
CREATE TABLE team_performance_history (
  "team" VARCHAR,
  "group" VARCHAR,
  "previous_appearances" BIGINT,
  "previous_titles" BIGINT,
  "previous_finals" BIGINT,
  "previous_semi_finals" BIGINT,
  "current_rank" BIGINT
);

Share link

Anyone who has the link will be able to view this.