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Cricket World Cup 2023 Match Analytics

Data Science and Analytics

Tags and Keywords

Cricket

Sports

Analytics

India

Beginner

Trusted By
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Cricket World Cup 2023 Match Analytics Dataset on Opendatabay data marketplace

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Free

About

The Cricket World Cup 2023 dataset provides detailed, match-specific information from the tournament. It is designed for beginners and enthusiasts looking to explore and learn sports analytics. The data allows for in-depth analysis of team performance, individual contributions, and various match dynamics, offering insights into batting and bowling statistics, match outcomes, and the factors influencing them.

Columns

  • Match ID: A unique identifier for each match.
  • Match Number: The sequential number of the match in the tournament.
  • Match Date: The date on which the match was played.
  • Match Day: The specific day of the tournament.
  • Match Time: The scheduled start time of the match.
  • City: The city where the match was held.
  • Stadium: The name of the stadium where the match took place.
  • Team A: The first of the two competing teams.
  • Team B: The second of the two competing teams.
  • Toss Winner: The team that won the coin toss.
  • Toss Decision: The choice made by the toss-winning team (Bat or Field).
  • Score A: Total runs scored by the team batting first.
  • Wickets A: Number of wickets lost by the team batting first.
  • Overs Played A: The number of overs played by the team batting first.
  • Maiden Overs A: Number of maiden overs faced by the team batting first.
  • 4s A: Number of fours scored by the team batting first.
  • 6s A: Number of sixes scored by the team batting first.
  • Boundaries A: Total boundaries (fours and sixes) scored by the team batting first.
  • Runrate A: The run rate of the team batting first.
  • Leg Byes A: Runs scored from leg byes for the team batting first.
  • Byes A: Runs scored from byes for the team batting first.
  • Wides A: Runs conceded through wides by the bowling team against Team A.
  • No Balls A: Runs conceded through no balls by the bowling team against Team A.
  • Penalty A: Penalty runs awarded to the team batting first.
  • Extras A: Total extra runs for the team batting first.
  • Score B: Total runs scored by the team batting second.
  • Wickets B: Number of wickets lost by the team batting second.
  • Overs Played B: The number of overs played by the team batting second.
  • Maiden Overs B: Number of maiden overs faced by the team batting second.
  • 4s B: Number of fours scored by the team batting second.
  • 6s B: Number of sixes scored by the team batting second.
  • Boundaries B: Total boundaries (fours and sixes) scored by the team batting second.
  • Runrate B: The run rate of the team batting second.
  • Leg Byes B: Runs scored from leg byes for the team batting second.
  • Byes B: Runs scored from byes for the team batting second.
  • Wides B: Runs conceded through wides by the bowling team against Team B.
  • No Balls B: Runs conceded through no balls by the bowling team against Team B.
  • Penalty B: Penalty runs awarded to the team batting second.
  • Extras B: Total extra runs for the team batting second.
  • Wining Team: The name of the team that won the match.
  • Margin: The margin of victory, specified in runs or wickets.
  • Man of the Match: The player awarded 'Man of the Match'.
  • Umpire 1: The name of the first on-field umpire.
  • Umpire 2: The name of the second on-field umpire.
  • TV Umpire: The name of the television umpire.
  • Match Refree: The name of the match referee.

Distribution

The data is provided in a single CSV file named CWC2023.csv, with a size of 12.83 kB. It is structured with 48 records and 44 distinct columns.

Usage

This dataset can be used to analyse team performance, compare batting and bowling statistics, and build predictive models for match outcomes. It is also suitable for creating data visualisations to illustrate tournament trends and key player contributions.

Coverage

The dataset covers all 48 matches of the Cricket World Cup 2023, which took place in various cities across India, including Ahmedabad, Dharamshala, and at venues like Eden Gardens. The time range spans the duration of the tournament in 2023.

License

CC0: Public Domain

Who Can Use It

  • Data Science Beginners: Ideal for learning sports analytics, data cleaning, and visualisation techniques.
  • Sports Analysts: Useful for conducting in-depth performance analysis of teams and players.
  • Cricket Enthusiasts: Can be used to explore match statistics and gain deeper insights into the tournament.
  • Students and Educators: A practical resource for projects and assignments related to data analysis in sports.

Dataset Name Suggestions

  • Cricket World Cup 2023 Match Analytics
  • 2023 Cricket World Cup Complete Match Data
  • CWC 2023 In-Depth Match Statistics
  • Men's Cricket World Cup 2023 Performance Data

Attributes

Listing Stats

VIEWS

2

DOWNLOADS

0

LISTED

24/09/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format