Global Cricket League (GCL) 2014-2023 Dataset

Global Cricket League (GCL) 2014-2023 Dataset

Overview

This dataset contains detailed information on the Global Cricket League (GCL) spanning from 2014 to 2023. The dataset includes match statistics, player performance metrics, team information, and venue details. It is designed to provide a comprehensive view of the league, enabling various analyses such as performance evaluation, trend analysis, and more.

Dataset Files

1. Match Statistics

File Name: match_statistics.csv

Description: This file contains information about individual matches in the GCL, including details about the teams, venue, toss, match results, and the player of the match.

Columns:

• Match_ID: Unique identifier for each match
• Date: Date and time of the match
• Team_A: Name of Team A
• Team_B: Name of Team B
• Venue: Name of the venue where the match was played
• Toss_Winner: Team that won the toss
• Toss_Decision: Decision made by the toss-winning team (Bat/Field)
• Winner: Team that won the match
• Margin: Margin of victory (e.g., "20 runs", "5 wickets")
• Player_of_the_Match: Name of the player who was awarded Player of the Match

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2. Player Performance

File Name: player_performance.csv

Description: This file contains detailed statistics for individual players in the GCL, including performance metrics in batting, bowling, and fielding.

Columns:

• Player_ID: Unique identifier for each player
• Player_Name: Name of the player
• Team: Team to which the player belongs
• Matches_Played: Number of matches played by the player
• Runs_Scored: Total runs scored by the player
• Wickets_Taken: Total wickets taken by the player
• Catches: Total catches taken by the player
• Batting_Average: Batting average of the player
• Bowling_Average: Bowling average of the player
• Strike_Rate: Strike rate of the player

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3. Team Information

File Name: team_information.csv

Description: This file provides an overview of each team's performance in the GCL, including the number of matches played, won, lost, tied, and the points accumulated.

Columns:

• Team_ID: Unique identifier for each team
• Team_Name: Name of the team
• Matches_Played: Total matches played by the team
• Matches_Won: Total matches won by the team
• Matches_Lost: Total matches lost by the team
• Matches_Tied: Total matches tied by the team
• Points: Points accumulated by the team

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4. Venue Information

File Name: venue_information.csv

Description: This file includes details about the venues where GCL matches are played, such as the name, location, and seating capacity of each venue.

Columns:

• Venue_ID: Unique identifier for each venue
• Venue_Name: Name of the venue
• City: City where the venue is located
• Capacity: Seating capacity of the venue

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Usage

This dataset can be used for:

• Analyzing player performance and career progression
• Evaluating team strategies and match outcomes
• Conducting statistical analyses and predictive modeling
• Visualizing trends and patterns over a decade

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Example Visuals

• Number Of Matches Won By Each Team

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• Venue Capacity Distribution

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• Winning Percentage Of Each Team

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Acknowledgments

This dataset is created for analytical and educational purposes only. The names, dates, and events are made to resemble the real world but are fictional and any resemblance to real individuals or events is entirely coincidental.