Dataset: Global Cricket League (GCL) 2014-2023 Dataset

About this 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

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

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

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

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

Example Visuals

Number Of Matches Won By Each Team

Venue Capacity Distribution

Winning Percentage Of Each Team

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.

Tables

Match Statistics

@kaggle.girumwondemagegn_global_cricket_league_gcl_2014_2023_dataset.match_statistics

428.02 KB
15000 rows
10 columns


CREATE TABLE match_statistics (
  "match_id" BIGINT,
  "date" TIMESTAMP,
  "team_a" VARCHAR,
  "team_b" VARCHAR,
  "venue" VARCHAR,
  "toss_winner" VARCHAR,
  "toss_decision" VARCHAR,
  "winner" VARCHAR,
  "margin" VARCHAR,
  "player_of_the_match" VARCHAR
);

Player Performance

@kaggle.girumwondemagegn_global_cricket_league_gcl_2014_2023_dataset.player_performance

469.17 KB
15000 rows
10 columns


CREATE TABLE player_performance (
  "player_id" BIGINT,
  "player_name" VARCHAR,
  "team" VARCHAR,
  "matches_played" BIGINT,
  "runs_scored" BIGINT,
  "wickets_taken" BIGINT,
  "catches" BIGINT,
  "batting_average" DOUBLE,
  "bowling_average" DOUBLE,
  "strike_rate" DOUBLE
);

Team Information

@kaggle.girumwondemagegn_global_cricket_league_gcl_2014_2023_dataset.team_information

5.58 KB
6 rows
7 columns


CREATE TABLE team_information (
  "team_id" BIGINT,
  "team_name" VARCHAR,
  "matches_played" BIGINT,
  "matches_won" BIGINT,
  "matches_lost" BIGINT,
  "matches_tied" BIGINT,
  "points" BIGINT
);