Dataset: T20 World Cup 2024: SA Vs SL Dataset

About this Dataset

T20 World Cup 2024: SA Vs SL Dataset

Dataset Overview

This dataset provides a comprehensive overview of the 4th match in Group D of the ICC Men's T20 World Cup 2024 between Sri Lanka (SL) and South Africa (RSA). The dataset includes detailed ball-by-ball data, team line-ups, and player performance metrics, all meticulously recorded during the match. This dataset is designed to be a valuable resource for data science applications, sports analysis, and machine learning projects, offering rich insights into cricket match dynamics. Main data in sl_innings and sa_innings csv files with ball by ball breakdown.

Data Science Applications

Despite the relatively small size of the datasets, they offer significant potential for various data science applications, such as:

Predictive modeling for player performance and match outcomes.
Analysis of ball-by-ball data.
In-depth statistical analysis of player and team performances.
Visualizations to highlight key moments and trends in the match.
Training machine learning models for sports analytics (Ideally at the end of tournament with more data)

Column Descriptors

Ball-by-Ball Data

over: The over in which the ball was bowled.
ball: The specific ball within the over.
batter: The batsman facing the delivery.
bowler: The bowler delivering the ball.
outcome: The result of the delivery (e.g., runs scored, wide, no-ball, wicket).
wickets: Details of how the wicket was taken (e.g., caught, bowled).

Team Line-Ups

Team: The team the player belongs to (Sri Lanka or South Africa).
Player: The name of the player.
Role: The player's role in the team (e.g., Batter, Bowler, Allrounder, Wicketkeeper).

Ethically Mined Data

The data presented in this dataset was ethically collected and recorded by the author while watching the live match. Verification and validation of the data were carried out using trusted sources such as ESPNcricinfo, ICC, and Cricbuzz. The accompanying image was generated using DALL-E 3 to provide a visually appealing and professional representation of the dataset.

Acknowledgements

ESPNcricinfo: For verification of match data and statistics.
ICC: For official match details and player information.
Cricbuzz: For additional data validation and commentary.
DALL-E 3: For generating the professional thumbnail image.

Usage Notes

This dataset is ideal for researchers, data scientists, and cricket enthusiasts interested in analyzing T20 cricket matches. The data is presented in a structured format, making it easy to import into data analysis tools and machine learning frameworks.

By providing this dataset, I aim to contribute to the growing field of sports analytics and facilitate the development of innovative solutions and insights in cricket analysis.

Tables

Playing Xi

@kaggle.kanchana1990_t20_world_cup_2024_sa_vs_sl_dataset.playing_xi

3.09 KB
22 rows
3 columns


CREATE TABLE playing_xi (
  "team" VARCHAR,
  "player" VARCHAR,
  "role" VARCHAR
);

Sa Bowling

@kaggle.kanchana1990_t20_world_cup_2024_sa_vs_sl_dataset.sa_bowling

5.65 KB
5 rows
8 columns


CREATE TABLE sa_bowling (
  "bowler" VARCHAR,
  "o" DOUBLE,
  "m" BIGINT,
  "r" BIGINT,
  "w" BIGINT,
  "nb" BIGINT,
  "wd" BIGINT,
  "eco" DOUBLE
);

Sa Innings

@kaggle.kanchana1990_t20_world_cup_2024_sa_vs_sl_dataset.sa_innings

5.27 KB
101 rows
6 columns


CREATE TABLE sa_innings (
  "over" BIGINT,
  "ball" BIGINT,
  "batter" VARCHAR,
  "bowler" VARCHAR,
  "outcome" VARCHAR,
  "wickets" VARCHAR
);

Sl Bowling

@kaggle.kanchana1990_t20_world_cup_2024_sa_vs_sl_dataset.sl_bowling

5.79 KB
6 rows
8 columns


CREATE TABLE sl_bowling (
  "bowler" VARCHAR,
  "o" DOUBLE,
  "m" BIGINT,
  "r" BIGINT,
  "w" BIGINT,
  "nb" BIGINT,
  "wd" BIGINT,
  "eco" DOUBLE
);

Sl Innings

@kaggle.kanchana1990_t20_world_cup_2024_sa_vs_sl_dataset.sl_innings

5.57 KB
118 rows
6 columns


CREATE TABLE sl_innings (
  "over" BIGINT,
  "ball" BIGINT,
  "batter" VARCHAR,
  "bowler" VARCHAR,
  "outcome" VARCHAR,
  "wickets" VARCHAR
);