espncricinfo

UPVOTE would be appreciation!

Any Queries or requirements, Please feel free to share them with me!!

Context:

The Indian Premier League (IPL) has carved out a special place for itself in the hearts of cricket lovers from the very first season itself in 2008. It is a professional Twenty20 cricket league in India, organized by the Board of Control for Cricket in India (BCCI). Founded in 2007, the league features ten state or city-based franchise teams. The IPL is the most popular and richest cricket league in the world and is held between March and May.

The current defending champions are the Kolkata Knight Riders, who won the 2024 season after defeating Sunrisers Hyderabad in the final. IPL 2025 is the 18th edition of the tournament. This edition of the prestigious tournament commenced on March 22, 2025 and the Final is expected to be played on May 25, 2025.

The 74 matches of the season will be played across 13 venues and will include 12 double-headers. While the afternoon games will begin at 03.30 PM IST, the evening games will begin from 07.30 PM IST.

Content:

Primary file -> matches.csv: Contains detailed information for each match played.
Secondary files->
deliveries: Ball by ball data
orange_cap: Top batting performances
purple_cap: Top bowling performances

Acknowledgements:

The data source is Google and the ESPN official website.

Inspiration:

You can use this data to analyze each team performances, create visualizations to explore tournament results and also predict outcomes of future ipl matches (for eg: fantasy prediction).

The IPL player statistic dataset provides a comprehensive set of performance metrics for players participating in the Indian Premier League (IPL). The dataset contains information on various key aspects of a player's performance, including their batting, bowling, and fielding statistics.

Here is a description of the columns in the dataset:

1. Player: This column represents the name of the IPL player.

2. Runs: This column indicates the total number of runs scored by the player in IPL matches.

3. Boundaries: It represents the number of boundaries hit by the player, which includes fours and sixes.

4. Balls Faced: This column provides the count of balls faced by the player while batting.

5. Wickets: It denotes the total number of wickets taken by the player while bowling.

6. Balls Bowled: This column signifies the number of balls bowled by the player.

7. Runs Conceded: It represents the total number of runs conceded by the player while bowling.

8. Matches: This column indicates the total number of matches played by the player in the IPL.

9. Batting Avg: It represents the batting average of the player, calculated by dividing the total runs scored by the number of times dismissed.

10. Batting Strike Rate: This column represents the strike rate of the player, calculated by dividing the total runs scored by the number of balls faced and multiplying by 100.

11. Boundaries Percent: It represents the percentage of runs scored through boundaries, calculated by dividing the total runs from boundaries by the total runs scored and multiplying by 100.

12. Bowling Economy: This column indicates the average number of runs conceded by the player per over bowled.

13. Bowling Avg: It represents the average number of runs conceded by the player per wicket taken.

14. Bowling Strike Rate: This column indicates the average number of balls bowled by the player per wicket taken.

15. Catches: It denotes the total number of catches taken by the player in IPL matches.

16. Stumpings: This column represents the total number of stumpings made by the player as a wicket-keeper.

The dataset provides a comprehensive overview of the performance of IPL players, allowing for detailed analysis and comparison of their batting, bowling, and fielding capabilities.

IPL MODEL

## Overview

IPL MODEL is a dataset for object detection tasks - it contains Logos annotations for 1,004 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This datasets provides key information about every player playing the 2025 Tata IPL. This is inspired from @aryanverma99 who did it last year.

Attributes included in the dataset:

Year: The year of the IPL season, indicating 2008 to 2024 in this case.

Player_Name: Names of the players showcasing their prowess on the cricket field.

Matches_Batted: The number of matches in which the player batted.

Not_Outs: Number of times the player remained not out while batting.

Runs_Scored: Total runs scored by the player throughout the season.

Highest_Score: Player's highest individual score in a single match.

Batting_Average: The average runs scored per dismissal.

Balls_Faced: Total number of balls faced by the player while batting.

Batting_Strike_Rate:The rate at which the player scores runs per 100 balls faced.

Centuries: Number of centuries scored by the player.

Half_Centuries: Number of half-centuries scored by the player.

Fours: Total number of boundaries (4 runs) hit by the player.

Sixes: Total number of sixes (6 runs) hit by the player.

Catches_Taken: Number of catches taken by the player in the field.

Stumpings: Number of times the player effected a stumping as a wicketkeeper.

Matches_Bowled: The number of matches in which the player bowled.

Balls_Bowled: Total number of balls bowled by the player.

Runs_Conceded: Total runs conceded by the player while bowling.

Wickets_Taken: Number of wickets taken by the player.

Best_Bowling_Match: Player's best bowling performance in a single match.

Bowling_Average: The average runs conceded per wicket taken.

Economy_Rate: The average number of runs conceded per over bowled.

Bowling_Strike_Rate: The rate at which the player takes wickets per ball bowled.

Four_Wicket_Hauls: Number of times the player took four wickets in an inning.

Five_Wicket_Hauls: Number of times the player took five wickets or more in an inning.

This dataset contains historical data of all the matches played in IPLT20 Men's Cricket since 2008. The match-wise data contained in the dataset include host country, match venue, first and second batting teams, scores of teams, winners, winning margins, season winners, and others.

Ipl Logo

## Overview

Ipl Logo is a dataset for object detection tasks - it contains Logo annotations for 2,854 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The dataset contains batting details with respect to all the matches played in IPLT20 Men's Cricket since 2008. The details include batsman name, match type, batting position, runs scores, balls faced, strike rate, number of dots, singles, doubles, triples, fours, and sixes hit, etc.

Note: 1) All the values in the dataset are in absolute numbers. 2) The sum of individual batting scores in the dataset will not be equal to the total team score all the times as extras need to be added to the score

So the idea of creating an IPL dataset came when I was working on a database project. I searched for various datasets which contained the stats of IPL-2020 but I didn't find what I required. So I compiled data from different sources and combined them. The files contain the .xlxs format and I hope this dataset proves useful for you. I will also update the detailed description and will add more datasets soon. Also, it's showing some errors in team-players.xlsx for Delhi Capitals. There are 23 columns in it but it is showing zero. You can download the xlsx file and there will be no error. Also if you are facing problems or have suggestions, ping me up.

Sample Visualization

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F993667%2F84eb9982bcf07026423318f3087998dc%2FDashboard%201.png?generation=1604371664445843&alt=media" alt="">

Context

IPL is a display of best cricket talents around the world as well new potential talents. Finding the hidden gems in the data could show what the future of cricket looks like.

Content

Ball-by-ball data from CRICSHEET.

Acknowledgements

Thanks to Stephen Rushe at CRICSHEET for the data.