The dataset contains year- and match-wise historical data on each match played in all the world cups since 1975. The specifics of data contained of each match includes year in which world cup was held, venue, first and second batting teams, their scores, results, winners, winning margins by number of runs or wickets, types of match, such as league match, quarter finals, semi finals, finals, etc, along with names of host country and season winner.

This dataset compilation offers a comprehensive perspective on the ICC Cricket World Cup, incorporating information from various sources. The dataset comprises four distinct files, each contributing unique insights:

1. team_performance_history.csv:

   • Description: This dataset provides a historical overview of cricket team performances in the ICC Cricket World Cup. It includes team-specific details such as previous appearances, titles, finals, semi-finals, current rank, and group assignments.

2. fixtures.csv:

   • Description: This dataset contains scheduled fixtures for the ICC Cricket World Cup, detailing match information such as round number, date, participating teams (Team 1 and Team 2), venue (Ground), group assignments, and result status.

3. odi_results_till_2023.csv:

   • Description: Covering historical One Day International (ODI) cricket results, this dataset includes match date, participating teams (Team 1 and Team 2), winner, margin of victory, and ground. It serves as a valuable resource for analyzing historical match outcomes.

4. rankings.csv:

   • Description: Focused on team rankings, this dataset includes position, team names, and points. It provides a snapshot of the current standings of cricket teams, aiding in the assessment of their competitive positions.

Scope: - The combined dataset spans a significant timeframe, encompassing historical team performances, match fixtures, and ODI results from 1971 to 2023. - It facilitates a holistic analysis of the ICC Cricket World Cup, allowing users to explore team dynamics, historical trends, and predict outcomes based on performance indicators.

Potential Analyses: - Researchers and analysts can leverage the dataset to conduct in-depth analyses on team performance trends, match predictions, and correlations between rankings and actual match outcomes. - Comparative studies across teams, venues, and tournament editions can unveil patterns and insights into the dynamics of the cricket world.

Usage: - The dataset caters to a diverse audience, including sports analysts, cricket enthusiasts, and data scientists, providing a rich resource for understanding the historical context and current dynamics of the ICC Cricket World Cup. - It serves as a foundation for predictive modeling, trend analysis, and a deeper exploration of the factors influencing the outcomes of cricket matches on the global stage.

The Virat Kohli ODI Performance dataset captures the statistical performance of the renowned cricketer Virat Kohli in One Day International (ODI) matches. The dataset spans from the year 2008, marking the beginning of his career, up until the present. It provides valuable insights into Kohli's performance over the years, showcasing his growth and achievements in the ODI format.

The dataset includes several columns that provide key metrics and information about Kohli's ODI performance in each year.

1) Data Introduction • The Cricket Player Debuts & Last Matches (4 Nations) Dataset is a comprehensive collection of debut times and final matches for cricketers from four countries in India, Australia, Pakistan, and Afghanistan, structuring career data by format, including Test/ODI/T20I/IPL.

2) Data Utilization (1) Cricket Player Debuts & Last Matches (4 Nations) Dataset has characteristics that: • This dataset, along with player name, team, and player ID, provides the debut opponent, date, location, and last match opponent, date and location for each format (Test/ODI/T20I/IPL) in columns. • It was collected in a programming manner through the Cricbuzz API and focuses on player information from four countries considering data completion. (2) Cricket Player Debuts & Last Matches (4 Nations) Dataset can be used to: • Player career pattern analysis: A career management strategy can be derived by comparing the age of debut by format, duration of activity, and frequency of format transitions (e.g., Test→T20) by country. • Cricket Distribution Network Dashboard: Visualization of career history for each player can be used for scouting, fan service, media content planning, and more.

content

cricket is the second most popular sport in the world and in the Indian subcontinent, it's more like a religon f fans celebrate their team wins with so many emotions. after a very successful era of Sri Lankan cricket, they go through a very tuff period, so i decide to current players performance with other international players to get some insight into why they not doing well.

context

in each country directory, there are players directory and one JSON file and one panda dataframe which are caries data used in the web scraping process. inside the player directory, there is a separate folder to e each player who currently playing on the international stage for the relevant country. . player details have been saved as JSON documents.

player_dtl.json

this file contains data on players basic details like teams they played and name, roles etc.

player_[format]_FIELDING.json

there are three fielding files for each format of the game (test, ODI, t20).

player_[format]_ALLROUND.json

there are three allround files for each format of the game (test, ODI, t20).

player_[format]_BOWLING.json

there are three bowling files for each format of the game (test, ODI, t20).

player_[format]_BATTING.json

there are three batting files for each format of the game (test, ODI, t20).

Acknowledgements

Source: https://www.espncricinfo.com/player

In November 2014, India's Rohit Sharma broke the record for the highest individual score in a One Day International cricket match. The opener scored an astonishing 264 runs off 173 balls against Sri Lanka in Kolkata. India ended up winning the match by 153 runs, with Rohit Sharma unsurprisingly being named player of the match. Sachin Tendulkar - the Little Master Twelfth on the list of highest individual ODI scores is Sachin Tendulkar, who scored 200 not out off 147 balls in a win against South Africa in 2010. Tendulkar, nicknamed the "Little Master" is widely heralded as one of the best batsmen in the history of cricket. With almost 16 thousand test runs to his name, he is the leading male international test match run-scorer of all time, as well as topping the ranking of leading men's One Day International run-scorers. Tendulkar retired from all forms of cricket after playing his record-breaking 200th test match against the West Indies in November 2013. He was subsequently inducted into the ICC Cricket Hall of Fame in 2019. ICC Rankings As well as releasing rankings for individual batters and bowlers in both the men's and women's games, the ICC (International Cricket Council) also regularly updates its ranking of international sides in all three formats of the game - test match, ODI, and T20. The ICC Men's Test Team Rankings rank the international teams that have Test cricket status based on their performance in recent international series. As of January 2025, India was top of the team rankings. In the women's game, meanwhile, Australia topped the ICC ranking of leading Women's Twenty20 countries.

Overview

This dataset contains the match results and overall figures for Sri Lanka in all three formats of cricket (Test, ODI and T20). The match results files contain all match results recorded and the overall by year files contain the overall figures. The files are separated by format. The column BR stands for balls remaining. Hope this data is useful for all the Cricket data enthusiasts out there. I will try to add more variations of data as I find them.

Data source

This data was scraped from the Statsguru data query on ESPN Cricinfo using a Python package I built called cricguru.

Acknowledgements

ESPN Cricinfo

As of May 2025, Mithali Raj topped the list of all-time matches played in women's ODIs, having taken part in 232 matches for India between 1999 and 2022. The first women's cricket One Day Internationals were played in 1973 as part of the first Women's World Cup in England.

England Women (ENGW) vs India Women (INDW) Match Prediction for 1st ODI on 16 Jul 2025. View Betting Tips, Betting Odds, Match and Player Stats on Cricket-Betting.com

This data set has performance stats for all the frequent players, who play the test format for Team India. Every player has two files that first file or the file ending with stats1 has stats for respective columns for the total playing span of the player. The second file or the file ending with stats2 has stats for respective years and seasons.

Please Note: The Dataset also has some players who do not play test matches, hence their ODI performance stats is given. (for example : Yuzvendra Chahal)

The columns may differ depending on the playing role of the player. All the abbreviations in the columns are the same as standard.

The data is acquired from https://www.espncricinfo.com/ and please feel free to visit the website if you have any confusion understanding the data.

overview row has the stats for a player's entire career, other rows are self-exploratory and are having stats in a particular condition.

The Cat column stands for the category, and all the other columns are standard abbreviations for different terms in crickets.

The data can be used to analyze and predict the performance of each player in the upcoming test matches and which players perform better in what conditions. This Data set can be used to practice real-life implementation of sports analytics and developing attractive dashboards.

Also if you like this dataset and want to see how I extracted the data you can visit my Github link: https://github.com/Jalota0110 , I will be posting my notebook there for data collection along with a few new players.

New Zealand (NZ) vs Pakistan (PAK) Match Prediction for 1st ODI on 28 Mar 2025. View Betting Tips, Betting Odds, Match and Player Stats on Cricket-Betting.com

Pakistan (PAK) vs South Africa (RSA) Match Prediction for 3rd ODI Match on 12 Feb 2025. View Betting Tips, Betting Odds, Match and Player Stats on Cricket-Betting.com

Sri Lanka (SL) vs Australia (AUS) Match Prediction for 2nd ODI on 14 Feb 2025. View Betting Tips, Betting Odds, Match and Player Stats on Cricket-Betting.com

Sri Lanka (SL) vs New Zealand (NZ) Match Prediction for 3rd ODI on 19 Nov 2024. View Betting Tips, Betting Odds, Match and Player Stats on Cricket-Betting.com

Context

This file consists of data from over 500+ cricket matches! Detailed Bowling Statistics (30columns in Bowl.csv )like runs conceded, mainden, economy, wickets, match date, player name, etc) Detailed Batting Statistics (28 Columns in bat.csv) like runs scored, #4's, #6's, balls faced, strike rate, how he got out, match id, etc) Detailed Match Statistics like date, match number, series, format, year are present here

It so so so excited that SO MANY THINGS can be done with this data :) A few things done are listed below.

1. Vizualizae a players Performance over the years
2. Predict fantasy points for a player
3. Find teams performance from over the years
4. Segregate test, ODi, and t20 Performance for a player
5. Find interesting statistics
6. Optimize fantasy teams
7. Predict Best performers and players for a specific series like IPL 2020.

Content

Go through all the data and you will get ALL THE CRICKET STATS YOU WILL EVER NEED. In total 60+ Columns of data

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

I have co-authored a Research paper using the same data called PrOBML: A machine learning approach to Predict, Optimise & Build fantasy Cricket teams using evolutionary algorithm I would like to see what the Kaggle community can do with this data. Do share and Upvote so that maximum people can make use of this data!

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F14601120%2Fad06b93d60d4852564d47172f5d04d5a%2Fwp4538692.jpg?generation=1688649441020955&alt=media" alt=""> Virender Sehwag is an Indian cricketer who has found success at the top of the batting order with his aggressive batting style. He has scored centuries (100 or more runs) in 23 Test matches and 15 One Day International (ODI) matches, but has yet to score a century in a Twenty20 international.

New Zealand (NZ) vs Pakistan (PAK) Match Prediction for 3rd ODI on 04 Apr 2025. View Betting Tips, Betting Odds, Match and Player Stats on Cricket-Betting.com

The leading wicket-taker of all time in men's international tests is Sri Lanka's Muttiah Muralitharan. The right-arm spin bowler took 800 wickets in a test career spanning from 1992 to 2010. The highest-ranked seam bowler in the ranking is England's James Anderson, who took 700 wickets in his 20-year career. The King of Spin While Muralitharan, nicknamed Murali, tops the wicket-taking charts, it's Australia's Shane Warne who was anointed the King of Spin. The legendary leg spinner took 708 wickets for his country in 145 test matches between 1992 and 2007. One of his most famous wickets dismissed English batter Mike Gatting in June 1993 and was subsequently named the "Ball of the Century". Warne also tops the list of all-time leading wicket-takers in The Ashes, a historic Test cricket series between England and Australia held at least once every two years. One Day International wicket-takers In One Day International (ODI) games, a shorter form of cricket, Murali also claims the title of leading-wicket taker of all time. In his 350 ODIs for Sri Lanka, the spinner took 534 wickets, with a best of 7/30 in a win against India in 2000. The top scorer for India in that match was Sachin Tendulkar. Nicknamed The Little Master, Tendulkar is the leading test match run scorer of all time, as well as top of the rankings for all-time One Day International run scorers.

Sri Lanka (SL) vs Australia (AUS) Match Prediction for 1st ODI on 12 Feb 2025. View Betting Tips, Betting Odds, Match and Player Stats on Cricket-Betting.com

Introduction

The Asian Cricket Council Asia Cup is a men's One Day International and Twenty20 International cricket tournament. It was established in 1983 when the Asian Cricket Council was founded as a measure to promote goodwill between Asian countries. It was originally scheduled to be held every two years. The Asia Cup is the only continental championship in cricket and the winning team becomes the champion of Asia. It alternates every 2-years between ODI and T20I formats.

After downsizing the Asian Cricket Council in 2015, it was announced by the ICC that Asia Cup events from 2016 would be played on a rotation basis between One Day International and Twenty20 International format, based on the format of upcoming world events. As a result, the 2016 event was the first event played in the T20I format and functioned as a preparatory tournament ahead of the 2016 ICC World Twenty20.

India, with seven titles (six ODI and one T20I), is the most successful team in the tournament. Sri Lanka is the second most successful team, with six. Sri Lanka has played the most Asia Cups (14) followed by India, Pakistan, and Bangladesh who have played 13 each. Sri Lanka won the Asia Cup 2022. (Reference : Wikipedia

Asia Cup T20 2022

Asia cup 2022 was conducted between 6 teams - Sri Lanka, Pakistan, India, Bangladesh, Aghanistan, and Hong Kong, with a total of 12 matches and the finals. Sri Lanka won the Asia Cup 2022, by displaying great performance on all sides - batting, bowling, fielding.

Dataset

This dataset contains the ball-by-ball data recorded that consists of who is batting side, bowling side, who bowled and who faced every ball bowled in the Asia cup, and what is the final result of each ball, where the batting side able to score big runs or bowling side able to restrict them from scoring big shots. This data set also contains the commentary, which explains what happened the when batter faced every single ball and how he scored runs or got out with bad shot.

Tasks to try out

1. Try analysing ball-by-ball data from both the batting side and bowling side, and come up with who played stronger against their opponent, and in which department - batting or bowling
2. Analyze each batsman and their style of shots chosen by running text analytics using commentary data
3. Analyze each bowler and their style of bowling by running text analytics using commentary data

I hope you will find this dataset interesting and fun-filled. Happy Learning!