Welcome back to the ‘Dataset of the Month’ blog series, where we bring you a mega compilation of free, available datasets on trending topics. The topic we chose for this week is ‘T20 World Cup 2026’.
You can also read previous blogs in the ‘Dataset of the Month’ series on the following blogs:
- Russia-Ukraine War News Datasets
- Israel-Hamas News Datasets
- Global Inflation Datasets
- US Elections News Dataset
- India Elections 2024 News Dataset
- FIFA World Cup News Datasets
- Infrastructure Development News Dataset
- Carbon Footprints News Datasets
- Indian Stock Market News Datasets
- Space Race News Datasets
- Climate Crisis News Datasets
- Oil Trading News Datasets
- AI Progress News Datasets
- Heat Waves News Datasets
- French Elections News Datasets
- EV News Datasets
- Cybercrime News Datasets
- UEFA Euro Standings News Datasets
- 2024 Olympics News Datasets
- US Tariff News Datasets Compilation 2025
- India-Pakistan Conflict Datasets Compilation
- Cyber Crimes Datasets 2025
- Climate change Datasets 2025
- Global Pollution Datasets
- Iran Protests Datasets
T20 World Cup 2026
The 2026 ICC Men’s T20 World Cup was an exciting global cricket tournament that brought together the world’s top T20 teams to compete for the championship. The competition featured traditional powerhouses such as India national cricket team, Australia national cricket team, England cricket team, and New Zealand national cricket team, along with emerging teams that made the tournament highly competitive and unpredictable.
India delivered a dominant performance against New Zealand to secure the championship. With powerful batting, disciplined bowling, and strong teamwork throughout the competition, India emerged as the winner of the 2026 ICC Men’s T20 World Cup, concluding a tournament filled with memorable matches and standout individual performances.
Dataset Customization
Despite ample websites and data portals providing you with datasets related to it, you can’t always get a dataset that meets all the required criteria. For scenarios like this, providers like Newsdata.io and Datarade are leading providers of customized datasets.
To request customised datasets on the T20 World Cup 2026 on Newsdata.io, follow the given steps:
Search for data
You can now search for several articles on your chosen topic and retrieve data using the search bar, as shown below.
Request news data
You can request data by choosing the ‘Request News Data’ option. This will then redirect you to a request form, as shown below.
- NOTE: If you want an overview of how the data will be segregated into datasets, you can choose the ‘Download Sample’ option.
List of available datasets
1. T20 World Cup 2026 Match Dataset
Source: Kaggle
Author: Vishard
Link: https://www.kaggle.com/datasets/vishardmehta/t20-world-cup-2026-match-dataset
Description: This dataset contains synthetically generated match-level data for the ICC Men’s T20 World Cup 2026. It is designed specifically for machine learning and sports analytics, with realistic correlations between team strength, venue conditions, match dynamics, and match outcomes.
2. The T20 World Cup 2026 Prediction Masterpiece
Source: Kaggle
Author: Tassawar Abbas
Link: https://www.kaggle.com/code/abbas829/t20-worldcup-prediction
Description: This project integrates historical match data with advanced machine learning ensembles to predict the 2026 T20 World Cup champion.
3. XGBoost predicts World Cup 2026
Source: Kaggle
Author: Sirojul Alam
Link: https://www.kaggle.com/code/sirojalfaqier/xgboost-predicts-world-cup-2026
4. T20 World Cup 2026 Match Analysis
Source: Kaggle
Author: Mohammad Aarif Ansari
Link: https://www.kaggle.com/code/aarifansari/t20-world-cup-2026-match-analysis
5. T20 Cricket Match Score Dataset
Source: Kaggle
Author: Zeeshan Ahmad
Link: https://www.kaggle.com/datasets/zeeshier/t20-cricket-match-score-dataset
Description: This dataset provides simulated data for predicting the final score of a cricket team in a T20 match based on various match and environmental factors. It is intended for beginner to intermediate machine learning practitioners who want to experiment with regression models in sports analytics.
6. ICC Cricket World Cup Dataset (1975-2026)
Source: Kaggle
Author: Abid Hussain
Link:https://www.kaggle.com/datasets/abidhussai512/icc-cricket-world-cup-dataset-1975-2026
Description: This dataset is a comprehensive goldmine for sports analysts and data scientists. It contains historical records of ODI World Cups, T20 World Cups, and Champions Trophy tournaments.
7. T20 World Cup
Source: Kaggle
Author: Saad Rasheed
Link: https://www.kaggle.com/datasets/saadrasheed20/t20-world-cup-2024/data
Description: This dataset is a valuable resource for cricket fans and data analysts interested in analyzing World Cup performance, player statistics, and match strategies.
8. International Cricket Stats 2026 (ODI & T20)
Source: Kaggle
Author: Muhammad Atif
Link:https://www.kaggle.com/datasets/atifkhan12/international-cricket-stats-2026-odi-and-t20
Description: As we head into the 2026 cricket calendar, team compositions are settling for the major upcoming ICC tournaments. This dataset provides a snapshot of the current best performers in International Cricket (ODI and T20I formats).
9. Cricket 2026: Moneyball Analysis & Player Ranking
Source: Kaggle
Author: Muhammad Atif
Link: https://www.kaggle.com/code/atifkhan12/cricket-2026-moneyball-analysis-player-ranking
10. World Cup ICC Men’s T20
Source: Kaggle
Author: Muhammad Roshan Riaz
Link: https://www.kaggle.com/datasets/muhammadroshaanriaz/icc-mens-t20-worldcup
Description: ICC Men’s T20 World Cup Dataset.
This dataset contains detailed information about the matches played in the ICC Men’s T20 World Cup.
11. T20 World Cup 2026 Prediction & Analysis
Source: Kaggle
Author: Muhammad Ibrahim Shahrukh
Link: https://www.kaggle.com/code/ibrahimshahrukh/t20-world-cup-2026-prediction-analysis
Description: This notebook analyzes 30 years of ICC cricket World Cup data, performs comprehensive EDA, trains machine learning models (XGBoost, Logistic Regression) with ELO ratings and advanced features, and simulates the ongoing 2026 T20 World Cup using Monte Carlo methods to forecast championship probabilities for all competing teams.
12. Data Analysis | ICC Men’s T20 World Cup 2026
Source: Kaggle
Author: Muhammad Ibrahim Qasmi
Link: https://www.kaggle.com/code/ibrahimqasimi/data-analysis-icc-men-s-t20-world-cup-2026
13. WillowPulse: T20 Strategic Insights (2014-2026)
Source: Kaggle
Author: Muhammad Saif Waheed
Link: https://www.kaggle.com/code/muhammadsaifwaheed/willowpulse-t20-strategic-insights-2014-2026<
Description: Welcome to this in-depth analysis of T20 International Cricket matches spanning from 2014 to 2026.
14. T20 World Cup 2026 Match Dataset
Source: Kaggle
Author: Sumit Chavhan
Link: https://www.kaggle.com/code/sumitchavhan7/t20-world-cup-2026-match-dataset
Description: This notebook develops a state-of-the-art binary classification system to predict T20 World Cup 2026 match winners (Team_A vs Team_B) using comprehensive cricket analytics.
15. T20 World Cup 2026 Match Dataset
Source: Kaggle
Author: Vishard
Link: https://www.kaggle.com/datasets/vishardmehta/t20-world-cup-2026-match-dataset
Description: This dataset contains synthetically generated match-level data for the ICC Men’s T20 World Cup 2026. It is designed specifically for machine learning and sports analytics, with realistic correlations between team strength, venue conditions, match dynamics, and match outcomes.
16. T20 World Cup Analysis & Forecasting (2007–26)
Source: Kaggle
Author: Abdul Malik Lodhra
Link: https://www.kaggle.com/code/abdulmaliklodhra/t20-world-cup-analysis-forecasting-2007-26
Description: The ICC Men’s T20 World Cup is the pinnacle of T20 cricket. This notebook provides a comprehensive analysis of the tournament’s history (2007-2024), uncovering the dominant teams, legendary players, and extreme performances.
17. T20 World Cup Dataset
Source: GitHub
Author: Ritesh Ojha
Link: https://github.com/ritesh-ojha/T20-World-Cup-Dataset/tree/main/data/csv
Description: This project is designed to manage and store data related to the T20 Cricket World Cup, including teams, players, matches, and statistics.
18. Sports – Cricket: Batsman- and Match-wise Balls Faced, Runs Scored, Fours and Sixes Hit in Men’s T20 World Cups, since 2007
Source: Dataful
Author: International Cricket Council
Publish Date: March, 2026
Link: https://dataful.in/datasets/19978/
Description: The dataset contains batting details with respect to all the matches played in ICC Men’s T20 Cricket World Cups, since 2007. The details include batsman name, country, match type, batting position, runs scores, balls faced, strike rate, number of dots, singles, doubles, triples, fours, and sixes hit, etc.
19. Number of men’s cricket T20 World Cup titles won from 2007 to 2026, by country
Source: Statista
Author: Statista Research Department
Publish Date: Mar 10, 2026
Link: https://www.statista.com/statistics/1066833/t20-cricket-world-cup-titles-team/
Description: The ICC Men’s T20 World Cup first took place in 2007 and has been held on a two or four-year basis ever since. India was the most successful team in the history of the tournament, having lifted the trophy on three occasions. India won the most recent T20 World Cup in 2026, beating New Zealand in the final.
20. ICC Cricket Rankings: leading Men’s Twenty20 countries worldwide as of May 2025
Source: Statista
Author: Statista Research Department
Publish Date: Nov 26, 2025
Link: https://www.statista.com/statistics/1043820/cricket-t20-countries/
Description: The International Cricket Council (ICC) regularly releases a points-based ranking system for international teams based on their most recent performances. As of May 2025, India was at the top of the list for men’s T20 nations.
21. Prize money distribution at the ICC Men’s T20 Cricket World Cup in 2024
Source: Statista
Author: Statista Research Department
Publish Date: Nov 26, 2025
Link: https://www.statista.com/statistics/1468844/t20-cricket-world-cup-prize-money-distribution/
Conclusion
With this, we come to the end of this month’s ‘Dataset of the month’ blog. Make sure to check out our previously published blogs in ‘Dataset of the month’ on Newsdata.io. I hope to see you again next month for yet another blog on trending topics.
Happy Mining!
Aditi Chaudhary is an enthusiastic content writer at Newsdata.io, where she covers topics related to real-time news, News APIs, data-driven journalism, and emerging trends in media and technology. Aditi is passionate about storytelling, research, and creating content that informs and inspires. As a student of Journalism and Mass Communication with a strong interest in the evolving landscape of digital media, she aims to merge her creativity with credibility to expand her knowledge and bring innovation into every piece she creates.
