IPL and International Cricket Data Is Now on Kaggle and Hugging Face, Refreshed Daily, With a GitHub Index of Every TigZig Dataset
Published: November 1, 2026
Each morning a new version of the IPL and international cricket tables goes up on Kaggle and Hugging Face. The first line of each page shows the date of the latest match in the data.
Both have every table as CSV and Parquet, plus one DuckDB file with all the tables and a column dictionary that explains every field. Kaggle also has a short starter notebook. GitHub has an index of every TigZig dataset, with a direct link to each file.
Kaggle
kaggle.com/datasets/amarharolikar/ipl-international-cricket-ball-by-ball
Hugging Face
huggingface.co/datasets/amarharolikar/ipl-international-cricket-ball-by-ball
GitHub
github.com/amararun/tigzig-datasets
SQL on the same data
The same data takes SQL on Postgres or DuckDB through a free API or MCP server: tigzig.com/apis/database
Earlier posts that save time on this data
For Analysts Using the Tigzig Cricket Database: 14 Things That Trip People Up: tigzig.com/post/cricket-database-14-things-that-trip-people-up-sep2026
Twelve More Stats Functions on the Cricket SQL Endpoints, and the Two Limits That Are Easy to Hit: tigzig.com/post/cricket-sql-stats-functions-and-limits-sep2026
Getting Errors Running SQL Against the Tigzig Cricket Database?: tigzig.com/post/db-mcp-url-encoding-errors-aug2026
Tigzig APIs Tell You What Went Wrong: tigzig.com/post/tigzig-api-error-hints-read-the-body-sep2026
Credit and compliance
Data source is Cricsheet (cricsheet.org), licensed ODC-BY 1.0. TigZig is not affiliated with or endorsed by Cricsheet.

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