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Highest average score across the recent-form sample.
INDIAN CRICKET • PERFORMANCE INTELLIGENCE
See the game
through data.
Explore player performance, form, batting, bowling and comparisons in one clean cricket intelligence dashboard.
INDIA SQUAD LAB2026
ANALYTICS ENGINE ONLINE
—players indexed
Python FlaskLive API ready
PLAYERS—indexed profiles
RUNS—career dataset
WICKETS—career dataset
100s—career dataset
PLAYER CENTRE
Search • filter • inspectIndia player database
HEAD TO HEAD
Compare two players
VS
PERFORMANCE LAB
No external chart library requiredVisual analytics
Career runs
Bowling wickets
Recent form
ANALYST BOARD
Quick insights
—
Largest wicket total in the indexed dataset.
—
Highest career strike rate among indexed batters.
Built as a serious sports-analysis project.
CricketIQ uses Python Flask as the analytics backend and a lightweight HTML/CSS/JavaScript interface. The included dataset is a project/demo dataset; production deployment should connect it to a permitted, licensed cricket-data source.
Data architecture is designed around searchable player statistics, format filters, comparisons and historical analysis.