IPL Data Science — Exploratory Analysis & Predictions
PythonPandasMatplotlibscikit-learnSeaborn
Deep exploratory data analysis on IPL cricket dataset (2008–2023) covering 900+ matches. Built interactive visualisations, identified key performance drivers, and trained predictive models for match outcome and player performance ratings.
An in-depth analysis of 15 seasons of IPL data revealing patterns in team performance, player consistency, and match-winning factors.
Analysis Highlights
- ›Win-rate analysis by toss decision, venue, and batting order
- ›Player performance ratings using composite scoring (strike rate, economy, average)
- ›Time-series trend of team dominance across seasons
- ›Logistic regression model predicting match outcome — 76% accuracy