GullyGyan: Unearthing IPL Insights from the Streets to the Stats
Toss-winning teams show a slight edge (50.45% win rate) and exhibit Powerplay dominance, scoring 15.9% more runs (51.3 vs 44.3) than toss losers.
Chitranshu SanketToss winners average 7 more Powerplay runs.
a comprehensive analysis of IPL cricket data to uncover insights into match outcomes, player performance, and strategic advantages
Powerplay dominance scoring 15.9% more runs
100%
Top Batters: V Kohli leads with 9050 runs. And Top Bowlers: YS Chahal tops with 229 wickets.
Toss Advantage: Winning the toss leads to a +0.9% higher match win probability. Powerplay Edge: Winning teams score 7 more runs on average in the Powerplay phase. Top Talent Identified: Profiled 5 leading batters (over 5k runs) and 5 top bowlers (over 180 wickets). Data Storytelling: Generated 2 visual charts and 1 summary table from raw data.
Overview
IPL JSON data is complex; this project extracts clear, strategic win-patterns and player insights. Process Parsed 1219 JSONs into 289k records; engineered match phases for LLM-driven strategic analysis. Results Winners lead Powerplays by 7 runs. Toss edge is <1%. Kohli (9k) & Chahal (229) lead the charts. Reflection Add a Cricket Analyst using langchain, which read all the analytics and give a short summary.