Chitranshu Sanket
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GullyGyan: Unearthing IPL Insights from the Streets to the Stats
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.
colab.research.google.com
Toss winners average 7 more Powerplay runs. a comprehensive analysis of IPL cricket data to uncover insights into match outcomes, player performance, and strategic advantagesPowerplay 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.
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