🚀 New Video Release! | Cricket Analytics Meets Machine Learning 🏏🤖

 As a lifelong cricket lover and a researcher in data analytics, I'm excited to share my latest work that digs deep into a long-held belief in T20 cricket — Do extra deliveries (wides & no-balls) really give a major advantage to the batting side?

Using data from 269 T20 matches across international & franchise formats (both men’s and women’s cricket), I applied multiple machine learning models and feature selection techniques to uncover the truth.
📊 Key Insight:
Despite what many experts say, the outcomes of extra deliveries are highly unpredictable — behaving more like random events than strategic advantages.
🔍 What the study reveals:
73% of extra deliveries have low or no positive impact
9 ML models could not reliably predict outcomes (<40% accuracy)
Only a few parameters (match stage, batsman strike rate, bowler runs conceded) showed weak influence
Expert intuition doesn’t always match data-driven reality
🎥 I have prepared a YouTube cover/thumbnail summarizing the findings visually.
Full video: https://lnkd.in/gYib62QY
Full Paper : https://lnkd.in/gWrcX9Xg
Always happy to connect with others who love cricket, analytics, or both! 🏏📈
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