The fever of the World Cup T20 is at its peak. Now waiting for the final results, a thought came into my mind, “How should teams prepare their players to face the opposition?”. The obvious answer is using past Statistics of the opponent team and its players to derive data based decisions like->Who plays best on the no 3 position? >Which bowler to give the last over to, given the players on the crease? But Sports Analytics as they call it has been taken to another level now. The questions now asked are: >How fast a player moves, >How far he travelled during a runup Pathbreaking advent in technology has ensured that the experience of followers of the game has become finer and more nuanced. It is no longer just about what is happening on the field but about what happened on similar occasions in the past, and what could possibly happen given the past records of the team and the players. Insights like if Dwayne Bravo takes >2 wickets west indies win 9 out of 10 matches etc Machine Learning Video Analytics involving HMM based machine learning framework is used in Sports to discover knowledge, structures, patterns and events […]
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