Endorse The 10th Season of IPL With Big Data Analysis

What is the most common thing which unites the entire country? No, I am not talking about the Snapchat controversy (we all hate Evan Spiegel!). Other than that??? Ok times up.  No points for guessing, it is Cricket. Cricket in India is not a sport anymore, but literally promoted to the stature of religion.

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With the IPL sensation gaining momentum, let’s try something different. How about integrating Cricket with Big data analytics? Rather, what if we could simply sit and predict which are the top teams making it to the finals? Or which batsman will score the highest batting average?

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Might sound gibberish, but ‘CRICLYTICS’ is the thought of the day. Data has been generated in Cricket for the last 160 years since its advent as a professional sport. But this data is put to good use now to analyze the future of a good match like scrutinizing game strategies or preventing major injuries. But all these, demand a whole lot of hard work for the accurate prediction of the next outcome occurring in the match.

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It’s astonishing to witness so many forward looking strategies monitoring the growing volumes of vital cricket data with the help of tools like CCTV Cameras and sensors for recording a player’s performance, level of calorie intake and other crucial elements related to his game.  In addition to this, the statistical data reviews for the batsman the overall runs scored, strike rate and for the bowler it is the total number of balls bowled, the number of wickets won and a lot more.

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Even the video data has a significant role to play, deciphering the way a batsman plays with the ball and the way he responds to a particular ball.  

So celebrate IPL this season with Hadoop and other related data science techniques, for a better evaluation of the practice sessions and re-structure the horizons of cricket on a global panorama.

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With IPL, for further information on Data Science online learning log in at www.dexlabanalytics.com