March 23, 2014

Redefining Cricket Telecast using Analytics!

Hi Guys,

It has been a long time since my last post.  This time writing it from the comfort of my home and typing in a traditional Desktop Key Board after a long time.

If you have been following World Cup T20 in Star Sports, you would have noted that Star Sports is providing viewers with lot more details than usual. You get a huge analysis of data about the pattern of a batsman’s scoring rate in particular overs and against a particular bowler of a category of bowlers. You get the same type of details for a bowler and also for a team. You are also provided with the line and length at which a batsmen hits or bowlers takes wickets.

This is completely an innovative move on the side of Star Sports to provide viewers with the analytics that only teams had. Another important thing out of the whole analysis is that Star Sports is providing meaningful pattern out of the data available.

In today’s world, you have a whole bunch of data. More often than not, analysts tend to slice and dice the data without finding any proper meaning in the data. As long as you do not get meaningful patterns out of the data, there is no use of Analytics.

From what Star Sports has done, you get meaningful pattern out of the existing data. You tend to know how good a batsman is in the initial 10 deliveries, how effective he is against seamers, which is his favorite area. So far, a few teams might have analyzed to this extent. But, now this opens the door for everyone and strategies can be easily designed based on the analysis. This removes decision making based on gut feelings.

The disadvantage though is that the analysis is based on matches played after either 2010 or 2012 which means the sample size (or population) is too low and you cannot come to a conclusion based on this data. There are many other factors like the pitches played in, the quality of bowlers or batsmen and external conditions.

Despite the disadvantages, this is a great move from Star Sports to provide a far more reliable prediction than the earlier versions of plain analyses.

Happy Reading!

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