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May 05, 2021

How Data Science Is Used In IPL | Data Science Daily | Episode 24

The game of cricket is enthusiastically followed by the huge number of people in India. For Indians, cricket is like a religion. The acceptance rose with the arrival of the Indian premier league in 2008.

Do you have questions like how reliable are the tail-enders of KKR, what’s the likelihood of CSK winning the IPL, what are the prospects of Virat Kohli hitting a century in the next match etc. Well, all these insights can be gathered using data science! Want to know-how, so, watch this video till the end!

Some of the batting metrics used for analysis are:-

1.    Consistency — it is calculated by calculating the total runs scored and diving it by the number of times the player has been dismissed. A consistent player is surely a priceless asset for any team.

2.  Fast scoring ability— it is calculated using the formula overall runs scored divided by balls played by the player. In the T20 format, where overs are limited fast scoring capacity of a player provides an advantage to his team.

3.  Finishing —every team needs a consistent finisher to enhance their chances of winning.

4.  Hard-hitting ability— it is assessed by adding sixes and fours scored by the player and diving it by the number of balls faced. In T20 format, hard hitters are able to make or break the game.

5.  Running between wickets —in high-pressure situations when players can find boundaries, the potential to rotate the strike plays a crucial role in cricket.

Some of the bowling metrics used for analysis are:-

1.    Wicket-taking capacity— It is calculated by calculating the number of bowls bowled and dividing it by the wickets taken by the player. It is a pivotal metric as it indicates the capability of the player to slow down run rate and put stress on the upcoming batsmen.

2.  Crucial Wicket taking ability — Formula for this is the Number of times Four or Five Wickets Taken / Number of Innings Played.

3.  Short Performance Index —this parameter assesses good bowling periods displayed by a player in previous matches.

4.  Consistency — This is estimated by calculating runs conceded as well as dividing it by wickets taken by the bowler

5.  Economy —Players with a good economy are the most desired player in the auction as they make sure that there are fewer targets on the board to chase.

Some of the fielding metrics used for analysis are:-

1.    Fielding Consistency— It is calculated by calculating the number of times a player has stopped a boundary or taken a catch and dividing it by the number of times a ball came in his close vicinity. This can be divided into simple chances, intermediate chances, tough chances.

2.  Wicket hitting ability — Formula for this metric is Number of instances wickets were hit/ Number of instances of wicket targeted by a player. It measures the accuracy and precision of a player in hitting the wickets.

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