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.