Are data analysts taking all decisions in IPL?: Teams decided to bowl after winning the toss in all 32 matches, but won only 60 percent matches


Mumbai, Pune4 minutes agoAuthor: Kumar Ritvij

The mid-season trends of IPL 15 have started coming. After seeing them, an interesting fact has come to the fore. Actually, the matter is that in the 32 matches so far, whichever team has won the toss, it has decided to bowl first. The situation has become such that when a captain wins the toss, without saying anything, the public understands what is going to happen next. Dew is being said to be the main reason behind this, but this is not the whole truth. The real reason is data analysis.

In the first 10 matches of season 15, only 3 teams could win the match after losing the toss. Winning the toss from here, fielding was considered as a stone streak. During the 11th to 20th matches, 4 teams lost the toss and won the match. Between the 21st and 30th matches, 6 teams lost the toss and defended the target. Despite this, neither team was batting after winning the toss. This is because data analysts believe that winning the toss and choosing to field is a guarantee of victory.

Every team hires data analysts by paying lakhs of crores of salary, who are immersed in data day and night. But now he is getting overdose.

There is a team meeting, where the decision to field is given after the toss based on the juggling of the figures. Not only this, which bowler will be put in front of which batsman, it is also decided by the data analyst, not the coach or captain. When we go to the win-loss statistics in IPL 15, we find that out of 32 matches, the team batting first 18 times and the team batting first 14 times have won. The difference is not much, but the teams have taken an oath that we will bowl as soon as we win the coin.

Rajasthan suffered loss due to data
An interesting incident happened this season, which explains how too much data analysis can take a toll on the team. Under the captaincy of Sanju Samson, the Rajasthan Royals team lost the toss in both the matches but won the match on the strength of their sharp bowling. In the third match, RR lost the toss in front of Bengaluru and lost the match by 4 wickets in a close match.

But in the very next match, beating Lucknow Super Giants by 3 runs in a thrilling match, Rajasthan proved that they have an army of bowlers who can defend any target. Seeing Rajasthan winning against the stream, the illusion started breaking that victory can be achieved only by bowling first. After this, perhaps the management of Rajasthan Royals also got addicted to data analysis.

After losing 4 consecutive tosses, Sanju won the 5th toss and decided to bowl first.  Seeing this, Hardik Pandya could not stop laughing.

After losing 4 consecutive tosses, Sanju won the 5th toss and decided to bowl first. Seeing this, Hardik Pandya could not stop laughing.

Captain Sanju Samson won the first toss of the season in his fifth match and invited Gujarat Titans to bat. During this, seeing Sanju’s smile, it seemed that he had won the match, not the toss. But this bet backfired badly. Hardik, who was facing criticism for his slow half-century in his previous match, batted first on the batting wicket, scoring an unbeaten 87 off 52 balls.

Rajasthan Royals, who did not chase even once this season, their batting faltered badly and the team lost the match by 37 runs. This shows that the situation could have been different had RR won the toss and decided to bat first. After this, Rajasthan lost the toss against Kolkata in the next match but won the match by 7 runs.

Definition of data analyst
Data Analysts are called professionals who have excellent understanding of programming, statistics, applied mathematics and computers. They have the ability to visualize any kind of data better than the common man. Indian Institute of Management addresses data analysts as data miners.

The current data analyst for Team India is Hari Prasad Mohan.  The tradition of analyzing data in Indian cricket started in the era of John Wright.

The current data analyst for Team India is Hari Prasad Mohan. The tradition of analyzing data in Indian cricket started in the era of John Wright.

In the corporate world, they are also known as Data Analyst and Data Scientist. Data Analysts carefully sift through the complex data provided by various sectors to gain critical insights.

It is better to strategize by looking at the pitch on the day of the match.
The use of data in cricket is correct to an extent, but its excessive use is doing harm. The biggest problem with the data is that it claims to measure the present 100% on the basis of history, but no analyst can analyze the present condition of the pitch by taking the statistics of the past during a match. .

How much moisture is there on the wicket and whether it will help the fast bowlers in the beginning, it is better to decide by looking at the pitch before the match. Before every match, the pitch curator works on the wicket and how it will behave can be judged by looking closely at the wicket. Old records also have a role to play, but the over-reliance on them sometimes becomes overwhelming. Right now it looks as if the IPL has started, if the toss is won then the bowling has to be chosen. Let us see when this trend finally breaks.

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