IPL Current Affairs - 2020

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IPL witnesses its first Mankading

The mega celebration of Cricket, Indian Premier League (IPL) witnessed its first ever Mankading in its history in the match of Kings XI Punjab and Rajasthan Royals. Rajasthan Royals opener Jos Buttler became the first victim of ‘Mankading’ in the history of the Indian Premier League (IPL).

Kings XI Punjab skipper Ravichandran Ashwin dismissed the Rajasthan Royals opener Jos Buttler through mankading.

What is Mankading?

Mankading is a kind of dismissal witnessed in the game of cricket. Mankading is the situation where a bowler run out a non-striker by hitting the bails before bowling when the non-striker is outside the crease, with no warning.

Even though it is a legal way of dismissing the batsmen, it is considered as unethical and against the spirit of the game.

Why does the name Mankading?

The name Mankading is derived due to the fact that for the first time Indian bowler Vinoo Mankad had dismissed Bill Brown of Australia, by removing the bails when the latter was away from the crease during India’s tour of Australia in 1947. Hence the dismissal is named after the Indian Cricketer Vinoo Mankad.

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Superstats Launched

Researchers from Indian Institute of Technology Madras (IIT-M), Gyan Data (an IIT-M incubated company) together with experts from ESPNcricinfo have launched Superstats, a new metrics to analyse the game of cricket.


Superstats comprises of three metrics: Luck Index, Forecaster, and Smart Stats. Superstats which is based on data science also ventures into new territories such as luck and forecasting to give a context to every event in a game during this IPL season.

Taking into account score-cards i.e. ball by ball database of all IPL matches played in India in the last ten years, researchers have developed an algorithm based on machine learning system.

This algorithm processes accurate, fast data and quantifies impact of luck and analyzes the real value of a player’s performance in real-time.

Superstats will provide the viewers with a new experience wherein where match information, analysis and projection are backed with data science.

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