The Role of AI, IOT and Data Analysis in Cricket

Data analysis plays a key role in cricket

We live in a technological age where we are completely surrounded by it. Cricket, as a globally popular sport, could not have been undisturbed by technological advancements for long. The use of technology in cricket has risen steadily throughout time. Third umpires, Hawkeye, and decision review system, as well as power bats and helmet cams, have all been deployed in recent years.

From the comfort of our own homes, we can now watch cricket being played in any region of the world. Our excitement never wanes since technology has made it look so genuine on the screen.

Use of AI and IoT in Cricket

AI and the IoT are two of the decade's most popular technologies.

Both of these technologies have found use in practically every industry. AI in healthcare, AI in TikTok, IoT in disaster risk management, and many other applications can be found.

Cricket, the most popular sport, is combining AI and IoT to improve the viewing and playing experience for both spectators and players. We'll look at some of the ways they've been used in cricket.

SpeculurBatSense

Speculur, a Bengaluru-based sports-tech business, teamed up with Intel to create the SpeculurBatsense detector. The bat sensor, which uses Intel Curie technology, may be attached to the top of the bat's grip.

Every stroke a batter makes would create data for the sensor. It contains inbuilt storage for storing session data and Wireless connectivity for real-time data transmission.

Power Bats

Anil Kumble, the guy who bowled with a fractured jaw, was fascinated by the idea of combining technology with cricket. As a computer enthusiast with an engineering degree, he has attempted to integrate technology into cricket in order to improve the game's excellence.

The concept behind power bats is to use IoT sensors to gather vital information about a batsman. To help professionals raise their skills, Spektacom utilises a small sticker sensor on a cricket bat to capture data on the quality, velocity, twist, and stroke of the bat.

Power Bats employ an ingenious sensor-sticker that assesses the quality of a shot.

SuperStats

In 2018, ESPNCricinfo, a cricket website, debuted SuperStats to forecast the game's happenings.

SuperStats is described on the website as a "programming environment for numbers-based story-telling in cricket." To determine an event in a game, the series employs three elements: Smart Stats, Luck Index, and Forecaster.

These figures were calculated using ESPNcricinfo's extensive ball-by-ball database and advanced machine learning techniques created by IIT Madras and Gyan Data.

Smart Stats examines match scenarios and player performance to put each batting and bowling result in context.

Data Analytics in Cricket

In recent years, data analytics has shown to be a very beneficial tool. In cricket matches, it has also become an element of the strategy formation.

Cricket is a global sport that necessitates a high degree of participation. A cricketing tournament like the World Cup attracts players from all around the world.

ICC has been analysing statistics on scores, player evaluation, player stats, and more with SAP HANA Cloud Platform and SAP Lumira technology. This data is refreshed every 20 seconds. Let's have a look at some more ways data analytics is being used in cricket.

1. Criclytics

Criclytics is the combination of big data analytics with cricket. Teams use this to make precise decisions in a game that is widely regarded as unpredictable.

Criclytics is being utilised to track players' skills, calorie consumption, training levels, fan contact, and much more in order to improve their on-field performance.

Broadcasters, spectators, and players use Criclytics insights to obtain adequate background info on the team 's progress and make the best decisions possible.

2. CricScience

CricScience is the result of combining cricket and data science. Data science is useful not only for projecting the most likely team to win a tournament, but also for extracting valuable information for other applications.

Data science can make a tremendous effect in cricket, from players to trainers to advertisers. It can be used by teams to make key decisions during a match, such as forming a strategy to catch a batsman, deciding which bowler should bowl a super-over, deciding what field placement to use against a specific batsman, and so on.

3. Insights by ESPNcricinfo

ESPNcricinfo's Insights is a combination of cricket and big data analytics. The technology uses two decades of historical cricket data statistical analysis and data points to create a collection of items to slot in spectators in this multi-screen period.

Conclusion

These are just a few examples of how AI, IoT, and Big Data Analytics are being used in cricket. Snickometer, Hawk-eye, and Drone Cameras are examples of modern-day technologies utilised in cricket, in addition to these.

For both spectators and players, technology has altered the entire experience of cricket. Some see the rising use of technology as a threat because it can degrade the game's value. Cricket, on the other hand, is a popular sport that can't be avoided. The sport must work in tandem with technology.