Recent times have witnessed the extensive adoption of AI in sports, especially in cricket, to enhance the overall performance of players as well as the experience of fans. Cricket and technology have always shared a close bond, be it using speed guns for measuring the ball speed, hawk eye technology or DRS for third umpiring, or stump cameras. However, this time with AI, the penetration and the ensuing impact is on a much higher level.
Today, bowlers and batsmen utilize artificial intelligence during matches in a plethora of ways. Bowlers use artificial intelligence and video of the last delivery to see the release speed of the ball and the distance it traveled before touching the ground. In the meantime, batsmen can gain an advantage by using AI to monitor their strike rate (how quickly they are pacing their innings) and the number of runs they have scored.
This article discusses the effects of technology on the IPL, how artificial intelligence and data analytics are transforming the game, and what the future holds for cricket.
The Role of Data Analytics in Cricket
Statistics has always been key in evaluating players’ performance and strategies during matches. With the introduction of data analytics, teams are now able to make informed decisions during matches based on real-time data. Data analytics is leveraged to evaluate players’ performance, identify opponents’ strengths and weaknesses, and spot areas for improvement. In IPL, player profiles are developed using data analytics to provide detailed information about each player’s strengths and weaknesses. To maximize the chances of winning, this information is used to develop game plans and strategies. Data analysis is also used to evaluate field conditions, weather forecasts, and other factors that may affect the outcome of a game. This allows teams to make informed decisions about which players to select for a given match and what tactics they will employ during the match that would put the team in a position of strength given the playing environment. Interestingly, data analytics has also led to the coining of new metrics for evaluating the performance of players. For example, the “economy rate” measures how many runs a bowler concedes per over. Throughout the IPL, this metric has become increasingly important for evaluating bowler performance. Technological advancements are playing a crucial role in making the IPL even more popular today, from the use of chatbots as virtual assistants to the use of artificial intelligence.
Role Of AI
- Live AI judgments
AI plays a unique role in cricket because it makes decisions in real time during the game. Machine learning can reliably predict Decision Review System (DRS) results. In close calls and while being run out, the on-field umpires signal a third umpire seated in a designated stadium area. An AI system, Hawkeye, that was developed by a former player, Dr. Hawkins, has proven to be very useful in third umpiring. This system uses a set of cameras to determine the path of the ball from the bowler to the wicket. Factors such as ball spin, seam, swing, etc., are taken into account to make a realistic prediction using an AI system. This information has been found to be useful in accurate decision-making in the face of goal reviews, and foul play third-party official decisions.
- Player Selection
Artificial intelligence is useful in efficiently selecting new players or renewing contracts by manually tracking player stats to identify the next great sportsman. Coaches can use artificial intelligence (AI) to find players in pre-season game promotions, such as in the Indian Premier League (IPL).
Machine learning algorithms are one method of analyzing past performances to create predictive models of player performance using AI. Player statistics, injuries, and disciplinary records are included in this data. AI can develop models based on this data that can predict how players will perform in the future.
- Statistical Analysis and Generation:
IPL has taken the lead in match analysis by providing information on run rate, bowling economy, fielding skills, MVP, etc. All these statistical analyzes are powered by ML and help provide a comprehensive real-time view of the current state of the game.
- AI in Injury Prevention and Rehabilitation
Cricket is no different from any other sport when it comes to injuries. Now, players and teams may reduce the risk of injuries by analyzing the biomechanics, workload, and level of exhaustion of individual players using wearable technology and monitoring systems powered by AI. Teams can use this information to make educated judgments about player management and guard against injuries.
- Virtual Assistant Chatbots for Cricket Enthusiasts
For all of the IPL queries, cricket fans can now use AI-powered chatbots. These digital helpers can give you information on player statistics, live scores, match schedules, and more. In addition, chatbots are capable of interactive dialogue, providing personalized experiences and a more direct connection to the game.
Future Of AI In IPL
It must be emphasized that using artificial intelligence in the IPL goes far beyond simple statistics. With several league iterations and the ability to incorporate data from domestic and international games, team performance and how they would perform with a specific player lineup can now be projected.
Data processing platforms like ADVIT can be used to train neural networks on footage of reaction times, sprinting between wickets, and batting styles against particular deliveries, to determine a player’s best performance. Using this information, it would then be possible to build the ideal team to face an opponent.
All stakeholders in cricket, be it team owners, players, or advertising companies, are in the race to leverage AI for ensuring the best outcomes. The IPL, for instance, permits advertising during a match. This allows for the presentation of tailored ads based on location, preferences, online behaviors, etc. using deep learning and AI technologies.
The Indian Premier League (IPL) is among the most popular sports leagues in the world. There are millions of spectators across India, so it’s no surprise people are trying to predict results. The use of AI and ML for IPL match prediction offers great opportunities for teams looking to gain an edge!
Edited By: Naga Vydyanathan