Bumrah is now the bowler with the most wickets in T20I for India. SportzPoint gives you every detail, stat of Top 4 bowlers in the list.

T20 cricket is one of the toughest formats to bowl for any bowler. With high-quality bats, shorter grounds, flatter pitches it has been a tough place for bowlers around the globe. However, some bowlers have found it easy to take wickets as the batsmen are willing to take more risks. Jasprit Bumrah from India is one of the best when comes to T20 International cricket. Bumrah is now the bowler with the most wickets in T20I for India.

Top 4: Most wickets in T20I for India

#1 Jasprit Bumrah : 64 T20 International Wickets

If it was not for his marriage, Bumrah would have stayed as the highest wicket-taker for India in T20 internationals. Bumrah is a gift of IPL to Indian cricket. His death-bowling skill and game reading ability are second to none. He is a blessing for any captain in the shortest format of the game. Till now in his 54 T20I games, Bumrah has taken 64 wickets with an outstanding bowling average of 19.9. Meanwhile, he overtook Chahal in the World Cup game against Scotland last night where he picks up 2 wickets.

#2 Yuzvendra Chahal: 63 T20 International Wickets

The leg-spinner is one of the most clever bowlers in world cricket right now. With his experience in Chess, it is quite obvious that he outfox the batsman easily to get wickets. Chahal has taken 63 wickets in his 49 T20 international matches. He was also the first Indian bowler to pick a 5-wicket haul in a T20 international game. His bowling average of 25.4 in T20Is speaks volumes for his wicket-taking ability. However, the last India versus England T20I series was not great for the leg-spinner.

#3 Ravichandran Ashwin: 55 T20 International Wickets

Ashwin was the first Indian bowler to take 50 T20 International wickets. The off-spinner from Tamil Nadu made his T20I debut way back in July 2010 against Zimbabwe. Ashwin with a bag full of variations is regarded as one of the smartest operators in the game. However, Ashwin lost place in the limited-overs format for India post the 2017 West Indies series. Though in spite of missing lots of games, he is still on our list of most wickets for India in T20 internationals. So far in T20Is Ashwin has taken 55 wickets at a bowling average of 22.5 in his 48 matches.

#4 Bhuvneshwar Kumar: 49 T20 International Wickets

During the ongoing India versus England series, Bhuvneshwar Kumar took his first international wicket after a long gap of 459 days. He was out of the team after sustaining a groin injury during the IPL 2020. He was nearly out of action for 3 months. Though, after a good Syed Mushtaq Ali Trophy for Uttar Pradesh, he was named in the Indian squad for the England series. The pacer has taken 49 T20 international wickets till now in his 51 games with an outstanding economy rate of 6.98. Bhuvneshwar Kumar is also the first Indian player to take five-wicket hauls in all formats of the game. With the T20 world cup coming very soon, Bhuvi will look to stay fit for the prestigious T20 World Cup. Bhuvi was also the man of the match in the final match of the series against England.

Stats are accurate as of 06/11/2021

We have all heard multiple times that T20 cricket is a batter’s game. However, one thing is to be noted that it is a bowler who turns the game for his team most times. The teams across the world have understood the fact that they need a good set of bowlers to win a tournament. This is true in the biggest T20 tournament IPL as well.

Over the years, it has been seen that teams who possess quality bowlers perform quite well, while those who struggle in this department generally lag behind.

So, let's take a look at the bowlers with the most wickets in IPL history.

Also Read: IPL 2025: Squads of every IPL team after the auction

Top 10 bowlers with most wickets in IPL history:

10. Ravindra Jadeja | 160* Wickets

Ravindra Jadeja is easily the most well-rounded cricketer India has ever produced. A major portion of his success needs to be credited to the IPL, as the Saurashtra superstar built his international career by learning in the IPL under cricketing greats like Shane Warne, MS Dhoni, Stephen Fleming, and others. 

Apart from missing the 2010 season, Ravindra Jadeja has played all the other seasons with him representing Chennai Super Kings (CSK) since 2012. He has played 240 games taking 160 wickets with the ball with an average of 30.40 and an economy rate of 7.62.

His generational fielding skills have also shined, as the 36-year-old has taken 103 catches in the competition, making him ‘The Ultimate All-rounder’ as he is the only player to have 1000+ runs, 100+ wickets, and 100+ catches, fulfilling his 3-dimensional abilities to the fullest. 

9. Jasprit Bumrah | 165* Wickets

Jasprit Bumrah, the game-changer of the game has put his name at no. 9 on this list of bowlers who scalped the most wickets in IPL history. Bumrah has been playing for Mumbai Indians since the 2013 season, in which the franchise bought him at a cheap price.

Bumrah has scalped 165 wickets in 133 games with an average of 22.51. Meanwhile, Bumrah has bowled at an economy rate of 7.30 in the franchise cricket league. This year he will be playing for MI again as the franchise retained him before the mega auction.

8. Lasith Malinga | 170 Wickets

Lasith Malinga, who is undoubtedly the greatest pacer in the IPL history has taken 170 wickets in 122 games he has played. Malinga averages 19.79 with the bowl and maintained an economy rate of 7.14 in the cash-rich league. 

Though 108 of these wickets have come in death overs where batters try to score at a faster pace and often get out in the process, still his overall numbers are too good to be questioned.

Malinga started playing for Mumbai Indians in the 2009 season, and last appeared in the 2019 season. His final over in the 2019 final was enough to prove his greatness even at that stage of his career.

7. Amit Mishra | 174 Wickets

The next bowler on the list is Indian leggie Amit Mishra who has picked 174 wickets in 162 games. The seventh-highest wicket-taker in the history of IPL, Mishra, went unsold in the mega auction of IPL 2025. 

He has recorded an impressive economy of 7.37 in the league and has been crucial in taking wickets in middle overs. However, previously he has played for Lucknow Super Giants.

6. Ravichandran Ashwin | 180* Wickets

Ravichandran Ashwin is always known as a great bowler in Test cricket but he has also proved his ability in the shortest format of the game. Meanwhile, Ash comes at number six on this list of bowlers with the most wickets in IPL history. 

Ashwin also has picked 180 wickets in 212 matches with an average of 29.82. He has also maintained an economy rate of 7.12. 

Ashwin went on to play for Punjab Kings and Delhi Capitals, and returns to the CSK fold after having featured for Rajasthan Royals for the last three seasons.

The Indian off-spinner was bought by Chennai Super Kings for Rs. 9.75 crore at the IPL 2025 auction. Ashwin had burst onto the scene in 2009 with CSK under the captaincy of MS Dhoni. He represented Super Kings till 2015 and was part of two title-winning campaigns, in 2010 and 2011. 

5. Sunil Narine | 180* Wickets

The next bowler on this is none other than the West Indies magician Sunil Narine. Narine has taken 180 wickets in 176 games with an average of 25.39 and bowls with an economy rate of 6.73. 

He has been a crucial member of the Kolkata-based franchise KKR, as the franchise won the league back in 2012, 2014, and 2024.

Narine has also played as an opener under Gambhir's captaincy. However, currently, he is with the KKR franchise as they retain the off-spinner before the IPL 2025 mega auction.

4. Bhuvneshwar Kumar | 181* Wickets

Bhuvneshwar Kumar, with 181 wickets is the fourth name in this list of players with the most wickets in IPL. Bhuvi has played in 176 matches in which he took those 181 wickets at an average of 27.23. However, he has bowled with an economy rate of 7.56 in the league. 

Meanwhile, Bhuvi will play for the Royal Challengers Bengaluru franchise as they bought him in the IPL 2025 mega auction at a whopping 10.75 crore price.

3. Dwayne Bravo | 183 Wickets 

Dwayne Bravo with 183 wickets is the third name on the list. He is the second pacer after Lasith Malinga on the list to take the most wickets in IPL. 

Bravo had been a vital cog in Chennai’s bowling lineup, particularly in the death overs. With MS Dhoni being captain, Bravo’s potential has been used very cleverly for the team’s benefit. 

The all-rounder has played 161 IPL games and averages 23.82 with the ball. 

He played his last IPL match in the 2022 season for Chennai.

2. Piyush Chawla | 192 Wickets

Piyush Chawla, who was bought by Mumbai Indians for IPL 2021 in the mini-auction is the second-highest wicket-taker in the league history. He has picked 192 wickets in 192 matches with an average of 26.60 and an economy being 7.96. 

Piyush Chawla has earlier featured for Chennai, Punjab, and Kolkata-based franchises in the cash-rich league.

Over the last two years, Chawla was the lead spinner for Mumbai Indians. But, no teams went for him in IPL 2025 auction.

1. Yuzvendra Chahal | 205* Wickets

Yuzvendra Chahal has taken the most wickets in IPL history. Chahal has played in 160 games in which he has scalped 205 wickets with an average of 22.44. Moreover, he has an economy of 7.84 in the league.

Previously Chahal has played for RCB till 2021 and this season he will be featuring the Rajasthan Royals as they bought him in the IPL mega auction.

Chahal was with Rajasthan Royals since the 2022 season, claiming 66 wickets in 46 games. He has also represented Royal Challengers Bengaluru and Mumbai Indians earlier in the IPL. He is among the 19 bowlers to have claimed a hat-trick in the IPL.

The leg-break bowler also won the Purple Cap for being the leading wicket-taker during the 2022 season, with 27 wickets to his name in 17 games at an average of 19.51 and an economy of 7.75.

Performing in ICC events is what every player dreams to do for his team. Each player wants to contribute to his team at the highest level of the game and ICC events are at that level. Be it a batsman or a bowler each & every player contributes to his team's victory at the ICC events. In this article, we will take a look into those five players who took the most wickets for India in ICC events so far.

#1. Mohammed Shami | 77 wickets

Mohammed Shami has been the most influential bowler for India in ICC events. The fast bowler played only 36 matches in ICC events including ICC Men's ODI and T20 World Cups and Champions Trophy and has taken 77 wickets so far. 

Shami has an incredible average of 16.53 runs per wicket in ICC events while his strike rate of 17.3 proves how lethal he has been for India when it matters the most. His five five-wicket hauls are also a record for India in ICC events. 

Not only that, his 55 wickets in the ODI World Cup is fifth fifth-highest in cricket history and the best among Indian bowlers. 

Also Read: ICC Events 2024-31: Full schedule and host countries

#2. Zaheer Khan | 71 wickets

Former Indian pacer Zaheer Khan is second in the list of the most wickets for India in the ICC events. The left-arm pacer took a total of 71 wickets in 44 matches. Moreover, he is also the 2nd highest wicket-taker as a pacer for India across formats, following Kapil Dev. He has 610 wickets across formats including 282 wickets in ODIs and 17 wickets in T20Is.

In ICC events, Zaheer has an average of 22.25 and a strike rate of 26.8, with 4 four-wicket hauls. His performance for India in the 2011 World Cup is one of the most underrated performances in World Cup history. 

Also Read: Winners list of last 10 ICC Tournaments

#3. Ravindra Jadeja | 69 wickets

Indian all-rounder Ravindra Jadeja has also contributed to his team in ICC events. Be it with batting, bowling or fielding Jadeja has always been in the game. The left-arm orthodox spinner has taken 69 wickets in 65 games for India at the ICC events. 

The left-arm spinner has been part of several ICC events for India. He has an incredible bowling average of 29.27 and a strike rate of 33.3. Jadeja also has two five-wicket hauls for India in ICC events. 

#4 Jasprit Bumrah | 68 wickets

Following Ravindra Jadeja on the list is one of the greatest pacers to play for India, Jasprit Bumrah. The once-in-a-generation bowler has been incredible for India in every format he has played for, 

Bumrah's sheer accuracy and ability to take wickets at any stage of the match has enabled captains to use him in crucial moments. His incredible wicket-taking skills also helped him win the Player of the Tournament award in the ICC T20 World Cup 2024, where India was victorious. 

Till now in 43 matches in ICC Events, Bumrah has taken 68 wickets at an average of 19.50 runs per wicket with a strike-rate of 25.2 balls per wicket. Astonishingly, Bumrah is yet to take any five-wicket haul in ICC events. 

Also Read: Most ICC Trophy wins by any team

#5. Ravichandran Ashwin | 59 wickets

 Off-spinner Ravichandran Ashwin is always known for his role in the longer format of the game. But, very few know what he has done for India in the limited-overs format, especially in ICC events.

He comes just after Jasprit Bumrah in this list of most wickets for India in ICC events. So far Ashwin has taken 59 wickets in 43 matches that he played for India in ICC events.

Before Ravindra Jadeja took over, Ravichandran Ashwin was India's most successful spinner for India in ICC events. The former off-spinner averages 23.00 with the ball and also has a great strike rate of 26.6 in ICC Events.

#6. Harbhajan Singh | 50 wickets

Another off-spinner has occupied his place in this list. Harbhajan Singh comes up after Ravichandran Ash in this list of most wickets for India in ICC events. Bhajji has taken a total of 50 wickets in 53 matches that he has played for India in the ICC events.

The former spinner has some brilliant records in his cricket career, especially in Tests and ODIs. Harbhajan has taken 711 wickets in his career including 411 tests, 269 ODIs, and 25 T20I wickets.

The spinner has done well for India in the ICC events by taking wickets in crucial times. Bhajji has bowled with an average of 33.36 in ODIs and 25.32 in T20Is.

N.B: The stats are accurate as of 4/3/2025 and updated by Koushik Biswas

Ranji Trophy was founded as the 'Cricket Championship of India' at a meeting of the Board of Control for Cricket in India in July 1934. The first Ranji Trophy fixtures took place in the 1934-35 season.

Mumbai are the most successful state in Ranji's history, winning 42 titles, including 15 consecutive trophies between 1958 and 1973. Here is the Ranji Trophy winners list since the inaugural season.

Mumbai - The most successful team in the Ranji Trophy

Mumbai are the most successful first-class team in Indian domestic cricket across different competitions. They have won the Ranji Trophy title a total of 42 times and also won the inaugural season of this prestigious tournament.

Read Also | Most Wickets in a Ranji Trophy Season

Mumbai won seven out of the first 20 seasons and then between the 1950s and 1970s, they won 20 out of 22 titles in the Ranji Trophy. Mumbai's latest title came in the 2023-24 season.

After Mumbai, Karnataka have won the most Ranji Trophies (8) followed by Delhi (7), Baroda (5), and Madhya Pradesh (5). Karnataka have been part of the tournament since the inaugural season. They had to wait until the 1973-74 edition to lift their maiden title. Their latest win came in the 2014-15 edition.

Also Read: Most Successful Teams in the Ranji Trophy History

Delhi won their maiden Ranji title in 1978-79 and their most recent win came in the 2007-08 edition while Baroda made their first-class debut in 1937 and won their maiden title in 1942-43.

Madhya Pradesh have also won five titles after their debut in the 1941 season. They won their first Ranji title in 1945-46, defeating Baroda in the finals.

Also Read: Last 10 winners of the Ranji Trophy

Ranji Trophy winners since 1934-35 season

Technology is quickly changing how players train in football and cricket, transforming conventional practices for these games and it is redefining human performance.

The role of technology in these two popular sports is visible, from relying on sensors which monitor all activity; to virtual reality simulations that aid decision-making, 

In recent years, technology has become smaller, more robust, and versatile, and thus new opportunities, especially in sports, have emerged. At the moment, updates are provided through smartphones, wearable functionality is used to avoid injury, GPS is used to track movement, and players are outfitted with sensors that send real-time information to a coach's device.

This article addresses the state-of-the-art equipment and approaches that are changing the paradigm of training, player development, and the game itself.

How Technology is Changing Cricket and Football Training

1. Wearable Technology

Trainers can invoke sensors wired to the body or some portion of "smart clothing" for measurement and monitoring in real-time. The real-time displays can be used to help the trainer determine what every sportsperson should push more. During training practice, trainers can use real-time measures to inform when to stretch, rest, or make training more challenging.

Laser and GPS are both being used more and more in different aspects of sports preparation. Instead of looking only at times and splits, coaches can measure athletes' exact position, distance, velocity, and acceleration, to better analyze their areas of improvement.

2. Video Analysis Tools

Modern-day football is becoming faster and more tactical. Athletes have to acquire both their athleticism and tactical awareness to enhance their decision-making process in the course of play. Video analysis is used for both individual and team tactical development.

In football, video analysis usually consists of a careful analysis and examination of game matches, practice, and player activity, to assess player performance, tactics, and strategies. Advanced technologies such as wearable tracking units and video analysis techniques are used in the process of achieving these things to capture and analyze critical elements of data, e.g., player location, combinations of teams, and player movements.

Video analysis can be used by coaches, analysts, and players to obtain a more complete picture of what goes on around the ball by giving a graphical representation of the game happening around them.

Video analysis can help a group of individuals to recognize the points of improvement, e.g., to enhance the winning approach and cope with different match situations effectively as the tool between the raw performance data and useful insights.

3. Virtual Reality (VR) Training

Virtual Reality (VR) applications have been of considerable interest in many high-performance and entertainment applications over the past few years with advances in technology, increased availability, and the mobility of VR systems.

More precisely, by embedding environmental constraints within an interactive virtual space, VR can also be used to train in motor, mental, and cognitive skills, strategy, and tactics.

VR offers promising novel solutions to many professional high-pressure, high-skill environments, especially for the training, and learning of difficult skills in otherwise expensive and/or hazardous settings. When properly used, VR provides complete control over the training environment, including cues and challenges, along with safe and reproducible training tasks. 

Because of this, it is designated as a promising instrument, which could help increase athletes' performance.

4. Biomechanical Analysis

The scientific study of biomechanics focuses on the physics and mechanics of how organisms move. In its general sense, it may include anything from knowing how a dancer entirely moves the whole body to the microscopic muscle cell-level response and observing the posture of an active horse.

Biomechanics is a narrower area in sports, which can offer helpful input to sportsmen, trainers, and sports medicine professionals who can help to enhance performance and decrease the chance of injury.

All of these biomechanical tests, including poor kinematics, rotational forces in specific joints, muscle imbalances, fatigue monitoring, and the quality of the movement being rehabilitated, may be detected.

5. Data Analytics

Data analytics has optimized athletes' performance by identifying previously unknown factors and related events. Those actions include, for example, leg motion, dive angle, rotational speed, and fluid motion.

Trainers can help players to successfully use this type of sophisticated movement tracking. If it is on the order of milliseconds, it can be the deciding factor for a race win or loss.

6. Recovery Technology

A significant reduction in injury levels and faster detection times demonstrates how technology greatly benefits sports training. Performance monitoring, movement processing, and improving communication are not only advantages but also contribute to making less susceptible environments.

Trainers and coaches can use training management software to monitor the specific training-based elements related to, for example, energy, nutrition, and sleep, that constitute the training process. Individualization of practices by trainers or coaches to optimize results helps prevent fatigue and self-inflicted injuries.

Besides the unavoidable external factors, injury-free sports may eventually be realized as a future scenario.

7. Communication and Collaboration Tools

Training communication has been enhanced by tools such as YouTube. YouTube contains millions of minutes of exercise and entertainment that are available to, and easily shared by anyone.

Physicists, especially in the area of sport and motor control, need to put much more emphasis on teaching sport and motor control with play debates or footage from films for their continuing education.1 Athletes and coaches can load and view the required films during sports practice or leisure time.

Other communication technologies have further been developed, namely My Fitness Pal, computer or mobile-phone journals on food and exercise, and personal digital health. My Fitness Pal enables trainers to monitor athletes' everyday diets, and players would be responsible for their training.

Artificial Intelligence has been improving the sports we watch and analyze for nearly the past 20 years, but the latest generation of ultra-modern AI tools is revolutionizing every aspect of sports, from improving player and team performances to ensuring safety along with fan engagement and the experiences.

AI can process and store large amounts of data, which allows us to gain insights that we couldn't see before. This capability is at the center of the revolution. For the players, this brings improved strategies, varied training methods, and a significantly lower risk of injury.

The fans enjoy a whole new level of engagement in the game, thanks to Al-powered platforms providing content tailored to them, such as virtual reality experiences and more.

The massive impact of AI in the Sports Industry

Artificial Intelligence is revolutionizing the Sports Industry rapidly by offering solutions to common problems such as individual performance, tactical requirements, injuries and recoveries, variations in training, etc.

The capacity of AI and GenAI tools to analyze complex data and provide instant insights is ushering in a new era of athletic performance and fan engagement as well.

From predictive analytics that improve player safety and performance to AI-powered viewing experiences for fans, the influence of artificial intelligence is setting the bar higher across the industry.

1. Player and team performance

GenAI can analyze team and player behavior to reach conclusions that would contribute to improved training and coaching. For example, they can monitor and analyze the movements of players with computer vision.

In this way, they can assess whether an athlete is moving wrongly or could be injured. Machine learning algorithms can watch game videos to identify patterns of the opposing team. Sports coaches can be made to develop wiser game plans and strategies by artificial intelligence.

Some techniques, including motion tracking and motion analysis, can capture changes in the posture, movement, or technique of a player that indicte fatigue or poor motor control.

According to a study by Grand View Research, the sports analytics market size was valued at $1.9 billion in 2020 and is expected to reach $5.2 billion by 2028, showcasing the rapid growth and demand for advanced analytics tools in sports.

The following two tools are widely applicable to player and team analysis:

• SportVU: This system tracks detailed player and ball motion in a game with computer vision and machine learning. It can analyze shot mechanics, accelerations and decelerations, speed, and distance.
• KINEXON: This system tracks positional and motion data in real-time by equipping players with sensors.

2. Injury Prediction and Prevention

Injuries occur regularly in professional sports. Identifying and preventing injuries before they even occur is likely one of the most thrilling applications of AI.

Teams can utilize AI algorithms to monitor an individual's motion as they move their joints and strain their muscles. It can search for patterns or instabilities that signify an injury before the symptoms themselves appear.

AI can recognize a slight deviation in the amount of strain a soccer player puts on their knee joint and warn the coaches or medical staff. Way before the injury became acute enough to cause the player to miss games, the team could either give them rest or do exercises to help them recover.

A report by MarketsandMarkets estimates that the global sports medicine market, which incorporates AI-driven health monitoring solutions, is projected to reach $9.3 billion by 2026, underlining the significant role of AI in athlete well-being.

The following two tools could be used in the AI-powered prediction and prevention of injuries:

• Sparta Science: It uses computer vision and motion sensing in analyzing movement patterns of an athlete. Based on motion data, biomechanical deficiencies, and especially risks of increased injury, machine learning models are able to identify those. 
• Zone 7: It measures injury risk using factors such as workload, degree of fatigue, and others through artificial intelligence and research in sports science. Their methods take age, position, body composition, and medical history into account. 

3. Training Through AI-Powered Analytics and Wearables

Smartwatches and fitness trackers are examples of wearable technology that have become essential for tracking many of the parameters mentioned earlier.

Wearable GPS devices that can track athletes' speed and location, overall distance traveled, and movement patterns are available to provide relevant information.

Wearable heart rate monitors use optical sensors to measure blood flow in real-time, tracking the heart rate. This is an important aspect of monitoring heart health, fitness levels, and recovery. It also helps in tracking blood oxygen levels, which is another important component of modern-day fitness trackers. They use optical sensors to track the oxygen saturation level of blood.

Since the 2010s, Inertial Measurement Units (IMUs), such as GPS tracking vests, have been commonly used in professional sports. Such vests are offered with discrete and effective GPS tracking and sensors located on the back and shoulders; they are typically worn as tank tops.

In football and rugby, the vest is mainly utilized to track the location and movement of a player and, thereby, report strengths and weaknesses.

4. Sports Commentary and Reporting

Sports commentary and reporting can automatically be generated from match events and live data by employing natural language processing (NLP) methods like GPT-3. Artificially intelligent commentary not only comments on a strategy but also summarizes the critical events of match play. 

Similarly, GenAI can create such highlights, summaries, and post-match data reportage for viewing audiences as well.

NLP methods can make the commentary more dramatic and interesting by taking into account the game statistics and situations in real-time data. With the use of generated personalities and tones, it is possible to accommodate various fan interests in the coverage.

Automated GenAI reporting enhances sports coverage and commentary without losing interesting and captivating stories.

5. Sports Officiating

The use of AI in sports officiating is not without controversy, including traditional backlash and concerns regarding technology's influence on the game. Yet, the improvements it introduces, such as real-time analysis and decision support, are dramatically enhancing the accuracy and fairness of officiating.

Its capabilities to review plays from multiple angles and analyze them in seconds are proving invaluable in high-level games where every call matters.

Despite initial doubts, the use of AI in officiating is increasingly being accepted, with many seeing its potential to eliminate human error and ensure a level playing field.

As the technology improves and its uses extend, its role in assisting fair play and accuracy in sports is poised to increase, ushering in a new era in the use of technology and sportsmanship.

6. Player Scouting

Team owners are using artificial intelligence to review the performance of the players. To determine the most skilled people to invest in, they use data analysis using artificial intelligence. It takes millions of dollars to find talent in the sports world.

So, team owners would like to ensure that scouting one player is the best decision. Artificial intelligence is used widely in scouting players for any sport, be it cricket, football, or basketball.

AI-powered Change in Fan Engagement and Experiences

1. Personalized Fan Engagement

To provide customised fan experiences, GenAI algorithms can model the preferences and behaviours of audiences. Sports teams and broadcasters can use these insights to optimize engagement across media channels.

For example, social media platforms can deliver tailored video highlights, personalized promotions, and AI-recommended content to resonate with each fan.

The NBA revealed 'NB-AI', allowing fans to activate "movie mode" and watch live games animated like popular films, such as Spider-Man

pic.twitter.com/zb2IYT2YBX

— Dexerto (@Dexerto) February 16, 2024

Based on their past interactions and activities, the Generative AI identifies what content types, sports stats, and topics each fan finds most appealing. It creates and sends personalized content for each person. This level of customization, enabled by GenAI in sports, helps sports organizations connect more deeply with their audiences.

2. Viewing Experiences

GenAI can process live video to generate augmented reality (AR) overlays and graphics that enhance broadcasts or live streams.

For example, shot trajectories, real-time player stats, and situational analysis can be visualized and overlaid onto the gameplay footage. For virtual reality (VR), GenAI can create real-world simulated environments for an immersive in-game perspective.

The key innovation is using Generative AI to dynamically generate and adapt AR/VR overlays and environments on the fly, customized to each moment. As the narrative and action of the game shift, the GenAI-powered augmented experiences shift with them, elevating viewing to multidimensional engagement. 

A survey conducted by PwC found that 65% of sports fans are interested in using AR or virtual reality (VR) devices to watch sports, indicating a growing appetite for immersive experiences enabled by AI-driven technologies.

Conclusion

AI collaboration with sports is making the place safer as well as fairer. Predictive modeling and algorithms in AI are becoming a must for injury prevention. AI guarantees that more accuracy and fairness can be introduced in the outcome of a game by enhancing officiating. Both the aspects of performance and integrity are vital components in ensuring the prosperity and popularity of sports continue.

The impact of AI reaches sports journalism, advertising, and the creation of next-gen sports equipment, beyond the field or court. These innovations create new revenue streams and provide more exciting ways for fans to engage with their beloved sports and teams.

In this sense, artificial intelligence in the sports field could be said to be, by itself, a change not only for the athletes or for the coaches but for the sports system in general. With AI, the sports of the future could easily be foreseen because technology would harmoniously mix with manly athleticism at its highest levels.