Hello and welcome to Sportz Point's another coverage of India at Paris Olympics 2024 as Indian athletes look to create history in Paris. 

This is Abhishek Goswami and Payal Debnath bringing you all the updates from the web desk.

Lakshya Sen will be in action in the men's singles badminton bronze medal match while Maheshwari Chauhan and Anant Jeet Singh Naruka will be participating in the Skeet Mixed Team qualification. 

Follow us on Twitter for all the updates. Join our Telegram and WhatsApp channels for all the news and scores. 

Read Also | India at Paris Olympics 2024 Day 10 (5th August) Schedule 

Wherever Neeraj Chopra goes, he does not return empty-handed. This series started in 2016 when this rising star made a record for the first time at the Under-20 World Athletics Championships. From that day itself, we got a glimpse of the future to come, in which many records were to be made and broken one after the other.

On Friday night of 16 May, Neeraj maintained the same trend in Doha Diamond League 2025 and got his name registered in history, becoming the first Indian to breach the 90m mark in the sport. So, it's time we take a look at every Neeraj Chopra records that he has made in his tremendous career so far.

Also Read: Neeraj Chopra’s best throws: Here are all the top throws by javelin ace Neeraj Chopra

Every Neeraj Chopra records you should know

• First Indian to breach the 90m mark: Neeraj Chopra’s best throw is 90.23m, achieved at the Doha Diamond League on May 16, 2025. The mark stands as the men’s national record in India and Neeraj Chopra’s personal best. It was the first time an Indian had breached the 90m-mark in the javelin.
• First Indian to win Olympic medal in athletics: At the Tokyo Olympics in 2021, Neeraj Chopra produced a historic performance in the men's javelin throw event. Neeraj won the gold medal in the final with a throw of 87.58m, giving India its first Olympic medal in athletics. With this win, Neeraj Chopra also became the first Indian athlete to win a gold medal in a track and field event at the Olympics.
• First Indian to win silver at World Athletics Championships: Star Indian javelin thrower Neeraj Chopra won a historic silver medal at the World Athletics Championships in Oregon. He recorded a throw of 88.13m in his fourth attempt to claim the second spot. Chopra thus is the first Indian to win a silver medal at the World Athletics Championships and only the second medallist from the country after Anju Bobby George in 2003.
• First Indian track and field athlete to win world championship: Neeraj Chopra won the gold medal at the 2016 IAAF World U20 Championships in Bydgoszcz, Poland. With this win, the then 18-year-old Neeraj became the first Indian track and field athlete to become a world champion in any event and any age level.
• First Indian World Record holder in track & field: Neeraj Chopra Threw 86.48m at the junior championships in Poland to win the title. With this, he set the new under-20 world record, beating the 84.69m mark established by the previous holder, Latvia's Zigismunds Sirmais. Neeraj’s 86.48m attempt at Bydgoszcz still stands as both the U20 world record as well as the U20 Asian record in the javelin throw.
• Indian national javelin throw record holder: Neeraj Chopra’s best attempt to date came at the Stockholm Diamond League 2022 in Sweden on June 30, 2022, where he managed his personal best of 89.94m to establish the new national record.
• First Indian to win javelin throw gold at Asian Games: Neeraj Chopra is the first Indian javelin thrower to win a gold medal at the Asian Games. Before him, Gurtej Singh was the only men’s javelin thrower from the country to win a medal – bronze at the 1982 New Delhi Asian Games. Neeraj threw  88.06m to claim the 2018 Asian Games title.
• First Indian to win a Diamond League meet: Neeraj Chopra became the first Indian to win a Diamond League meet after he topped the field in Lausanne in 2022. With a depleted field that had world champion Anderson Peters missing, the Indian comfortably led the charts with an 89.08m throw, in his first attempt. 
• First Indian to become Diamond League champion: Neeraj Chopra is the first Indian athlete in history to clinch the Diamond League trophy, by winning the Zurich Diamond League 2022 Final. The Indian ace recorded a best throw of 88.44m to beat Tokyo 2020 silver medallist and 2016 champion Jakub Vadlejch to the title.
• First Indian to become world champion: Neeraj Chopra became India's first world champion after he clinched the gold medal in the men's javelin throw final at the World Athletics Championships 2023 in Budapest with an effort of 88.17m. It was Neeraj Chopra's second straight medal at the world championships after his silver at Oregon 2022.

Also Read: India at Olympics: India's Olympic medal tally by every edition

Neeraj Chopra Records: Best throws at major competitions

Indian javelin ace Neeraj Chopra bettered his throw of 89.94m with a season-best throw of 90.23m at the at the Doha Diamond League 2025. After this, he became the first Indian to breach the 90m mark in the sport.

Read Also: Every Neeraj Chopra Records You Should Know 

Despite the historic achievement, Chopra missed out on the top podium spot at the Doha Diamond League, where Germany’s Julian Weber stole the show with a massive throw. Chopra’s previous best was 89.94m, set on June 30, 2022, at the Stockholm Diamond League — a mark that stood as both his personal best and the men’s national record.

Neeraj achieved his target

• Neeraj Chopra’s best throw is 90.23m, achieved at the Doha Diamond League on May 16, 2025. The mark stands as the men’s national record in India and Neeraj Chopra’s personal best.
• The second-best throw of Neeraj Chopra's career is 89.94m. Neeraj had thrown this throw in the Stockholm Diamond League on 30 June 2022. This throw is a national record and one of Neeraj Chopra's best throws.
• Neeraj Chopra's third-best throw of 89.49m came at the Lausanne Diamond League 2024This is Chopra's best throw ever at a global championship and his third-best overall.
• Neeraj Chopra's fourth-best throw in javelin throw came at Paris Olympics 2024 where he bagged the silver medal with an 89.45m throw. 
• His fifth best throw came in Paavo Nurmi Games in 2022 where he went close to that 90m mark once again.
• In the Lausanne Diamond League 2022, held in the month of August, Neeraj Chopra had thrown the sixth-best throw of his career. Neeraj had thrown the javelin 89.08 meters.
• Neeraj's seventh-best throw came in the Asian Games 2023 held in Hangzhou. In this round, Neeraj had achieved a distance of 88.88m.
• Neeraj Chopra's eighth-best throw came in the World Athletics Championships 2023 in Budapest. In this competition which was held on August 25, 2023, Neeraj showed excellent performance and achieved a distance of 88.77m.
  

Also Read: India at Olympics: India's Olympic medal tally by every edition

Indian badminton player Lakshya Sen crashed out in the first round of the Thailand Open 2025 badminton tournament while Malvika Bansod, Aakarshi Kashyap and Unnati Hooda advanced to the second round of the women's singles after winning tough matches in the Super 500 tournament.

Unnati faces a tough challenge

Unnati Hooda faces a tough challenge against top seed Pornpawee Chochuwong, while Malvika Bansod takes on former world champion and seasoned Thai shuttler Ratchanok Intanon in the second round.

Aakarshi Kashyap completes the women's singles trio as she looks to continue her campaign. In the men’s singles draw, Tharun Mannepalli remains the lone Indian hope.

Lakshya and Priyanshu suffered early exits

In the men's singles, both Lakshya Sen and Priyanshu Rajawat suffered early exits, bowing out in the first round. The women’s singles saw better fortunes, with Aakarshi Kashyap, Unnati Hooda, and Malvika Bansod progressing to the second round, while Anupama Upadhyay and Santosh Ramraj were eliminated.

Lakshya Sen was ousted by Ireland’s Nhat Nguyen in a three-game encounter that lasted 1 hour and 20 minutes. Sen, ranked among India’s top badminton talents, went down 18-21, 21-9, 17-21 in a match that saw momentum swings.

After narrowly losing the opening game, Sen responded with a dominating performance in the second, unleashing sharp smashes and fast-paced rallies to level the match. But Nguyen dug deep in the decider, pulling ahead 17-13 and holding his composure in the pressure moments to complete the upset and move into the second round. India’s men’s singles woes were compounded by Priyanshu Rajawat’s exit, as he fell short in another three-game battle, losing 13-21, 21-17, 16-21 to Indonesia’s Alwi Farhan.

Kidambi Srikanth could not qualify for main round

Earlier, former world no.1 Kidambi Srikanth could not qualify for the main round of the Thailand Open 2025 badminton tournament after losing his second match in the qualifiers on Tuesday.

Srikanth, a world championships silver medallist, defeated Sankar Subramanian 21-15, 21-17 in his first round of qualifiers before losing to Tharun Mannepalli 21-16, 21-19 in the second.

The Ultimate Table Tennis 2025 season is set to take place from May 29 to June 15 at EKA Arena in Ahmedabad, the organisers announced on Friday.

This will be the sixth season of India's premier table tennis league, featuring eight teams with top Indian and international table tennis stars. The defending champions, Goa Challengers, will aim for a third consecutive title.

The tournament which started in 2017, has seen Indian Table Tennis stars like Sharath Kamal, Manika Batra, Sathiyan Gnanasekaran, Manav Thakkar and Sutirtha Mukherjee, alongside international stars like Olympic silver medallist Petrissa Solja AND Tiago Apolónia

8 teams will be divided into two groups and every team will have six players in their squad. Each tie will have five matches. Last season. Goa Challengers defended their title against Dabang Delhi TTC in Chennai. 

Read Also | Manika Batra creates history- First Indian to reach the WTT quarterfinals

Ultimate Table Tennis 2025 Schedule & Venue

• Tournament Dates: May 29 – June 15, 2025
• Venue: EKA Arena, Ahmedabad
• Final Match: June 15, 2025

UTT 2025 Format & Rules

• Teams: 8
• Players per Team: 6 (including 2 international stars)
• Groups: 2 groups of 4 teams each
• League Stage: 5 ties per team
  • 3 matches within the group
  • 2 matches against randomly selected teams from the other group
• Knockouts: Top 4 teams advance to semi-finals
• Final: June 15, 2025

Each tie consists of five matches:

• 2 Men’s Singles Matches
• 2 Women’s Singles Matches
• 1 Mixed Doubles Match

Teams in UTT 2025

Streaming Details

The streaming details of the UTT 2025 have not been announced yet. 

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.