In Football News, Gokulam Kerala will not be allowed to play in AFC Women's Club Championship, the club confirmed on Saturday, as a consequence of AIFF being suspended by FIFA.

Gokulam Kerala, the Indian Women's League champions, had landed in the Uzbek capital of Tashkent on Tuesday, hours after FIFA suspended the All India Football Federation for third-party interference.

"We deeply regret to inform everyone that Gokulam Kerala FC will not be able to take part in the AFC Women's Club Championship despite everyone's best efforts," the club said in a statement.

"The team for the past two months has been tirelessly working to make a mark in the continental championship and make our country proud. However, for no fault of us, we have been denied a chance to compete that too after reaching Tashkent."

The club were scheduled to play their west region group matches in the city of Qarshi but were not allowed to travel to the city from Tashkent.

The Kerala club were supposed to face Uzbek champions Sogdiyona Jizzak on August 23 and Iranian champions Bam Khatoon on August 26. The winner of the group stage would progress to the October 22 final against the winners from the east region.

With Gokulam Kerala's expulsion, Sogdiyona Jizzak and Bam Khatoon have been scheduled to play each other on Saturday and Monday in a two-legged tie.

The club had rented a training ground in Tashkent in a bid to take the players' mind off the uncertainty the situation. Gokulam Kerala had also appealed to Prime Minister Narendra Modi to get the government to intervene and allow the club to participate.

The MYAS had been in talks with Fifa and AFC to allow Gokulam Kerala and ATK Mohun Bagan, who were due to play in the AFC Cup inter-zone semifinals, to compete in the continental competitions.

For more Football News, follow Sportz Point.

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.

USWNT Defender Naomi Girma has joined Chelsea Women for a world-record transfer fee for a female footballer. The Women's Super League leaders paid €1 million to San Diego Wave FC to secure the services of the 24-year-old defender.

Girma was officially presented on the pitch by the Women’s Super League champions before Sunday’s 1-0 victory against Arsenal Women at Stamford Bridge.

It's official. ✍️

Naomi Girma plays for Chelsea Football Club. 🔵 pic.twitter.com/hb7OMyhE06

— Chelsea FC Women (@ChelseaFCW) January 26, 2025

Girma signs for Chelsea for a world-record fee

The world record for the highest transfer fees paid for a female footballer was held by Bay FC, who paid €685,000 for Racheal Kundananji in February 2024.

Chelsea has broken the transfer world record and also surpassed the British transfer signing record as well, previously held by Mayra Ramirez, who signed for Chelsea for a €384,000 transfer fee.

Girma has also become the first-ever €1M signing in women's football.

Chelsea Women gaffer Sonia Bompastor has made her first January 2025 signing with Girma as she will enter the team roster after Chelsea defender Kadeisha Buchanan suffered an ACL tear injury in November 2024.

World-record signing Naomi Girma was presented at Stamford Bridge 🤩🔵 pic.twitter.com/vqT0XneC0C

— B/R Football (@brfootball) January 26, 2025

Naomi Girma played an integral part in USWNT's Olympic Gold-winning campaign in Paris last year and was also named the US Soccer’s female player of the year in 2023. She was also named the NWSL Defender of the Year in 2022 and 2023.

However, Girma has signed a huge 4-year deal until 2029 as Chelsea head of women’s football Paul Green affirmed his confidence in this signing.

Naomi is a world-class defender who is now coming into the prime years of her career.

Girma also expressed her excitement about joining the Blues as she stated to BBC Sport:

I'm so happy and really excited to be here. It doesn't feel real,

There are a lot of things about Chelsea that made me want to come here - the culture, the winning mentality, staff and players.

It's a top environment to learn and grow in. Right now, that's what I'm looking to do.

Record transfers in women's football

East Bengal commenced their Indian Women's League (IWL) 2024-25 season with a commendable 2- 0 victory over Kickstart FC at the historic East Bengal Ground on 10th January 2025. Two brilliant goals scored by Sandhya Ranganathan and Resty Nanzary are enough to take three points for the Red and Gold brigade.

The home side's first goal materialized by another regular starter for India Soumya Guguloth played a crucial role in that goal. She delivered a ball from the right for Sulanjana Raul, whose header struck the crossbar. The rebound was found by Sandhya Ranganathan, who netted it with a beautiful header.

Read Also | Exclusive Shreya Hooda: Best Goalkeeper in IWL & NFC, National team and the World Cup dream

Maintaining their momentum, East Bengal doubled their lead early in the second half. In the 49th minute, Ugandan recruit Resty Nanzari, made a beautiful run from the left side of the pitch and showcased her skill by delivering a precise low shot into the near post, and securing a goal. That was enough to start a season with a commendable victory for the home side.

Kickstart FC, originating from Bengaluru, attempted to penetrate East Bengal's defence but struggled to create promising opportunities in the attacking third. The host's defence was rock solid and effectively neutralized a clean sheet to start their IWL campaign on a positive note.

Read Also | Indumathi, Shilky, Shreya among the winners of IWL 2023-24 awards

The victory provided East Bengal with a solid foundation for positive progress in the IWL season, they were rock solid in defence and also offensively great. Conversely, Kickstart FC will aim to enhance their strategies in the upcoming matches to rebound from the initial setback. 

Debutant Lhingdeikim's four goals along with Simran Gurung's brace helped the Indian Women's Football team thrash Maldives by 11-1 in their FIFA Friendly match in Bangalore. Kajol Dsouza, Pooja, Sibani Devi, and Khumukcham Bhumika Devi were the other scorers for Blue Tigeress. 

After beating Bangladesh by 14-0 in their final match of 2024, the Indian Women's Football team started the 2025 on a great note with an emphatic win over the visitors, Maldives. 

India head coach Joakim Alexandersson made many changes to the team that played against Bangladesh which handed two debutants a chance in the starting XI. Lhingdeikim, who scored four goals (twice in both halves) and Shibani Devi, who last year featured for East Bengal FC in the Indian Women's League were among the changes Alexandersson.

Read Also | Indian Women's Football team crush Maldives 14-0 in FIFA Friendly

Ribansi Jamu, Thingbaijam Sanjita Devi, Juhi Singh, Monisha Singha, Khumukcham Bhumika Devi and Simran Gurung were the players who made their debut off the bench. 

Read Also | Exclusive: Here's how Football giving hope to "Mini-Brazil of India"

Maldives looked good in the early minutes which forced Linthoingambi Devi to make some saves but once the Indian team resolved the issue and found their pace, they were tough to resist.

Lhingdeikim started the onslaught for India with an early goal in the 12th minute before providing an assist for Kajol Dsouza to extend the lead three minutes later. She found the net again in the next minute after receiving a perfect ball from Sibani. In the 17th minute, Sangita Basfore's header was deflected into the goal by Maldives captain Hawwa Haneefa. 

However, right before the halfway mark, Maldives scored their only goal of the match as Mariyam Rifa found the net after a defensive error from the Indian team. 

But, India struck again before half-time with Pooja and Shibani scoring one each. At half-time, India were leading by 6-1 and it looked like we would have the scoreline just like the last match. 

Lhingdeikim started the second half by scoring from a beautiful assist by Pooja in the 56th minute. A minute later she scored her fourth goal of the match by flicking a ball with his right foot for a neat finish. This time, Kajol was the assist provider for her. 

Simran Gurung, who came off the bench at halftime, scored two goals in the 62nd and 68th minutes. A red card for Maeesha Abdul Hannan did not help the Maldives as well as the defender made a deliberate handball inside the penalty box. Bhumika Devi converted the penalty in the 71st minute to complete the riot. 

Scorecard | India vs Maldives | FIFA Friendlies (Women's)

Maldives 1 (Mariyam Rifa 27’)

India 11 (Lhingdeikim 12’, 16’, 56’, 59’, Kajol Dsouza 15’, Hawwa Haneefa 17’ o.g., Pooja 41’, Sibani Devi 45+1’, Simran Gurung 62’, 68’, Khumukcham Bhumika Devi 71’ p)