Novak Djokovic has always kept Roger Federer and Rafael Nadal as the benchmark for his inspiration. On another Sunday final in Paris, his seventh, Djokovic finally surpassed his great rivals in the most significant category of all as he defeated Casper Ruud 7-6 (1), 6-3, 7-5 in the French Open 2023 Final to clinch his 23rd grand slam title. This historic victory means that Djokovic is now the men's sole grand slam record-holder alongside countless other records.

Read also: Laureus Sport Awards 2023: List of Winners

Novak Djokovic also now has three titles in Paris. No other man has ever won each grand slam tournament twice, but Djokovic is now the first to do so three times. He will also return to No 1 for a record-extending 388th week as the best player in the world.

Djokovic is now the oldest Roland Garros singles champion in history at 36 years and 20 days. He has also won the last three grand slam tournaments he has contested. Few people gave Ruud, the fourth seed, much of a realistic chance against the third seed Djokovic, but one helpful factor in his favour was the experience of contesting the French and US Open finals last season against Nadal and Carlos Alcaraz, with the Norwegian offering himself chances in the latter.

French Open 2023: What happened in the Men's singles Final?

Ruud started the match utterly vaporising his forehand, which sounded like a cannon in the acoustics of Court Philippe Chatrier. Ruud also mixed in smart drop shots and he confidently closed down the net. Djokovic started the match poorly as Ruud quickly took an early 3-0 lead.

Djokovic dug in and he relied on his legs as he soaked up a series of stinging Ruud forehands before drawing out an overhead error from Ruud to retrieve the break. Ruud kept his head up. The decisive moment of the match came while he led 5-4 with Djokovic serving. At 5-4, 30-30, Ruud gifted a forehand error on an easy second serve return. Sensing Ruud's nerves, Djokovic pounced. He held serve, he forced a tiebreak and then he picked Ruud's weak backhand apart to take the set.

Djokovic continued to methodically break down Ruud's backhand as he neutralised the Norwegian's serve. Djokovic controlled the contest until the end, patiently waiting for his moment to clinch the decisive break late in the third set before closing out one of the greatest successes of his career.

After most of Djokovic's grand slam wins, an old interview from his youth goes viral. Asked about his goals in the sport, a six-year-old Djokovic stated that his goal is to be the No 1 in the world. While ranking and grand slam titles used to be the ultimate goal, that fading, special era with Djokovic, Serena Williams, Nadal, and Federer has completely changed how people view success in the sport.

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.

The Australian Open is one of the four Grand Slam tournaments in tennis and is held annually in Melbourne, Australia.

The women's tournament has seen a number of talented players win the title in recent years.

Also Read: Australian Open Winners list (Men)

The Australian Open winners list (Women) are given below.

Players who won the tournament multiple times

Serena Williams, Victoria Azarenka, and Naomi Osaka are some of the players who have won the Australian Open multiple times. 

Serena Williams, meanwhile, cemented her position as the most successful women’s player of all-time at the event, with seven titles.

In 2021, Naomi Osaka became the first player from Japan to win the Australian Open. She defeated American Jennifer Brady in the final. 

Naomi Osaka also won the tournament in 2019, becoming the first Asian player to win a Grand Slam singles title. 

Sofia Kenin, who hails from the United States, won the 2020 tournament, beating Spain's Garbiñe Muguruza in the final. 

Kenin, who was just 21 years old at the time, became the youngest player to win the Australian Open since Maria Sharapova in 2008.

In 2018, Denmark's Caroline Wozniacki won her first Grand Slam title, defeating Romania's Simona Halep in the final. 

Wozniacki had previously been the runner-up at the tournament in 2011 and 2014. 

Serena Williams, who is widely considered one of the greatest female players of all time, won the Australian Open in 2017 and 2015. 

She defeated her sister Venus Williams in 2017 final and defeated Maria Sharapova in the 2015 final.

Also Read: Top 10 most-talked about Tennis dresses worn by female players

Madison Keys won Australian Open 2025 title

Meanwhile, Madison Keys of America won her first-ever Grand Slam title by becoming the champion in the women's singles event of the Australian Open 2025. 

In the title match, Keys defeated two-time defending champion Aryna Sabalenka 6-3, 2-6, 7-5. 

Keys is the second-oldest woman to claim her first Australian Open singles title in the Open era after China’s Li Na, who was 31 when she triumphed at Melbourne Park in 2014.

Here is the full list.

Australian Open Winners list (Women)

The Australian Open is one of the four Grand Slam tournaments in tennis and is held annually in Melbourne, Australia.

The tournament has been held since 1905 and has seen some of the greatest players in the sport compete for the title. 

Also Read: Most matches won in Grand Slams by any player | Top 10 List

In this article, we will brief you on the Australian Open winners list (Men).

Jannik Sinner claims Australian Open 2025 title

Jannik Sinner won the latest edition of the Australian Open after defeating Alexander Zverev 6-3, 7-6 (7-4), 6-3. 

With this, the Italian becomes the first man to retain the title since Novak Djokovic’s “three-peat” from 2019 to 2021.

Aged 23 years 163 days, Sinner is also the youngest man to win multiple Australian Open titles since Jim Courier in 1992-93.

Djokovic won the most titles

Over the last decade, the tournament has been dominated by Novak Djokovic who has won the tournament ten times in this period (2008, 2011, 2012, 2013, 2015, 2016, 2019, 2020, 2021 and 2023).

The only other players to win the tournament in this time are Roger Federer and Stan Wawrinka. 

Djokovic's record in the tournament is impressive, with his ten wins coming in a consecutive period of 11 years.

He has been able to defeat some of the greatest players in the world, such as Rafael Nadal and Roger Federer, in the final of the tournament.

Djokovic also has two hat-tricks of Australian Open titles, once between 2011-2013 and then doing an encore from 2019-2021.

The Serbian’s first Australian Open crown came in 2008, when he came from a set down to beat Frenchman Jo-Wilfried Tsonga 4-6, 6-4, 6-3, 7-6.

Djokovic has beaten Andy Murray in as many as four Australian Open finals while he has also beaten Rafael Nadal in two finals.

Also Read: Tennis Stats: Players to win back-to-back Grand Slam titles without losing

Roger Federer won the title twice in last decade 

On the other hand, Roger has won the Australian Open twice in the last decade, in 2017 and 2018. 

He has been a finalist in the tournament five times in this period, showing his consistency at the tournament. 

While Stan Wawrinka has won the Australian Open once, in 2014. He defeated Rafael Nadal in the final, who was the defending champion at the time. 

This win was a major upset and Wawrinka proved that he is capable of winning the biggest tournaments in the world.

It is interesting to note that, in the last decade, the men's singles of the Australian Open has been dominated by Swiss players, with four out of the ten titles won by either Roger Federer or Stan Wawrinka.

While Novak Djokovic, another Swiss player, has dominated the tournament with 10 titles. This shows the strength of Swiss players in the tennis world, particularly on hard courts.

Australian Open Winners list (Men)

The Grand Slam tournaments, also known as majors are the most important Tennis tournament. It is also considered as the world's four most important annual professional tennis tournaments.

Grand Slam is referred to the achievement of winning all four major championships in the same calendar year. The four Grand Slam championships are the Australian Open, French Open, Us Open and Wimbledon.

That's why it is also called the "Calendar-year Grand Slam" or "Calendar Slam". Players get most ranking points, prize money, public and media attention in this prestigious Tennis tournament.

Also Read: Most Matches Played in Grand Slam

So let's have a tour of the most matches won in Grand slams from top 10 list.

Most matches won in Grand Slams

10. John McEnroe | 167

John McEnroe, the American former Tennis player is in the 10th place of the top ten list of most matches won in Grand Slams.

Between 1977 and 1992 John McEnroe won 167 Grand Slam men’s singles matches.

The majority of his wins came at Wimbledon and the US Open with McEnroe sporting an 18-5 record at the Australian Open and a 25-10 record at the French Open.

He has won seven Grand Slam singles title including four at the US Open and three at Wimbledon.

Besides, he has won nine Grand Slam men's doubles titles- five at Wimbledon and four at the US Open and one Grand Slam mixed doubles title at the French Open.

He made a record of 82-3 in singles.

9. Stefan Edberg | 178

Stefan Edberg is the master of the serve-and-volley style in tennis. The former Swedish tennis player once served as a coach for the defending champion Roger Federer.

Edberg has won six Grand Slam singles titles and three Grand Slam men's doubles titles between 1985 and 1996.

Edberg claimed his personal high tally (56 match wins) at the Australian Open, playing the event at two different venues.

Although both his titles in Melbourne came on the grass courts of the Kooyong Stadium.

8. Andy Murray | 200

The British professional Tennis player was coached by his mother alongside with his brother.

Murray crossed the 200 threshold at the 2023 US Open and is one of two players entered into that tournament on this list.

He has won three Grand Slam singles title- two at Wimbledon and one at the US Open. He has reached eleven major finals.

Besides, Murray has won 46 ATP singles title, including 14 ATP Masters 1000 events.

7. Pete Sampras | 203

Pete Sampras, the American former tennis player was once named 'Pistol Pete' for his precise and powerful serve.

He has won 14 major singles titles- seven Wimbledon titles, two Australian Open and a joint Open Era record five US Open titles.

At his home Slam he would end on 71 match wins going out on a winning streak.

Also read: Federer vs Nadal vs Djokovic: Grand slam titles in detail

6. Ivan Lendl | 222

Ivan Lendl was the player from Czechoslovakia but later he obtained American citizenship. He is recognized as one of the greatest tennis player of all time.

Lendl was all out on 222 as he rounded off his 17-year professional career.

He won 205 matches at Grand Slam tournaments representing Czechoslovakia and 17 matches after his defection to the United States.

The former professional tennis player has achieved eight major singles titles and played 19 major finals.

He was runner-up a joint record 11 times, tied with Roger Federer and Novak Djokovic.

5. Andre Agassi | 224

The American world No.1 tennis player, Andre Agassi has to retire early from tennis as he was suffering from Sciatica. Still he has made many achievements in his tennis career.

He is the eight-time champion of major singles titles. He is an Olympic gold medalist as well as runner-up of seven other majors.

Agassi finished his career second on this list but would later be overtaken by the members of the big three.

4. Jimmy Connors | 233

Jimmy Connors was the second man in the Open Era to win three major titles in a calendar year.

Though he didn't permit to play the fourth major. The American former tennis player has achieved eight major singles titles- five US Open, two Wimbledons and one Australian Open.

Before the big three, Jimmy Connors held an impressive Grand Slam match win tally that some thought was unsurpassable.

3. Rafael Nadal | 314

Rafael Nadal has won 22 major singles titles. The right-handed player's main strength is his forehand.

The Spanish tennis player has a record of 14 French Open titles. Besides, he has won 92 ATP singles titles and 36 Masters titles.

He has won 112 matches at Roland Garros, a mark that will truly take some beating.

His 97% win rate at Roland Garros would stand out in any era but considering the kind of opponents he came up against he is the King of Clay.

2. Novak Djokovic | 361

The Serbian tennis player, Novak Djokovic dominate the men's Tennis. He is the most consistent player of this era.

Currently second but almost certainly odds on to finish his career atop this and many other lists is Novak Djokovic.

He claimed his 361st Grand Slam win in the final of the US Open in 2023.

Djokovic has achieved record 24 major singles titles and made a record of winning more than 80 matches in four Grand Slams.

He is the only man to complete a non-calendar year Grand Slam and the first man in the Open Era to achieve a double career Grand Slam.

Djokovic could even pull in Nadal’s 112 match wins at Roland Garros, although that would mean playing until at least 2026.

Also Read: Tennis Stats: Players to win back-to-back Grand Slam titles without losing

1. Roger Federer | 369

Roger Federer also dominate the men's tennis along with Novak Djokovic and Rafael Nadal. The three of them are known as the 'Big Three'.

Federer blazed his way to 369 Grand Slam match wins across his incredible career.

Also Read: Roger Federer: A Look At The Career Of One Of The Best Tennis Players

The Swiss tennis player has won 20 major singles titles and a record six-year Wimbledon titles. he break Pete Sampras' record of 14 major singles titles at Wimbledon in 2009.

His final Grand Slam match was his defeat to Hubert Hurkacz at the 2021 edition of Wimbledon.

To play at a consistent level at Grand Slams is a very difficult task. Rod Laver and Novak Djokovic are the two contrasting examples. In the Open Era, Rod Laver won 4 majors consecutively in 1969 and Novak Djokovic won 4 majors from mid-2015 to mid-2016. 

Also Read: Most Matches Played in Grand Slam

Let's take a look at the tennis Stats of players who won back-to-back Grand Slam titles without losing.

Tennis Stats | Players to win back-to-back Grand Slams

Rod Laver | 4 

Rod Laver knows what it takes to complete tennis’ ultimate achievement, having won the Grand Slam as an amateur in 1962 and again as a pro in 1969. He defeated Tony Roche in the US Open final (7-9, 6-1, 6-2, 6-2) to win a fourth consecutive major title. Laver won the Australian Open, French Open, Wimbledon, and US Open in the same calendar year (1969), which still stands as a unique achievement in the Open era.

As a professional Laver was banned from playing the Grand Slam tournaments as well as other tournaments. In 1968, Laver was again able to compete. During his career, he won eleven Grand Slam tournaments, eight Pro Slam tournaments, and five Davis Cup titles. He was also the first player to win four consecutive Grand Slams in the same calendar year in 1962.

Novak Djokovic | 4

Novak Djokovic also achieved four consecutive Grand Slam titles. He won the last two majors of 2015 (Wimbledon and US Open) and the first two Slams of 2016 (Australian Open and French Open). By winning the title in Paris in 2016, Djokovic completed a 'Career Grand Slam' (winning all four major tournaments), the fourth man to do so in the open era after Andre Agassi (1999), Roger Federer (2009) and Rafael Nadal (2010). He also completed a golden slam in 2023 when he won all four grand slams and the Olympic games. 

Djokovic is the first man to win 24 Slam titles. He has tied Margaret Court for the most ever of any player in any era. Djokovic also won 10 Australian Open, which makes him the record holder for the most titles at that tournament. 

Also Read: Grand Slam Records: Most Grand Slam Finals in Men's Tennis