England international James Ward-Prowse is currently the highest-valued player in the three leagues below England's top flight, with Transfermarkt valuing the Southampton midfielder at €38million. Alongside Ward-Prowse there are other 39 players making the most valuable players in EFL list.

Well-known players like Harvey Barnes, Romeo Lavia and Brenden Aaronson also make the top 10, although it remains to be seen whether players from the demoted trio remain with their clubs in their attempt to gain promotion at the first attempt.

Away from Leeds, Leicester and Southampton, the highest-valued player is Watford and Senegal winger Ismalia Sarr at €20million. Alex Scott of Bristol City, who has been linked with a host of Premier League clubs, also makes the top 20.

Elsewhere, players from Norwich City (Max Aarons and Gabriel Sara), Swansea City (Ben Cabango), Coventry City (Viktor Gyokeres) and Middlesbrough (Chuba Akpom) make the top 40 most valuable players in the EFL list. No player from League One or League Two managed to break the monopoly of Championship stars.

Here is the top 40 most valuable players in the EFL Championship and below:

1. James Ward-Prowse (Southampton, €38million)
2. Harvey Barnes (Leicester, €35million)
3. Romeo Lavia (Southampton, €32million)
4. Kyle Walker-Peters (Southampton, €25million)
5. Kiernan Dewsbury-Hall (Leicester, €25million)
6. Brenden Aaronson (Leeds, €25million)
7. Timothy Castagne (Leicester, €25million)
8. Tino Livramento (Southampton, €25million)
9. Wilfried Ndidi (Leicester, €25million)
10. Jack Harrison (Leeds, €22million)
11. Luis Sinisterra (Leeds, €22million)
12. Kamaldeen Sulemana (Southampton, €22million)
13. Wout Faes (Leicester, €20million)
14. James Justin (Leicester, €20million)
15. Armel Bella-Kotchap (Southampton, €20million)
16. Illan Meslier (Leeds, €20million)
17. Boubakary Soumare (Leicester, €20million)
18. Che Adams (Southampton, €20million)
19. Ismaila Sarr (Watford, €20million)
20. Alex Scott (Bristol City, €20million)
21. Mohammed Salisu (Southampton, €18million)
22. Kelechi Iheanacho (Leicester, €18million)
23. Georginio Rutter (Leeds, €18million)
24. Nathan Tella (Southampton, €18million)
25. Wilfried Gnonto (Leeds, €18million)
26. Robin Koch (Leeds, €18million)
27. Pascal Struijk (Leeds, €18million)
28. Patson Daka (Leicester, €18million)
29. Tyler Adams (Leeds, €18million)
30. Max Aarons (Norwich, €16million)
31. Carlos Alcaraz (Southampton, €15million)
32. Gavin Bazunu (Southampton, €15million)
33. Crysencio Summerville (Leeds, €15millon)
34. Harry Souttar (Leicester, €15million)
35. Maximilian Wober (Leeds, €14million)
36. Jan Bednarek (Southampton, €14million)
37. Rasmus Kristensen (Leeds, €13million)
38. Ben Cabango (Swansea, €13million)
39. Viktor Gyokeres (Coventry, €13million)
40. Paul Onuachu (Southampton, €13million)

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.

Since the Premier League era kicked off in August 1992, football fans have been awarded many exciting and iconic matches that took place across the English football arenas.

Over the years, there have been several end-to-end contests in the competition, but many high-scoring matches went in favour of a single team, handing them victories by huge margins. 

Sportz Point explores the 20 Biggest Premier League Wins in History since the start of the Premier League era in 1992.

20 Biggest Premier League Wins in History

1. Liverpool 9-0 Bournemouth – 27 August 2022

In the fourth match-week of the 2022-23 season, Liverpool produced an outstanding victory over AFC Bournemouth, winning by a huge 9-0 margin. 

When Liverpool put NINE past Bournemouth 😲 pic.twitter.com/Mmv7InaGOK

— Premier League (@premierleague) September 21, 2024

The Reds were leading by 5-0 at half-time at Anfield, as they went on to score four more in the second half. Luis Dias and Roberto Firmino each scored a brace, whereas Virgil Van Dijk, Harvey Elliot, Fabio Carvalho, and TremtAlexander-Arnold found themselves in the scoresheet.

Bournemouth defender Chris Mepham gifted an own goal to extend Pool's tally to nine. 

2. Manchester United 9-0 Southampton – 2 February 2021

Manchester United ran riot over Southampton on the 22nd matchday of the 2020-21 season, having a 9-0 win at Old Trafford. 

Seven different United players scored on the night, as Anthony Martial scored twice for the Red Devils. Aaron Wan-Bissaka, Marcus Rashford, Edinson Cavani, Scott McTominay, Bruno Fernandes, and Daniel James scored for the Ole Gunnar Solksjaer-coached side.

🎥 Sit back, relax and enjoy all the best bits from a memorable night at Old Trafford.

Sweet dreams, Reds ❤#MUFC #MUNSOU pic.twitter.com/M9bBoh9Rdo

— Manchester United (@ManUtd) February 3, 2021

Southampton defender Jam Bednarek was the other player to score another for the Reds, as he later completed a unique feat in the game with an own goal, a penalty conceded, and a red card, becoming the first player in Premier League history to do all three in a single match.

3. Southampton 0-9 Leicester City – 25 October 2019

In the 2019-20 season, Leicester City registered the biggest away win in Premier League history, going with full throttle over Southampton, crushing them with a 9-0 victory.

The biggest away win in Premier League history! 🤯#OTD in 2019, Southampton 0-9 Leicester City 🤩 pic.twitter.com/4SWPtKALM6

— Leicester City (@LCFC) October 25, 2024

Ayoze Perez and Leicester's legend Jamie Vardy each scored a hat-trick; whereas Ben Chilwell, Youri Tielemans, and James Maddison also scored for the Foxes. 

4. Manchester United 9-0 Ipswich Town – 4 March 1995

Manchester United produced a stampede over Ipswich Town to win 9-0 in the 1994-95 season, to register the first big-margin victory in the Premier League era.

⚽️⚽️⚽️⚽️⚽️@VanCole9 bagged FIVE as #MUFC thumped Ipswich 9-0 #OnThisDay in 1995! 🤯 pic.twitter.com/JGvuWsNVzS

— Manchester United (@ManUtd) March 4, 2019

United manager Sir Alex Ferguson had to field a team excluding Eric Cantona, who was suspended due to the infamous incident of kicking a fan in the chest. 

However, new signing Andy Cole unlocked his most dangerous version as he scored 5 goals himself, accompanied by Mark Hughes, who scored two, as Roy Keane and Paul Ince netted one goal each.

5. Tottenham Hotspur 9-1 Wigan Athletic – 22 November 2009

In the 2009-10 season, Tottenham Hotspur crushed Wigan Athletic, scoring past nine goals as the game ended in a 9-1 scoreline on November 22nd, 2009.

🗓 #OnThisDay in 2009, we put 𝗻𝗶𝗻𝗲 past Wigan! ✨ pic.twitter.com/AZH8kQsvEv

— Tottenham Hotspur (@SpursOfficial) November 22, 2021

Tottenham forward Jermain Defoe alone scored 5 goals in this game, as he still holds the record for the most goals scored in one half, scoring in the 51st, 54th, 58th, 69th, and 87th minutes of the game.

Peter Crouch, Aaron Lennon, David Bentley, and Niko Kranjkar scored one each for the Spurs, whereas Paul Scharner scored the only consolation goal for Wigan in a torrid evening for them.

6. Sheffield United 0-8 Newcastle United – 24 September 2023

On the sixth matchday of the 2023-24 season, Newcastle United steamrolled Sheffield United as the Magpies secured a massive 8-0 win in an away game at the Bramall Lane, Sheffield.

⚽️ Longstaff
⚽️ Burn
⚽️ Botman
⚽️ Wilson
⚽️ Gordon
⚽️ Almiron
⚽️ Guimaraes
⚽️ Isak

A year on from @NUFC's incredible 8-0 win away at Sheff Utd, featuring eight different scorers! 🏁pic.twitter.com/IRiIcCAXXa

— Premier League (@premierleague) September 24, 2024

Eight different players scored in the game: Sean Longstaff, Dan Burn, Sven Botman, Callum Wilson, Anthony Gordon, Miguel Almirón, Bruno Guimarães, and Alexander Isak; breaking the record for the most different goalscorers by a single team in a Premier League match.

7. Manchester City 8-0 Watford – 21 September 2019

It was another sixth matchday, but of the 2019-20 season, when Manchester City thumped Watford 8-0 at Etihad.

After just 18 minutes, City led 5-0, which is still the fastest that a side in the Premier League had ever been five goals ahead in a match. This was also the biggest victory Manchester City have ever produced in the English top-flight. 

Eight to choose from...but which one was your favourite? 🤔

1' ⚽️ @21LVA
7' ⚽️ @aguerosergiokun (PEN)
12' ⚽️ @Mahrez22
15' ⚽️ @BernardoCSilva
18' ⚽️ @Notamendi30
48' ⚽️ @BernardoCSilva
60' ⚽️ @BernardoCSilva
85' ⚽️ @DeBruyneKev

🔵 #ManCity pic.twitter.com/xkwqbT8ZHh

— Manchester City (@ManCity) September 22, 2019

Midfielder Bernardo Silva, who netted a hat-trick, was complimented by another midfield maestro David Silva, who scored in the very first minute. Sergio Aguero, Riyad Mahrez, Kevin De Bruyne, and Nicolas Otamendi scored one goal each.

8. Southampton 8-0 Sunderland – 18 October 2014

Southampton have mostly entered this list for suffering heavy defeats, but they went on a scoring spree over Sunderland on the eighth matchday of the 2014-15 season.

🔥 Goals galore 🔥

An 8️⃣ goal thriller on the south coast as @SouthamptonFC cruised past Sunderland, #OnThisDay in 2014 pic.twitter.com/EyKsnqVtnj

— Premier League (@premierleague) October 18, 2019

Santiago Vergini's own goal broke the deadlock in the first half, which ended in 3-0 in favour of Southampton. Graziano Pelle scored a brace and was accompanied by Jack Cork, Dusan Tadic, and Victor Wanyama.

Surprisingly, three own goals were scored by Sunderland as Vergini was joined by Lian Bridcutt and Patrick van Aanholt. No other club has scored three own goals in a Premier League game once, yet Sunderland have done it twice.

9. Chelsea 8-0 Aston Villa – 23 December 2012

Chelsea stamped a huge 8-0 victory over Aston Villa on December 13th, 2012, in the 2012-13 PL season.

Ramires scored a brace for the Blues, whereas Fernando Torres, David Luiz, Branislav Ivanovic, Frank Lampard, Oscar, and Eden Hazard accompanied the aforementioned Brazilian on the scoresheet, handing Villa their all-time club record defeat in a competitive fixture.

Eight goals against Villa back in December 2012! ⏪✨ pic.twitter.com/sUS2OZ91HV

— Chelsea FC (@ChelseaFC) November 30, 2024

10. Chelsea 8-0 Wigan Athletic – 9 May 2010

Chelsea recorded another victory with an 8-goal margin in the Premier League apart from the Aston Villa game, when they crushed Wigan Athletic 8-0 on the last matchday of the 2009-10 season.

Nicolas Anelka scored a brace, whereas Didier Drogba enjoyed a 17-minute hat-trick in the second half. Frank Lampard, Salomon Kalou, and Ashley Cole also scored for the Blues.

What a day, and what a win too! 🙌

8-0 v Wigan remains our record @PremierLeague victory! pic.twitter.com/423EnFM4St

— Chelsea FC (@ChelseaFC) May 9, 2019

Chelsea scored 103 goals that season, the second-highest-ever goalscoring tally for a team in a single Premier League season. Following this win, Chelsea clinched the 2009-10 PL title.

11. Newcastle United 8-0 Sheffield Wednesday – 19 September 1999

Although Newcastle United and Sheffield Wednesday both started the 1999-00 season poorly, the Magpies registered a storming 8-0 victory over Sheffield Wednesday on the eighth matchday of the season.

#OnThisDay in 1999, @NUFC beat Sheffield Wednesday 8⃣-0⃣ in Sir Bobby Robson's first home #PL game in charge! 😲@alanshearer scored 5⃣! 👏 pic.twitter.com/LsLn1ROnno

— Premier League (@premierleague) September 19, 2019

English legend Alan Shearer scored five goals alone, which was convincingly given company by Aaron Hughes, Kieron Dyer, and Gary Speed.

This is also the last season that Sheffield Wednesday took part in the Premier League. 

12. Middlesbrough 8-1 Manchester City – 11 May 2008

Middlesbrough shocked the world with an 8-1 riot over Manchester City on the last matchday of the 2007-08 Premier League season.

Afonso Alves netted an emphatic hat-trick, as Stewart Downing found the net twice. Adam Johnson, Fabio Rochemback, and Jeremie Aliadiere also scored to secure a dominant victory. Elano Blumer scored the only goal for Manchester City.

#OTD in 2008, a usually goal shy Boro hammered shellshocked Manchester City 8-1 at the Riverside 🔴⚪️ pic.twitter.com/l24d9KmtGV

— Boro Memories (@boro_memories) May 11, 2023

13. Nottingham Forest 1-8 Manchester United – 6 February 1999

Manchester United recorded their biggest margin in an away win as the Red Devils demolished Nottingham Forest 8-1 in the 1998-99 season.

⚽ 80'
⚽ 87'
⚽ 90'
⚽ 90'#OnThisDay in 1999, @ManUtd's Ole Gunnar Solskjær came off the bench and scored 4 goals in 10 minutes pic.twitter.com/13C7btI97N

— Premier League (@premierleague) February 6, 2019

Ole Gunnar Solskjaer scored four goals by himself, and remarkably, all of his goals came after 80 minutes of the game. Dwight Yorke and Andrew Cole both scored a brace each to put eight past the home side. Alan Rogers scored the only goal for Forest.

14. Nottingham Forest 7-0 Brighton – 1 February 2025

On February 1st, 2025, Nottingham Forest secured their biggest victory in the Premier League era, as they salvaged a massive 7-0 win over Brighton and Hove Albion in the ongoing Premier League season.

The Seagulls' defender Lewis Dunk opened the scoring for Forest with an unlucky own goal. Chris Wood, who is having a great season with Forest, scored a hat-trick, as Morgan Gibbs-White, Neco Williams, and Jota Silva also found the back of the net. 

7 - Nottingham Forest enjoyed their biggest league victory since beating Chelsea 7-0 in the top-flight in April 1991. Meanwhile, this was Brighton’s heaviest league defeat since a 9-0 loss at Middlesbrough on the opening day of the 1958-59 season in the second tier. Resounding. pic.twitter.com/VizSSWnKue

— OptaJoe (@OptaJoe) February 1, 2025

15. Liverpool 7-0 Manchester United – 5 March 2023

Liverpool handed a humiliation to Manchester United as the Reds scored seven past the Red Devils in a 7-0 win at Anfield in the 2022-23 season.

Cody Gakpo, Darwin Nunez, and Mohammad Salah all scored braces, and Roberto Firmino scored the seventh in the dying minutes to put the final nail in the coffin. 

A day to remember.

We think you might enjoy these, Reds...😁 pic.twitter.com/ZqNYPMWTuI

— Liverpool FC (@LFC) March 5, 2023

This was Liverpool's second victory in the same season with a 6+ goals margin after scoring nine against Southampton on the fourth matchday.

16. Manchester City 7-0 Leeds United – 14 December 2021

In the 2020-21 season, Manchester City crumbled Leeds United 7-0 to register their biggest victory in the Premier League era, along with a win over Norwich City with the same scoreline in 2013.

Phil Foden had drawn the first blood as Kevin de Bruyne netted a sublime brace. Jack Grealish, Riyad Mahrez, John Stones, and Nathan Ake also entered the scoresheet with a goal each.

8' ⚽️ Foden
13' ⚽️ Grealish
32' ⚽️ KDB
49' ⚽️ Mahrez
62' ⚽️ KDB
74' ⚽️ Stones
78' ⚽️ Ake#ManCity pic.twitter.com/1pPDeL0mPg

— Manchester City (@ManCity) December 15, 2021

17. Chelsea 7-0 Norwich City – 23 October 2021

On the ninth matchday of the 2020-21 season, Chelsea stormed over Norwich City securing a 7-0 victory at the Stamford Bridge. 

Chelsea show no mercy as Norwich are swept aside: 7-0 ☠️ pic.twitter.com/HHWMfiEcm4

— 433 (@433) October 23, 2021

Mason Mount scored a hat-trick with two late goals in the dying minutes, as Callum Hudson-Odoi, Reece James, and Ben Chilwell each found the back of the net once. Max Aarons scored an own goal to extend the woes for Norwich.

18. Crystal Palace 0-7 Liverpool – 19 December 2020

Liverpool neared perfection to register their biggest away win in the Premier League as they eased past Crystal Palace at Selhurst Park on December 19th, 2020, in the 2020-21 season.

Takumi Minamino opened the account for the Reds in the game that saw two braces from Roberto Firmino and Mohamed Salah. Sadio Mane and Jordan Henderson also entered the scoresheet with one goal each.

𝗦𝗘𝗩𝗘𝗡. 𝗦𝗣𝗘𝗖𝗜𝗔𝗟. 𝗦𝗧𝗥𝗜𝗞𝗘𝗦. 😱

Enjoy the best bits from our incredible 7-0 win at Crystal Palace 🤩⚽️ pic.twitter.com/euUcpit4hq

— Liverpool FC (@LFC) December 19, 2020

19. Manchester City 7-0 Norwich City – 2 November 2013

During the 2013-14 Premier League season, Man City registered a dominant 7-0 thumping over Norwich City on November 2nd, 2013.

Five different scorers accumulated the huge tally for the Cityzens – David Silva, Alvaro Negredo, Yaya Toure, Sergio Aguero, and Edin Dzeko. However, two other goals came from two own goals scored by Bradley Johnson and Russell Martin.

🔵 @ManCity were in seventh heaven #OnThisDay in 2013... pic.twitter.com/XDpXLCsvkG

— Premier League (@premierleague) November 2, 2018

20. Chelsea 7-0 Stoke City – 25 April 2010

This was the first time in the 2009-10 season that Chelsea netted seven past the opponent, as the Blues posted a magnificent 7-0 win over Stoke City on matchday 36th, before another 8-0 win over Wigan in the last matchday.

The Top 7 Biggest Wins of The Premier League 2009/10 Season:

7. Liverpool 6-1 Hull City
6. Burnley 1-6 Manchester City
5. Chelsea 7-2 Sunderland
4. Chelsea 7-1 Aston Villa
3. Chelsea 7-0 Stoke City
2. Chelsea 8-0 Wigan
1. Spurs 9-1 Wigan#10YearsSince2010 #FootballLists pic.twitter.com/AhPMLfwwRQ

— The Extreme Football Enthusiast (@ExtremeFootbal4) January 29, 2020

Salomon Kalou netted a brilliant hat-trick, accompanied by a brace from Frank Lampard. Daniel Sturridge and Florent Maouda scored one goal each to hand Stoke a distressing evening.

Hello and welcome to sports points another live coverage of Premier League football. Tonight, we will be covering the Premier League 2024-25 fixture of Manchester United vs Southampton at the iconic Old Trafford Stadium

This will be Manchester United's first home match of 2025 and Ruben Amorim and his men will be looking for a win since last month. However, United will be confident after knocking out Arsenal in the 3rd round of the FA Cup on Sunday.

On the other hand, the Saints have not won a game since their win against Everton in November last year.

So sit back and relax as we bring you all the live updates of this exciting fixture from our web desk. Keep refreshing the page to get new updates regularly.

Mohammed Salah once again proved why he is one of the greatest wingers of his generation scoring 2 goals to give Liverpool the much-needed win against Kieran Mckenna's Southampton.

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First Half

Liverpool dominated possession early in the match, but it was Southampton who threatened to open the scoring first as Mateus Fernandes tested Kelleher’s reactions from distance.

Dominik Szoboszlai gave Liverpool the lead with a superb strike in the 30th minute, but Southampton equalized before halftime through Adam Armstrong, who provided a deft finish in the 42nd minute.

The visitors kept on piling the pressure but Southampton was resolute in defending and getting back into shape as quickly as possible which made it difficult to break them down. this kept the scores tied heading into the break.

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Second Half

The Saints pulled ahead early in the second half when Mateus Fernandes scored in the 56th minute, capitalizing on Armstrong’s assist. However, Liverpool responded with intensity, as Mohamed Salah leveled the match in the 65th minute after a clever setup by Ryan Gravenberch.

Salah sealed the win with a calmly taken penalty in the 83rd minute, completing his brace and securing all three points for the visitors.

Read Also| Five Arsenal stars who left and went on to win the Premier League with other clubs

Southampton fought hard, with Fernandes and Armstrong among their standout performers, but Liverpool's attacking quality proved decisive. The Reds' resilience kept them in contention in the Premier League title race.

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Final Score

Liverpool- 3 (Szoboszlai 30', Mohammed Salah 65', 83')

Southampton- 2 (Armstrong 42', Fernandez 56')