STATSports leading the way for GPS tracking

Big-name Premier League clubs have chosen to partner up with STATSportswho are industry leaders in providing GPS tracking systems and analysis. 

Up to five of the top six in the league have already made the switch to STATSports, including Liverpool, Manchester United, Arsenal, Manchester City and Tottenham Hotspur – while the service is used by the majority of fellow Premier League sides.

These Premier League clubs have worked closely with STATSports as they developed Sonra 3.0 and Sonra Live which is the latest software upgrade that the Premier League will be set to receive – featuring marketing-leading analysis platforms and further improvement on athlete monitoring.

STATSports are widely regarded across professional football – in addition to their big-name Premier League clients, they also push further into the English FA and abroad across the world, venturing out to the likes of Paris Saint Germain and Juventus. 

STATSports were involved in the Project Restart by informing the Premier League with a Player Proximity Report, using their data to show which type of sessions would cause players to come to together more often. STATSports offers a quick and time-effective process, with download times four times faster than any platform. It means receiving results from a typical session for a squad of players would take under two minutes. 

For elite clubs, Sonra 3.0 is the ideal go-to solution and it further streamlines and enhances performance with a host of new features that will make a difference. Sonra 3.0 is the brand-new product launch by STATSports and the latest offering for anyone looking to acquire their very own GPS tracking and analysis. 

Among the key inclusions, session planning features have been added to the calendar, allowing club performance departments to map up training cycles for weeks in advance. Video integration in the Video Manager has been developed further while adding a full squad 2D positioning. There is also a Scientific Calculator, allowing practitioners to create bespoke custom metrics based upon their own requirements.

Users are now able to choose between ‘Light’ and Dark’ modes as they can customise their preferred theme when on the app. 

The launch of Sonra 3.0 has coincided with the introduction of a new iPad application called Sonra Live, enabling coaches to monitor training in real-time. 

Sonra Live’s real-time data has been independently validated to form a perfect correlation with downloaded data, making this the most accurate live-monitoring solution of its kind. Coaches can then make instant, informed and impactful decisions for anything they intended to achieve. 

Sonra Live features team-level reporting, detailed individual-player dashboards, drill cutting for precise session analysis, post-session reporting via PDF/CSV and synchronisation to desktop applications for further analysis. 

STATSports’ on-board metric processing means there will be no data drop-out and they are the only provider in the industry to give 100% identical live and post-session download data quality.  

With flawless results, this puts the power in the end users’ hands to make immediate decisions with confidence no matter what they want to do. Coaches can set multiple thresholds for individual players or full squads, while multiple coaches can each monitor their own iPads simultaneously. 

“This is an exciting day for STATSports and the many teams we work with. This is another major advancement in the level in which coaches and managers can monitor their players,” STATSports co-founder, Sean O’Connor said. 

“Technology is now truly integrated into the game and we have played our part in that. We have worked closely with those teams during lockdown and also used the time to finalise the development of our new Sonra platform – we’re confident that our clients will further benefit from working with us through the introduction of this.” 

The creation of both Sonra 3.0 and Sonra Live reaffirms STATSports’ commitment to being the industry leader in GPS tracking and innovations for this space, supplying this resource to world-renowned clubs. 

“We have really enjoyed developing this new software platform. Time is a key commodity for clubs,” STATSports co-founder, Alan Clarke said. 

“The quicker they can make decisions with reliable and accurate feedback, the greater the edge they have on their competition.  

“We will continue to push the boundaries of what is possible and ensure athletes can do the same on the training pitch and the competitive environment.” 

For more information on STATSports, you can find it here.

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Liam Watson is the Co-Founder & Publisher of Soccerscene. He reports widely on football policy, industry matters and technology.

Eyeball: Changing the foundation of scouting

The very foundation of scouting has changed forever. 

Eyeball is an Artificial intelligence (AI) powered product designed to assist footballing entities in scouting the potential football athletes from various countries around the world.

With over 100,000 players within the technologies database all comprised of youth players, football clubs across the globe are raising their eyebrows as to what this brilliant technology can provide.

The system acts as a football scout. Remotely and in the convenience of a smartphone device, the search and evaluation of performance capacity of the players within its database can be compared to football’s finest players. The service prides itself on optimising academy recruitment, without a club worrying about the financial difficulties involved in travel or acquisition of scouting personnel.

The contemporary scouting platform has an established and researched insight database, all gathered from the youth academies of Europe’s leading football giants.

European markets including the footballing nations of Spain, England, Germany, Holland, Belgium, and Croatia are also joined by the African markets of Ghana, Mali, Ivory Coast, Nigeria, Guinea, Senegal and Sierra Leone. These are the markets in which Eyeball operate within, acting as the ever growing customer base of their elite scouting technology.

Youth scouting is strenuous. Professional clubs who are struggling within their respective leagues due to being less financially opportunistic, are already on the back-foot. With its locality and lack of scouting network, the fundamental exercise in terms of growing a club and its talent pool, becomes surplus. The purpose of Eyeball and its technology is to make the scouting process simple yet effective, as it has essentially modernised the process, bridging the gap between potential players and professional clubs.

Determined to enhance its science, searchable player data is a primary focus of Eyeball in which they seek to further improve. This is through the analysation of video data from talented players throughout the globe, combatted with the collection of a prospects data.



The data collected is imperative. Driven by 13 statistical parameters, it includes shots on target, successful dribbles, incisive passes and passes in the final third – just to name a few.

The parameters collected can be searched by the club officials using the app, perhaps on the hunt for a player in whom possess specific qualities dependent on what the club requires on the pitch.

Summaries of key stats are compiled by AI based upon data collected from partner clubs that have detailed profiles upon talent within the database. The AI technology allows partnered clubs to put these prospects into AI generated match-simulations, allowing for the assessment of a players performance all through the use of Eyeball’s data breakdown technology.

The player app feature of Eyeball can be a considered a polarizing tool in which football participants can utilise in order to garner a tangible understanding of their ability. The player app allows players to access performance data from within the platform while also showcasing to the scouts using the technology, the ability in which the player possesses.

Games can be watched back by players, while Eyeball analyses the games and a breakdown of the performance. This allows players and coaches to make the necessary changes to a players training routine, showcasing the areas in which are in need of improvement.

It basically allows a player to sell themselves to scouts. Professional clubs are examining the profiles and the players are able to customize their profile, showcasing their greatest qualities in-match highlights. Matches can be watched back and analysed, as they are stored within Eyeball’s database.

Individuals can hunt for specific match moments, with a play-by-play game events feature dissecting every move a player makes throughout matches documented. Eyeball’s analysts watch each match closely, providing a breakdown of performance statistics. Players distribution performance, as well as their offensive and defensive performances are outlined.

Eyeball possesses the ambition of wanting to become a pioneer in bridging the gap between talented youth prodigies and becoming the next generational top tier of talent across the globe. All through the inclusive access of insight and data performance surveyed and interpreted through its system.

Over 100 professional clubs are using the Eyeball technology, with the company making major waves in regards to the foundation in which scouting is exercised. Perhaps it would be in the interest of Australia professional clubs to also utilise this ground-breaking technology for their benefit.  

TacticAI: Revolutionising the way coaches analyse corner kicks

TacticAI is an artificial intelligence (AI) system that can provide experts with tactical insights, particularly on corner kicks, through predictive and generative AI.

Importantly, it is a full AI system that could give coaches instant, extensive, and accurate tactical insights – that are also practical on the field.

As part of Google’s partnership with Liverpool FC, their DeepMind team have worked on this innovate project for a couple of years in an attempt to revolutionise the way elite football clubs are analysing corner kicks in the sport.

TacticAI demonstrates the potential of assistive AI techniques to revolutionize sports for players, coaches, and fans. Sports like football are also a dynamic domain for developing AI, as they feature real-world, multi-agent interactions, with multimodal data.

TacticAI is built to address three core questions:

  1. For a given corner kick tactical setup, what will happen? e.g., who is most likely to receive the ball, and will there be a shot attempt?
  2. Once a setup has been played, can we understand what happened? e.g., have similar tactics worked well in the past?
  3. How can we adjust the tactics to make a particular outcome happen? e.g., how should the defending players be repositioned to decrease the probability of shot attempts?

TacticAI’s main use is to assist current coaches by finding similar corner kicks and testing different tactics to influence a decision.

Instead of analysts reviewing the footage of previous games over and over again to discover a specific team’s corner routine, the technology computes the numerical representations of players to easily look up past routines.

The AI technology’s generative model allows human coaches to redesign corner kick tactics to optimise probabilities of certain outcomes, such as reducing the probability of a shot attempt for a defensive setup.

TacticAI provides tactical recommendations which adjust positions of all the players on a particular team. From these proposed adjustments, coaches can identify important patterns, as well as key players for a tactic’s success or failure, more quickly.

In Google’s quantitative analysis, it showed that TacticAI was accurate at predicting corner kick receivers and shot situations, and that player repositioning was similar to how real plays unfolded.

Human football experts from Liverpool FC found that the tech’s suggestions cannot be distinguished from real corners and were favoured over their original situations 90% of the time. The data is demonstrating its efficiency and usefulness at the top level.

Google are trying to find new ways to utilise AI in football because the sport is a very dynamic and challenging game to analyse. The company is using this technology to try and blend human expertise (Football coaches and analysts) with the AI’s analysis suggestions to help make coaching at the very top level more efficient.

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