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.  

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The ball is no longer just being improved it is being connected

The humble football is becoming one of the more technologically advanced objects on a football pitch.

Across the A-Leagues, Mitre’s new Ultimax Pro is focused on improving what happens when the ball is kicked, while LaLiga has taken the next step by turning the ball into a source of live match data.

The contrast shows how football technology is moving in two directions at once, improving the physical performance of equipment while increasingly connecting it to the digital systems surrounding the game.

Refining the Physical Object: Mitre’s Ultimax Pro

The Ultimax Pro, which will be used across the 2026/27 A-League Men and Ninja A-League Women seasons, incorporates Mitre’s HyperFlow, HyperFoam, HyperSeal and Delta Skin technologies.

Its debossed grooves are designed to reduce drag and improve stability in flight, while the cushioning, bonding and surface technologies are aimed at producing consistent rebound, durability and control. The ball carries FIFA Quality Pro certification, reflecting the testing standards required for professional match balls.

The technology is largely invisible to supporters. Its purpose is to make the ball behave more predictably for players, rather than fundamentally changing the football itself.

Connecting the Ball to the Digital Ecosystem: LaLiga’s Sensor-Driven Approach

LaLiga’s approach is different.

The Spanish competition has introduced a radio-frequency sensor developed by KINEXON into its PUMA match ball, with the technology being used across every LaLiga EA Sports fixture this season.

The sensor continuously transmits information about the ball’s position and the precise moment of contact. Around 12 antennas installed in each stadium capture the data and feed it into LaLiga’s wider technology infrastructure.

That gives the ball a role beyond simply being the object of play.

Knowing exactly when the ball is touched can help officials in a variety of situations. Offside, handballs, deflections and other decisions where a difference of milliseconds can affect the outcome could all benefit.

But the more interesting development may sit outside officiating.

LaLiga is using the connected ball to create xBALL, an official data layer that can feed broadcasts, digital products and future second-screen experiences. Data such as shot speed, ball spin and trajectory could all be incorporated into its media and digital products.

The ball is no longer just something that manufacturers compete to make faster, more durable or more responsive. It can also become a source of proprietary data that leagues can use to improve broadcasts, develop digital products and create new ways for supporters to understand the game.

The Ball as Part of Football’s Intelligence Layer

Mitre is refining the physical object. LaLiga is connecting that object to the digital ecosystem of the match.

Together, however, they point to the same direction of travel.

Football equipment is becoming increasingly intelligent.

The evolution is not necessarily about adding technology for its own sake. In the A-Leagues, the objective is consistency: predictable flight, touch and rebound. In LaLiga, the objective is precision and information: knowing exactly where the ball is and when it was touched.

The commercial opportunity comes from what can be built around those capabilities.

As stadiums become more connected, broadcasts become more data-rich and clubs and leagues collect increasingly detailed information about matches, the football itself can become another input into that infrastructure.

It also changes the relationship between equipment manufacturers and competitions.

A match ball used to be primarily a physical product supplied to a league. Connected technology creates the possibility of the ball becoming part of a broader technology stack involving officiating systems, broadcast platforms, analytics and fan-facing digital products.

The A-Leagues are starting with the physical performance of the ball. LaLiga is showing what can happen when that physical object becomes connected.

The next generation of football technology may not be something players wear or referees use.

It may be the ball itself.

‘Wunderbar’ – FC Bayern turns to enterprise AI with Wonderful partnership

FC Bayern Munich is taking another step into the world of artificial intelligence after agreeing to a three-year global partnership with enterprise AI company Wonderful. The deal makes Wonderful the German club’s Official Enterprise AI Partner until 2029. The partnership will focus on putting AI into real-world use across Bayern’s operations, rather than limiting it to experiments or demonstrations.

AI to assists Matchday Fan Services

Wonderful’s first project will target one of the busiest and most varied areas of the club: matchday fan support. Specifically, initial implementation will be an AI agent designed to provide digital ticket support. Matchdays create a huge spike in demand for customer service for all manner of reasons: fans may struggle to access tickets, encounter account problems or need help with time-sensitive issues shortly before kick-off.

Bayern plans to use Wonderful’s technology to handle these requests faster than previously. Instead of each individual case entering a traditional support queue, the AI agent can process requests instantaneously, interacting with the club’s existing systems to hopefully resolve it. The aim is simple: get fans answers in moments, and into their seats!

The system will be integrated into Bayern’s existing technology environment – important as the AI will not operate as a separate chatbot disconnected from the club’s data and systems. It is being designed to work within the infrastructure Bayern already uses.

How Wonderful AI works

Wonderful describes its platform as an ‘enterprise AI system built to create, operate and improve AI agents.’ Those agents can perform tasks rather than simply generate text. They can work with company data, access connected systems and complete multi-step processes. The platform uses a system of reusable “skills”. Each skill can contain the instructions, tools, information and checks needed to complete a particular task. An agent can then use the appropriate skills depending on what a user needs.

For Bayern, that could mean an agent identifying that a fan has a ticket-access problem, retrieving the relevant information from the club’s systems and helping resolve the issue. Wonderful also connects its agents to existing enterprise systems. Its platform is designed to work with data platforms, customer relationship systems and other systems of record. This allows an agent to act on current information instead of relying solely on a static database.

More than a ticketing tool

Bayern and Wonderful have indicated further enterprise AI use cases will be introduced during the partnership. While customer support is an obvious starting point, AI agents could theoretically assist internal teams, automate administrative workflows or help employees find and process information.

Wonderful’s platform is designed to support customer-facing agents as well as internal and back-office workflows. It can operate across channels including chat, email and voice, giving the partnership room to expand beyond the first use case. The company also uses a deployment model built around teams working directly with organisations to put AI into production.

Bayern’s AI Strategy Enters a New Phase

The partnership signals a broader shift in how football clubs can use AI. Rather than focusing solely on analytics, Bayern is looking at AI as part of its everyday operations.

The first test will come through fan service. If the ticketing agent can reliably solve problems during the pressure of matchdays, the club will have a practical foundation for expanding AI into other areas. For the club, the biggest opportunity is therefore not one chatbot, but the creation of AI infrastructure that can support multiple parts of its organisation.

The three-year partnership gives the club and Wonderful time to develop that infrastructure. The first use case is focused and practical. The longer-term ambition is considerably broader. The next phase will be about proving that technology can make the experience better for fans while also making the organisation more efficient behind the scenes.

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