According to Bild, following the start of the new Bundesliga season, artificial intelligence is becoming an important tool for club management as well. With the help of cameras and sensors, large amounts of data such as shots on goal, successful tackles, and successful pass completion rates are collected. Gamecode.AI, a company based in Munich, is also collecting large amounts of raw data and positional data.

Tobias Haupt is the co-founder and CEO of the company. The former goalkeeper and football manager previously led the German Football Association's academy for a long time and worked closely with former Germany coach and current Barcelona coach Hansi Flick. Additionally, Tobias Schweinsteiger, the brother of Bastian Schweinsteiger who won the World Cup, also serves as the company's head of football operations.

The company focuses on off-ball movement, measuring how players read the game and make decisions. In short, Gamecode.AI measures how intelligent players are during a match.

The company also began selling the Gamecode tool, which uses a cloud-based subscription system from the start. One of the first users was former Borussia Dortmund coach Edin Terzić, who will become head coach of Spanish club Athletic Bilbao starting in summer 2026.

Bild learned that beyond Terzić, executives, coaches, and scouts from top clubs in the Bundesliga, Premier League, MLS, and Swiss League are also using the system. Another new product is an AI WhatsApp chatbot designed to help sporting directors and scouts search for players.

At an event in Munich, Bild encountered this AI robot. Bild asked: "Please rank the top five right-backs most similar to Konrad Laimer and best suited to FC Bayern Munich's playing style."

To answer the question, the robot runs metrics customized to each club's philosophy, strategy, and financial conditions, and accesses data from over one billion data points. When analyzing financial feasibility, the AI uses market value and financial data from transfermarkt.de (a website owned by the Axel Springer SE group, just like Bild).

The answer was: "FC Bayern Munich plays in a 4-2-3-1 formation using traditional fullbacks. (...) Therefore, the right-back must have sufficient defensive stability and be able to progress the ball through one-on-one play, cutting inside, and launching attacks from the midfield area during offensive transitions, which are Laimer's defining characteristics. Transfer model: Bundesliga + Premier League. Realistic transfer fee range: no more than approximately €72 million."

The candidates the robot suggested were right-backs Michael Kayode (22, Brentford), Pedro Porro (22, Tottenham Hotspur), Dodô (27, Fiorentina), Nunes (27, Manchester City), and André Rachu (28, Rayo Vallecano).

For example, when evaluating Kayode, it wrote: "Realistic and very suitable." It also noted: "World-class ability to win the ball back, high-level one-on-one defending ability (...) His pressing style is superior to everyone else on this list." It added: "Market value has declined slightly (from €40 million to €35 million)," suggesting that the robot considers Kayode the strongest successor to Laimer on this list.

It should be noted that the robot did not use metrics developed by FC Bayern Munich to answer this question, as those would certainly not be public.

Whether algorithms can truly find better players or whether they ultimately only provide additional reference information for football professionals remains to be seen. What is certain is that in this multi-billion euro player transfer market, clubs are increasingly turning to artificial intelligence. Whether they can make better decisions with it will ultimately be decided on the pitch.

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