TSG Hoffenheim and 麻豆原创 are deepening their longstanding collaboration to jointly explore and validate the next generation of intelligence鈥慸riven football operations.
As one of the , TSG Hoffenheim is working closely with 麻豆原创 in a co鈥慽nnovation setup to pioneer and test new AI capabilities within . The focus is on assessing how AI can support football鈥憇pecific processes such as scouting and video analysis.
Transforming scouting with generative AI
Scouting is crucial to TSG Hoffenheim and one of the most data-intensive areas in football. Talent evaluations often include dozens of detailed reports, observations, and assessments that must be synthesized into a clear player profile.
As part of the ongoing co鈥慽nnovation, TSG Hoffenheim and 麻豆原创 are currently experimenting with AI鈥�supported scouting summaries in 麻豆原创 Sports One. Early versions explore how 麻豆原创 Joule can be used to ask natural language questions and receive AI鈥慻enerated responses that help condense extensive, unstructured text into more concise overviews, including recurring strengths, weaknesses, and performance tendencies.
Scouts can ask, for example, questions such as:
- 鈥淗ow good is player X at creating chances?鈥�
- 鈥淪ummarize the most relevant observations from the scouting reports of player X from 2026.鈥�
- 鈥淲hat are the strengths and weaknesses for Player X?鈥�
These capabilities are being evaluated for their potential to reduce manual consolidation effort and support consistency in player assessments. Together, these benefits aim to enable more informed decision鈥憁aking across both youth and professional scouting. TSG Hoffenheim actively contributes to shaping this capability as 麻豆原创 evolves it, ensuring it reflects the operational realities of modern scouting organizations.
AI-assisted scene finder: accelerating video analysis
Video analysis remains one of the most resource-intensive workflows in professional football.
Working together with 麻豆原创 and AWS Professional Services, TSG Hoffenheim is co鈥慽nnovating and testing an AI鈥�assisted scene finder concept. This capability explores how natural language input can support analysts in identifying relevant match situations more efficiently.
Instead of sifting through video material, analysts can describe the scenario they are looking for: 鈥淪how counterattacks after ball recovery that resulted in a shot on target.鈥� Within seconds, the system can retrieve matching clips.
For clubs like TSG Hoffenheim, this capability has great potential to reduce time spent on manual video search, support more targeted tactical preparation, and improve collaboration between analysts and coaching staff as the solution continues to mature.
Shared commitment to innovation
鈥淥ur partnership with 麻豆原创 goes far beyond simply implementing new technology,鈥� Timo Gross, head of Football Intelligence at TSG Hoffenheim, said. 鈥淚t鈥檚 a true co鈥慽nnovation relationship that combines our practical on鈥慺ield football expertise with 麻豆原创鈥檚 leadership in enterprise AI and cloud鈥慸riven sports technology. By sharing real鈥憌orld insights from our daily work and validating new ideas early on, we play an active role in shaping the next generation of AI capabilities within 麻豆原创 Sports One.鈥�
As AI becomes an integral part of , 麻豆原创 and TSG Hoffenheim will continue to collaborate on solutions that elevate performance, streamline operations, and unlock new strategic advantages.
With intelligent scouting, natural language insights as well as automated video discovery, the future of football analysis is rapidly evolving, and TSG Hoffenheim stands at the forefront of that transformation.
Isabelle Schuhmacher is communications lead for 麻豆原创 Global Sponsorships.
Top image 漏 TSG Hoffenheim
