How are the best football clubs in the world deciding which players to sign and which to sell?In this episode, Edoardo Grandi sits down with Furkan Yagiz, Chief Operations Officer of Comparisonator, the AI football analytics platform tracking over 200,000 players across 271 leagues worldwide.Furkan breaks down how the platform started from a single Excel spreadsheet built by a chief scout at Bursa Spor and evolved into the AI intelligence layer used by clubs including Besiktas, Trabzonspor, FC Dallas, and LA Galaxy.We cover exactly how AI is changing the decisions that matter most inside a football club: which players to sign, when to sell, how to build a squad on a limited budget, and what jobs inside clubs will be replaced by autonomous AI agents in the next five to ten years.We also get into women's football, why Comparisonator built a dedicated analytics product for the women's game, and why the data already shows this is one of the most significant investment opportunities in sport right now.If you own, invest in, or work around football clubs, this conversation will change how you think about every transfer decision you make.What we cover:1. How Comparisonator was founded and what problem it was built to solve2. How AI simulates a player's performance in a new league before you sign them3. Which jobs inside football clubs AI agents will replace in the next decade4. Why women's football data requires a completely different analytical framework5. How player agents are now using data to sell their clients to clubs6. The commercial model: from consulting firm to SaaS to AI agent platform🎙️ Guest: Furkan Yagiz, Co-Founder of Comparisonator🌐 Comparisonator: comparisonator.com📩 Interested in collaborating or appearing on The Sport Businessman? Reach out at [email protected]🌐 Learn business models in sports and entertainment at sport-businessman.com

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