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FairValue
feat: production web app — React/Vite frontend + FastAPI backend with Render/Vercel deployment
b72652e | # FairValue Transfer Cap Estimator: Pitch Deck | |
| **"Removing Emotion from the Transfer Window"** | |
| ## 1. The Problem: The Winner’s Curse | |
| - **Clubs consistently overpay:** Emotional bidding wars and agent-driven scarcity lead to inflated transfer fees. | |
| - **Amortization Trap:** High fees create toxic balance sheets that become impossible to offload if the player underperforms. | |
| - **Regulatory Risk:** PSR/FFP rules now make "overpaying" a sporting catastrophe, not just a financial one. | |
| ## 2. The Solution: FairValue | |
| A proprietary "Hard Cap" calculator that uses **Hedonic Pricing Theory** and **Machine Learning** to strip away market noise. | |
| ## 3. The Core Technology: "The Busquets Factor" | |
| Our model doesn't just look at goals; it quantifies **Asset Liquidity Risk**: | |
| - **Contract Leverage:** Quantitative tracking of depreciating contract years. | |
| - **Age Decay:** Log-linear modeling of the physical peak window. | |
| - **Structural Injury Index:** Identifying players with recurring availability risks. | |
| ## 4. Competitive Advantage | |
| - **Objective Baseline:** Uses 12,500+ historical benchmarks to set a baseline price. | |
| - **Risk Discounting:** Unlike Transfermarkt, which gives a "valuation," we provide a **"Hard Cap"**—the maximum you can pay before the ROI becomes statistically negative. | |
| ## 5. Roadmap | |
| - **V1 (Current):** MVP using public Kaggle/Transfermarkt data. | |
| - **V2:** Integration of real-time Opta/StatsBomb performance event data. | |
| - **V3:** Portfolio risk management for entire squad recruitment strategies. | |
| --- | |
| **FairValue: Data-driven discipline for the modern sporting director.** | |