Spaces:
Running
Running
FairValue
feat: production web app — React/Vite frontend + FastAPI backend with Render/Vercel deployment
b72652e metadata
title: FairValue Transfer Cap Estimator
emoji: ⚽
colorFrom: green
colorTo: gray
sdk: streamlit
sdk_version: 1.32.0
app_file: app.py
pinned: true
license: mit
FairValue Transfer Cap Estimator
A rigorous, data-driven 'Transfer Ceiling Calculator' grounded in ML and Hedonic Pricing Theory.
FairValue Transfer Cap Estimator
A rigorous, data-driven 'Transfer Ceiling Calculator' grounded in ML and Hedonic Pricing Theory.
This application uses a trained XGBoost regressor to calculate the fair market valuation and risk-adjusted "Hard Cap" for football player transfers.
Key Features:
- ML Baseline Prediction: Log-transformed XGBoost regressor trained on 12,500+ transfer records.
- The Busquets Factor: Dynamic risk scoring for age, contract length, and injury history.
- Winner's Curse Prevention: Calculates a "Hard Cap" ceiling to prevent statistical overpayment.
- Live Search & Custom Player Mode: Test real players from our database or simulate new signings from scratch.
How to use:
- Select a player from the dropdown or toggle to Custom Player Mode.
- Adjust simulation parameters (Contract, Age, Injuries).
- Input the Selling Club Asking Price.
- Click Calculate Prediction to see the Hard Cap analysis!
Local Development:
pip install -r requirements.txt
streamlit run app.py
Built as a professional proof-of-concept for data-driven football recruitment.