Machine learning system for football player market value prediction, explainable AI (SHAP), and scouting opportunity detection using Transfermarkt-style data.
Sistema analítico para identificar jugadores infravalorados en el mercado de fichajes europeo mediante econometría y machine learning.
Market-value prediction for professional footballers, with a SHAP explanation behind every number. Evaluated on held-out seasons, not a random split. For scouting and sports-analytics work. Python · LightGBM · FastAPI · Next.js. Transfermarkt is never scraped.
Position-aware football player-valuation and recruitment engine, validated out-of-sample, plus a dependency-free scout-board frontend.
Cut through the clutter - data-driven estimation of the market value of Soccer players
⚽ PlayerValuator Pro v2.0 - Advanced AI-Powered Football Player Valuation Platform using Machine Learning
BIA 652 Final Project — AI-powered football player market value prediction using K-Means clustering and ensemble classifiers on Big 5 European league data
Soccer player market valuation - K-means segmentation plus GPU-accelerated XGBoost to predict transfer values, R-squared 0.87.
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