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Research MIT Paper Competition 25/26
1. Footballers as Financial Assets
A Quantitative Model for Market Valuation and Forecasting.
2. Making 98% Clubs Profitable
An AI-Driven Operating System for Financial Optimization in Football.
3. Redefining Scouting Intelligence
A Quantitative Framework for Player Similarity and Tactical Fit in Football.
4. Football as a Financial Market
A Quantitative Blueprint for Transferable Assets and Capital Allocation.
5. The Football Efficient Frontier
Balancing Profitability and Performance in Squad Optimization.
6. Redefining Player Ratings
A Multi-Factor ELO Algorithm for Football Analytics.
7. The Universal Translator
Bridging the Gap Between Data Scientists and Football Decision-Makers Using NLP and Structured Queries.
8. Quantifying Potential
A Machine Learning Framework for Football Performance Prediction.
9. From Empty Sheets to Full Coverage
The Data Revolution in Football.
10. The Billion-Euro Era
Football’s Shift from Sport to Market Machine.
11. Multi-Horizon Forecasting
Football Player Valuations Using Ensemble Machine Learning Models.
12. Contract Risk Analytics in Football
Detecting Overvaluation and Undervaluation at Scale.
13. From Arbitrary to Algorithmic
Data-Driven Optimization of Soccer Player Release Clauses.