2 February 2026
Can AI learn when to transfer?
How a reinforcement-learning agent treats FPL as a sequence of squad-specific decisions.
00.football
Research on Fantasy Premier League, retold with clear language and original visualizations.
How a reinforcement-learning agent treats FPL as a sequence of squad-specific decisions.
How SportSQL translates natural-language football questions into queries and charts over live FPL data.
Why season-long FPL optimization must account for transfers, captaincy, prices, and future choices.
A visual reading of FPL forecasting, Monte Carlo simulation, captaincy, and integer optimization.
How a genetic algorithm searches the huge space of legal Fantasy Premier League squads.
A visual reading of recent form, time windows, and convolutional prediction in FPL.
A visual reading of the research on skill, luck, and decision-making in Fantasy Premier League.
How one FPL model combined player data, betting markets, fixtures, and public opinion.
A visual explanation of time-series forecasting, ensembles, and constrained FPL squad selection.
How a Bayesian FPL agent used uncertainty and long-term planning to compete with 2.5 million human managers.