What does a footballer’s performance suggest they should be worth, and how does that compare with what the market actually pays them?

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The Football Valuation Engine uses performance data to estimate expected player wages and compare them with actual market valuations. By identifying the gaps between the two, the model highlights players who appear undervalued or overvalued relative to their on field contribution.

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Built initially using UEFA Champions League data and then applied across multiple professional football leagues, the model became the foundation for my research into systematic mispricing in football.

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The project brings together the interactive valuation tool, research paper and underlying dataset, allowing the analysis to be explored, tested and replicated.