sanjitva/Predicting-Football-Player-Transfer-Values
Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.
This project helps football clubs, agents, and scouts understand a player's market value by analyzing their on-field performance. It takes detailed statistical data from various leagues and seasons as input and outputs a predicted transfer value for individual players. Football club management, sporting directors, and player scouts would find this useful for strategic planning and transfer negotiations.
No commits in the last 6 months.
Use this if you need an objective, data-driven estimate of a football player's transfer value based on their recent performance metrics.
Not ideal if you're looking for a tool that considers non-performance factors like player popularity, brand endorsements, or injury history.
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Jupyter Notebook
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Last pushed
Oct 13, 2021
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