Performance Insights-based AI-driven Football Transfer Fee Prediction
Daniil Sulimov
We developed an artificial intelligence approach to predict the transfer fee
of a football player. This model can help clubs make better decisions about
which players to buy and sell, which can lead to improved performance and
increased club budgets. Having collected data on player performance, transfer
fees, and other factors that might affect a player's value, we then used this
data to train a machine learning model that can accurately predict a player's
impact on the game. We further passed the obtained results as one of the
features to the predictor of transfer fees. The model can help clubs identify
players who are undervalued and who could be sold for a profit. It can also
help clubs avoid overpaying for players. We believe that our model can be a
valuable tool for football clubs. It can help them make better decisions about
player recruitment and transfers.