Performance Insights-based AI-driven Football Transfer Fee Prediction
This is an incremental tool for football clubs to optimize transfer decisions, potentially improving budgets and team performance.
The authors tackled the problem of predicting football player transfer fees using an AI model based on performance data, aiming to help clubs make better recruitment decisions and avoid overpaying.
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.