论文标题
俱乐部应该监视什么以预测足球运动员的未来价值
What should clubs monitor to predict future value of football players
论文作者
论文摘要
足球俱乐部每年都会投资大量的钱。对于增长和生存，对于招聘部门的目标是至关重要的。因此，确定监视以预测市场价值的正确参数非常重要。以下论文旨在确定成功预测足球运动员未来价值的相关功能。成功是根据Transfermarkt的市场价值来衡量的。为了选择突出的特征，我们使用拉索回归和随机森林算法。选择了一些明显的变量，但我们还观察到功能和未来市场价值之间的一些微妙的依赖性。最后，我们使用我们的预测对黄金男孩的提名人进行排名，并证明我们的方法可以根据他们的质量成功比较足球运动员。
Huge amounts of money are invested every year by football clubs on transfers. For both growth and survival, it is crucial for recruiting departments to make smart choices when targeting players. Therefore, it is very important to identify the right parameters to monitor to predict market value. The following paper aims at determining the relevant features that successfully forecast future value for football players. Success is measured against their market value from TransferMarkt. To select prominent features, we use Lasso regressions and Random Forest algorithms. Some obvious variables are selected but we also observe some subtle dependencies between features and future market value. Finally, we rank the Golden Boy nominees using our forecasts and show our methodology can successfully compare football players based on their quality.
