Predicting MSL Players Market Value using Machine Learning Algorithms

Music City Center 

In a sector of continuous growth and development, the market value of each soccer player has become a key element when developing his soccer career. Market value is used to describe how much a player is worth in the transfer market, and is momentous for soccer clubs to determine the financial standing of players.
Several significant factors can influence the market value of a soccer player, such as age, position, number of goals scored, the number of games previously played, etc. The data of soccer players from MLS (Major League Soccer) were gathered from MLSsoccer, Transfermarkt, and Opta Sports. The data were manipulated to achieve the goal of this project.
This study aims to build and compare predictive models using machine learning algorithms to estimate the market value of MLS players based on several key factors, which will help clubs and agents objectively predict the worth of a player they would like to buy or sell.

soccer

players' market values

MLS (Major League Soccer)

machine learning 

Section on Statistics in Sports