Researcher ORCID Identifier
0009-0004-3653-0537
Graduation Year
2025
Date of Submission
4-2025
Document Type
Campus Only Senior Thesis
Degree Name
Bachelor of Arts
Department
Mathematical Sciences
Reader 1
Mark Huber
Terms of Use & License Information
Rights Information
© 2025 Eduardo J MelladoJacinto
Abstract
The transfer market has long been a staple of modern-day soccer around the world. Teams use it to acquire players who can strengthen their team or to sell players for a profit. For the players who join new clubs, transfers offer an opportunity to advance their careers. In recent memory, global superstars such as Cristiano Ronaldo, who joined Real Madrid and Lionel Messi, who joined Paris Saint-German on a free transfer. In this project, I employ various predictive methods to estimate a player’s market value based on their performance statistics. Then, I use a logistic predictive method to estimate the probability of a player being transferred based on their demographic information (club, nationality, age, etc.) for all players in the five major European leagues (France’s Ligue 1, England’s Premier League, Spain’s La Liga, Italy’s Serie A, and Germany’s Bundesliga).
Recommended Citation
Mellado Jacinto, Eduardo J., "Predicting Transfer Valuations and Transfer Probabilities of Football Players Within the Top Five Major European Soccer Leagues" (2025). CMC Senior Theses. 4024.
https://scholarship.claremont.edu/cmc_theses/4024
This thesis is restricted to the Claremont Colleges current faculty, students, and staff.
