PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach Paper Published in ACM TIST

We are happy to announce that our paper PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach (by Luca Pappalardo, Paolo Cintia, Paolo Ferragina, Emanuele Massucco, Dino Pedreschi, Fosca Giannotti) has been published in ACM Transactions on Intelligent Systems and Technology!

See also the website of the PlayeRank spin-off of the University of Pisa and the Italian press article “Un algoritmo per l’azienda calcio: valutare un giocatore come se fosse un’azione” in Il Sole 24 Ore.