10 citations · 13 across the 3 of their papers we have counts for
6 papers
Coach2vec: autoencoding the playing style of soccer coaches
Paolo Cintia, Luca Pappalardo
Capturing the playing style of professional soccer coaches is a complex, and yet barely explored, task in sports analytics. Nowadays, the availability of digital data describing ev…
Explaining the difference between men's and women's football
Luca Pappalardo, Alessio Rossi, Giuseppe Pontillo +2
Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football. While the two sports are often compared ba…
Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM
Danilo Sorano, Fabio Carrara, Paolo Cintia +2
Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of data that describe all the spatio-temporal events that occur in each matc…
PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach
Luca Pappalardo, Paolo Cintia, Paolo Ferragina +3
The problem of evaluating the performance of soccer players is attracting the interest of many companies and the scientific community, thanks to the availability of massive data ca…
Human Perception of Performance
Luca Pappalardo, Paolo Cintia, Dino Pedreschi +2
Humans are routinely asked to evaluate the performance of other individuals, separating success from failure and affecting outcomes from science to education and sports. Yet, in ma…
Quantifying the relation between performance and success in soccer
Luca Pappalardo, Paolo Cintia
The availability of massive data about sports activities offers nowadays the opportunity to quantify the relation between performance and success. In this study, we analyze more th…