Search Results for author: Paolo Cintia

Found 8 papers, 2 papers with code

Coach2vec: autoencoding the playing style of soccer coaches

no code implementations29 Jun 2021 Paolo Cintia, Luca Pappalardo

Capturing the playing style of professional soccer coaches is a complex, and yet barely explored, task in sports analytics.

Sports Analytics

An interactive dashboard for searching and comparing soccer performance scores

no code implementations16 Apr 2021 Paolo Cintia, Giovanni Mauro, Luca Pappalardo, Paolo Ferragina

The performance of soccer players is one of most discussed aspects by many actors in the soccer industry: from supporters to journalists, from coaches to talent scouts.

Explaining the difference between men's and women's football

no code implementations5 Jan 2021 Luca Pappalardo, Alessio Rossi, Giuseppe Pontillo, Michela Natilli, Paolo Cintia

Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football.


Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM

1 code implementation13 Jul 2020 Danilo Sorano, Fabio Carrara, Paolo Cintia, Fabrizio Falchi, Luca Pappalardo

In this paper, we describe PassNet, a method to recognize the most frequent events in soccer, i. e., passes, from video streams.

object-detection Object Detection

PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach

1 code implementation14 Feb 2018 Luca Pappalardo, Paolo Cintia, Paolo Ferragina, Emanuele Massucco, Dino Pedreschi, Fosca Giannotti

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 capturing all the events generated during a match (e. g., tackles, passes, shots, etc.).

BIG-bench Machine Learning

Human Perception of Performance

no code implementations5 Dec 2017 Luca Pappalardo, Paolo Cintia, Dino Pedreschi, Fosca Giannotti, Albert-Laszlo Barabasi

Humans are routinely asked to evaluate the performance of other individuals, separating success from failure and affecting outcomes from science to education and sports.

Effective injury forecasting in soccer with GPS training data and machine learning

no code implementations23 May 2017 Alessio Rossi, Luca Pappalardo, Paolo Cintia, Marcello Iaia, Javier Fernandez, Daniel Medina

Injuries have a great impact on professional soccer, due to their large influence on team performance and the considerable costs of rehabilitation for players.

BIG-bench Machine Learning

Quantifying the relation between performance and success in soccer

no code implementations2 May 2017 Luca Pappalardo, Paolo Cintia

The availability of massive data about sports activities offers nowadays the opportunity to quantify the relation between performance and success.

BIG-bench Machine Learning Relation

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