Search Results for author:
Found 8 papers, 2 papers with code
Coach2vec: autoencoding the playing style of soccer coaches
Capturing the playing style of professional soccer coaches is a complex, and yet barely explored, task in sports analytics.
An interactive dashboard for searching and comparing soccer performance scores
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
Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football.
Applications
Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM
In this paper, we describe PassNet, a method to recognize the most frequent events in soccer, i. e., passes, from video streams.
PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach
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.).
Human Perception of Performance
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
Injuries have a great impact on professional soccer, due to their large influence on team performance and the considerable costs of rehabilitation for players.
Quantifying the relation between performance and success in soccer
The availability of massive data about sports activities offers nowadays the opportunity to quantify the relation between performance and success.
