Not all passes are created equal: Objectively measuring the risk and reward of passes in soccer from tracking data

P Power, H Ruiz, X Wei, P Lucey - Proceedings of the 23rd ACM …, 2017 - dl.acm.org
In soccer, the most frequent event that occurs is a pass. For a trained eye, there are a myriad
of adjectives which could describe this event (eg," majestic pass"," conservative" to" poor …

Automatic discovery of tactics in spatio-temporal soccer match data

T Decroos, J Van Haaren, J Davis - Proceedings of the 24th acm sigkdd …, 2018 - dl.acm.org
Sports teams are nowadays collecting huge amounts of data from training sessions and
matches. The teams are becoming increasingly interested in exploiting these data to gain a …

Defining a historic football team: Using Network Science to analyze Guardiola's FC Barcelona

JM Buldú, J Busquets, I Echegoyen, F Seirul. lo - Scientific reports, 2019 - nature.com
Abstract The application of Network Science to social systems has introduced new
methodologies to analyze classical problems such as the emergence of epidemics, the …

Using network science to analyse football passing networks: Dynamics, space, time, and the multilayer nature of the game

JM Buldú, J Busquets, JH Martínez… - Frontiers in …, 2018 - frontiersin.org
During the last decade, Network Science has become one of the most active fields in
applied physics and mathematics (Newman, 2010). From all its possible applications, in this …

Cooperative networks in team invasion games: A systematic mapping review

S Palmer, AR Novak, R Tribolet… - … Journal of Sports …, 2023 - journals.sagepub.com
Team invasion games are sports in which individual team members interact and exchange
information to coordinate their behaviours and actions in pursuit of the common goal of …

Using player's body-orientation to model pass feasibility in soccer

A Arbues-Sanguesa, A Martín… - Proceedings of the …, 2020 - openaccess.thecvf.com
Given a monocular video of a soccer match, this paper presents a computational model to
estimate the most feasible pass at any given time. The method leverages offensive player's …

[图书][B] Sports analytics: Analysis, visualisation and decision making in sports performance

A Jayal, A McRobert, G Oatley, P O'Donoghue - 2018 - taylorfrancis.com
As the analysis of big datasets in sports performance becomes a more entrenched part of
the sporting landscape, so the value of sport scientists and analysts with formal training in …

Off-ball behavior in association football: A data-driven model to measure changes in individual defensive pressure

M Herold, A Hecksteden, D Radke, F Goes… - Journal of sports …, 2022 - Taylor & Francis
This study describes an approach to evaluate the off-ball behaviour of attacking players in
association football. The aim was to implement a defensive pressure model to examine an …

Hierarchical multimodal attention for deep video summarization

M Sanabria, F Precioso… - 2020 25th International …, 2021 - ieeexplore.ieee.org
The way people consume sports on TV has drastically evolved in the last years, particularly
under the combined effects of the legalization of sport betting and the huge increase of sport …

Player valuation in European football

E Nsolo, P Lambrix, N Carlsson - Machine Learning and Data Mining for …, 2019 - Springer
As the success of a team depends on the performance of individual players, the valuation of
player performance has become an important research topic. In this paper, we compare and …