A comprehensive review of computer vision in sports: Open issues, future trends and research directions

BT Naik, MF Hashmi, ND Bokde - Applied Sciences, 2022 - mdpi.com
Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …

Spatio-temporal analysis of team sports

J Gudmundsson, M Horton - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
Team-based invasion sports such as football, basketball, and hockey are similar in the
sense that the players are able to move freely around the playing area and that player and …

Actions speak louder than goals: Valuing player actions in soccer

T Decroos, L Bransen, J Van Haaren… - Proceedings of the 25th …, 2019 - dl.acm.org
Assessing the impact of the individual actions performed by soccer players during games is
a crucial aspect of the player recruitment process. Unfortunately, most traditional metrics fall …

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

L Pappalardo, P Cintia, P Ferragina… - ACM Transactions on …, 2019 - dl.acm.org
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 …

A goal scoring probability model for shots based on synchronized positional and event data in football (soccer)

G Anzer, P Bauer - Frontiers in sports and active living, 2021 - frontiersin.org
Due to the low scoring nature of football (soccer), shots are often used as a proxy to evaluate
team and player performances. However, not all shots are created equally and their quality …

Machine learning in men's professional football: Current applications and future directions for improving attacking play

M Herold, F Goes, S Nopp, P Bauer… - … Journal of Sports …, 2019 - journals.sagepub.com
It is common practice amongst coaches and analysts to search for key performance
indicators related to attacking play in football. Match analysis in professional football has …

A survey on location and motion tracking technologies, methodologies and applications in precision sports

J Liu, G Huang, J Hyyppä, J Li, X Gong… - Expert Systems with …, 2023 - Elsevier
Sports involve commonly players and equipment of high dynamics. Their location and
motion data are essential for sports digitalization-related applications, such as from …

[PDF][PDF] Beyond expected goals

W Spearman - Proceedings of the 12th MIT sloan sports analytics …, 2018 - researchgate.net
Many models have been constructed to quantify the quality of shots in soccer. In this paper,
we evaluate the quality of off-ball positioning, preceding shots, that could lead to goals. For …

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 …

Data-driven detection of counterpressing in professional football: a supervised machine learning task based on synchronized positional and event data with expert …

P Bauer, G Anzer - Data Mining and Knowledge Discovery, 2021 - Springer
Detecting counterpressing is an important task for any professional match-analyst in football
(soccer), but is being done exclusively manually by observing video footage. The purpose of …