Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review

FR Goes, LA Meerhoff, MJO Bueno… - European Journal of …, 2021 - Taylor & Francis
In professional soccer, increasing amounts of data are collected that harness great potential
when it comes to analysing tactical behaviour. Unlocking this potential is difficult as big data …

State of the art of sports data visualization

C Perin, R Vuillemot, CD Stolper… - Computer Graphics …, 2018 - Wiley Online Library
In this report, we organize and reflect on recent advances and challenges in the field of
sports data visualization. The exponentially‐growing body of visualization research based …

Human-AI collaboration in data science: Exploring data scientists' perceptions of automated AI

D Wang, JD Weisz, M Muller, P Ram, W Geyer… - Proceedings of the …, 2019 - dl.acm.org
The rapid advancement of artificial intelligence (AI) is changing our lives in many ways. One
application domain is data science. New techniques in automating the creation of AI, known …

How do data science workers collaborate? roles, workflows, and tools

AX Zhang, M Muller, D Wang - Proceedings of the ACM on Human …, 2020 - dl.acm.org
Today, the prominence of data science within organizations has given rise to teams of data
science workers collaborating on extracting insights from data, as opposed to individual data …

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

A Rossi, L Pappalardo, P Cintia, FM Iaia, J Fernández… - PloS one, 2018 - journals.plos.org
Injuries have a great impact on professional soccer, due to their large influence on team
performance and the considerable costs of rehabilitation for players. Existing studies in the …

The impact of technology on sports–A prospective study

N Frevel, D Beiderbeck, SL Schmidt - Technological Forecasting and Social …, 2022 - Elsevier
Rapid technological progress and digitalization have considerably changed the role of
technology in sports in the past two decades. As the human limits of performance have been …

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 …

Bring it to the pitch: Combining video and movement data to enhance team sport analysis

M Stein, H Janetzko, A Lamprecht… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Analysts in professional team sport regularly perform analysis to gain strategic and tactical
insights into player and team behavior. Goals of team sport analysis regularly include …

A survey of competitive sports data visualization and visual analysis

M Du, X Yuan - Journal of Visualization, 2021 - Springer
Competitive sports data visualization is an increasingly important research direction in the
field of information visualization. It is also an important basis for studying human behavioral …

How much automation does a data scientist want?

D Wang, QV Liao, Y Zhang, U Khurana… - arXiv preprint arXiv …, 2021 - arxiv.org
Data science and machine learning (DS/ML) are at the heart of the recent advancements of
many Artificial Intelligence (AI) applications. There is an active research thread in AI,\autoai …