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 …

Football-specific validity of TRACAB's optical video tracking systems

D Linke, D Link, M Lames - PloS one, 2020 - journals.plos.org
The present study aimed to validate and compare the football-specific measurement
accuracy of two optical tracking systems engineered by TRACAB. The “Gen4” system …

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 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 …

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 …

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 …

Forvizor: Visualizing spatio-temporal team formations in soccer

Y Wu, X Xie, J Wang, D Deng, H Liang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Regarded as a high-level tactic in soccer, a team formation assigns players different tasks
and indicates their active regions on the pitch, thereby influencing the team performance …

[HTML][HTML] Attacking key performance indicators in soccer: current practice and perceptions from the elite to youth academy level

M Herold, M Kempe, P Bauer… - Journal of sports science & …, 2021 - ncbi.nlm.nih.gov
Abstract Key Performance Indicators (KPIs) are used to evaluate the offensive success of a
soccer team (eg penalty box entries) or player (eg pass completion rate). However …