Identifying soccer players' playing styles: a systematic review

S Plakias, S Moustakidis, C Kokkotis… - Journal of Functional …, 2023 - mdpi.com
Identifying playing styles in football is highly valuable for achieving effective performance
analysis. While there is extensive research on team styles, studies on individual player …

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 …

Player vectors: Characterizing soccer players' playing style from match event streams

T Decroos, J Davis - Machine Learning and Knowledge Discovery in …, 2020 - Springer
Transfer fees for soccer players are at an all-time high. To make the most of their budget,
soccer clubs need to understand the type of players they have and the type of players that …

SoccerMix: Representing soccer actions with mixture models

T Decroos, M Van Roy, J Davis - … in Databases. Applied Data Science and …, 2021 - Springer
Analyzing playing style is a recurring task within soccer analytics that plays a crucial role in
club activities such as player scouting and match preparation. It involves identifying and …

Pass2vec: Analyzing soccer players' passing style using deep learning

H Cho, H Ryu, M Song - International Journal of Sports …, 2022 - journals.sagepub.com
The aim of this research was to analyze the player's pass style with enhanced accuracy
using the deep learning technique. We proposed Pass2vec, a passing style descriptor that …

6MapNet: Representing soccer players from tracking data by a triplet network

H Kim, J Kim, D Chung, J Lee, J Yoon… - International Workshop on …, 2021 - Springer
Although the values of individual soccer players have become astronomical, subjective
judgments still play a big part in the player analysis. Recently, there have been new attempts …

[PDF][PDF] Performance monitoring of soccer players using physiological signals and predictive analytics

S Ravindranathan, HD Ardakani, A Pimental… - NSF I/UCRC for …, 2017 - mfpt.org
With the rapid advancement in wearable sensor technologies and predictive analytics,
college and professional sports teams are facing new opportunities of leveraging such …

A methodology for the analysis of soccer matches based on pagerank centrality

J Rojas-Mora, F Chávez-Bustamante… - Sports management as …, 2017 - Springer
Data analysis in sports has adopted many different approaches given its usefulness in
quantitative and objective management. Several advances have been made considering the …

[PDF][PDF] Transformer-based Framework for Versatile Analysis of Events Data in Soccer

A Rovshitz, R Puzis - dtai.cs.kuleuven.be
In sports analytics, machine learning models are used for players' appointment analysis,
strategic planning, etc. Multiple rating systems were developed to rank the player …

6MapNet: Representing Soccer Players from Tracking Data by a Triplet Network

J Yoon, SK Ko - Machine Learning and Data Mining for Sports …, 2022 - books.google.com
Although the values of individual soccer players have become astronomical, subjective
judgments still play a big part in the player analysis. Recently, there have been new attempts …