Deep soccer analytics: learning an action-value function for evaluating soccer players
Given the large pitch, numerous players, limited player turnovers, and sparse scoring,
soccer is arguably the most challenging to analyze of all the major team sports. In this work …
soccer is arguably the most challenging to analyze of all the major team sports. In this work …
A comprehensive review of plus-minus ratings for evaluating individual players in team sports
LM Hvattum - International Journal of Computer Science in Sport, 2019 - sciendo.com
The increasing availability of data from sports events has led to many new directions of
research, and sports analytics can play a role in making better decisions both within a club …
research, and sports analytics can play a role in making better decisions both within a club …
Plus–minus player ratings for soccer
T Kharrat, IG McHale, JL Peña - European Journal of Operational Research, 2020 - Elsevier
The paper presents plus–minus ratings for use in association football (soccer). We first
describe the general plus–minus methodology as used in basketball and ice-hockey and …
describe the general plus–minus methodology as used in basketball and ice-hockey and …
[HTML][HTML] The collection, analysis and exploitation of footballer attributes: A systematic review
There is growing on-going research into how footballer attributes, collected prior to, during
and post-match, may address the demands of clubs, media pundits and gaming developers …
and post-match, may address the demands of clubs, media pundits and gaming developers …
[HTML][HTML] Clustering of variables methods and measurement models for soccer players' performances
In sports, studying player performances is a key issue since it provides a guideline for
strategic choices and helps teams in the complex procedure of buying and selling of players …
strategic choices and helps teams in the complex procedure of buying and selling of players …
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 …
player performance has become an important research topic. In this paper, we compare and …
Predicting match outcomes in association football using team ratings and player ratings
H Arntzen, LM Hvattum - Statistical Modelling, 2021 - journals.sagepub.com
The main goal of this article is to compare the performance of team ratings and individual
player ratings when trying to forecast match outcomes in association football. The well …
player ratings when trying to forecast match outcomes in association football. The well …
[PDF][PDF] Inverse reinforcement learning for team sports: Valuing actions and players
A major task of sports analytics is to rank players based on the impact of their actions.
Recent methods have applied reinforcement learning (RL) to assess the value of actions …
Recent methods have applied reinforcement learning (RL) to assess the value of actions …
A football player rating system
S Wolf, M Schmitt, B Schuller - Journal of Sports Analytics, 2021 - journals.sagepub.com
Association football (soccer) is the most popular sport in the world, resulting in a large
economic interest from investors, team managers, and betting agencies. For this reason, a …
economic interest from investors, team managers, and betting agencies. For this reason, a …
The higher-order PLS-SEM confirmatory approach for composite indicators of football performance quality
M Cefis, M Carpita - Computational Statistics, 2024 - Springer
Supporting the strategic decisions of a football team's management is becoming crucial. We
create some new composite indicators to measure the performance quality, applying both …
create some new composite indicators to measure the performance quality, applying both …