The application of machine learning techniques for predicting match results in team sport: A review
Predicting the results of matches in sport is a challenging and interesting task. In this paper,
we review a selection of studies from 1996 to 2019 that used machine learning for predicting …
we review a selection of studies from 1996 to 2019 that used machine learning for predicting …
Predicting sports results with artificial intelligence–a proposal framework for soccer games
G Fialho, A Manhães, JP Teixeira - Procedia Computer Science, 2019 - Elsevier
As the sports betting industry and technology have grown on a large scale, predicting the
outcome of a sports match using technologies approach is now crucial. In fact, humans have …
outcome of a sports match using technologies approach is now crucial. In fact, humans have …
Incorporating domain knowledge in machine learning for soccer outcome prediction
D Berrar, P Lopes, W Dubitzky - Machine learning, 2019 - Springer
The task of the 2017 Soccer Prediction Challenge was to use machine learning to predict
the outcome of future soccer matches based on a data set describing the match outcomes of …
the outcome of future soccer matches based on a data set describing the match outcomes of …
In-game behaviour analysis of football players using machine learning techniques based on player statistics
A García-Aliaga, M Marquina… - … Journal of Sports …, 2021 - journals.sagepub.com
The purpose of this research was to determine the on-field playing positions of a group of
football players based on their technical-tactical behaviour using machine learning …
football players based on their technical-tactical behaviour using machine learning …
Machine learning-based identification of the strongest predictive variables of winning and losing in Belgian professional soccer
Y Geurkink, J Boone, S Verstockt, JG Bourgois - Applied Sciences, 2021 - mdpi.com
This study aimed to identify the strongest predictive variables of winning and losing in the
highest Belgian soccer division. A predictive machine learning model based on a broad …
highest Belgian soccer division. A predictive machine learning model based on a broad …
On predicting soccer outcomes in the greek league using machine learning
MC Malamatinos, E Vrochidou, GA Papakostas - Computers, 2022 - mdpi.com
The global expansion of the sports betting industry has brought the prediction of outcomes of
sport events into the foreground of scientific research. In this work, soccer outcome …
sport events into the foreground of scientific research. In this work, soccer outcome …
Optimization analysis of football match prediction model based on neural network
S Guan, X Wang - Neural Computing and Applications, 2022 - Springer
How to build a football match prediction model and use scientific methods to solve the
prediction problem has become a key point in the application of artificial intelligence in the …
prediction problem has become a key point in the application of artificial intelligence in the …
SoccerNet: A Gated Recurrent Unit-based model to predict soccer match winners
J AlMulla, MT Islam, HRH Al-Absi, T Alam - PLoS One, 2023 - journals.plos.org
Winning football matches is the major goal of all football clubs in the world. Football being
the most popular game in the world, many studies have been conducted to analyze and …
the most popular game in the world, many studies have been conducted to analyze and …
The open international soccer database for machine learning
W Dubitzky, P Lopes, J Davis, D Berrar - Machine learning, 2019 - Springer
How well can machine learning predict the outcome of a soccer game, given the most
commonly and freely available match data? To help answer this question and to facilitate …
commonly and freely available match data? To help answer this question and to facilitate …
Analysis on the construction of sports match prediction model using neural network
H Li - Soft Computing, 2020 - Springer
To grasp the development of sports events in time and adjust the strategy in the process of
match in time, the traditional back-propagation neural network (BPNN) algorithm was …
match in time, the traditional back-propagation neural network (BPNN) algorithm was …