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 …

The introduction of artificial intelligence has given us the ability to build predictive systems
with unprecedented accuracy. Machine learning is being used in virtually all areas in one …

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 …

The main purpose of this study was to develop and apply a neural network (NN) approach
and an adaptive neuro-fuzzy inference system (ANFIS) model for forecasting the attendance …

Basketball is known for the vast amount of data collected for each player, team, game, and
season. As a result, basketball is an ideal domain to work on different data analysis …

A Bayesian network is a graphical probabilistic model that represents the conditional
dependencies among uncertain variables, which can be both objective and subjective. We …

The paper describes Dolores, a model designed to predict football match outcomes in one
country by observing football matches in multiple other countries. The model is a mixture of …

Data mining is the process of extracting hidden patterns from data, and it's commonly used
in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First …

Predicting the outcome of a college football game is an interesting and challenging problem.
Most previous studies have concentrated on ranking the bowl-eligible teams according to …

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 …