In the scientific community a large literature on sports forecasting exists, covering a wide
range of different sports, methods and research questions. At the same time a lack of …

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 …

The typical gambler loses money but continues to gamble nonetheless. Why? Research
from orthodox and behavioral economics, psychology, sociology, and medicine has offered …

We analyse and compare NBA and Euroleague basketball through box-score statistics in
the period from 2000 to 2017. Overall, the quantitative differences between the NBA and …

This paper evaluates the efficiency of online betting markets for European (association)
football leagues. The existing literature shows mixed empirical evidence regarding the …

Featured Application For Sports Analysts, and similar, to deploy a novel machine learning
process to determine strategies in basketball derived from player tracking data. Such …

We show that the probabilities determined from betting odds using Shin's model are more
accurate forecasts than those determined using basic normalization or regression models …

Support vector machines (SVMs) are an emerging and powerful technique in co** with
classification problems. However, a lack of rule generation is a weakness of the SVM model …

Sports prediction has always been a spellbinding research area for sports fans, teams, team
managers, team players and a growing number of gamblers. Nowadays, companies are …

Betting odds are frequently found to outperform mathematical models in sports related
forecasting tasks, however the factors contributing to betting odds are not fully traceable and …