Abstract The National Hockey League (NHL) is a major North American sports organization
that earns $3.3 billion in annual revenue, and its stakeholders—team management …

Abstract Machine learning (ML) is one of the intelligent methodologies that have shown
promising results in the domains of classification and prediction. One of the expanding areas …

This paper describes an expert system to predict National Hockey League (NHL) game
outcome. A new method based on both data and judgments is used to estimate the hockey …

The outcome of a basketball match depends on many factors, such as the morale of a team
or a player, skills, coaching strategy, and many others. Thus, it is a challenging task to …

The sports domain presents a number of significant computational challenges for artificial
intelligence (AI) and machine learning (ML). In this paper, we explore the techniques that …

In the recent years, sports outcome prediction has gained popularity, as demonstrated by
massive financial transactions in sports betting. One of the world's popular sports that lures …

The video game League of Legends has several professional leagues and tournaments that
offer prizes reaching several million dollars, making it one of the most followed games in the …

In the current world, sports produce considerable stafisfical informafion about each player,
team, games, and seasons. Tradifional sports science believed science to be owned by …

Baseball is a statistically filled sport, and predicting the winner of a particular Major League
Baseball (MLB) game is an interesting and challenging task. Up to now, there is no definitive …

Predictive systems have been employed to predict events and results in virtually all walks of
life. Football results prediction in particular has gained popularity in recent years. Statistical …