The development of artificial intelligence (AI) and machine learning has touched numerous parts of human lives, including sports. People are seeking automation, analytics, better insights for decision making, and more. Sports betting projects like Mostbet aviator use AI and machine learning to predict the game outcomes or the whole team’s performance in the season.
In this article, we shall discuss the six most interesting uses of AI in sports.
Let’s get started!
Table of Contents
Performance analytics and enhancement proposition
There are multiple ways a team in sports can become better. One of the simplest -gather analytics, spot the trends, and improve the weak points that show through these trends.
AI analytics enhance this. The AI algorithms can dig deep into the seasonal trends and regularities and come back with suggestions for improvements and enhancement propositions.
Injury prediction and prevention
Technology like body posture analysis, based on computer vision, a subset of AI that stands for the visual recognition of physical objects by a machine, can track the player and atheletes’ movements through video recordings and determine which habits and motions place sportsmen at a higher risk of trauma. After, the recommendation for the improvement can be offered so the sportsmen can prevent unnecessary injuries.
Also, AI can help create personalized training plans for every player of the team in team sports, which is not that easy otherwise.
The personalized training plans allow players to prevent overtraining or unsafe movement patterns and acquire generally safer practices.
Tactical and strategic decision making
AI is good at analyzing the rival teams and breaking down their strong and weak points. This can help to train the teams based on the rivals’ strengths and weaknesses, and in this situation, the team that will use the AI algorithm first will be in the winning position.
Also, by analyzing the games in real time, AI can help coaches with tactical insights and optimal recommendations during the game, and this way, change or enhance current tactics and receive better results in the game.
Fan Engagement and Experience
Agentic AI and chatbots can help fans learn better about their favorite teams or players, the rules of the games, or the results.
Built into specialized apps, these mechanisms can alert fans of the important games upcoming, inform of the results of competitions, or even provide insights which may be used in sports betting.
Recruitment
AI algorithms evaluate players across leagues and levels using analytics from the previous games. While assessing statistics, movement patterns, and compatibility with team systems, the AI algorithms can suggest the best players to strengthen the existing teams and provide recruitment recommendations to attract the best talent in the future.
Referring support
Being a referee in active gain is always a hard task that can be connected with disputable situations and unpleasant rows, especially when the stakes are high.
Implementing technology in this process can help a lot. Thanks to the visual recognition, AI can read information from cameras and understand the game patterns. This way AI systems can support referees by providing them with the basis for the real-time decision making g thanks to the systems like video review and tracking.
Also, technologies like VAR (Video Assistant Referee) rely on AI assistance for accuracy.
Summing up
Other uses of AI technology are also emerging. For example, it is possible to use AR/VR kits for player training and recommendation systems, equipped with human pose estimation technology, which can work as virtual coaches, disseminating high-level training advice to sportsmen of different leagues and even amateurs. Therefore, we may assume that we can expect even more stunning AI advancements in the near future of sports.
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