The evolution of betting skills is inextricably linked to its theoretical foundation, and a series of systematic research results have been developed so far. In the early days, people only relied on experience and intuition to make betting decisions, but with the intervention of mathematics, statistics and behavioral economics, the theoretical framework of betting skills has gradually improved. Specifically, betting theory mainly includes the following aspects:

  • probability (math.)

    : Understanding the likelihood of events occurring and providing mathematical support for betting decisions.

  • expected value

    : Calculate gains and losses over a long period of time to provide direction for investment strategies.

  • Psychological factors

    : A study of players' behavioral patterns and decision-making processes in stressful and risky environments.

With the advancement of information technology, the application of betting techniques has entered a new phase. In recent years, the application of data analysis technology and big data has enabled bettors to obtain more comprehensive data support to optimize their betting strategies. This trend has led to the further development of betting skills, which is mainly reflected in:

  • data mining

    : Analyze historical data to discover underlying patterns and motifs.

  • simulation experiment

    : Use computers to simulate multiple scenarios to inform decision-making.

  • Visualization tools

    : Improve the efficiency of decision-making by presenting complex data in an intuitive way through charts and other forms.