Quantum Sports Betting Engine for Real-Time Odds Calculation
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Solution Overview
Problem
Current sports betting algorithms struggle to accurately calculate real-time odds for play-by-play events due to the vast amount of data involved, requiring enhanced computing capabilities beyond traditional machine learning models, and often fail to reflect the true probability of outcomes, leading to inefficiencies in enticing bets and ensuring house profits.
Innovation Solution
A quantum sports betting algorithm system that combines classical, supercomputer, and quantum computing capabilities to process live event data, utilize multiple odds-making formulas, and apply machine learning to determine probabilities, correlating historical and real-time data for precise odds calculation and value identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional machine learning models are used to calculate odds, then the system is simpler to implement, but the computing speed and accuracy are insufficient for real-time play-by-play events
Solution Approach 1:
The system divides the computing task into multiple segments by using different types of computers (classical, supercomputer, quantum) for different aspects of odds calculation. Each computer type handles specific computational requirements, allowing the system to process vast amounts of data in real-time while maintaining manageable complexity through distributed computation.
Solution Approach 2:
The patent implements a nested architecture where quantum computing capabilities are integrated within a broader system that includes supercomputer and classical computing components. The quantum computer processes specific quantum mechanical aspects of probability calculation, while outer layers handle data management and result integration, creating a multi-layered computational structure.
2Measurement precision
If vast amounts of historical data are analyzed to improve odds accuracy, then the precision of odds calculations improves, but the time required to process the data increases
Solution Approach 1:
The system performs preliminary processing of historical data by pre-calculating probabilities and patterns from vast amounts of historical sporting event data. This pre-computed information is stored and readily available for rapid retrieval during real-time events, allowing the system to maintain high odds accuracy without incurring excessive processing delays during live betting.
Solution Approach 2:
The patent creates simplified copies or models of complex historical data relationships through machine learning algorithms. These models capture essential patterns and probabilities from extensive historical records, allowing the system to make accurate odds calculations based on condensed representations rather than processing entire historical datasets in real-time.
3Adaptability or versatility
If multiple odds-making formulas are used to evaluate all play-by-play possibilities, then the completeness of odds coverage improves, but the computational complexity increases significantly
Solution Approach 1:
The system employs multiple odds-making formulas, each designed for specific types of plays or sporting scenarios. These formulas serve universal purposes by covering various play-by-play possibilities across different sports and event types. The quantum computer coordinates these diverse formulas to provide comprehensive odds coverage while managing computational complexity through optimized selection and application of appropriate formulas for each specific betting scenario.
Data Source
AI summary
An engine that both calculates “basic odds” (calculated by using historical database mining) and at least one more odds making formula to calculate odds on at least one outcome of a single play in a live event, crossing at least two different odds making formulas to create crossed odds. The embodiments can utilize AI to correlate the crossed odds with the final odds on similar historical plays in which odds were calculated and use machine learning after the play's outcome is known to correlate odds generated by each odds making formula with most profitable odds calculated on previous similar plays. This system may use a hybrid of a basic computer system with AI capability computers and connection to quantum capability computers to assist with calculating odds where the basic computer can determine when and how much to invoke the AI capability, the Quantum capability, and the combined AI capability.