Blockchain Prediction Market System for Transparent Sports Data
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Solution Overview
Problem
Existing open market systems for prediction information in public sports lack transparency and neutrality, are not versatile enough to handle common sports like soccer and baseball, and struggle with accuracy in real-time prediction analysis, especially for minor sports with few predictions.
Innovation Solution
An open market system incorporating a server device with information collection, entry acceptance, information presentation, and distribution execution circuits, utilizing blockchain technology for token management and machine learning for optimum prediction analysis, ensuring transparency and real-time accuracy across various sports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If performance information is calculated and provided by a server device, then trustworthiness of prediction information is improved, but transparency and neutrality are worsened
Solution Approach 1:
The patent introduces a blockchain-based intermediary system that mediates between prediction sellers and purchasers. The blockchain acts as a neutral third party that verifies and records performance information without allowing any single entity (including the server manager) to tamper with the data. This resolves the contradiction by maintaining trustworthiness through cryptographic verification while ensuring transparency through distributed ledger technology that all participants can verify.
Solution Approach 2:
The patent replaces the traditional server-based centralized system with a blockchain-based distributed system. Instead of relying on a single server's calculation and provision of performance data, the system uses cryptographic algorithms and distributed consensus mechanisms to verify and record prediction performance. This substitution maintains reliability through cryptographic proof while achieving transparency through distributed verification by all network participants.
2Device complexity
If the system is limited to public sports predictions, then calculation complexity is reduced, but versatility is worsened
Solution Approach 1:
The patent designs a universal prediction market system that can handle multiple types of predictions across different sports. The blockchain-based architecture and standardized smart contracts allow the same system to process predictions for public sports, common sports like soccer and baseball, and other events. The system uses generic prediction structures that can accommodate various sport types without requiring separate specialized systems, thus achieving versatility while maintaining manageable complexity through standardization.
3Device complexity
If conventional analysis methods are used for sports with few predictions, then system complexity is reduced, but measurement precision is worsened
Solution Approach 1:
The patent implements a feedback mechanism where prediction performance is continuously tracked and verified through blockchain technology. The system collects actual outcomes of predictions, compares them with predicted outcomes, and uses this feedback to verify and update prediction seller performance records on the blockchain. This feedback loop ensures measurement precision by continuously validating predictions against actual results, while the automated nature of the feedback process keeps system complexity manageable through algorithmic processing.
4Device complexity
If conventional analysis methods are used for enormous numbers of predictions, then system complexity is reduced, but productivity is worsened
Solution Approach 1:
The patent replaces conventional centralized analysis methods with a blockchain-based distributed system that can process enormous numbers of predictions in real-time. The distributed nature of the blockchain network allows parallel processing of prediction data across multiple nodes, significantly increasing productivity. Smart contracts automatically execute prediction verification and performance calculation, eliminating the need for complex centralized analysis and enabling real-time derivation of optimal predictions even with large volumes of data.
Data Source
AI summary
An open market system includes: an information collection circuit that collects prediction information indicating details of a game predicted by prediction sellers; an entry acceptance circuit that accepts entry of tokens possessed by prediction purchasers; an information presentation circuit that presents, to the prediction purchasers who have entered the tokens, the prediction information collected by the information collection circuit and optimum prediction information based on the prediction information; and a distribution execution circuit that distributes, to one or more of the prediction sellers, the tokens entered by one or more of the prediction purchasers for the optimum prediction information.