Predictive Gaming Synchronization for Fair Wagering
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Solution Overview
Problem
Current sports forecasting and predictive gaming systems fail to provide synchronous live event broadcasting to multiple users within a human reaction time margin, leading to potential biases and unfair opportunities for prediction submissions.
Innovation Solution
A method and system for synchronously transmitting an electronic representation of a live event to multiple users within a margin of error of human reaction time, allowing users to submit predictions or propositions in real-time, and determining winners based on the actual or simulated outcomes of the event.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional sports forecasting systems are used, then users can submit predictions, but the system fails to provide synchronous live event broadcasting within human reaction time margin, creating biases and unfair opportunities
Solution Approach 1:
The system pre-establishes synchronous transmission protocols and time-sync mechanisms before the live event begins, ensuring that all users receive the live event feed at the exact same moment without any prior knowledge or advantage for any single user. This preliminary setup guarantees fair prediction opportunities from the start.
Solution Approach 2:
The system continuously monitors transmission timing and user prediction submissions in real-time, using feedback loops to detect and correct any synchronization delays or unfair advantages. This ensures that the prediction window remains fair and synchronous throughout the entire live event.
2Reliability
If synchronous transmission within human reaction time is implemented, then prediction fairness is improved, but system complexity and transmission requirements increase
Solution Approach 1:
The system uses a universal transmission platform that handles both the live event broadcasting and the prediction submission coordination through a single integrated architecture. This multi-functional approach reduces overall system complexity compared to having separate systems for event transmission and prediction management.
Solution Approach 2:
The system introduces a centralized coordination server that acts as an intermediary between the live event feed and multiple users, managing the synchronization and prediction submission process. This intermediary layer simplifies the complex task of maintaining synchronous transmission across multiple users by centralizing the control logic.
3Ease of operation
If real-time prediction submissions are allowed, then user engagement is enhanced, but the system must maintain precise timing control to prevent biases
Solution Approach 1:
The system dynamically adjusts the prediction submission window and timing controls based on real-time event progression and user interactions. This dynamic approach maintains high user engagement by allowing flexible prediction opportunities while automatically adapting timing controls to prevent biases as the event unfolds.
Solution Approach 2:
The system replaces complex mechanical timing control mechanisms with software-based synchronization protocols and time-sync mechanisms that operate at the network level. This substitution reduces the physical and system complexity of timing control while maintaining precise synchronization for fair prediction opportunities.
Data Source
AI summary
The present disclosure describes systems and methods for predictive gaming regarding on a live event, such as a live electronic event or an esports event. The systems and methods provide means for users to simultaneously watch a live event and wager on an outcome of the live event.