Cross-Network Odds Adjustment via Intermediary Data Modules
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Solution Overview
Problem
Current wagering platforms do not incorporate data from other platforms, nor do they adjust odds based on the number of users currently using the application, leading to a need to synchronize and adjust odds between different wagering networks.
Innovation Solution
A method and system for calculating and storing odds data on a first wagering network and adjusting odds on a second network, involving an odds information module to extract and send data, an odds collection module to receive and compare data, and an odds adjustment module to alter odds based on predetermined thresholds stored in an adjustment database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wagering platforms operate independently without incorporating data from other platforms, then each platform maintains operational simplicity and data independence, but the system lacks comprehensive market awareness and cannot adjust odds based on overall user demand across networks
Solution Approach 1:
The patent introduces an intermediary system consisting of odds information modules, odds collection modules, and odds adjustment modules that act as mediators between wagering networks. These modules collect odds data from multiple networks, compare them against predetermined thresholds, and trigger adjustments on the second network when thresholds are exceeded, enabling cross-network adaptation without direct complex integration between all platforms
Solution Approach 2:
The system implements feedback mechanisms where odds data from the first wagering network is collected and compared against thresholds in the odds adjustment database. When thresholds are exceeded, the system feedbacks by adjusting odds on the second network accordingly. This closed-loop feedback enables dynamic adaptation to market conditions while maintaining manageable system architecture through rule-based decision making
2Adaptability or versatility
If wagering platforms do not adjust odds based on user numbers, then operational procedures remain simple and predictable, but the platform cannot target users effectively or respond to real-time demand
Solution Approach 1:
The system changes the parameter of odds based on user activity thresholds. The odds adjustment database contains predetermined thresholds that trigger automated odds changes when user numbers or wagering activity exceed specified values. This parameter-based approach enables effective user targeting and real-time demand response while maintaining automation through rule-based threshold comparison rather than complex algorithmic decision making
3Measurement precision
If real-time odds adjustment is implemented based on cross-network data, then betting accuracy and responsiveness improve, but data collection, processing, and system coordination requirements increase
Solution Approach 1:
The patent extracts only the essential odds data needed for comparison from the first wagering network using odds information modules. Rather than processing all available data, the system selectively extracts and transmits only the odds information required for threshold comparison and adjustment decisions. This extraction approach improves odds accuracy through targeted data selection while reducing data processing complexity by filtering out unnecessary information
Solution Approach 2:
The system performs preliminary actions by pre-configuring thresholds in the odds adjustment database before live operation. Predetermined thresholds are established in advance, allowing the system to prepare comparison criteria beforehand. This preliminary setup enables real-time odds accuracy through rapid threshold comparison during live events while reducing processing complexity by avoiding the need for real-time complex analysis and decision making
Data Source
AI summary
The present disclosure provides a system for using the odds data from a first wagering network to calculate and adjust wager odds for a second wagering network by receiving the odds data from the first wagering network, such as how many wagers placed, how many users on the wagering market, how much money was wagered and adjusting the odds of an upcoming wager market on a second wagering network depending on the odds data received from the first wagering network.