Interactive Sports Wagering System Using Real-Time Data Analysis
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Solution Overview
Problem
Users face difficulties in placing wagers on specific aspects of a game outside of its outcome or score, and there is a lack of technology to determine wins and losses in real-time for such wagers.
Innovation Solution
A computer-implemented interactive game that utilizes analytics and real-time data analysis to allow users to predict and wager on upcoming plays in sports events, using an algorithm to compare situational data with historical data to provide odds on the likelihood of certain plays, with results determining wins or losses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users want to place wagers on specific aspects of a game outside of outcome or score, then the versatility of wagering options is improved, but the complexity of the wagering system increases
Solution Approach 1:
The patent segments the wagering system into multiple independent components: fantasy sports wagering module, prop bet wagering module, real-time determination module, and historical data analysis module. Each module handles specific aspects of wagering independently, allowing users to place bets on specific game aspects without overwhelming system complexity.
Solution Approach 2:
The system introduces an intermediary algorithm that compares situational data in current games to stored historical data. This intermediary layer processes complex data relationships and presents simplified wagering options to users, mediating between the complexity of game analytics and user-friendly wagering interfaces.
2Speed
If real-time data analysis is implemented to determine wins and losses, then the speed of wager resolution is improved, but the computational requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing historical game data in structured formats before real-time wagering occurs. Historical situational data is organized and indexed in advance, enabling rapid comparison with current game data during live wagering without excessive real-time computational burden.
Solution Approach 2:
The wagering system dynamically adjusts its data processing intensity based on game events. During critical moments or high-stakes wagers, the system intensifies real-time analysis, while during transitional periods, it reduces computational load. This dynamic approach optimizes the balance between resolution speed and resource consumption.
Data Source
AI summary
A computer implemented game involving analytics and real time data analysis. The game can allow players to predict and wager on the types of plays that have yet to occur, for example, in a football game. The game may utilize an algorithm that compares situational data in a game to stored data regarding similar situations in past games. The game can then provide a likelihood that a certain type of play can be performed, which may be interpreted as odds of a certain type of play. Users can then utilize this information to predict and wager on the upcoming play. Depending on the results of the play, users may win or lose their wager.