Fantasy Gaming System With Point-Based Wagering
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Solution Overview
Problem
Traditional wagering systems lack options for risk-free training in sports betting and do not allow for non-monetary wagering forms, limiting entertainment and social interaction among friends.
Innovation Solution
A system that enables wagering with non-monetary elements, such as points, allowing users to wager against a house or other players, with features like social networking integration, customizable wager parameters, and interfaces for managing wagers, providing a risk-free environment for training in sports betting and offering new forms of entertainment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional monetary wagering systems are used, then the system is simple and easy to operate, but it lacks risk-free training options and limits entertainment versatility
Solution Approach 1:
The system segments wagering into distinct types: monetary wagering and non-monetary point-based wagering. Each segment operates with its own rules and interfaces, allowing users to choose appropriate wagering modes for different purposes (training vs. actual betting) without conflating the complexities of both systems
Solution Approach 2:
Points serve as an intermediary currency that bridges the gap between free training and monetary wagering. Users earn points through various activities and can wager them without financial risk, providing a safe intermediate layer that prepares users for monetary betting while maintaining system simplicity through a unified point management interface
2Adaptability or versatility
If non-monetary point-based wagering is introduced, then risk-free training and entertainment options expand, but the system complexity increases
Solution Approach 1:
The gaming server implements a universal wagering platform that handles both monetary and non-monetary wagering through common infrastructure components (user management, bet placement, outcome determination, payout calculation). This multi-functional design allows the same system architecture to support diverse wagering types without requiring separate systems for each mode
Solution Approach 2:
The system uses parameter changes to differentiate wagering types rather than structural changes. By modifying parameters such as wager currency (points vs. money), risk level (zero-risk training vs. actual financial risk), and reward types, the system accommodates multiple wagering forms within a single unified structure, avoiding complexity multiplication
3Adaptability or versatility
If social networking integration is added, then user interaction and entertainment value increase, but system complexity and development difficulty increase
Solution Approach 1:
The social networking integration leverages existing social platform capabilities (user profiles, friend lists, messaging infrastructure) rather than building these features from scratch. The gaming system self-services by connecting to established social APIs, allowing users to invite friends and interact within the wagering context while the heavy lifting of social infrastructure is handled by external platforms
Data Source
AI summary
Some examples may include a poker indexing service. For example, a multi-dimensional vector of player performance and/or other data may be determined based on gaming related activity that is input or otherwise captured. Such a vector may be used in various forms to generate a metric or to facilitate wagering and/or other gaming activity. Other methods and apparatus are described.