Fantasy Competition System with Real-Time Valuation and Trading
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Solution Overview
Problem
Current fantasy sports and e-Sports competitions favor statistic grinders over casual players due to advanced statistical models, creating a skill gap where casual players are at a disadvantage without extensive research and analysis.
Innovation Solution
A transparent exchange-style fantasy trading and wagering system that uses real-time value and performance ratings of real-world athletes, allowing participants to buy, sell, and trade players during events, with a salary cap and taxi squad mechanism to level the playing field, and provides real-time scoring based on athlete performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced statistical models and lineup optimizers are used, then the accuracy of player selection is improved, but the complexity of the game increases and casual players are disadvantaged
Solution Approach 1:
The patent introduces a fantasy sports platform as an intermediary that provides standardized tools and interfaces between players and the complex statistical data. The platform mediates the interaction by offering pre-built lineup optimizers, salary cap management, and automated roster construction, allowing casual players to access advanced analytics without needing to understand the underlying complexity
Solution Approach 2:
The patent segments the fantasy sports experience into distinct modular components: player drafting, lineup optimization, salary cap management, and performance tracking. Each module can be independently configured and optimized, allowing players to engage at their preferred level of complexity while maintaining access to advanced statistical models through simplified interfaces
2Manufacturing precision
If extensive statistical analysis is required, then the quality of team management is improved, but the time required for gameplay increases
Solution Approach 1:
The patent implements preliminary action by pre-calculating and storing player statistics, projections, and compatibility metrics before the fantasy season begins. Lineup optimizers are pre-configured with scoring rules and salary constraints, allowing players to quickly generate optimal lineups without performing extensive real-time analysis during the gameplay period
Solution Approach 2:
The system provides continuous feedback mechanisms that automatically update player valuations and lineup recommendations based on real-time performance data. This feedback loop allows players to make informed decisions with minimal manual analysis, as the system continuously processes statistical information and presents actionable insights, maintaining high team management quality while reducing player time investment
3Reliability
If optimal lineups are required for all participants, then the competitiveness of the game is improved, but the accessibility for casual players decreases
Solution Approach 1:
The patent employs copying by providing template-based lineup constructions and proven roster configurations that players can replicate. The system offers pre-optimized lineup templates based on historical performance and statistical models, allowing casual players to copy successful strategies without needing to develop their own analytical approaches, thereby maintaining game competitiveness while improving accessibility
Solution Approach 2:
The system allows dynamic adjustment of complexity parameters to match player skill levels. Players can modify parameters such as the depth of statistical analysis, the level of automated optimization, and the degree of manual vs. automated roster management. This parameter flexibility enables the same platform to serve both casual players seeking simplicity and hardcore enthusiasts requiring detailed control, maintaining competitiveness across all user levels
Data Source
AI summary
A method and system for providing a fantasy competition, in which the method includes determining a set of real-world players eligible for scoring in a fantasy competition; assigning a value for each of the real-world players; determining a salary cap for the fantasy competition; randomly assigning real-world players to a team roster; performing a draft in which the participants select real-world players who were not randomly assigned to a team roster; randomly assigning one or more real-world players to a taxi squad; receiving an indication of the real-world players assigned to the active roster; determining whether the combined value of the real-world players assigned to the active roster exceeds the salary cap; and performing a fantasy competition in which a score for each team roster associated with a participant is based on the performance, in one or more real-world events, of the real-world players assigned to the active roster.