Fantasy Sports Lineup Multipliers for Dynamic Payout Thresholds
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Solution Overview
Problem
Conventional fantasy sports contest platforms lack flexibility in gameplay strategy, failing to dynamically adjust based on participant strategy or real-time game developments, leading to a homogeneous gaming experience that diminishes user engagement.
Innovation Solution
A computing infrastructure that allows participants to adjust game parameters through user-selected multipliers, using statistical algorithms and real-time data to calculate performance thresholds and payout options, incorporating machine learning for dynamic adjustments based on user selections and game conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional fantasy sports platforms use static scoring mechanisms, then the system is simple to operate, but user engagement diminishes due to homogeneous gaming experience
Solution Approach 1:
The patent implements dynamic scoring mechanisms where multipliers are assigned to squares based on real-time game conditions, player performance data, and predictive analytics. This transforms the static fantasy sports platform into a dynamic system that continuously adapts to game developments, maintaining user engagement through evolving gameplay strategies while preserving ease of operation through automated adjustments.
Solution Approach 2:
The system changes key parameters such as square multipliers, scoring weights, and contest difficulty levels based on real-time data analysis. By dynamically adjusting these parameters according to game conditions and participant performance, the platform maintains operational simplicity while significantly enhancing adaptability and user engagement through personalized gaming experiences.
2Adaptability or versatility
If fantasy sports platforms implement dynamic adjustment mechanisms, then user engagement is enhanced, but system complexity increases
Solution Approach 1:
The patent employs machine learning models and predictive analytics that automatically analyze game data, assign multipliers to squares, and adjust scoring mechanisms without human intervention. This self-service approach enables complex dynamic adjustments to be made autonomously by the system, maintaining gameplay flexibility while minimizing the operational complexity burden on users and platform administrators.
Solution Approach 2:
The system replaces manual configuration and static rule-based mechanisms with automated computational algorithms and predictive models. By substituting mechanical adjustment processes with intelligent software systems that continuously optimize gameplay parameters, the platform achieves high adaptability while keeping system complexity managed through automation rather than manual complexity.
3Adaptability or versatility
If multipliers are assigned based on real-time data and machine learning, then payout scenarios are tailored to participant strategy, but data processing requirements increase
Solution Approach 1:
The patent implements predictive analytics and machine learning models that pre-process and analyze game data before contests begin, establishing baseline projections and initial multiplier assignments. This preliminary action reduces the real-time data processing burden during active gameplay, enabling tailored payout scenarios to be generated efficiently by combining pre-computed insights with live game data rather than processing all data from scratch in real-time.
Data Source
AI summary
The disclosed system discussed herein may include systems, methods, and devices for dynamically adjusting contest parameters for a fantasy sports contest. A performance indicator (e.g., passing yards, rushing yards, points scored, assists, rebounds, or goals) associated with a fantasy sports player may be received from a participant of a fantasy sports contest. A selection of a multiplier (e.g., selected from a predefined range that includes values from 2× to 20×) associated with the performance indicator may be received from the participant of the fantasy sports contest. A performance threshold for the fantasy sports player may be determined based on the multiplier. An award may be transmitted to the participant based on the performance threshold and an outcome associated with the selection.