Fantasy Contest Payout Modifiers for Dynamic Odds Pricing
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Solution Overview
Problem
Existing fantasy sports platforms lack strategic complexity and dynamic adjustment of payout scenarios, failing to enhance user engagement and experience.
Innovation Solution
A computing infrastructure that dynamically adjusts pricing and payouts through strategic modifiers, utilizing a pricing algorithm that incorporates player statistics, market-level data, and real-time performance metrics, with increased and decreased difficulty modifiers to influence the probability of achieving specified outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional fixed payout models are used in fantasy sports contests, then the system is simple to operate, but user engagement and strategic complexity are limited
Solution Approach 1:
The patent implements dynamic pricing algorithms that automatically adjust payout scenarios based on real-time contest conditions, user selections, and difficulty modifiers. The system transitions from static fixed payouts to dynamic variable payouts that adapt to changing contest parameters, thereby enhancing adaptability while managing complexity through automated computation.
Solution Approach 2:
The system changes key parameters including payout multipliers, difficulty modifiers, and probability factors based on real-time data. By dynamically adjusting these parameters rather than maintaining fixed values, the system achieves versatile payout scenarios that respond to contest conditions without requiring complex manual intervention.
2Adaptability or versatility
If dynamic pricing algorithms with strategic modifiers are implemented, then user engagement and strategic gameplay are enhanced, but system complexity increases
Solution Approach 1:
The complex pricing algorithm is segmented into distinct functional components: base payout calculation, difficulty modifier application, probability adjustment, and real-time data integration. Each segment handles a specific aspect of the calculation, making the overall system more manageable and maintainable while providing comprehensive strategic gameplay options.
Solution Approach 2:
The system introduces intermediary computational layers that mediate between user selections and final payouts. These intermediaries include difficulty modifiers and probability adjustments that translate complex algorithmic calculations into user-friendly payout scenarios, thereby enhancing strategic depth without directly exposing system complexity to users.
3Measurement precision
If real-time data processing and analysis are performed, then payout accuracy and fairness are improved, but computational resources and time are consumed
Solution Approach 1:
The system performs preliminary data processing by pre-calculating base probabilities, player statistics, and contest parameters before contests begin. This preliminary action reduces the computational burden during real-time operation, allowing accurate payout calculations to be performed quickly without excessive time consumption during critical moments.
Solution Approach 2:
The system maintains continuous data processing streams that constantly update player statistics, contest performance, and probability models. By maintaining continuous rather than periodic processing, the system achieves real-time accuracy without repeated full recalculations, thereby improving measurement precision while optimizing time utilization through efficient continuous computation.
Data Source
AI summary
Systems, methods, and devices for dynamically adjusting pricing and associated payouts of fantasy sports contests may utilize one or more computing devices equipped with processors to apply strategic modifiers. Participants may select fantasy sports players and predicted outcomes. A base probability may be determined for the selected players and predicted outcomes. The participants may further apply modifiers (e.g., ranging from a single selection to a combination) to their selection and the base probability may be adjusted to reflect a modified outcome likelihood. Further sophistication may be introduced through consideration of historical performance data and player conditions. Participants may be engaged through a user interface that displays the impact of their modifier choices on potential awards. Entry fees may be calculated and adjusted based on the modified probability of outcomes. Awards may be determined in relation to the modified probability and may be transmitted to participants based on the actual outcomes.