Wagering Network Cohort Segmentation for Skill-Based Prize Distribution
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Solution Overview
Problem
Current wagering networks face challenges in allowing users to join contests or pools with peers of similar skill levels, awarding users for making unlikely wagers, and grouping users based on their wagering frequency or skill.
Innovation Solution
A method and system for a play-by-play wagering network that stores and tracks user wagers, groups users into cohorts based on their wagering history, creates contests within these cohorts, assigns point values to wagers, and awards prizes to users with the most points at the end of the contest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users are grouped into cohorts based on wagering history and skill level, then users can compete against peers of similar skill, but the system complexity increases due to tracking and managing user data
Solution Approach 1:
The system segments users into distinct cohorts based on their wagering history and skill level. This segmentation allows for targeted contests among peer groups while the system automatically manages the complexity of tracking and categorizing user data through structured databases and algorithms.
2Productivity
If point values are assigned to wagers to incentivize strategic betting, then user engagement increases, but the calculation and tracking complexity increases
Solution Approach 1:
The system implements a feedback mechanism where users receive point values for their wagers based on the likelihood of winning and strategic value. This feedback loop incentivizes strategic betting by providing immediate quantitative evaluation of wager quality, while the system automatically calculates and tracks points through programmed algorithms.
3Reliability
If contests are created within specific cohorts, then prize distribution becomes more targeted and fair, but the contest management complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing user cohorts based on wagering history and skill level before contests begin. This preliminary segmentation ensures fair and targeted prize distribution within homogeneous groups, while the automated cohort creation process manages the complexity of contest setup and user assignment.
Data Source
AI summary
The present disclosure provides a method of in-play wagering for pooled or contest prizes by points in which users are placed in various cohorts based on skill and then allowed to compete against one another in a contest for a prize that is won by the user with the total amount of points earned during a contest. This method provides grouping the users of a wagering network into cohorts and allowing the users to join a contest based on the cohort to compete for a prize that the user with the most points wins during the length of the contest.