Dynamic Probability Management for Lottery Games
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Solution Overview
Problem
Conventional online probability games face challenges in balancing payout fluctuations with winning probabilities, leading to player disinterest due to low winning frequencies and prize amounts, while instant win games offer higher winning probabilities but lack attractive larger prizes.
Innovation Solution
A unique probability management system and payout structure for online lottery games that combines elements of instant win games, allowing players to select or randomly generate numbers, with a dynamic subset generation mechanism to achieve a desired overall winning probability and payout schedule, incorporating multiple prize structures and a raffle component.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the quantity of numbers a player must match is reduced to increase winning probability, then the probability of winning is improved, but the prize amount is reduced
Solution Approach 1:
The patent segments the prize structure into multiple tiers with different winning conditions. Instead of a single prize amount tied to matching all numbers, it creates multiple prize levels (e.g., first prize for matching all numbers, second prize for matching fewer numbers), allowing players to win smaller prizes more frequently while maintaining the allure of larger prizes through the tiered structure.
Solution Approach 2:
The patent introduces dynamic probability management where the number of randomly generated objects to be matched is not fixed but can vary based on game state, player selections, or random determination. This dynamic adjustment allows the system to optimize winning probabilities in real-time while maintaining controlled payout expectations through the varying difficulty levels of different prize tiers.
2Quantity of substance
If a large prize is offered, then the prize amount is improved, but the winning frequency is reduced
Solution Approach 1:
The patent divides the prize pool into multiple segments corresponding to different winning tiers. By requiring players to match different numbers of objects for different prizes, it creates a distribution where smaller prizes are awarded more frequently while large prizes remain available but less frequent, thus maintaining both high winning frequency and attractive prize amounts.
Solution Approach 2:
The patent employs parameter changes in the probability management system to adjust the difficulty and reward parameters dynamically. By varying the number of objects to be matched and the associated prize amounts based on game configuration, player performance, or random factors, the system optimizes the balance between winning frequency and prize attractiveness throughout the game lifecycle.
3Quantity of substance
If the payout for a winning play is increased, then the prize amount is improved, but the probability of winning must be reduced to balance the game
Solution Approach 1:
The patent segments the payout structure into multiple levels with corresponding probability weights. By establishing different prize amounts for different winning conditions (matching 1, 2, 3, or all numbers), it creates a balanced probability distribution where higher payouts are associated with lower probabilities while ensuring the overall expected value remains controlled and sustainable for the gaming administrator.
Data Source
AI summary
A lottery game system and methodology involves, for each play of the game, a player choosing a number of player indicia from a field of the indicia. A subset of the indicia is randomly generated, and the player's indicia is compared to the subset to determine a winning game play. The number of indicia in the subsets is varied between different game plays such that a blend of the winning probabilities for each subset for all of the game plays produces a desired overall winning probability.


