Gaming System Skill Outcome RTP Guarantee
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Solution Overview
Problem
Traditional gaming systems fail to provide a skill-dependent outcome while maintaining a minimum return to player percentage (RTP), which can lead to unskilled players not reaching the predetermined RTP, making the game outcome independent of player skill.
Innovation Solution
A gaming system that includes a game controller generating both skill and artificial outcomes, with a game outcome controller determining the final outcome based on a criterion that can favor either the skill or artificial outcome, ensuring the RTP is met by weighting the artificial outcome randomly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the game outcome is made dependent on player skill, then the game becomes more engaging for skilled players, but unskilled players may not reach the predetermined RTP
Solution Approach 1:
The game outcome is segmented into two independent components: a skill-dependent component and a random component. The skill-dependent component provides engagement for skilled players, while the random component ensures the predetermined RTP is met. These components are combined through a game outcome controller that selectively applies either the skill outcome or the random outcome based on game state, resolving the contradiction between skill dependence and RTP guarantee.
Solution Approach 2:
A game outcome controller acts as an intermediary between the skill-dependent game mechanics and the RTP guarantee requirement. This controller receives both the skill outcome and the random outcome, compares them against the predetermined RTP criterion, and selectively determines the final game outcome. This intermediary mechanism allows the system to maintain skill dependence while ensuring the RTP threshold is always met.
2Reliability
If the overall outcome is made independent of player skill to ensure minimum RTP, then unskilled players meet the RTP requirement, but the game becomes less engaging for skilled players
Solution Approach 1:
The system dynamically adjusts the weight and application of skill-dependent versus random components based on the game state and outcome comparisons. The game outcome controller dynamically determines whether to apply the skill outcome or the random outcome by comparing the skill outcome against the predetermined RTP criterion. This dynamic adjustment allows the system to maintain RTP guarantees while preserving skill dependence engagement when appropriate.
3Ease of operation
If a feature game component is designed to reward skilled play, then skilled players can play particularly well, but the minimum RTP cannot be guaranteed for unskilled players
Solution Approach 1:
The feature game component is segmented into a skill-dependent evaluation layer and an RTP guarantee layer. The skill-dependent evaluation allows skilled players to achieve superior performance, while the RTP guarantee layer independently ensures that the predetermined minimum RTP is met through the random component. The game outcome controller reconciles these two layers by selectively applying outcomes based on the RTP criterion.
Solution Approach 2:
The system changes the parameter of outcome determination from purely skill-based to a hybrid model where the application of skill-based outcomes is modulated by the RTP criterion. When the skill outcome would result in RTP below the predetermined threshold, the system switches to applying the random outcome instead. This parameter change allows skill-based performance rewards while maintaining RTP guarantees.
Data Source
AI summary
The present disclosure provides a gaming system including a game controller arranged to generate a skill outcome in response to an input from a player and that is at least partially dependent on a skill of the player. The game controller is arranged to generate an artificial outcome that is controlled by the game controller. The gaming system also includes a game outcome controller arranged to generate a game outcome based on a criterion such that, if the criterion is met, the game outcome is at least partially determined by one of the skill outcome and the artificial outcome and, if the criterion is not met, the game outcome is at least partially determined by the other one of the skill outcome and the artificial outcome. A reward allocator is arranged to allocate a reward that is at least partially dependent on the game outcome.