Machine Learning Event Outcome Validation With Alternative Data

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Solution Overview

Problem

Conventional wagering systems struggle with predicting and confirming outcomes of non-conventional and lesser-known events due to limited data sources, leading to inefficient markets, manual processes, and regulatory compliance issues, which disadvantage users and operators.

Innovation Solution

A system utilizing unique data sources and machine learning to automatically predict and validate event outcomes, adjusting ratings based on historical accuracy and leveraging user contributions for enhanced market efficiency and compliance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual processes are used to determine and set odds on events, then human judgment can be applied, but it results in imbalanced markets, overhead costs, and significant financial losses

Engineering Contradiction:

Improvemanual odds settingVSAvoidmarket efficiency

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The patent replaces manual mechanical processes of odds setting with an automated computerized system that uses machine learning algorithms and data processing to determine odds automatically, eliminating human intervention while improving market efficiency and reducing costs

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by allowing the market to automatically adjust odds based on real-time data processing and machine learning models, where the system serves itself without requiring human operators to manually set or adjust betting lines

Inventive Principle:

Principle #25Self-service

2Quantity of substance

If conventional data sources are used for non-conventional and lesser-known events, then data availability is limited, but using alternative sources reduces reliability and increases cost

Engineering Contradiction:

Improvedata availabilityVSAvoidoutcome prediction confidence

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The patent combines multiple alternative data sources including social media data, betting patterns, historical performance, and contextual information into a unified analytical framework, merging diverse data types to compensate for the unavailability of traditional data sources for non-conventional events

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system changes the parameters and variables used for prediction by incorporating non-traditional metrics such as social media sentiment, betting volume patterns, and contextual event data, transforming the approach from conventional data-dependent methods to multi-parameter alternative data analysis

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If manual validation processes are used for event outcomes, then verification can be performed, but it results in delayed market closure and increased operational costs

Engineering Contradiction:

Improveoutcome validation accuracyVSAvoidmarket closure timing

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual validation processes with automated computerized verification systems that use machine learning algorithms to validate event outcomes in real-time, substituting human review with algorithmic validation that is both accurate and instantaneous

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary validation actions by continuously monitoring and pre-verifying event data before formal market closure, preparing validation results in advance so that outcome confirmation can occur immediately when events conclude, eliminating post-event validation delays

Inventive Principle:

Principle #10Preliminary action

4Productivity

If automated machine learning systems are implemented, then market efficiency improves and costs decrease, but system complexity and data processing requirements increase

Engineering Contradiction:

Improvemarket efficiencyVSAvoidsystem architecture

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent creates a universal platform that handles multiple functions including data collection, machine learning processing, odds calculation, betting management, and outcome validation within a single integrated system, allowing the same infrastructure to serve various event types and market conditions

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12380345B2Systems and methods for automatic event outcome prediction, confirmation, and validation using machine learning

Publication Date: 2025.08.05 SOFABET CO

AI summary

Systems and methods for event outcome validation are provided. The system receives a user input indicative of an event and at least one anticipated outcome of the event to be wagered on by the user. The system receives confirmation data associated with an outcome of the event from at least one confirmation data source confirming the outcome of the event and classifies the confirmation data utilizing at least one machine learning algorithm. The system determines a threshold of confirmation data sources to validate the outcome of the event and utilizes the at least one machine learning algorithm to determine a reduced threshold of confirmation data sources to validate the outcome of the event based on at least one of the classified confirmation data and a confirmation rating of the at least one confirmation data source. The system validates the outcome of the event based on the reduced threshold.