Probability-Based Number Selector (PowerBall)

This Angular 17 app is designed to predict and select numbers based on historical data. It incorporates advanced probability-based logic and supports features like recency thresholds, weighted random selection, and ADA compliance.

Author: Jesse Reese
Website: https://jessereese.com/
LinkedIn: https://www.linkedin.com/in/jcreese/
Medium: https://medium.com/@Jesse_Reese
Github: https://github.com/messified

Features

• Historical Data Analysis: Uses historical data to predict numbers based on patterns.
• Recency Threshold: Focuses on recent data to improve prediction accuracy.
• Weighted Random Selection: Prioritizes numbers based on their frequency and recency.
• ADA Compliance: Ensures accessibility for all users.
• Customizable Inputs: Allows users to define recency thresholds and other parameters.

Key Components

buildWithTheFirst

Generates a complete number set starting with a user-selected first number. It predicts subsequent numbers based on historical data.

Example Logic:

1. Uses the first number as a starting point.
2. Predicts the next numbers in sequence using weighted probability logic.
3. Incorporates recency thresholds to prioritize recent trends.

pickAdvancedProbabilityNumberWithRecency

An advanced function that selects the most probable number from a set based on:

• Frequency in historical data.
• Recency bias.
• Customizable recency threshold.

Parameters:

• bestGuessSet - Array of possible numbers.
• recencyThreshold - Number of recent rows to consider from historical data.

removeDuplicateStrings

Removes duplicate strings from an array to ensure unique values.

Example:

Installation

1. Clone the repository:

   git clone https://github.com/messified/play-generator.git

2. Navigate to the project directory:

   cd play-generator

3. Install dependencies:

   npm install

4. Run the app:

   ng serve

Usage

1. Access the app in your browser at http://localhost:4200.
2. Input a starting number and customize parameters like recency thresholds.
3. View the predicted number set and its probabilities.

Customization

• Modify the historicalData array in the service to include your data.
• Adjust the recency threshold in pickAdvancedProbabilityNumberWithRecency as needed.

Future Enhancements

• Add a user-friendly interface for adjusting recency thresholds.
• Integrate machine learning models for advanced pattern recognition.
• Include time-based filtering for historical data.

License

This project is licensed under the MIT License.