How does the template handle data filtering?

Within the find_dropped_bets branch, the template specifies a filter_data_molly_data step. This includes logic to remove games where 'is_live' is true and to exclude any events already present in the processed_games list to prevent duplicate analysis.

Can I customize the database fields in this MD-40 cheat sheet?

Yes, the DB branch is fully editable in Xmind. You can add or modify fields like team_home, team_away, or odds_after to match your specific betting database requirements or API response structures.

What notification methods are included in the workflow?

The template includes a send_dropped_bets node which suggests two primary output actions: send_to_skype for real-time alerts and save_to_db for long-term data logging and historical tracking.

MD-40

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Use cases

Task breakdown

About

The MD-40 mind map template provides a technical blueprint for managing and analyzing dropped bets within a betting database, encompassing 40 distinct nodes of logic. This MD-40 cheat sheet serves as a functional workflow for developers and data analysts to track significant odds movements by integrating real-time data with historical records. The template covers the entire lifecycle of data handling, from the find_dropped_bets function to final storage in the bet_connect database. It specifically details the logic for data extraction via the molly_data endpoint, filtering live games, and calculating the variance between old_odd and current_odd values. By mapping out the fields such as master_id, market, and odds_before, this MD-40 template ensures a structured approach to identifying market inefficiencies and automating alerts through Skype or database logging.

bettingdata analysisdatabase management

Terms and Conditions

When to use this template

Backend Developers and Data Engineers

Architecting a backend service to monitor betting market fluctuations and odds drops.

Database Administrators and Data Analysts

Defining the database schema and data cleaning requirements for a sports analytics project.

System Architects and QA Engineers

Reviewing the logic for a betting bot's data ingestion and filtering pipeline.

How to use this template

Step 1

Import the MD-40 file

Open the .xmind file in Xmind desktop or the web app to view the full logic tree for the betting database workflow.

Step 2

Configure your API endpoints

Locate the get_molly_data node and replace the placeholder URL with your actual betting data provider's endpoint.

Step 3

Define custom drop thresholds

Navigate to the get_dropped_bets branch and edit the 'if old_odd - current_odd' node to set your specific percentage or value threshold.

Frequently asked questions

The MD-40 template is designed to visualize the algorithmic process of identifying 'dropped bets'—instances where betting odds decrease significantly. It maps out data retrieval from APIs, filtering logic, and the database structure required to store these events for further analysis.

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