dota2-behavior-score-tracker

A local Python script to track, analyze, and expose biases in the Dota 2 Behavior Score and report system using Steam profile data

📊 Dota 2 Behavior Score Tracker & Recovery Calculator

Have you ever felt like the Dota 2 automated behavior system is keeping you trapped? This lightweight Python tool helps you track your hidden behavior score metrics, look at your historical summary blocks, and calculate exactly what it takes to break out of the shadow pool restrictions.

It safely reads your live score from your local game files and analyzes your copied Steam account data completely offline.

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✨ Features

• Live Score Syncing: Reads your exact behavior score straight from your local Dota 2 configuration folder.
• System Metrics Breakdown: Tracks total commends, raw reports, and unique reporting parties across your entire log.
• Account Health Ratings: Grades your profile standing (from Perfect Standing down to Critical Penalty Loop) based on your historical Low Priority rate.
• Recovery Investment Calculator: If your score is below 3,000, it calculates exactly how many clean Turbo vs. Standard matches (and real-world hours) you must play to recover.
• Conviction Logging: Lets you track successful Overwatch convictions to see how they affect your baseline standing.

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🛠️ Requirements

You only need Python installed on your machine to use this script.

1. Download and install Python from the official website (make sure to check the box that says "Add Python to PATH" during installation).
2. No extra libraries or external packages are needed for this version.

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🚀 Setup & Usage Guide

Step 1: Check Folder Paths

Open the script in a text editor. Look at the top configuration area and check your Dota 2 folder directory:

DOTA_CFG_PATH = r"E:\SteamLibrary\steamapps\common\dota 2 beta\game\dota\cfg"

If your Steam or Dota 2 installation is on a different drive (like C:\ or D:\), change this string path to point to your correct folder.

Step 2: Running the Script

Run the script by double-clicking it or opening a command prompt/terminal inside your project folder and typing:

python dota_zero_recovery.py

Step 3: Importing Your Steam Data

1. Open your browser and log into your Steam Profile Incoming Reports Page.
2. Highlight and Copy (Ctrl+C) the text rows directly from the table grid.
3. In the script menu, type 1 and hit Enter.
4. Open the newly generated paste_data.txt file in your folder, paste your data rows inside, save, and exit the text file.
5. Press ENTER back in the script window to process the data!

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📈 Understanding Your Dashboard

Select Option 2 in the tool menu to look at your comprehensive analytics screen. Here are the key data pieces to help you analyze how the automated system treats you:

• Total Raw Reports vs Parties: Shows the total number of reports you received alongside how many separate groups (parties) those reports came from. This helps you see if multiple people in the same party are grouping up to report you in a single match.
• Low Priority Rate: Tracks the percentage of summary blocks where you triggered severe automated report thresholds.
• Time Investment Estimates: Gives you an estimate of how many days it will take to escape your restriction blocks based on playing 4, 6, or 8 hours a day.

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🔒 Privacy & Safety

This script does not ask for your Steam username, passwords, or API keys. All information is processed entirely on your own computer and saved locally to a file named dota_zero_recovery.json. Your data remains completely yours.