Estimate the share of bot accounts in Counter-Strike 2 using public match and account data.
- Collect a large sample of CS2 player accounts.
- Engineer behavioral and account-level features.
- Use rules + anomaly detection to estimate which accounts are likely bots.
- Publish:
- A bot-rate estimate over the sample.
- A dashboard to explore results.
- A transparent methodology report.
- Project spec
- Data source exploration
- Data ingestion pipeline
- Feature engineering
- Modeling + evaluation
- Dashboard deployment
- Final report
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Python 3.11+
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Copy the template env file:
copy .env.example .env -
Then open
.envand set:STEAM_API_KEY=your_real_steam_api_key_here