Mobile Gaming Use Cases/Data ScienceData Scientist

Is the smurf detection model identifying accounts with suspiciously high win rates (above 85% in first 20 matches) with precision above 90%, and are confirmed smurfs comprising more than 3% of new competitive accounts?

Evaluate anti-smurf detection model accuracy to protect competitive integrity for legitimate new players in ranked modes

Metrics & KPIs

Detection precision/recallsmurf prevalencefalse positive ratedetection speed

Required Data

Account win rate datadetection model outputsmanual review outcomescompetitive account metadata

Data Sources

Data WarehouseTelemetry

Works with tools like

SnowflakeBigQueryRedshiftDatabricksClickHouseMixpanelAmplitudeGameAnalyticsFirebase AnalyticsdeltaDNA

How Bruin answers this

Bruin

Bruin AI Data Analyst

Is the smurf detection model identifying accounts with suspiciously high win rates (above 85% in first 20 matches) with precision above 90%, and are confirmed smurfs comprising more than 3% of new competitive accounts?

Bruin connects to your Data Warehouse, Telemetry and runs the analysis automatically.

It tracks Detection precision/recall, smurf prevalence, false positive rate and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.

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