We've been working harder than ever to make SmurfScanner the most powerful, accurate, and user-friendly tool available for Faceit and CS2 players. Over the past few months, we've shipped major improvements to core analysis systems, added entirely new features, and expanded our platform's accessibility to an international audience. Here's a complete breakdown of everything that's changed.
1. Enhanced Deep Scan β Multi-Match Analysis
Our flagship analysis feature received its most significant upgrade to date. The enhanced Deep Scan now allows users who log in and use the platform daily to perform deep analysis across their last 5 Faceit matches simultaneously.
Why does this matter? Single-match analysis is useful, but patterns emerge across multiple matches. A smurf doesn't appear in just one game β they appear across multiple sessions, often queuing with the same partner accounts. The multi-match Deep Scan lets you see:
- Whether the same suspicious player has appeared in multiple of your recent matches
- Whether specific account clusters (groups of players who always queue together) are consistently appearing in your lobbies
- Historical performance anomalies that aren't visible in a single match's data
- Ban events: if any player from your previous 5 matches gets banned, the Deep Scan flags it immediately
The daily login requirement is our way of ensuring this resource-intensive feature serves active, engaged community members rather than being used for bulk scraping. Log in each day to maintain your Deep Scan access.
2. Discord Webhook Notifications (Premium)
This is perhaps the most requested feature from our community since launch, and we're thrilled to have it live for Premium members. The Discord Webhook integration allows you to connect your SmurfScanner account to any Discord server channel, after which the system will automatically post a notification whenever:
- A player you've previously scanned receives a Faceit ban
- A player from one of your recent Deep Scanned matches gets banned
- A newly scanned player hits our maximum Risk Score threshold (High Risk verdict)
Setup takes less than 2 minutes: navigate to your Premium dashboard, generate a Webhook URL from your Discord server's settings, and paste it into the SmurfScanner notification settings. You can configure separate webhooks for different Discord servers β useful for teams or communities who want to share ban notifications with their whole squad.
The notification format includes the player's Faceit nickname, their Risk Score at the time of original scan, and a direct link to their profile for easy reference. Many communities have set up dedicated "#smurf-alerts" channels using this feature.
3. 14-Day Ban History (Premium)
Knowledge about your match history's integrity is powerful β and previously inaccessible without manual work. The 14-Day Ban History feature gives Premium users a complete view of every player from their last 14 days of Faceit matches who has since received any kind of ban.
This feature answers questions that have always frustrated competitive players:
- "Was that player who went 35-5 against us actually cheating or smurfing?"
- "How many of my recent loss matches involved a player who later got banned?"
- "Is my ELO loss from the last two weeks due to fair competition, or was I consistently matched against players who violated the rules?"
The 14-Day Ban History provides a clear, sortable table of every banned player from your recent matches, showing which team they were on, their role in that match, and what type of ban they received. Premium users consistently report this feature as one of the most emotionally satisfying β there's a real sense of validation in seeing that the player who destroyed your lobby last week was legitimately banned three days later.
4. 1v1 Player Comparison
Our new 1v1 Compare feature addresses a different use case from smurf detection: direct head-to-head skill comparison between any two Faceit players. Input two Faceit nicknames, and SmurfScanner generates a comprehensive side-by-side analysis that includes:
- Current ELO and Level with historical ELO trajectory charts
- K/D Ratio comparison across lifetime, last 20, and last 100 matches
- ADR comparison with trend lines showing whether each player is improving or declining
- Headshot percentage β useful for identifying rifler vs. AWPer playing styles
- Win rate comparison across multiple time periods
- Map-specific performance β see if one player is significantly stronger on specific maps
Use cases range from "who should be IGL in our team" to "am I actually better than this rival" to simply satisfying competitive curiosity. The visual design of the comparison screen is one of the most polished parts of the SmurfScanner interface β we're proud of how it turned out.
5. Full Multi-Language Support
SmurfScanner's player base spans the globe, and we felt strongly that the platform experience should feel native across major regions. In this update, we've shipped full localization for English, Turkish, and Russian β three of the largest demographic groups in our user base.
The localization covers:
- All UI elements and navigation items
- Scan result verdicts and explanatory text ("High Risk", "Suspicious", "Likely Clean" labels and descriptions)
- Error messages and system notifications
- Premium feature descriptions and checkout pages
- Email notifications and Discord webhook message templates
Users can switch their language preference in their profile settings at any time, and the system remembers the preference across sessions. We plan to expand to additional languages β including German, Portuguese (Brazilian), and Spanish β in upcoming updates based on demand signals from our user base.
6. Strengthened Smurf Detection Algorithm
At the heart of SmurfScanner is our Risk Score algorithm β the engine that synthesizes all available data points into a single actionable verdict. In this update cycle, we made significant refinements informed by community feedback and ban confirmation data.
Key improvements to the algorithm include:
- ADR trajectory analysis: We now model ADR changes across time windows (last 10, 20, 50, 100 matches) rather than using simple averages. Sudden spikes carry disproportionate weight compared to gradual improvements.
- VAC ban friend graph weighting: We improved how we weight VAC-banned friends in the risk calculation. We now account for how recently those bans occurred β a friend who was banned 3 years ago is less relevant than one banned 3 months ago.
- "Bought account" signature detection: We added specific pattern recognition for accounts that changed playing style abruptly β tracking changes in headshot rate, entry rate, and role-specific stats that suggest a different person is playing the account.
- Queue pattern analysis: Accounts that almost exclusively stack with the same 1-2 partners receive additional scrutiny, as this is a common boosting pattern.
- False positive reduction: Based on feedback from users who felt their legitimate accounts received unfairly high Risk Scores, we recalibrated thresholds for accounts with long match histories showing gradual performance improvement.
What's Coming Next
Our roadmap for the coming months includes several features that are currently in active development:
- Team Scanner: Paste an entire Faceit match room URL and scan all 10 players simultaneously in a single operation
- Historical ELO Graph: See a visual history of a player's ELO over their entire Faceit career
- Community Report Integration: A structured mechanism for Premium users to submit detailed reports directly to our moderation team for cross-referencing with Faceit's own investigative process
- Mobile App (Beta): A companion app allowing quick scans from your phone during warmup, without needing to open a browser
We're building SmurfScanner for the community β your feedback directly shapes our roadmap. If you have a feature request or have found a bug, reach out via our Contact page.
More updates are on the way. Thank you for being part of the SmurfScanner community. Try the latest features now β