β™‘ 𝐒 β™‘'s avatar

β™‘ 𝐒 β™‘

76561198878423328 Steam ID
2963 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/14/2026 00:50
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 2218 · Level 10
CS2 Premier: 26,685
Player Analysis
Aim Score
28.4
-3% avg 29.3 for this ELO range
Headshot %
52.1%
+7% avg 48.8% for this ELO range
Accuracy
10.9%
-27% avg 15.0% for this ELO range
FACEIT K/D
1.14
-5% avg 1.20 for this ELO range
Reaction Time
0.448s
avg: 0.596s for this ELO range
KAST
73.7%
avg: 72.2% for this ELO range
HLTV 2.0
1.76
avg: 1.24 for this ELO range
Pre-Aim
6.4
avg: 9.2 for this ELO range
Time to Kill
0.558s
avg: 0.638s for this ELO range
Opening Duels
62.4%
avg: 55.4% for this ELO range
ADR
124.0
avg: 88.7 for this ELO range
Win Rate
51.4%
avg: 51.7% for this ELO range
AWP Acc
40.4%
avg: 37.6% for this ELO range
Performance
77.1
avg: 48.1 for this ELO range
Account Trust
45.8
avg: 45.8 for this ELO range
Social Risk
25.0
avg: 25.7 for this ELO range
This profile has been analyzed 2 times
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.03)

Concerning Indicators:

  • Social Network Risk: 20.0% of friends have VAC bans - significantly higher than typical players

Supporting Evidence:

  • Match History: Extensive history of 2199 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges

Take Action

Review the analysis and decide your next steps.

This is a statistical analysis based on public data. Confidence is not 100% accurate. Results should be considered alongside other factors when making decisions.

FAQ

Frequently Asked Questions

What does TrackBans say about this player?

β™‘ 𝐒 β™‘ has been analyzed by our AI. The score is based on 180+ public stats, not gameplay demos.

How many CS2 hours does this profile have?

According to Steam, the account has logged 2963 hours in Counter-Strike 2.

What does the percentage actually mean?

It reflects how closely this account's patterns match those of already-banned users. 0-29% low risk, 30-49% caution, 50-79% suspicious, 80-100% high risk.

Can the AI make mistakes?

Yes β€” statistical models can yield false positives/negatives. If you believe the result is wrong, re-analyse after a few days; fresh data may change the outcome.

How reliable is TrackBans for CS2 cheat detection?

Our AI model achieves 86.29% F1-Score and 93.60% ROC-AUC, trained on 204,000+ profiles.

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