➀ Kiиg Pґεsley's avatar

➀ Kiиg Pґεsley

76561198218265683 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 08/02/2026 21:23
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1057 · Level 5
Player Analysis
Aim ScoreNORMAL
78/100
+29% avg 60/100 for this ELO range
Headshot %NORMAL
37.3%
-14% avg 43.6% for this ELO range
AccuracyNORMAL
4.7%
-64% avg 13.1% for this ELO range
FACEIT K/DNORMAL
1.06
-2% avg 1.09 for this ELO range
KASTNORMAL
73.2%
avg: 69.5% for this ELO range
HLTV 2.0NORMAL
1.12
avg: 1.11 for this ELO range
Time to KillNORMAL
1.003s
avg: 0.739s for this ELO range
ADRNORMAL
79.6
avg: 81.0 for this ELO range
Win RateNORMAL
51.9%
avg: 51.0% for this ELO range
AWP AccNORMAL
37.1%
avg: 36.8% for this ELO range
PerformanceSUSPICIOUS
79.3
avg: 46.7 for this ELO range
Account TrustSUSPICIOUS
12.4
avg: 41.7 for this ELO range
Social RiskSUSPICIOUS
65.0
avg: 28.5 for this ELO range
FACEIT WR%NORMAL
51.7%
avg: 54.4% for this ELO range
FACEIT HS%NORMAL
40.0%
avg: 43.6% for this ELO range
FACEIT MatchesN/A
58
avg for this ELO range
Data sourcesSteam ProfileGames List hiddenStatsLeetifyFACEIT
(Probability: 0.07)

Supporting Evidence:

  • Match History: Extensive history of 589 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?

➀ Kiиg Pґεsley 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 0 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 — 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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