-=[Dirty Cock]=- Aids Cancer

76561198045493659 Steam ID

1884 hrs CS2 Hours

No VAC Ban

Analyzed by TrackBans AI on 07/24/2026 22:59

AI Cheat Probability

--%

Calculating...

Legit 0% Suspicious 50% Cheating 100%

Evidence & Analysis

AI Analysis Report

FACEIT ELO: 895 · Level 3

Player Analysis

Aim ScoreNORMAL

24.3

-8% avg 26.4 for this ELO range

Headshot %NORMAL

33.0%

-22% avg 42.0% for this ELO range

AccuracyNORMAL

13.1%

+10% avg 11.9% for this ELO range

FACEIT K/DNORMAL

0.49

-44% avg 0.87 for this ELO range

Reaction TimeNORMAL

0.674s

avg: 0.665s for this ELO range

KASTNORMAL

65.1%

avg: 67.9% for this ELO range

HLTV 2.0NORMAL

0.82

avg: 1.05 for this ELO range

Pre-AimNORMAL

11.1

avg: 10.2 for this ELO range

Time to KillNORMAL

1.210s

avg: 0.790s for this ELO range

Opening DuelsNORMAL

32.6%

avg: 48.8% for this ELO range

ADRNORMAL

64.1

avg: 77.4 for this ELO range

Win RateNORMAL

46.1%

avg: 50.7% for this ELO range

AWP AccNORMAL

36.7%

avg: 37.3% for this ELO range

PerformanceNORMAL

49.4

avg: 45.8 for this ELO range

Account TrustNORMAL

64.4

avg: 38.3 for this ELO range

Social RiskNORMAL

10.4

avg: 31.1 for this ELO range

avg for this ELO range

Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT

(Probability: 0.03)

Concerning Indicators:

Social Network Risk: 10.8% of friends have VAC bans - significantly higher than typical players

Take Action

Review the analysis and decide your next steps.

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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?

-=[Dirty Cock]=- Aids Cancer 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 1884 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.