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AoW.Nitro_Demon

76561198278884503 Steam ID
969 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 08/23/2026 23:44
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1000 · Level 4
Player Analysis
Aim ScoreNORMAL
28/100
-46% avg 52/100 for this ELO range
Headshot %NORMAL
38.0%
-10% avg 42.0% for this ELO range
AccuracyNORMAL
13.0%
+9% avg 11.9% for this ELO range
FACEIT K/DNORMAL
0.54
-38% avg 0.87 for this ELO range
Reaction TimeNORMAL
0.747s
avg: 0.665s for this ELO range
KASTNORMAL
65.7%
avg: 67.9% for this ELO range
HLTV 2.0NORMAL
0.96
avg: 1.05 for this ELO range
Pre-AimNORMAL
13.1
avg: 10.2 for this ELO range
Time to KillNORMAL
1.204s
avg: 0.790s for this ELO range
Opening DuelsNORMAL
31.8%
avg: 48.8% for this ELO range
ADRNORMAL
71.4
avg: 77.4 for this ELO range
Win RateNORMAL
48.3%
avg: 50.7% for this ELO range
AWP AccNORMAL
39.2%
avg: 37.3% for this ELO range
PerformanceELEVATED
65.8
avg: 45.8 for this ELO range
Account TrustNORMAL
49.4
avg: 38.3 for this ELO range
Social RiskELEVATED
36.9
avg: 31.1 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.06)

Concerning Indicators:

  • Social Network Risk: 13.8% of friends have VAC bans - significantly higher than typical players

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?

AoW.Nitro_Demon 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 969 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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