Inwalida♿'s avatar

Inwalida♿

76561199156643254 Steam ID
681 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/23/2026 01:42
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 761 · Level 3
Player Analysis
Aim ScoreELEVATED
30.2
+17% avg 25.8 for this ELO range
Headshot %NORMAL
40.5%
-2% avg 41.2% for this ELO range
AccuracySUSPICIOUS
20.3%
+72% avg 11.8% for this ELO range
FACEIT K/DNORMAL
0.48
-43% avg 0.84 for this ELO range
KASTNORMAL
59.2%
avg: 66.9% for this ELO range
HLTV 2.0NORMAL
0.74
avg: 1.01 for this ELO range
Time to KillNORMAL
1.373s
avg: 0.813s for this ELO range
ADRNORMAL
55.4
avg: 74.7 for this ELO range
Win RateNORMAL
47.5%
avg: 49.9% for this ELO range
AWP AccNORMAL
39.7%
avg: 36.4% for this ELO range
PerformanceELEVATED
65.0
avg: 44.3 for this ELO range
Account TrustSUSPICIOUS
24.5
avg: 38.5 for this ELO range
Social RiskELEVATED
44.1
avg: 30.7 for this ELO range
FACEIT WR%NORMAL
35.7%
avg: 39.0% for this ELO range
FACEIT HS%NORMAL
40.0%
avg: 40.7% for this ELO range
FACEIT MatchesN/A
14
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.16)

Concerning Indicators:

  • Social Network Risk: 28.2% 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?

Inwalida♿ 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 681 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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