TSM PuniSherDz/PaSha_bicepS's avatar

TSM PuniSherDz/PaSha_bicepS

76561198071077805 Steam ID
3767 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 08/01/2026 03:02
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

Player Analysis
Aim ScoreNORMAL
25.1
-4% avg 26.1 for this ELO range
Headshot %NORMAL
42.2%
+7% avg 39.6% for this ELO range
AccuracyNORMAL
13.5%
-4% avg 14.0% for this ELO range
FACEIT K/DELEVATED
1.35
+39% avg 0.97 for this ELO range
KASTNORMAL
74.4%
avg: 65.8% for this ELO range
HLTV 2.0ELEVATED
1.31
avg: 1.01 for this ELO range
Time to KillNORMAL
1.025s
avg: 0.821s for this ELO range
ADRELEVATED
94.2
avg: 75.2 for this ELO range
Win RateNORMAL
50.6%
avg: 50.7% for this ELO range
AWP AccNORMAL
31.3%
avg: 36.9% for this ELO range
PerformanceSUSPICIOUS
78.2
avg: 46.0 for this ELO range
Account TrustNORMAL
55.4
avg: 36.7 for this ELO range
Social RiskNORMAL
35.5
avg: 33.2 for this ELO range
FACEIT WR%ELEVATED
75.0%
avg: 50.5% for this ELO range
FACEIT HS%NORMAL
43.0%
avg: 41.4% for this ELO range
FACEIT MatchesN/A
4
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify unavailableFACEIT
(Probability: 0.19)

Concerning Indicators:

  • Social Network Risk: 21.0% 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?

TSM PuniSherDz/PaSha_bicepS 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 3767 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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