pbisket's avatar

pbisket

76561198073094235 Steam ID
2042 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/07/2026 03:26
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

CS2 Premier: 17,960
Player Analysis
Aim ScoreNORMAL
80/100
+49% avg 53/100 for this ELO range
Headshot %NORMAL
31.1%
-21% avg 39.6% for this ELO range
AccuracyELEVATED
18.2%
+30% avg 14.0% for this ELO range
FACEIT K/DELEVATED
1.41
+46% avg 0.97 for this ELO range
Reaction TimeELEVATED
0.560s
avg: 0.665s for this ELO range
KASTELEVATED
77.7%
avg: 65.8% for this ELO range
HLTV 2.0ELEVATED
1.40
avg: 1.01 for this ELO range
Pre-AimNORMAL
9.3
avg: 10.4 for this ELO range
Time to KillNORMAL
0.993s
avg: 0.821s for this ELO range
Opening DuelsNORMAL
45.2%
avg: 48.7% for this ELO range
ADRELEVATED
91.4
avg: 75.2 for this ELO range
Win RateNORMAL
55.1%
avg: 50.7% for this ELO range
AWP AccNORMAL
33.3%
avg: 36.9% for this ELO range
PerformanceSUSPICIOUS
72.8
avg: 46.0 for this ELO range
Account TrustNORMAL
62.0
avg: 36.7 for this ELO range
Social RiskNORMAL
25.0
avg: 33.2 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.14)

Supporting Evidence:

  • Match History: Extensive history of 152 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?

pbisket 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 2042 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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