titicoca el poderoso's avatar

titicoca el poderoso

76561198170007119 Steam ID
5682 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/03/2026 00:40
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 2283 · Level 10
CS2 Premier: 27,325
Player Analysis
Aim Score
81/100
+3% avg 78/100 for this ELO range
Headshot %
56.4%
+14% avg 49.5% for this ELO range
Accuracy
18.0%
+32% avg 13.7% for this ELO range
FACEIT K/D
1.27
+5% avg 1.20 for this ELO range
Reaction Time
0.583s
avg: 0.596s for this ELO range
KAST
72.8%
avg: 72.3% for this ELO range
HLTV 2.0
1.30
avg: 1.24 for this ELO range
Pre-Aim
9.5
avg: 9.2 for this ELO range
Time to Kill
0.923s
avg: 0.642s for this ELO range
Opening Duels
54.5%
avg: 55.2% for this ELO range
ADR
92.5
avg: 88.8 for this ELO range
Win Rate
52.3%
avg: 51.7% for this ELO range
AWP Acc
40.8%
avg: 37.9% for this ELO range
Performance
76.8
avg: 48.1 for this ELO range
Account Trust
63.5
avg: 45.5 for this ELO range
Social Risk
28.7
avg: 26.2 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.01)

Supporting Evidence:

  • Match History: Extensive history of 1128 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges
  • Clean Network: Social connections show low ban rates typical of legitimate 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?

titicoca el poderoso 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 5682 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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