Shermi alta gama

76561198040514132 Steam ID

0 hrs CS2 Hours

No VAC Ban

Analyzed by TrackBans AI on 05/17/2026 07:38

AI Cheat Probability

--%

Calculating...

Legit 0% Suspicious 50% Cheating 100%

Model Confidence: --

Evidence & Analysis

AI Analysis Report

FACEIT ELO: 763 · Level 3

Player Analysis

FACEIT K/D

1.06

+26% avg 0.84 for this ELO range

Reaction Time

0.56

-17% avg 0.68 for this ELO range

KAST

72.90

+9% avg 66.86 for this ELO range

HLTV 2.0

1.12

+11% avg 1.01 for this ELO range

Pre-Aim

11.3

avg: 10.5 for this ELO range

Time to Kill

0.766s

avg: 0.809s for this ELO range

Opening Duels

43.0%

avg: 47.2% for this ELO range

ADR

80.7

avg: 74.7 for this ELO range

Account Trust

12.0

avg: 38.7 for this ELO range

Social Risk

65.0

avg: 30.3 for this ELO range

FACEIT WR%

46.9%

avg: 38.9% for this ELO range

FACEIT HS%

32.0%

avg: 40.7% for this ELO range

FACEIT Matches

827

Data sourcesSteam ProfileGames List hiddenStats hiddenLeetify not registeredFACEIT

(Probability: 0.02)

Take Action

Review the analysis and decide your next steps.

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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?

Shermi alta gama 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 0 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.