Team K1's avatar

Team K1

76561198442355610 Steam ID
160 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/04/2026 12:23
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 928 · Level 4
Player Analysis
Aim Score
34/100
-34% avg 52/100 for this ELO range
Headshot %
27.4%
-35% avg 42.0% for this ELO range
Accuracy
17.8%
+49% avg 11.9% for this ELO range
FACEIT K/D
0.70
-20% avg 0.87 for this ELO range
Reaction Time
0.758s
avg: 0.665s for this ELO range
Pre-Aim
13.8
avg: 10.2 for this ELO range
Opening Duels
25.0%
avg: 48.8% for this ELO range
Win Rate
49.1%
avg: 50.7% for this ELO range
AWP Acc
45.3%
avg: 37.3% for this ELO range
Performance
69.0
avg: 45.8 for this ELO range
Account Trust
26.8
avg: 38.3 for this ELO range
Social Risk
55.0
avg: 31.1 for this ELO range
FACEIT WR%
40.0%
avg: 43.8% for this ELO range
FACEIT HS%
51.0%
avg: 42.2% for this ELO range
FACEIT Matches
5
Hours
160
avg: 1025 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.05)

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?

Team K1 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 160 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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