randall-'s avatar

randall-

76561198173249858 Steam ID
2933 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 04/14/2026 21:46
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

Leetify Data: Leetify service was unavailable. Analysis based on Steam data only.
FACEIT Data: Enhanced analysis using FACEIT data | ELO: 1254 | Level: 6.
FACEIT ELO: 1254 · Level 6
Player Analysis
Aim Score
32.9
+21% avg 27.3
Headshot %
61.4%
+43% avg 43.0%
Accuracy
17.9%
+25% avg 14.3%
FACEIT K/D
1.43
+32% avg 1.09
Win Rate
53.1%
avg: 51.4%
MVP/Round
0.13
avg: 0.14
AWP Acc
33.9%
avg: 36.7%
AK-47 Acc
20.3%
avg: 18.8%
Deagle Acc
27.3%
avg: 26.1%
Performance
75.6
avg: 74.0
Account Trust
50.4
avg: 42.2
Social Risk
25.0
avg: 27.7
FACEIT WR%
52.9%
avg: 54.4%
FACEIT HS%
50.0%
avg: 43.6%
FACEIT Matches
274
Hours
2933
avg: 1453
Data is sufficiently complete for a reliable prediction. ✅
Prediction Confidence: High based on comprehensive Steam statistics, social network data.
(Probability: 0.25)

After analyzing the available data, I can provide you with these insights:
Data Sources:
Steam StatsFACEIT ProfileFACEIT StatsFACEIT Maps

Summary:

Risk Assessment: Mixed indicators present - some concerning patterns detected

The analysis reveals some patterns worth monitoring, but not definitive evidence of cheating. Consider this analysis as part of a broader assessment when evaluating this player.

This profile has been analyzed 1 time.

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?

randall- 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 2933 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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