LittleLuPis's avatar

LittleLuPis

76561198113266365 Steam ID
1438 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 04/23/2026 19:59
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 1073 · Level 5
CS2 Premier: 15,000
Player Analysis
Aim Score
24.3
-11% avg 27.3 for this ELO range
Headshot %
45.7%
+6% avg 43.0% for this ELO range
Accuracy
0.9%
-93% avg 14.3% for this ELO range
FACEIT K/D
1.01
-7% avg 1.09 for this ELO range
Win Rate
56.2%
avg: 51.4% for this ELO range
MVP/Round
0.12
avg: 0.14 for this ELO range
AWP Acc
37.5%
avg: 36.7% for this ELO range
AK-47 Acc
19.1%
avg: 18.8% for this ELO range
Deagle Acc
27.0%
avg: 26.1% for this ELO range
Performance
81.4
avg: 74.0 for this ELO range
Account Trust
56.0
avg: 42.2 for this ELO range
Social Risk
25.0
avg: 27.7 for this ELO range
FACEIT WR%
50.9%
avg: 54.4% for this ELO range
FACEIT HS%
44.0%
avg: 43.6% for this ELO range
FACEIT Matches
114
Hours
1438
avg: 1453 for this ELO range
This profile has been analyzed 4 times
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.04)

Supporting Evidence:

  • Match History: Extensive history of 374 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?

LittleLuPis 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 1438 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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