twitch.tv/citrusfruit7's avatar

twitch.tv/citrusfruit7

76561198271138637 Steam ID
4838 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/05/2026 07:33
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1331 · Level 6
CS2 Premier: 22,861
Player Analysis
Aim Score
68/100
+2% avg 67/100 for this ELO range
Headshot %
52.6%
+16% avg 45.4% for this ELO range
Accuracy
8.6%
-35% avg 13.2% for this ELO range
FACEIT K/D
1.24
+7% avg 1.16 for this ELO range
Reaction Time
0.655s
avg: 0.628s for this ELO range
KAST
69.1%
avg: 70.7% for this ELO range
HLTV 2.0
1.10
avg: 1.16 for this ELO range
Pre-Aim
12.2
avg: 9.6 for this ELO range
Time to Kill
0.918s
avg: 0.702s for this ELO range
Opening Duels
43.7%
avg: 52.2% for this ELO range
ADR
83.5
avg: 84.0 for this ELO range
Win Rate
50.9%
avg: 51.3% for this ELO range
AWP Acc
36.9%
avg: 36.9% for this ELO range
Performance
72.7
avg: 47.3 for this ELO range
Account Trust
61.1
avg: 43.4 for this ELO range
Social Risk
7.2
avg: 27.5 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.01)

Supporting Evidence:

  • Match History: Extensive history of 3338 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?

twitch.tv/citrusfruit7 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 4838 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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